how to introduce methods in a research paper

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How to Write a Research Paper Introduction (with Examples)

The research paper introduction section, along with the Title and Abstract, can be considered the face of any research paper. The following article is intended to guide you in organizing and writing the research paper introduction for a quality academic article or dissertation.

The research paper introduction aims to present the topic to the reader. A study will only be accepted for publishing if you can ascertain that the available literature cannot answer your research question. So it is important to ensure that you have read important studies on that particular topic, especially those within the last five to ten years, and that they are properly referenced in this section. 1 What should be included in the research paper introduction is decided by what you want to tell readers about the reason behind the research and how you plan to fill the knowledge gap. The best research paper introduction provides a systemic review of existing work and demonstrates additional work that needs to be done. It needs to be brief, captivating, and well-referenced; a well-drafted research paper introduction will help the researcher win half the battle.

The introduction for a research paper is where you set up your topic and approach for the reader. It has several key goals:

Present your research topic
Capture reader interest
Summarize existing research
Position your own approach
Define your specific research problem and problem statement
Highlight the novelty and contributions of the study
Give an overview of the paper’s structure

The research paper introduction can vary in size and structure depending on whether your paper presents the results of original empirical research or is a review paper. Some research paper introduction examples are only half a page while others are a few pages long. In many cases, the introduction will be shorter than all of the other sections of your paper; its length depends on the size of your paper as a whole.

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The introduction in a research paper is placed at the beginning to guide the reader from a broad subject area to the specific topic that your research addresses. They present the following information to the reader

Scope: The topic covered in the research paper
Context: Background of your topic
Importance: Why your research matters in that particular area of research and the industry problem that can be targeted

The research paper introduction conveys a lot of information and can be considered an essential roadmap for the rest of your paper. A good introduction for a research paper is important for the following reasons:

It stimulates your reader’s interest: A good introduction section can make your readers want to read your paper by capturing their interest. It informs the reader what they are going to learn and helps determine if the topic is of interest to them.
It helps the reader understand the research background: Without a clear introduction, your readers may feel confused and even struggle when reading your paper. A good research paper introduction will prepare them for the in-depth research to come. It provides you the opportunity to engage with the readers and demonstrate your knowledge and authority on the specific topic.
It explains why your research paper is worth reading: Your introduction can convey a lot of information to your readers. It introduces the topic, why the topic is important, and how you plan to proceed with your research.
It helps guide the reader through the rest of the paper: The research paper introduction gives the reader a sense of the nature of the information that will support your arguments and the general organization of the paragraphs that will follow. It offers an overview of what to expect when reading the main body of your paper.

What are the parts of introduction in the research?

A good research paper introduction section should comprise three main elements: 2

What is known: This sets the stage for your research. It informs the readers of what is known on the subject.
What is lacking: This is aimed at justifying the reason for carrying out your research. This could involve investigating a new concept or method or building upon previous research.
What you aim to do: This part briefly states the objectives of your research and its major contributions. Your detailed hypothesis will also form a part of this section.

How to write a research paper introduction?

The first step in writing the research paper introduction is to inform the reader what your topic is and why it’s interesting or important. This is generally accomplished with a strong opening statement. The second step involves establishing the kinds of research that have been done and ending with limitations or gaps in the research that you intend to address. Finally, the research paper introduction clarifies how your own research fits in and what problem it addresses. If your research involved testing hypotheses, these should be stated along with your research question. The hypothesis should be presented in the past tense since it will have been tested by the time you are writing the research paper introduction.

The following key points, with examples, can guide you when writing the research paper introduction section:

Highlight the importance of the research field or topic
Describe the background of the topic
Present an overview of current research on the topic

Example: The inclusion of experiential and competency-based learning has benefitted electronics engineering education. Industry partnerships provide an excellent alternative for students wanting to engage in solving real-world challenges. Industry-academia participation has grown in recent years due to the need for skilled engineers with practical training and specialized expertise. However, from the educational perspective, many activities are needed to incorporate sustainable development goals into the university curricula and consolidate learning innovation in universities.

Reveal a gap in existing research or oppose an existing assumption
Formulate the research question

Example: There have been plausible efforts to integrate educational activities in higher education electronics engineering programs. However, very few studies have considered using educational research methods for performance evaluation of competency-based higher engineering education, with a focus on technical and or transversal skills. To remedy the current need for evaluating competencies in STEM fields and providing sustainable development goals in engineering education, in this study, a comparison was drawn between study groups without and with industry partners.

State the purpose of your study
Highlight the key characteristics of your study
Describe important results
Highlight the novelty of the study.
Offer a brief overview of the structure of the paper.

Example: The study evaluates the main competency needed in the applied electronics course, which is a fundamental core subject for many electronics engineering undergraduate programs. We compared two groups, without and with an industrial partner, that offered real-world projects to solve during the semester. This comparison can help determine significant differences in both groups in terms of developing subject competency and achieving sustainable development goals.

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how to introduce methods in a research paper

How to use Paperpal to write the Introduction section

Step 1: Sign up on Paperpal and click on the Copilot feature, under this choose Outlines > Research Article > Introduction

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Step 3: Fill in the specifics, such as your field of study, brief description or details you want to include, which will help the AI generate the outline for your Introduction.

Step 4: Use this outline and sentence suggestions to develop your content, adding citations where needed and modifying it to align with your specific research focus.

Step 5: Turn to Paperpal’s granular language checks to refine your content, tailor it to reflect your personal writing style, and ensure it effectively conveys your message.

You can use the same process to develop each section of your article, and finally your research paper in half the time and without any of the stress.

The purpose of the research paper introduction is to introduce the reader to the problem definition, justify the need for the study, and describe the main theme of the study. The aim is to gain the reader’s attention by providing them with necessary background information and establishing the main purpose and direction of the research.

The length of the research paper introduction can vary across journals and disciplines. While there are no strict word limits for writing the research paper introduction, an ideal length would be one page, with a maximum of 400 words over 1-4 paragraphs. Generally, it is one of the shorter sections of the paper as the reader is assumed to have at least a reasonable knowledge about the topic. 2 For example, for a study evaluating the role of building design in ensuring fire safety, there is no need to discuss definitions and nature of fire in the introduction; you could start by commenting upon the existing practices for fire safety and how your study will add to the existing knowledge and practice.

When deciding what to include in the research paper introduction, the rest of the paper should also be considered. The aim is to introduce the reader smoothly to the topic and facilitate an easy read without much dependency on external sources. 3 Below is a list of elements you can include to prepare a research paper introduction outline and follow it when you are writing the research paper introduction. Topic introduction: This can include key definitions and a brief history of the topic. Research context and background: Offer the readers some general information and then narrow it down to specific aspects. Details of the research you conducted: A brief literature review can be included to support your arguments or line of thought. Rationale for the study: This establishes the relevance of your study and establishes its importance. Importance of your research: The main contributions are highlighted to help establish the novelty of your study Research hypothesis: Introduce your research question and propose an expected outcome. Organization of the paper: Include a short paragraph of 3-4 sentences that highlights your plan for the entire paper

Cite only works that are most relevant to your topic; as a general rule, you can include one to three. Note that readers want to see evidence of original thinking. So it is better to avoid using too many references as it does not leave much room for your personal standpoint to shine through. Citations in your research paper introduction support the key points, and the number of citations depend on the subject matter and the point discussed. If the research paper introduction is too long or overflowing with citations, it is better to cite a few review articles rather than the individual articles summarized in the review. A good point to remember when citing research papers in the introduction section is to include at least one-third of the references in the introduction.

The literature review plays a significant role in the research paper introduction section. A good literature review accomplishes the following: Introduces the topic – Establishes the study’s significance – Provides an overview of the relevant literature – Provides context for the study using literature – Identifies knowledge gaps However, remember to avoid making the following mistakes when writing a research paper introduction: Do not use studies from the literature review to aggressively support your research Avoid direct quoting Do not allow literature review to be the focus of this section. Instead, the literature review should only aid in setting a foundation for the manuscript.

Remember the following key points for writing a good research paper introduction: 4

Avoid stuffing too much general information: Avoid including what an average reader would know and include only that information related to the problem being addressed in the research paper introduction. For example, when describing a comparative study of non-traditional methods for mechanical design optimization, information related to the traditional methods and differences between traditional and non-traditional methods would not be relevant. In this case, the introduction for the research paper should begin with the state-of-the-art non-traditional methods and methods to evaluate the efficiency of newly developed algorithms.
Avoid packing too many references: Cite only the required works in your research paper introduction. The other works can be included in the discussion section to strengthen your findings.
Avoid extensive criticism of previous studies: Avoid being overly critical of earlier studies while setting the rationale for your study. A better place for this would be the Discussion section, where you can highlight the advantages of your method.
Avoid describing conclusions of the study: When writing a research paper introduction remember not to include the findings of your study. The aim is to let the readers know what question is being answered. The actual answer should only be given in the Results and Discussion section.

To summarize, the research paper introduction section should be brief yet informative. It should convince the reader the need to conduct the study and motivate him to read further. If you’re feeling stuck or unsure, choose trusted AI academic writing assistants like Paperpal to effortlessly craft your research paper introduction and other sections of your research article.

1. Jawaid, S. A., & Jawaid, M. (2019). How to write introduction and discussion. Saudi Journal of Anaesthesia, 13(Suppl 1), S18.

2. Dewan, P., & Gupta, P. (2016). Writing the title, abstract and introduction: Looks matter!. Indian pediatrics, 53, 235-241.

3. Cetin, S., & Hackam, D. J. (2005). An approach to the writing of a scientific Manuscript1. Journal of Surgical Research, 128(2), 165-167.

4. Bavdekar, S. B. (2015). Writing introduction: Laying the foundations of a research paper. Journal of the Association of Physicians of India, 63(7), 44-6.

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How to Start a Methods Section in Research? [with Examples]

The examples below are from 76,350 full-text PubMed research papers that I analyzed in order to explore common ways to start the Materials and Methods section.

Research papers included in this analysis were selected at random from those uploaded to PubMed Central between the years 2016 and 2021. I used the BioC API to download the data (see the References section below).

Examples of how to start writing the Methods section

The Methods section is the recipe for the study: it should provide the reader enough information to replicate the study without looking elsewhere. [for more information, see: How to Write & Publish a Research Paper: Step-by-Step Guide ]

The Methods section can:

1. Start by mentioning the approvals acquired to conduct the study

For example:

“ The study protocol was approved by the institutional research commissions of the Swiss Tropical and Public Health Institute (Swiss TPH; Basel, Switzerland) and the Centre Suisse de Recherches Scientifiques en Côte d’Ivoire (CSRS; Abidjan, Côte d’Ivoire). Ethical approval was granted by the ethics committee of Basel (EKBB; reference no. 316/08), and the Ministry of Higher Education and Scientific Research in Côte d’Ivoire (reference no. 124/MESRS/DGRSIT/YKS/sac).” Source: taken from the Methods section of this PubMed article

2. Start by mentioning the study design

“This cross-sectional study was performed among students and staff of one of the largest government-funded universities in Malaysia.” Source: taken from the Methods section of this PubMed article

3. Start by mentioning the date, duration, and place of the study

“This cross-sectional study was a part of the Student Mental Health Survey that was conducted at Akita University between May 20 and June 16, 2020 .” Source: taken from the Methods section of this PubMed article

4. Start by mentioning the source of the data

“ This study used three datasets from the 2007, 2013–14, and 2018 Zambian Demographic Health Surveys (DHS).” Source: taken from the Methods section of this PubMed article

5. Start by mentioning the sample size

“Data were acquired on 30 patients with schizophrenia and 30 healthy controls .” Source: taken from the Methods section of this PubMed article

6. Start by justifying the use of the main material or method

“ In order to describe the infectious disease progression we use the minimal and prototypical SIR model.” Source: taken from the Methods section of this PubMed article

Common words used to start a Methods section

Here’s a list of the most common words used at the beginning of the Methods section:

“This study was approved by…”
“This study was conducted at…”
“This was a retrospective study…”
“This cross-sectional study was conducted…”
“This study was conducted in accordance…”
“This study was performed in accordance…”
“All procedures were approved by the…”
“Written informed consent was obtained from…”
Comeau DC, Wei CH, Islamaj Doğan R, and Lu Z. PMC text mining subset in BioC: about 3 million full text articles and growing, Bioinformatics , btz070, 2019.

How to Write a Methods Section for a Research Paper

A common piece of advice for authors preparing their first journal article for publication is to start with the methods section: just list everything that was done and go from there. While that might seem like a very practical approach to a first draft, if you do this without a clear outline and a story in mind, you can easily end up with journal manuscript sections that are not logically related to each other.

Since the methods section constitutes the core of your paper, no matter when you write it, you need to use it to guide the reader carefully through your story from beginning to end without leaving questions unanswered. Missing or confusing details in this section will likely lead to early rejection of your manuscript or unnecessary back-and-forth with the reviewers until eventual publication. Here, you will find some useful tips on how to make your methods section the logical foundation of your research paper.

Not just a list of experiments and methods

While your introduction section provides the reader with the necessary background to understand your rationale and research question (and, depending on journal format and your personal preference, might already summarize the results), the methods section explains what exactly you did and how you did it. The point of this section is not to list all the boring details just for the sake of completeness. The purpose of the methods sections is to enable the reader to replicate exactly what you did, verify or corroborate your results, or maybe find that there are factors you did not consider or that are more relevant than expected.

To make this section as easy to read as possible, you must clearly connect it to the information you provide in the introduction section before and the results section after, it needs to have a clear structure (chronologically or according to topics), and you need to present your results according to the same structure or topics later in the manuscript. There are also official guidelines and journal instructions to follow and ethical issues to avoid to ensure that your manuscript can quickly reach the publication stage.

Table of Contents:

General Methods Structure: What is Your Story?
What Methods Should You Report (and Leave Out)?
Details Frequently Missing from the Methods Section

More Journal Guidelines to Consider

Accurate and Appropriate Language in the Methods

General Methods Section Structure: What Is Your Story?

You might have conducted a number of experiments, maybe also a pilot before the main study to determine some specific factors or a follow-up experiment to clarify unclear details later in the process. Throwing all of these into your methods section, however, might not help the reader understand how everything is connected and how useful and appropriate your methodological approach is to investigate your specific research question. You therefore need to first come up with a clear outline and decide what to report and how to present that to the reader.

The first (and very important) decision to make is whether you present your experiments chronologically (e.g., Experiment 1, Experiment 2, Experiment 3… ), and guide the reader through every step of the process, or if you organize everything according to subtopics (e.g., Behavioral measures, Structural imaging markers, Functional imaging markers… ). In both cases, you need to use clear subheaders for the different subsections of your methods, and, very importantly, follow the same structure or focus on the same topics/measures in the results section so that the reader can easily follow along (see the two examples below).

If you are in doubt which way of organizing your experiments is better for your study, just ask yourself the following questions:

Does the reader need to know the timeline of your study?
Is it relevant that one experiment was conducted first, because the outcome of this experiment determined the stimuli or factors that went into the next?
Did the results of your first experiment leave important questions open that you addressed in an additional experiment (that was maybe not planned initially)?
Is the answer to all of these questions “no”? Then organizing your methods section according to topics of interest might be the more logical choice.

If you think your timeline, protocol, or setup might be confusing or difficult for the reader to grasp, consider adding a graphic, flow diagram, decision tree, or table as a visual aid.

What Methods Should You Report (and Leave Out)?

The answer to this question is quite simple–you need to report everything that another researcher needs to know to be able to replicate your study. Just imagine yourself reading your methods section in the future and trying to set up the same experiments again without prior knowledge. You would probably need to ask questions such as:

Where did you conduct your experiments (e.g., in what kind of room, under what lighting or temperature conditions, if those are relevant)?
What devices did you use? Are there specific settings to report?
What specific software (and version of that software) did you use?
How did you find and select your participants?
How did you assign participants into groups?
Did you exclude participants from the analysis? Why and how?
Where did your reagents or antibodies come from? Can you provide a Research Resource Identifier (RRID) ?
Did you make your stimuli yourself or did you get them from somewhere?
Are the stimuli you used available for other researchers?
What kind of questionnaires did you use? Have they been validated?
How did you analyze your data? What level of significance did you use?
Were there any technical issues and did you have to adjust protocols?

Note that for every experimental detail you provide, you need to tell the reader (briefly) why you used this type of stimulus/this group of participants/these specific amounts of reagents. If there is earlier published research reporting the same methods, cite those studies. If you did pilot experiments to determine those details, describe the procedures and the outcomes of these experiments. If you made assumptions about the suitability of something based on the literature and common practice at your institution, then explain that to the reader.

In a nutshell, established methods need to be cited, and new methods need to be clearly described and briefly justified. However, if the fact that you use a new approach or a method that is not traditionally used for the data or phenomenon you study is one of the main points of your study (and maybe already reflected in the title of your article), then you need to explain your rationale for doing so in the introduction already and discuss it in more detail in the discussion section .

Note that you also need to explain your statistical analyses at the end of your methods section. You present the results of these analyses later, in the results section of your paper, but you need to show the reader in the methods section already that your approach is either well-established or valid, even if it is new or unusual.

When it comes to the question of what details you should leave out, the answer is equally simple ‒ everything that you would not need to replicate your study in the future. If the educational background of your participants is listed in your institutional database but is not relevant to your study outcome, then don’t include that. Other things you should not include in the methods section:

Background information that you already presented in the introduction section.
In-depth comparisons of different methods ‒ these belong in the discussion section.
Results, unless you summarize outcomes of pilot experiments that helped you determine factors for your main experiment.

Also, make sure your subheadings are as clear as possible, suit the structure you chose for your methods section, and are in line with the target journal guidelines. If you studied a disease intervention in human participants, then your methods section could look similar to this:

Since the main point of interest here are your patient-centered outcome variables, you would center your results section on these as well and choose your headers accordingly (e.g., Patient characteristics, Baseline evaluation, Outcome variable 1, Outcome variable 2, Drop-out rate ).

If, instead, you did a series of visual experiments investigating the perception of faces including a pilot experiment to create the stimuli for your actual study, you would need to structure your methods section in a very different way, maybe like this:

Since here the analysis and outcome of the pilot experiment are already described in the methods section (as the basis for the main experimental setup and procedure), you do not have to mention it again in the results section. Instead, you could choose the two main experiments to structure your results section ( Discrimination and classification, Familiarization and adaptation ), or divide the results into all your test measures and/or potential interactions you described in the methods section (e.g., Discrimination performance, Classification performance, Adaptation aftereffects, Correlation analysis ).

Details Commonly Missing from the Methods Section

Manufacturer information.

For laboratory or technical equipment, you need to provide the model, name of the manufacturer, and company’s location. The usual format for these details is the product name (company name, city, state) for US-based manufacturers and the product name (company name, city/town, country) for companies outside the US.

Sample size and power estimation

Power and sample size estimations are measures for how many patients or participants are needed in a study in order to detect statistical significance and draw meaningful conclusions from the results. Outside of the medical field, studies are sometimes still conducted with a “the more the better” approach in mind, but since many journals now ask for those details, it is better to not skip this important step.

Ethical guidelines and approval

In addition to describing what you did, you also need to assure the editor and reviewers that your methods and protocols followed all relevant ethical standards and guidelines. This includes applying for approval at your local or national ethics committee, providing the name or location of that committee as well as the approval reference number you received, and, if you studied human participants, a statement that participants were informed about all relevant experimental details in advance and signed consent forms before the start of the study. For animal studies, you usually need to provide a statement that all procedures included in your research were in line with the Declaration of Helsinki. Make sure you check the target journal guidelines carefully, as these statements sometimes need to be placed at the end of the main article text rather than in the method section.

Structure & word limitations

While many journals simply follow the usual style guidelines (e.g., APA for the social sciences and psychology, AMA for medical research) and let you choose the headers of your method section according to your preferred structure and focus, some have precise guidelines and strict limitations, for example, on manuscript length and the maximum number of subsections or header levels. Make sure you read the instructions of your target journal carefully and restructure your method section if necessary before submission. If the journal does not give you enough space to include all the details that you deem necessary, then you can usually submit additional details as “supplemental” files and refer to those in the main text where necessary.

Standardized checklists

In addition to ethical guidelines and approval, journals also often ask you to submit one of the official standardized checklists for different study types to ensure all essential details are included in your manuscript. For example, there are checklists for randomized clinical trials, CONSORT (Consolidated Standards of Reporting Trials) , cohort, case-control, cross‐sectional studies, STROBE (STrengthening the Reporting of OBservational studies in Epidemiology ), diagnostic accuracy, STARD (STAndards for the Reporting of Diagnostic accuracy studies) , systematic reviews and meta‐analyses PRISMA (Preferred Reporting Items for Systematic reviews and Meta‐Analyses) , and Case reports, CARE (CAse REport) .

Make sure you check if the manuscript uses a single- or double-blind review procedure , and delete all information that might allow a reviewer to guess where the authors are located from the manuscript text if necessary. This means that your method section cannot list the name and location of your institution, the names of researchers who conducted specific tests, or the name of your institutional ethics committee.

Accurate and Appropriate Language in the Methods Section

Like all sections of your research paper, your method section needs to be written in an academic tone . That means it should be formal, vague expressions and colloquial language need to be avoided, and you need to correctly cite all your sources. If you describe human participants in your method section then you should be especially careful about your choice of words. For example, “participants” sounds more respectful than “subjects,” and patient-first language, that is, “patients with cancer,” is considered more appropriate than “cancer patients” by many journals.

Passive voice is often considered the standard for research papers, but it is completely fine to mix passive and active voice, even in the method section, to make your text as clear and concise as possible. Use the simple past tense to describe what you did, and the present tense when you refer to diagrams or tables. Have a look at this article if you need more general input on which verb tenses to use in a research paper .

Lastly, make sure you label all the standard tests and questionnaires you use correctly (look up the original publication when in doubt) and spell genes and proteins according to the common databases for the species you studied, such as the HUGO Gene Nomenclature Committee database for human studies .

Visit Wordvice AI’s AI Text Editor to receive a free grammar check and English editing services (including manuscript editing , paper editing , and dissertation editing ) before submitting your manuscript to journal editors.

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How to Write a Methods Section for a Psychology Paper

Tips and Examples of an APA Methods Section

Kendra Cherry, MS, is a psychosocial rehabilitation specialist, psychology educator, and author of the "Everything Psychology Book."

Emily is a board-certified science editor who has worked with top digital publishing brands like Voices for Biodiversity, Study.com, GoodTherapy, Vox, and Verywell.

Verywell / Brianna Gilmartin

The methods section of an APA format psychology paper provides the methods and procedures used in a research study or experiment . This part of an APA paper is critical because it allows other researchers to see exactly how you conducted your research.

Method refers to the procedure that was used in a research study. It included a precise description of how the experiments were performed and why particular procedures were selected. While the APA technically refers to this section as the 'method section,' it is also often known as a 'methods section.'

The methods section ensures the experiment's reproducibility and the assessment of alternative methods that might produce different results. It also allows researchers to replicate the experiment and judge the study's validity.

This article discusses how to write a methods section for a psychology paper, including important elements to include and tips that can help.

What to Include in a Method Section

So what exactly do you need to include when writing your method section? You should provide detailed information on the following:

Research design
Participants
Participant behavior

The method section should provide enough information to allow other researchers to replicate your experiment or study.

Components of a Method Section

The method section should utilize subheadings to divide up different subsections. These subsections typically include participants, materials, design, and procedure.

Participants

In this part of the method section, you should describe the participants in your experiment, including who they were (and any unique features that set them apart from the general population), how many there were, and how they were selected. If you utilized random selection to choose your participants, it should be noted here.

For example: "We randomly selected 100 children from elementary schools near the University of Arizona."

At the very minimum, this part of your method section must convey:

Basic demographic characteristics of your participants (such as sex, age, ethnicity, or religion)
The population from which your participants were drawn
Any restrictions on your pool of participants
How many participants were assigned to each condition and how they were assigned to each group (i.e., randomly assignment , another selection method, etc.)
Why participants took part in your research (i.e., the study was advertised at a college or hospital, they received some type of incentive, etc.)

Information about participants helps other researchers understand how your study was performed, how generalizable the result might be, and allows other researchers to replicate the experiment with other populations to see if they might obtain the same results.

In this part of the method section, you should describe the materials, measures, equipment, or stimuli used in the experiment. This may include:

Testing instruments
Technical equipment
Any psychological assessments that were used
Any special equipment that was used

For example: "Two stories from Sullivan et al.'s (1994) second-order false belief attribution tasks were used to assess children's understanding of second-order beliefs."

For standard equipment such as computers, televisions, and videos, you can simply name the device and not provide further explanation.

Specialized equipment should be given greater detail, especially if it is complex or created for a niche purpose. In some instances, such as if you created a special material or apparatus for your study, you might need to include an illustration of the item in the appendix of your paper.

In this part of your method section, describe the type of design used in the experiment. Specify the variables as well as the levels of these variables. Identify:

The independent variables
Dependent variables
Control variables
Any extraneous variables that might influence your results.

Also, explain whether your experiment uses a within-groups or between-groups design.

For example: "The experiment used a 3x2 between-subjects design. The independent variables were age and understanding of second-order beliefs."

The next part of your method section should detail the procedures used in your experiment. Your procedures should explain:

What the participants did
How data was collected
The order in which steps occurred

For example: "An examiner interviewed children individually at their school in one session that lasted 20 minutes on average. The examiner explained to each child that he or she would be told two short stories and that some questions would be asked after each story. All sessions were videotaped so the data could later be coded."

Keep this subsection concise yet detailed. Explain what you did and how you did it, but do not overwhelm your readers with too much information.

Tips for How to Write a Methods Section

In addition to following the basic structure of an APA method section, there are also certain things you should remember when writing this section of your paper. Consider the following tips when writing this section:

Use the past tense : Always write the method section in the past tense.
Be descriptive : Provide enough detail that another researcher could replicate your experiment, but focus on brevity. Avoid unnecessary detail that is not relevant to the outcome of the experiment.
Use an academic tone : Use formal language and avoid slang or colloquial expressions. Word choice is also important. Refer to the people in your experiment or study as "participants" rather than "subjects."
Use APA format : Keep a style guide on hand as you write your method section. The Publication Manual of the American Psychological Association is the official source for APA style.
Make connections : Read through each section of your paper for agreement with other sections. If you mention procedures in the method section, these elements should be discussed in the results and discussion sections.
Proofread : Check your paper for grammar, spelling, and punctuation errors.. typos, grammar problems, and spelling errors. Although a spell checker is a handy tool, there are some errors only you can catch.

After writing a draft of your method section, be sure to get a second opinion. You can often become too close to your work to see errors or lack of clarity. Take a rough draft of your method section to your university's writing lab for additional assistance.

A Word From Verywell

The method section is one of the most important components of your APA format paper. The goal of your paper should be to clearly detail what you did in your experiment. Provide enough detail that another researcher could replicate your study if they wanted.

Finally, if you are writing your paper for a class or for a specific publication, be sure to keep in mind any specific instructions provided by your instructor or by the journal editor. Your instructor may have certain requirements that you need to follow while writing your method section.

Frequently Asked Questions

While the subsections can vary, the three components that should be included are sections on the participants, the materials, and the procedures.

Describe who the participants were in the study and how they were selected.
Define and describe the materials that were used including any equipment, tests, or assessments
Describe how the data was collected

To write your methods section in APA format, describe your participants, materials, study design, and procedures. Keep this section succinct, and always write in the past tense. The main heading of this section should be labeled "Method" and it should be centered, bolded, and capitalized. Each subheading within this section should be bolded, left-aligned and in title case.

The purpose of the methods section is to describe what you did in your experiment. It should be brief, but include enough detail that someone could replicate your experiment based on this information. Your methods section should detail what you did to answer your research question. Describe how the study was conducted, the study design that was used and why it was chosen, and how you collected the data and analyzed the results.

Erdemir F. How to write a materials and methods section of a scientific article ? Turk J Urol . 2013;39(Suppl 1):10-5. doi:10.5152/tud.2013.047

Kallet RH. How to write the methods section of a research paper . Respir Care . 2004;49(10):1229-32. PMID: 15447808.

American Psychological Association. Publication Manual of the American Psychological Association (7th ed.). Washington DC: The American Psychological Association; 2019.

American Psychological Association. APA Style Journal Article Reporting Standards . Published 2020.

By Kendra Cherry, MSEd Kendra Cherry, MS, is a psychosocial rehabilitation specialist, psychology educator, and author of the "Everything Psychology Book."

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Introduction, Methods and Results

Introduction.

The Introduction should provide readers with the background information needed to understand your study, and the reasons why you conducted your experiments. The Introduction should answer the question: what question/problem was studied?

While writing the background, make sure your citations are:

Well balanced: If experiments have found conflicting results on a question, have you cited studies with both kinds of results?
Current: Every field is different, but you should aim to cite references that are not more than 10 years old if possible. Although be sure to cite the first discovery or mention in the literature even if it older than 10 years.
Relevant: This is the most important requirement. The studies you cite should be strongly related to your research question.

TIP: Do not write a literature review in your Introduction, but do cite reviews where readers can find more information if they want it.

Once you have provided background material and stated the problem or question for your study, tell the reader the purpose of your study. Usually the reason is to fill a gap in the knowledge or to answer a previously unanswered question. For example, if a drug is known to work well in one population, but has never been tested in a different population, the purpose of a study could be to test the efficacy and safety of the drug in the second population.

The final thing to include at the end of your Introduction is a clear and exact statement of your study aims. You might also explain in a sentence or two how you conducted the study.

Materials and Methods

This section provides the reader with all the details of how you conducted your study. You should:

Use subheadings to separate different methodologies
Describe what you did in the past tense
Describe new methods in enough detail that another researcher can reproduce your experiment
Describe established methods briefly, and simply cite a reference where readers can find more detail
State all statistical tests and parameters

TIP: Check the ‘Instructions for Authors’ for your target journal to see how manuscripts should present the Materials and Methods. Also, as another guide, look at previously published papers in the journal or sample reports on the journal website.

In the Results section, simply state what you found, but do not interpret the results or discuss their implications.

As in the Materials and Methods section, use subheadings to separate the results of different experiments.
Results should be presented in a logical order . In general this will be in order of importance, not necessarily the order in which the experiments were performed. Use the past tense to describe your results; however, refer to figures and tables in the present tense.
Do not duplicate data among figures, tables, and text. A common mistake is to re-state much of the data from a table in the text of the manuscript. Instead, use the text to summarize what the reader will find in the table, or mention one or two of the most important data points. It is usually much easier to read data in a table than in the text.
Include the results of statistical analyses in the text, usually by providing p values wherever statistically significant differences are described.

TIP: There is a famous saying in English: “A picture is worth a thousand words.” This means that, sometimes, an image can explain your findings far better than text could. So make good use of figures and tables in your manuscript! However, avoid including redundant figures and tables (e.g. two showing the same thing in a different format), or using figures and tables where it would be better to just include the information in the text (e.g. where there is not enough data for a table or figure).

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How to write an effective introduction for your research paper

Last updated

20 January 2024

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However, the introduction is a vital element of your research paper. It helps the reader decide whether your paper is worth their time. As such, it's worth taking your time to get it right.

In this article, we'll tell you everything you need to know about writing an effective introduction for your research paper.

The importance of an introduction in research papers

The primary purpose of an introduction is to provide an overview of your paper. This lets readers gauge whether they want to continue reading or not. The introduction should provide a meaningful roadmap of your research to help them make this decision. It should let readers know whether the information they're interested in is likely to be found in the pages that follow.

Aside from providing readers with information about the content of your paper, the introduction also sets the tone. It shows readers the style of language they can expect, which can further help them to decide how far to read.

When you take into account both of these roles that an introduction plays, it becomes clear that crafting an engaging introduction is the best way to get your paper read more widely. First impressions count, and the introduction provides that impression to readers.

The optimum length for a research paper introduction

While there's no magic formula to determine exactly how long a research paper introduction should be, there are a few guidelines. Some variables that impact the ideal introduction length include:

Field of study

Complexity of the topic

Specific requirements of the course or publication

A commonly recommended length of a research paper introduction is around 10% of the total paper’s length. So, a ten-page paper has a one-page introduction. If the topic is complex, it may require more background to craft a compelling intro. Humanities papers tend to have longer introductions than those of the hard sciences.

The best way to craft an introduction of the right length is to focus on clarity and conciseness. Tell the reader only what is necessary to set up your research. An introduction edited down with this goal in mind should end up at an acceptable length.

Evaluating successful research paper introductions

A good way to gauge how to create a great introduction is by looking at examples from across your field. The most influential and well-regarded papers should provide some insights into what makes a good introduction.

Dissecting examples: what works and why

We can make some general assumptions by looking at common elements of a good introduction, regardless of the field of research.

A common structure is to start with a broad context, and then narrow that down to specific research questions or hypotheses. This creates a funnel that establishes the scope and relevance.

The most effective introductions are careful about the assumptions they make regarding reader knowledge. By clearly defining key terms and concepts instead of assuming the reader is familiar with them, these introductions set a more solid foundation for understanding.

To pull in the reader and make that all-important good first impression, excellent research paper introductions will often incorporate a compelling narrative or some striking fact that grabs the reader's attention.

Finally, good introductions provide clear citations from past research to back up the claims they're making. In the case of argumentative papers or essays (those that take a stance on a topic or issue), a strong thesis statement compels the reader to continue reading.

Common pitfalls to avoid in research paper introductions

You can also learn what not to do by looking at other research papers. Many authors have made mistakes you can learn from.

We've talked about the need to be clear and concise. Many introductions fail at this; they're verbose, vague, or otherwise fail to convey the research problem or hypothesis efficiently. This often comes in the form of an overemphasis on background information, which obscures the main research focus.

Ensure your introduction provides the proper emphasis and excitement around your research and its significance. Otherwise, fewer people will want to read more about it.

Crafting a compelling introduction for a research paper

Let’s take a look at the steps required to craft an introduction that pulls readers in and compels them to learn more about your research.

Step 1: Capturing interest and setting the scene

To capture the reader's interest immediately, begin your introduction with a compelling question, a surprising fact, a provocative quote, or some other mechanism that will hook readers and pull them further into the paper.

As they continue reading, the introduction should contextualize your research within the current field, showing readers its relevance and importance. Clarify any essential terms that will help them better understand what you're saying. This keeps the fundamentals of your research accessible to all readers from all backgrounds.

Step 2: Building a solid foundation with background information

Including background information in your introduction serves two major purposes:

It helps to clarify the topic for the reader

It establishes the depth of your research

The approach you take when conveying this information depends on the type of paper.

For argumentative papers, you'll want to develop engaging background narratives. These should provide context for the argument you'll be presenting.

For empirical papers, highlighting past research is the key. Often, there will be some questions that weren't answered in those past papers. If your paper is focused on those areas, those papers make ideal candidates for you to discuss and critique in your introduction.

Step 3: Pinpointing the research challenge

To capture the attention of the reader, you need to explain what research challenges you'll be discussing.

For argumentative papers, this involves articulating why the argument you'll be making is important. What is its relevance to current discussions or problems? What is the potential impact of people accepting or rejecting your argument?

For empirical papers, explain how your research is addressing a gap in existing knowledge. What new insights or contributions will your research bring to your field?

Step 4: Clarifying your research aims and objectives

We mentioned earlier that the introduction to a research paper can serve as a roadmap for what's within. We've also frequently discussed the need for clarity. This step addresses both of these.

When writing an argumentative paper, craft a thesis statement with impact. Clearly articulate what your position is and the main points you intend to present. This will map out for the reader exactly what they'll get from reading the rest.

For empirical papers, focus on formulating precise research questions and hypotheses. Directly link them to the gaps or issues you've identified in existing research to show the reader the precise direction your research paper will take.

Step 5: Sketching the blueprint of your study

Continue building a roadmap for your readers by designing a structured outline for the paper. Guide the reader through your research journey, explaining what the different sections will contain and their relationship to one another.

This outline should flow seamlessly as you move from section to section. Creating this outline early can also help guide the creation of the paper itself, resulting in a final product that's better organized. In doing so, you'll craft a paper where each section flows intuitively from the next.

Step 6: Integrating your research question

To avoid letting your research question get lost in background information or clarifications, craft your introduction in such a way that the research question resonates throughout. The research question should clearly address a gap in existing knowledge or offer a new perspective on an existing problem.

Tell users your research question explicitly but also remember to frequently come back to it. When providing context or clarification, point out how it relates to the research question. This keeps your focus where it needs to be and prevents the topic of the paper from becoming under-emphasized.

Step 7: Establishing the scope and limitations

So far, we've talked mostly about what's in the paper and how to convey that information to readers. The opposite is also important. Information that's outside the scope of your paper should be made clear to the reader in the introduction so their expectations for what is to follow are set appropriately.

Similarly, be honest and upfront about the limitations of the study. Any constraints in methodology, data, or how far your findings can be generalized should be fully communicated in the introduction.

Step 8: Concluding the introduction with a promise

The final few lines of the introduction are your last chance to convince people to continue reading the rest of the paper. Here is where you should make it very clear what benefit they'll get from doing so. What topics will be covered? What questions will be answered? Make it clear what they will get for continuing.

By providing a quick recap of the key points contained in the introduction in its final lines and properly setting the stage for what follows in the rest of the paper, you refocus the reader's attention on the topic of your research and guide them to read more.

Research paper introduction best practices

Following the steps above will give you a compelling introduction that hits on all the key points an introduction should have. Some more tips and tricks can make an introduction even more polished.

As you follow the steps above, keep the following tips in mind.

Set the right tone and style

Like every piece of writing, a research paper should be written for the audience. That is to say, it should match the tone and style that your academic discipline and target audience expect. This is typically a formal and academic tone, though the degree of formality varies by field.

Kno w the audience

The perfect introduction balances clarity with conciseness. The amount of clarification required for a given topic depends greatly on the target audience. Knowing who will be reading your paper will guide you in determining how much background information is required.

Adopt the CARS (create a research space) model

The CARS model is a helpful tool for structuring introductions. This structure has three parts. The beginning of the introduction establishes the general research area. Next, relevant literature is reviewed and critiqued. The final section outlines the purpose of your study as it relates to the previous parts.

Master the art of funneling

The CARS method is one example of a well-funneled introduction. These start broadly and then slowly narrow down to your specific research problem. It provides a nice narrative flow that provides the right information at the right time. If you stray from the CARS model, try to retain this same type of funneling.

Incorporate narrative element

People read research papers largely to be informed. But to inform the reader, you have to hold their attention. A narrative style, particularly in the introduction, is a great way to do that. This can be a compelling story, an intriguing question, or a description of a real-world problem.

Write the introduction last

By writing the introduction after the rest of the paper, you'll have a better idea of what your research entails and how the paper is structured. This prevents the common problem of writing something in the introduction and then forgetting to include it in the paper. It also means anything particularly exciting in the paper isn’t neglected in the intro.

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How to write an introduction section of a scientific article?

An article primarily includes the following sections: introduction, materials and methods, results, discussion, and conclusion. Before writing the introduction, the main steps, the heading and the familiarity level of the readers should be considered. Writing should begin when the experimental system and the equipment are available. The introduction section comprises the first portion of the manuscript, and it should be written using the simple present tense. Additionally, abbreviations and explanations are included in this section. The main goal of the introduction is to convey basic information to the readers without obligating them to investigate previous publications and to provide clues as to the results of the present study. To do this, the subject of the article should be thoroughly reviewed, and the aim of the study should be clearly stated immediately after discussing the basic references. In this review, we aim to convey the principles of writing the introduction section of a manuscript to residents and young investigators who have just begun to write a manuscript.

Introduction

When entering a gate of a magnificent city we can make a prediction about the splendor, pomposity, history, and civilization we will encounter in the city. Occasionally, gates do not give even a glimpse of the city, and it can mislead the visitors about inner sections of the city. Introduction sections of the articles are like gates of a city. It is a presentation aiming at introducing itself to the readers, and attracting their attention. Attractiveness, clarity, piquancy, and analytical capacity of the presentation will urge the reader to read the subsequent sections of the article. On the other hand as is understood from the motto of antique Greek poet Euripides “a bad beginning makes a bad ending”, ‘Introduction’ section of a scientific article is important in that it can reveal the conclusion of the article. [ 1 ]

It is useful to analyze the issues to be considered in the ‘Introduction’ section under 3 headings. Firstly, information should be provided about the general topic of the article in the light of the current literature which paves the way for the disclosure of the objective of the manuscript. Then the specific subject matter, and the issue to be focused on should be dealt with, the problem should be brought forth, and fundamental references related to the topic should be discussed. Finally, our recommendations for solution should be described, in other words our aim should be communicated. When these steps are followed in that order, the reader can track the problem, and its solution from his/her own perspective under the light of current literature. Otherwise, even a perfect study presented in a non-systematized, confused design will lose the chance of reading. Indeed inadequate information, inability to clarify the problem, and sometimes concealing the solution will keep the reader who has a desire to attain new information away from reading the manuscript. [ 1 – 3 ]

First of all, explanation of the topic in the light of the current literature should be made in clear, and precise terms as if the reader is completely ignorant of the subject. In this section, establishment of a warm rapport between the reader, and the manuscript is aimed. Since frantic plunging into the problem or the solution will push the reader into the dilemma of either screening the literature about the subject matter or refraining from reading the article. Updated, and robust information should be presented in the ‘Introduction’ section.

Then main topic of our manuscript, and the encountered problem should be analyzed in the light of the current literature following a short instance of brain exercise. At this point the problems should be reduced to one issue as far as possible. Of course, there might be more than one problem, however this new issue, and its solution should be the subject matter of another article. Problems should be expressed clearly. If targets are more numerous, and complex, solutions will be more than one, and confusing.

Finally, the last paragraphs of the ‘Introduction’ section should include the solution in which we will describe the information we generated, and related data. Our sentences which arouse curiosity in the readers should not be left unanswered. The reader who thinks to obtain the most effective information in no time while reading a scientific article should not be smothered with mysterious sentences, and word plays, and the readers should not be left alone to arrive at a conclusion by themselves. If we have contrary expectations, then we might write an article which won’t have any reader. A clearly expressed or recommended solutions to an explicitly revealed problem is also very important for the integrity of the ‘Introduction’ section. [ 1 – 5 ]

We can summarize our arguments with the following example ( Figure 1 ). The introduction section of the exemplary article is written in simple present tense which includes abbreviations, acronyms, and their explanations. Based on our statements above we can divide the introduction section into 3 parts. In the first paragraph, miniaturization, and evolvement of pediatric endourological instruments, and competitions among PNL, ESWL, and URS in the treatment of urinary system stone disease are described, in other words the background is prepared. In the second paragraph, a newly defined system which facilitates intrarenal access in PNL procedure has been described. Besides basic references related to the subject matter have been given, and their outcomes have been indicated. In other words, fundamental references concerning main subject have been discussed. In the last paragraph the aim of the researchers to investigate the outcomes, and safety of the application of this new method in the light of current information has been indicated.

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Object name is TJU-39-Supp-8-g01.jpg

An exemplary introduction section of an article

Apart from the abovementioned information about the introduction section of a scientific article we will summarize a few major issues in brief headings

Important points which one should take heed of:

Abbreviations should be given following their explanations in the ‘Introduction’ section (their explanations in the summary does not count)
Simple present tense should be used.
References should be selected from updated publication with a higher impact factor, and prestigous source books.
Avoid mysterious, and confounding expressions, construct clear sentences aiming at problematic issues, and their solutions.
The sentences should be attractive, tempting, and comjprehensible.
Firstly general, then subject-specific information should be given. Finally our aim should be clearly explained.

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Research Methodology – Types, Examples and writing Guide

Table of Contents

Research Methodology

Definition:

Research Methodology refers to the systematic and scientific approach used to conduct research, investigate problems, and gather data and information for a specific purpose. It involves the techniques and procedures used to identify, collect , analyze , and interpret data to answer research questions or solve research problems . Moreover, They are philosophical and theoretical frameworks that guide the research process.

Structure of Research Methodology

Research methodology formats can vary depending on the specific requirements of the research project, but the following is a basic example of a structure for a research methodology section:

I. Introduction

Provide an overview of the research problem and the need for a research methodology section
Outline the main research questions and objectives

II. Research Design

Explain the research design chosen and why it is appropriate for the research question(s) and objectives
Discuss any alternative research designs considered and why they were not chosen
Describe the research setting and participants (if applicable)

III. Data Collection Methods

Describe the methods used to collect data (e.g., surveys, interviews, observations)
Explain how the data collection methods were chosen and why they are appropriate for the research question(s) and objectives
Detail any procedures or instruments used for data collection

IV. Data Analysis Methods

Describe the methods used to analyze the data (e.g., statistical analysis, content analysis )
Explain how the data analysis methods were chosen and why they are appropriate for the research question(s) and objectives
Detail any procedures or software used for data analysis

V. Ethical Considerations

Discuss any ethical issues that may arise from the research and how they were addressed
Explain how informed consent was obtained (if applicable)
Detail any measures taken to ensure confidentiality and anonymity

VI. Limitations

Identify any potential limitations of the research methodology and how they may impact the results and conclusions

VII. Conclusion

Summarize the key aspects of the research methodology section
Explain how the research methodology addresses the research question(s) and objectives

Research Methodology Types

Types of Research Methodology are as follows:

Quantitative Research Methodology

This is a research methodology that involves the collection and analysis of numerical data using statistical methods. This type of research is often used to study cause-and-effect relationships and to make predictions.

Qualitative Research Methodology

This is a research methodology that involves the collection and analysis of non-numerical data such as words, images, and observations. This type of research is often used to explore complex phenomena, to gain an in-depth understanding of a particular topic, and to generate hypotheses.

Mixed-Methods Research Methodology

This is a research methodology that combines elements of both quantitative and qualitative research. This approach can be particularly useful for studies that aim to explore complex phenomena and to provide a more comprehensive understanding of a particular topic.

Case Study Research Methodology

This is a research methodology that involves in-depth examination of a single case or a small number of cases. Case studies are often used in psychology, sociology, and anthropology to gain a detailed understanding of a particular individual or group.

Action Research Methodology

This is a research methodology that involves a collaborative process between researchers and practitioners to identify and solve real-world problems. Action research is often used in education, healthcare, and social work.

Experimental Research Methodology

This is a research methodology that involves the manipulation of one or more independent variables to observe their effects on a dependent variable. Experimental research is often used to study cause-and-effect relationships and to make predictions.

Survey Research Methodology

This is a research methodology that involves the collection of data from a sample of individuals using questionnaires or interviews. Survey research is often used to study attitudes, opinions, and behaviors.

Grounded Theory Research Methodology

This is a research methodology that involves the development of theories based on the data collected during the research process. Grounded theory is often used in sociology and anthropology to generate theories about social phenomena.

Research Methodology Example

An Example of Research Methodology could be the following:

Research Methodology for Investigating the Effectiveness of Cognitive Behavioral Therapy in Reducing Symptoms of Depression in Adults

Introduction:

The aim of this research is to investigate the effectiveness of cognitive-behavioral therapy (CBT) in reducing symptoms of depression in adults. To achieve this objective, a randomized controlled trial (RCT) will be conducted using a mixed-methods approach.

Research Design:

The study will follow a pre-test and post-test design with two groups: an experimental group receiving CBT and a control group receiving no intervention. The study will also include a qualitative component, in which semi-structured interviews will be conducted with a subset of participants to explore their experiences of receiving CBT.

Participants:

Participants will be recruited from community mental health clinics in the local area. The sample will consist of 100 adults aged 18-65 years old who meet the diagnostic criteria for major depressive disorder. Participants will be randomly assigned to either the experimental group or the control group.

Intervention :

The experimental group will receive 12 weekly sessions of CBT, each lasting 60 minutes. The intervention will be delivered by licensed mental health professionals who have been trained in CBT. The control group will receive no intervention during the study period.

Data Collection:

Quantitative data will be collected through the use of standardized measures such as the Beck Depression Inventory-II (BDI-II) and the Generalized Anxiety Disorder-7 (GAD-7). Data will be collected at baseline, immediately after the intervention, and at a 3-month follow-up. Qualitative data will be collected through semi-structured interviews with a subset of participants from the experimental group. The interviews will be conducted at the end of the intervention period, and will explore participants’ experiences of receiving CBT.

Data Analysis:

Quantitative data will be analyzed using descriptive statistics, t-tests, and mixed-model analyses of variance (ANOVA) to assess the effectiveness of the intervention. Qualitative data will be analyzed using thematic analysis to identify common themes and patterns in participants’ experiences of receiving CBT.

Ethical Considerations:

This study will comply with ethical guidelines for research involving human subjects. Participants will provide informed consent before participating in the study, and their privacy and confidentiality will be protected throughout the study. Any adverse events or reactions will be reported and managed appropriately.

Data Management:

All data collected will be kept confidential and stored securely using password-protected databases. Identifying information will be removed from qualitative data transcripts to ensure participants’ anonymity.

Limitations:

One potential limitation of this study is that it only focuses on one type of psychotherapy, CBT, and may not generalize to other types of therapy or interventions. Another limitation is that the study will only include participants from community mental health clinics, which may not be representative of the general population.

Conclusion:

This research aims to investigate the effectiveness of CBT in reducing symptoms of depression in adults. By using a randomized controlled trial and a mixed-methods approach, the study will provide valuable insights into the mechanisms underlying the relationship between CBT and depression. The results of this study will have important implications for the development of effective treatments for depression in clinical settings.

How to Write Research Methodology

Writing a research methodology involves explaining the methods and techniques you used to conduct research, collect data, and analyze results. It’s an essential section of any research paper or thesis, as it helps readers understand the validity and reliability of your findings. Here are the steps to write a research methodology:

Start by explaining your research question: Begin the methodology section by restating your research question and explaining why it’s important. This helps readers understand the purpose of your research and the rationale behind your methods.
Describe your research design: Explain the overall approach you used to conduct research. This could be a qualitative or quantitative research design, experimental or non-experimental, case study or survey, etc. Discuss the advantages and limitations of the chosen design.
Discuss your sample: Describe the participants or subjects you included in your study. Include details such as their demographics, sampling method, sample size, and any exclusion criteria used.
Describe your data collection methods : Explain how you collected data from your participants. This could include surveys, interviews, observations, questionnaires, or experiments. Include details on how you obtained informed consent, how you administered the tools, and how you minimized the risk of bias.
Explain your data analysis techniques: Describe the methods you used to analyze the data you collected. This could include statistical analysis, content analysis, thematic analysis, or discourse analysis. Explain how you dealt with missing data, outliers, and any other issues that arose during the analysis.
Discuss the validity and reliability of your research : Explain how you ensured the validity and reliability of your study. This could include measures such as triangulation, member checking, peer review, or inter-coder reliability.
Acknowledge any limitations of your research: Discuss any limitations of your study, including any potential threats to validity or generalizability. This helps readers understand the scope of your findings and how they might apply to other contexts.
Provide a summary: End the methodology section by summarizing the methods and techniques you used to conduct your research. This provides a clear overview of your research methodology and helps readers understand the process you followed to arrive at your findings.

When to Write Research Methodology

Research methodology is typically written after the research proposal has been approved and before the actual research is conducted. It should be written prior to data collection and analysis, as it provides a clear roadmap for the research project.

The research methodology is an important section of any research paper or thesis, as it describes the methods and procedures that will be used to conduct the research. It should include details about the research design, data collection methods, data analysis techniques, and any ethical considerations.

The methodology should be written in a clear and concise manner, and it should be based on established research practices and standards. It is important to provide enough detail so that the reader can understand how the research was conducted and evaluate the validity of the results.

Applications of Research Methodology

Here are some of the applications of research methodology:

To identify the research problem: Research methodology is used to identify the research problem, which is the first step in conducting any research.
To design the research: Research methodology helps in designing the research by selecting the appropriate research method, research design, and sampling technique.
To collect data: Research methodology provides a systematic approach to collect data from primary and secondary sources.
To analyze data: Research methodology helps in analyzing the collected data using various statistical and non-statistical techniques.
To test hypotheses: Research methodology provides a framework for testing hypotheses and drawing conclusions based on the analysis of data.
To generalize findings: Research methodology helps in generalizing the findings of the research to the target population.
To develop theories : Research methodology is used to develop new theories and modify existing theories based on the findings of the research.
To evaluate programs and policies : Research methodology is used to evaluate the effectiveness of programs and policies by collecting data and analyzing it.
To improve decision-making: Research methodology helps in making informed decisions by providing reliable and valid data.

Purpose of Research Methodology

Research methodology serves several important purposes, including:

To guide the research process: Research methodology provides a systematic framework for conducting research. It helps researchers to plan their research, define their research questions, and select appropriate methods and techniques for collecting and analyzing data.
To ensure research quality: Research methodology helps researchers to ensure that their research is rigorous, reliable, and valid. It provides guidelines for minimizing bias and error in data collection and analysis, and for ensuring that research findings are accurate and trustworthy.
To replicate research: Research methodology provides a clear and detailed account of the research process, making it possible for other researchers to replicate the study and verify its findings.
To advance knowledge: Research methodology enables researchers to generate new knowledge and to contribute to the body of knowledge in their field. It provides a means for testing hypotheses, exploring new ideas, and discovering new insights.
To inform decision-making: Research methodology provides evidence-based information that can inform policy and decision-making in a variety of fields, including medicine, public health, education, and business.

Advantages of Research Methodology

Research methodology has several advantages that make it a valuable tool for conducting research in various fields. Here are some of the key advantages of research methodology:

Systematic and structured approach : Research methodology provides a systematic and structured approach to conducting research, which ensures that the research is conducted in a rigorous and comprehensive manner.
Objectivity : Research methodology aims to ensure objectivity in the research process, which means that the research findings are based on evidence and not influenced by personal bias or subjective opinions.
Replicability : Research methodology ensures that research can be replicated by other researchers, which is essential for validating research findings and ensuring their accuracy.
Reliability : Research methodology aims to ensure that the research findings are reliable, which means that they are consistent and can be depended upon.
Validity : Research methodology ensures that the research findings are valid, which means that they accurately reflect the research question or hypothesis being tested.
Efficiency : Research methodology provides a structured and efficient way of conducting research, which helps to save time and resources.
Flexibility : Research methodology allows researchers to choose the most appropriate research methods and techniques based on the research question, data availability, and other relevant factors.
Scope for innovation: Research methodology provides scope for innovation and creativity in designing research studies and developing new research techniques.

Research Methodology Vs Research Methods

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Muhammad Hassan

Researcher, Academic Writer, Web developer

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Research Design – Types, Methods and Examples

How to write the methods section of a research paper

Affiliation.

1 Respiratory Care Services, San Francisco General Hospital, NH:GA-2, 1001 Potrero Avenue, San Francisco, CA 94110, USA. [email protected]
PMID: 15447808

The methods section of a research paper provides the information by which a study's validity is judged. Therefore, it requires a clear and precise description of how an experiment was done, and the rationale for why specific experimental procedures were chosen. The methods section should describe what was done to answer the research question, describe how it was done, justify the experimental design, and explain how the results were analyzed. Scientific writing is direct and orderly. Therefore, the methods section structure should: describe the materials used in the study, explain how the materials were prepared for the study, describe the research protocol, explain how measurements were made and what calculations were performed, and state which statistical tests were done to analyze the data. Once all elements of the methods section are written, subsequent drafts should focus on how to present those elements as clearly and logically as possibly. The description of preparations, measurements, and the protocol should be organized chronologically. For clarity, when a large amount of detail must be presented, information should be presented in sub-sections according to topic. Material in each section should be organized by topic from most to least important.

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Writing a scientific paper.

Writing a lab report

What is a "good" introduction?

Citing sources in the introduction, "introduction checklist" from: how to write a good scientific paper. chris a. mack. spie. 2018..

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This is where you describe briefly and clearly why you are writing the paper. The introduction supplies sufficient background information for the reader to understand and evaluate the experiment you did. It also supplies a rationale for the study.

Present the problem and the proposed solution
Presents nature and scope of the problem investigated
Reviews the pertinent literature to orient the reader
States the method of the experiment
State the principle results of the experiment

It is important to cite sources in the introduction section of your paper as evidence of the claims you are making. There are ways of citing sources in the text so that the reader can find the full reference in the literature cited section at the end of the paper, yet the flow of the reading is not badly interrupted. Below are some example of how this can be done: "Smith (1983) found that N-fixing plants could be infected by several different species of Rhizobium." "Walnut trees are known to be allelopathic (Smith 1949, Bond et al. 1955, Jones and Green 1963)." "Although the presence of Rhizobium normally increases the growth of legumes (Nguyen 1987), the opposite effect has been observed (Washington 1999)." Note that articles by one or two authors are always cited in the text using their last names. However, if there are more than two authors, the last name of the 1st author is given followed by the abbreviation et al. which is Latin for "and others".

From: https://writingcenter.gmu.edu/guides/imrad-reports-introductions

Indicate the field of the work, why this field is important, and what has already been done (with proper citations).
Indicate a gap, raise a research question, or challenge prior work in this territory.
Outline the purpose and announce the present research, clearly indicating what is novel and why it is significant.
Avoid: repeating the abstract; providing unnecessary background information; exaggerating the importance of the work; claiming novelty without a proper literature search.
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Critical thinking refers to deliberately scrutinizing and evaluating theories, concepts, or ideas using reasoned reflection and analysis. The act of thinking critically implies moving beyond simply understanding information, but questioning its source, its production, and its presentation in order to expose potential bias or researcher subjectivity [i.e., being influenced by personal opinions and feelings rather than by external determinants ] . Applying critical thinking to investigating a research problem involves actively challenging assumptions and questioning the choices and potential motives underpinning how the author designed the study, conducted the research, and arrived at particular conclusions or recommended courses of action.

Mintz, Steven. "How the Word "Critical" Came to Signify the Leading Edge of Cultural Analysis." Higher Ed Gamma Blog , Inside Higher Ed, February 13, 2024; Van Merriënboer, Jeroen JG and Paul A. Kirschner. Ten Steps to Complex Learning: A Systematic Approach to Four-component Instructional Design . New York: Routledge, 2017.

Thinking Critically

Applying Critical Thinking to Research and Writing

Professors like to use the term critical thinking; in fact, the idea of being critical permeates much of higher education writ large. In the classroom, the idea of thinking critically is often mentioned by professors when students ask how they should approach a research and writing assignment [other approaches your professor might mention include interdisciplinarity, comparative, gendered, global, etc.]. However, critical thinking is more than just an approach to research and writing. It is an acquired skill used in becoming a complex learner capable of discerning important relationships among the elements of, as well as integrating multiple ways of understanding applied to, the research problem. Critical thinking is a lens through which you holistically interrogate a topic.

Given this, thinking critically encompasses a variety of inter-related connotations applied to college-level research and writing * :

Integrated and Multi-Dimensional . Critical thinking is not focused on any one element of research, but rather, is applied holistically throughout the process of identifying the research problem, reviewing of literature, applying methods of analysis, describing the results, discussing their implications, and, if appropriate, offering recommendations for further research. The act of thinking critically is also non-linear [i.e., applies to going back and changing prior thoughts when new evidence emerges]; it permeates the entire research endeavor from contemplating what to write to proofreading the final product.
Humanize Research . Thinking critically can help humanize the research problem by extending the scope of your analysis beyond the boundaries of traditional approaches to studying the topic. Traditional approaches can include, for example, sampling homogeneous populations, considering only certain factors related to investigating a phenomenon, or limiting the way you frame or represent the context of your study. Critical thinking can help reveal opportunities to incorporate the experiences of others into the research, creating a more representative examination of the research problem.
Normative . This refers to the idea that critical thinking can be used to challenge prior assumptions in ways that advocate for social justice, equity, and inclusion and which can lead to research having a more transformative and expansive impact. In this respect, critical thinking can be a method for breaking away from dominant culture norms so as to produce research outcomes that illuminate previously hidden aspects of exploitation and injustice.
Power Dynamics . Research in the social and behavioral sciences often includes examining aspects of power and influence that shape social relations, organizations, institutions, and the production and maintenance of knowledge. This approach encompasses studying how power operates, how it can be acquired, and how power and influence can be maintained. Critical thinking can reveal how societal structures perpetuate power and influence in ways that marginalizes and oppresses certain groups or communities within the contexts of history , politics, economics, culture, and other factors.
Reflection . A key aspect of critical thinking is practicing reflexivity; the act of turning ideas and concepts back onto yourself in order to reveal and clarify your own beliefs, assumptions, and perspectives. Being critically reflexive is important because it can reveal hidden biases you may have that could unintentionally influence how you interpret and validate information. The more reflexive you are, the better able and more comfortable you are about opening yourself up to new modes of understanding.
Rigorous Questioning . Thinking critically is guided by asking questions that lead to addressing complex concepts, principles, theories, or problems more effectively and to help distinguish what is known from from what is not known [or that may be hidden]. In this way, critical thinking involves deliberately framing inquiries not just as research questions, but as a way to focus on systematic, disciplined, in-depth questioning concerning the research problem and your positionality as a researcher.
Social Change . An overarching goal of critical thinking applied to research and writing is to seek to identify and challenge sources of inequality, exploitation, oppression, and marinalization that contributes to maintaining the status quo within institutions of society. This can include entities, such as, schools, courts, businesses, government agencies, religious centers, that have been created and maintained through certain ways of thinking within the dominant culture.

In writing a research paper, the act of critical thinking applies most directly to the literature review and discussion sections of your paper . In reviewing the literature, it is important to reflect upon specific aspects of a study, such as, determining if the research design effectively establishes cause and effect relationships or provides insight into explaining why certain phenomena do or do not occur, assessing whether the method of gathering data or information supports the objectives of the study, and evaluating if the assumptions used t o arrive at a specific conclusion are evidence-based and relevant to addressing the research problem. An assessment of whether a source is helpful to investigating the research problem also involves critically analyzing how the research challenges conventional approaches to investigations that perpetuate inequalities or hides the voices of others.

Critical thinking also applies to the discussion section of your paper because this is where you interpret the findings of your study and explain its significance. This involves more than summarizing findings and describing outcomes. It includes reflecting on their importance and providing reasoned explanations why the research study is important in filling a gap in the literature or expanding knowledge and understanding about the topic in ways that inform practice. Critical reflection helps you think introspectively about your own beliefs concerning the significance of the findings but in ways that avoid biased judgment and decision making.

* Mintz, Steven. "How the Word "Critical" Came to Signify the Leading Edge of Cultural Analysis." Higher Ed Gamma Blog , Inside Higher Ed, February 13, 2024; Suter, W. Newton. Introduction to Educational Research: A Critical Thinking Approach. 2nd edition. Thousand Oaks, CA: SAGE Publications, 2012

Behar-Horenstein, Linda S., and Lian Niu. “Teaching Critical Thinking Skills in Higher Education: A Review of the Literature.” Journal of College Teaching and Learning 8 (February 2011): 25-41; Bayou, Yemeserach and Tamene Kitila. "Exploring Instructors’ Beliefs about and Practices in Promoting Students’ Critical Thinking Skills in Writing Classes." GIST–Education and Learning Research Journal 26 (2023): 123-154; Butcher, Charity. "Using In-class Writing to Promote Critical Thinking and Application of Course Concepts." Journal of Political Science Education 18 (2022): 3-21; Loseke, Donileen R. Methodological Thinking: Basic Principles of Social Research Design. Thousand Oaks, CA: Sage, 2012; Hart, Claire et al. “Exploring Higher Education Students’ Critical Thinking Skills through Content Analysis.” Thinking Skills and Creativity 41 (September 2021): 100877; Sabrina, R., Emilda Sulasmi, and Mandra Saragih. "Student Critical Thinking Skills and Student Writing Ability: The Role of Teachers' Intellectual Skills and Student Learning." Cypriot Journal of Educational Sciences 17 (2022): 2493-2510.Van Merriënboer, Jeroen JG and Paul A. Kirschner. Ten Steps to Complex Learning: A Systematic Approach to Four-component Instructional Design. New York: Routledge, 2017; Yeh, Hui-Chin, Shih-hsien Yang, Jo Shan Fu, and Yen-Chen Shih. "Developing College Students’ Critical Thinking through Reflective Writing." Higher Education Research & Development 42 (2023): 244-259.

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Training videos | Faqs

Examples of Good and Bad Research Questions

A research question defines the primary objective of your work and is one of the most important components of your paper . In this blog, we will look at some examples of good and bad research questions.

1. Research Question Example #1

You have to design your research question in such a way that it is focused and is not too broad. Let’s look at the example here. We are saying that we are going to study the impact of social media on young people. The research question is too broad. As you can see there is no clear direction, and the study attempts to take on too much.

Bad example – Too broad and unfocussed The research aims to find out the impact of social media on young people.

Now, look at the example below. It is much more focused. We are very specific about our research questions . We are saying that we are attempting to measure the average time spent by teenagers on social media. And, we are also trying to understand the exact nature of their interactions on social media. We will be using an online questionnaire to answer the questions and we will be choosing participants from England and Scotland. This is a good research question, because it clearly defines what you have set out to do and how you plan to achieve it.

Good example – Focussed and a very clear definition The research aims to estimate the average time spent by 18-24 year-olds on social media, and investigate the nature of interactions and conversions they have on social media. We attempt to answer these questions by conducting an online questionnaire survey in England and Scotland. _ Research aims _ Plan of action

2. Research Question Example #2

Another thing to remember is that your research question should not be too simple. Your research question should be reasonably complex and there should be scope for you to conduct research. And most importantly, it should be reasonably original and should not have been answered before.

Look at the example here. “Does Co2 causes global warming?”. We all know that Co2 causes global warming. If you can answer your question with a simple yes or no, then it is too simple.

Bad example – Too simple Does Co2 causes global warming?

Now, look at this research question below. The research question is reasonably complex. You need to perform quantitative and qualitative experiments to answer this question. It is realistic, and it is possible to complete your measurements and calculations in a reasonable time scale. It ticks all the boxes and that is the reason why this is a good research question.

Good example – Realistic and challenging question What percentage of the CO2 in the atmosphere has been produced by human beings through the burning of fossil fuels?

3. Research Question Example #3

Your research question should align with your research gap and the problem statement. In the example below, the author is talking about the practical challenges of using biomass as a renewable source of electricity, because you need to cut down a lot of trees for this. So when readers are expecting a research question along the lines of finding better and more efficient ways to produce biomass, the author mentions that the objective of his work is to investigate the competency requirements of managers working in the Biomass industry. This has nothing to do with the problem statement and research gap the author had identified.

Bad example – Research question doesn’t align with the problem definition Successfully utilizing biomass as a source of energy poses challenges because of various reasons, such as deforestation. This study aims to investigate the competency requirements of managers working in the biomass industry. _ Problem definition _ Misaligned Research question

In the example below, the authors say that their work aims to propose a new method for generating electricity from biomass. This nicely aligns with the problem definition of finding new ways to use biomass for energy production.

Good example – Research question nicely aligns with the problem definition Successfully utilizing biomass as a source of energy poses challenges because of various reasons, such as deforestation. In this paper, we propose a comprehensive method for the generation of electricity using biomass which builds and expands on direct combustion approaches. _ Problem definition _ Well-aligned Research question

I hope you found the blog useful. A strong research question lies at the heart of any research work, so please make use of the tips outlined in this blog. If you have any questions, please drop a comment below, and we will answer the as soon as possible. For further reading, please refer to our blog on how to formulate a research question? We also recommend you to refer to our other blogs on academic writing tools , academic writing resources , and academic phrase-bank , which are relevant to the topic discussed in this blog.

Useful Phrases and Sentences for Academic & Research Paper Writing

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Conclusion Section Examples and Writing Tips

In this blog, we will go through many conclusion examples and learn how to present a powerful final take-home message to your readers.

Abstract Section Examples and Writing Tips

In this blog, we will go through many abstract examples and understand how to construct a good abstract for your research paper.

Literature Review Examples and Writing Tips

In this blog, we will go through many literature review examples and understand different ways to present past literature in your paper.

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Research paper

How to Write a Research Paper | A Beginner's Guide

A research paper is a piece of academic writing that provides analysis, interpretation, and argument based on in-depth independent research.

Research papers are similar to academic essays , but they are usually longer and more detailed assignments, designed to assess not only your writing skills but also your skills in scholarly research. Writing a research paper requires you to demonstrate a strong knowledge of your topic, engage with a variety of sources, and make an original contribution to the debate.

This step-by-step guide takes you through the entire writing process, from understanding your assignment to proofreading your final draft.

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Understand the assignment, choose a research paper topic, conduct preliminary research, develop a thesis statement, create a research paper outline, write a first draft of the research paper, write the introduction, write a compelling body of text, write the conclusion, the second draft, the revision process, research paper checklist, free lecture slides.

Completing a research paper successfully means accomplishing the specific tasks set out for you. Before you start, make sure you thoroughly understanding the assignment task sheet:

Read it carefully, looking for anything confusing you might need to clarify with your professor.
Identify the assignment goal, deadline, length specifications, formatting, and submission method.
Make a bulleted list of the key points, then go back and cross completed items off as you’re writing.

Carefully consider your timeframe and word limit: be realistic, and plan enough time to research, write, and edit.

Prevent plagiarism. Run a free check.

There are many ways to generate an idea for a research paper, from brainstorming with pen and paper to talking it through with a fellow student or professor.

You can try free writing, which involves taking a broad topic and writing continuously for two or three minutes to identify absolutely anything relevant that could be interesting.

You can also gain inspiration from other research. The discussion or recommendations sections of research papers often include ideas for other specific topics that require further examination.

Once you have a broad subject area, narrow it down to choose a topic that interests you, m eets the criteria of your assignment, and i s possible to research. Aim for ideas that are both original and specific:

A paper following the chronology of World War II would not be original or specific enough.
A paper on the experience of Danish citizens living close to the German border during World War II would be specific and could be original enough.

Note any discussions that seem important to the topic, and try to find an issue that you can focus your paper around. Use a variety of sources , including journals, books, and reliable websites, to ensure you do not miss anything glaring.

Do not only verify the ideas you have in mind, but look for sources that contradict your point of view.

Is there anything people seem to overlook in the sources you research?
Are there any heated debates you can address?
Do you have a unique take on your topic?
Have there been some recent developments that build on the extant research?

In this stage, you might find it helpful to formulate some research questions to help guide you. To write research questions, try to finish the following sentence: “I want to know how/what/why…”

A thesis statement is a statement of your central argument — it establishes the purpose and position of your paper. If you started with a research question, the thesis statement should answer it. It should also show what evidence and reasoning you’ll use to support that answer.

The thesis statement should be concise, contentious, and coherent. That means it should briefly summarize your argument in a sentence or two, make a claim that requires further evidence or analysis, and make a coherent point that relates to every part of the paper.

You will probably revise and refine the thesis statement as you do more research, but it can serve as a guide throughout the writing process. Every paragraph should aim to support and develop this central claim.

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A research paper outline is essentially a list of the key topics, arguments, and evidence you want to include, divided into sections with headings so that you know roughly what the paper will look like before you start writing.

A structure outline can help make the writing process much more efficient, so it’s worth dedicating some time to create one.

Your first draft won’t be perfect — you can polish later on. Your priorities at this stage are as follows:

Maintaining forward momentum — write now, perfect later.
Paying attention to clear organization and logical ordering of paragraphs and sentences, which will help when you come to the second draft.
Expressing your ideas as clearly as possible, so you know what you were trying to say when you come back to the text.

You do not need to start by writing the introduction. Begin where it feels most natural for you — some prefer to finish the most difficult sections first, while others choose to start with the easiest part. If you created an outline, use it as a map while you work.

Do not delete large sections of text. If you begin to dislike something you have written or find it doesn’t quite fit, move it to a different document, but don’t lose it completely — you never know if it might come in useful later.

Paragraph structure

Paragraphs are the basic building blocks of research papers. Each one should focus on a single claim or idea that helps to establish the overall argument or purpose of the paper.

Example paragraph

George Orwell’s 1946 essay “Politics and the English Language” has had an enduring impact on thought about the relationship between politics and language. This impact is particularly obvious in light of the various critical review articles that have recently referenced the essay. For example, consider Mark Falcoff’s 2009 article in The National Review Online, “The Perversion of Language; or, Orwell Revisited,” in which he analyzes several common words (“activist,” “civil-rights leader,” “diversity,” and more). Falcoff’s close analysis of the ambiguity built into political language intentionally mirrors Orwell’s own point-by-point analysis of the political language of his day. Even 63 years after its publication, Orwell’s essay is emulated by contemporary thinkers.

Citing sources

It’s also important to keep track of citations at this stage to avoid accidental plagiarism . Each time you use a source, make sure to take note of where the information came from.

You can use our free citation generators to automatically create citations and save your reference list as you go.

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The research paper introduction should address three questions: What, why, and how? After finishing the introduction, the reader should know what the paper is about, why it is worth reading, and how you’ll build your arguments.

What? Be specific about the topic of the paper, introduce the background, and define key terms or concepts.

Why? This is the most important, but also the most difficult, part of the introduction. Try to provide brief answers to the following questions: What new material or insight are you offering? What important issues does your essay help define or answer?

How? To let the reader know what to expect from the rest of the paper, the introduction should include a “map” of what will be discussed, briefly presenting the key elements of the paper in chronological order.

The major struggle faced by most writers is how to organize the information presented in the paper, which is one reason an outline is so useful. However, remember that the outline is only a guide and, when writing, you can be flexible with the order in which the information and arguments are presented.

One way to stay on track is to use your thesis statement and topic sentences . Check:

topic sentences against the thesis statement;
topic sentences against each other, for similarities and logical ordering;
and each sentence against the topic sentence of that paragraph.

Be aware of paragraphs that seem to cover the same things. If two paragraphs discuss something similar, they must approach that topic in different ways. Aim to create smooth transitions between sentences, paragraphs, and sections.

The research paper conclusion is designed to help your reader out of the paper’s argument, giving them a sense of finality.

Trace the course of the paper, emphasizing how it all comes together to prove your thesis statement. Give the paper a sense of finality by making sure the reader understands how you’ve settled the issues raised in the introduction.

You might also discuss the more general consequences of the argument, outline what the paper offers to future students of the topic, and suggest any questions the paper’s argument raises but cannot or does not try to answer.

You should not :

Offer new arguments or essential information
Take up any more space than necessary
Begin with stock phrases that signal you are ending the paper (e.g. “In conclusion”)

There are four main considerations when it comes to the second draft.

Check how your vision of the paper lines up with the first draft and, more importantly, that your paper still answers the assignment.
Identify any assumptions that might require (more substantial) justification, keeping your reader’s perspective foremost in mind. Remove these points if you cannot substantiate them further.
Be open to rearranging your ideas. Check whether any sections feel out of place and whether your ideas could be better organized.
If you find that old ideas do not fit as well as you anticipated, you should cut them out or condense them. You might also find that new and well-suited ideas occurred to you during the writing of the first draft — now is the time to make them part of the paper.

The goal during the revision and proofreading process is to ensure you have completed all the necessary tasks and that the paper is as well-articulated as possible. You can speed up the proofreading process by using the AI proofreader .

Global concerns

Confirm that your paper completes every task specified in your assignment sheet.
Check for logical organization and flow of paragraphs.
Check paragraphs against the introduction and thesis statement.

Fine-grained details

Check the content of each paragraph, making sure that:

each sentence helps support the topic sentence.
no unnecessary or irrelevant information is present.
all technical terms your audience might not know are identified.

Next, think about sentence structure , grammatical errors, and formatting . Check that you have correctly used transition words and phrases to show the connections between your ideas. Look for typos, cut unnecessary words, and check for consistency in aspects such as heading formatting and spellings .

Finally, you need to make sure your paper is correctly formatted according to the rules of the citation style you are using. For example, you might need to include an MLA heading or create an APA title page .

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Checklist: Research paper

I have followed all instructions in the assignment sheet.

My introduction presents my topic in an engaging way and provides necessary background information.

My introduction presents a clear, focused research problem and/or thesis statement .

My paper is logically organized using paragraphs and (if relevant) section headings .

Each paragraph is clearly focused on one central idea, expressed in a clear topic sentence .

Each paragraph is relevant to my research problem or thesis statement.

I have used appropriate transitions to clarify the connections between sections, paragraphs, and sentences.

My conclusion provides a concise answer to the research question or emphasizes how the thesis has been supported.

My conclusion shows how my research has contributed to knowledge or understanding of my topic.

My conclusion does not present any new points or information essential to my argument.

I have provided an in-text citation every time I refer to ideas or information from a source.

I have included a reference list at the end of my paper, consistently formatted according to a specific citation style .

I have thoroughly revised my paper and addressed any feedback from my professor or supervisor.

I have followed all formatting guidelines (page numbers, headers, spacing, etc.).

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This paper is in the following e-collection/theme issue:

Published on 11.4.2024 in Vol 26 (2024)

Evaluating the Digital Health Experience for Patients in Primary Care: Mixed Methods Study

Authors of this article:

Original Paper

Melinda Ada Choy 1, 2 , BMed, MMed, DCH, MD ;
Kathleen O'Brien 1 , BSc, GDipStats, MBBS, DCH ;
Katelyn Barnes 1, 2 , BAPSC, MND, PhD ;
Elizabeth Ann Sturgiss 3 , BMed, MPH, MForensMed, PhD ;
Elizabeth Rieger 1 , BA, MClinPsych, PhD ;
Kirsty Douglas 1, 2 , MBBS, DipRACOG, Grad Cert HE, MD

1 School of Medicine and Psychology, College of Health and Medicine, The Australian National University, Canberra, Australia

2 Academic Unit of General Practice, Office of Professional Leadership and Education, ACT Health Directorate, Canberra, Australia

3 School of Primary and Allied Health Care, Monash University, Melbourne, Australia

Corresponding Author:

Melinda Ada Choy, BMed, MMed, DCH, MD

School of Medicine and Psychology

College of Health and Medicine

The Australian National University

Phone: 61 51244947

Email: [email protected]

Background: The digital health divide for socioeconomic disadvantage describes a pattern in which patients considered socioeconomically disadvantaged, who are already marginalized through reduced access to face-to-face health care, are additionally hindered through less access to patient-initiated digital health. A comprehensive understanding of how patients with socioeconomic disadvantage access and experience digital health is essential for improving the digital health divide. Primary care patients, especially those with chronic disease, have experience of the stages of initial help seeking and self-management of their health, which renders them a key demographic for research on patient-initiated digital health access.

Objective: This study aims to provide comprehensive primary mixed methods data on the patient experience of barriers to digital health access, with a focus on the digital health divide.

Methods: We applied an exploratory mixed methods design to ensure that our survey was primarily shaped by the experiences of our interviewees. First, we qualitatively explored the experience of digital health for 19 patients with socioeconomic disadvantage and chronic disease and second, we quantitatively measured some of these findings by designing and administering a survey to 487 Australian general practice patients from 24 general practices.

Results: In our qualitative first phase, the key barriers found to accessing digital health included (1) strong patient preference for human-based health services; (2) low trust in digital health services; (3) high financial costs of necessary tools, maintenance, and repairs; (4) poor publicly available internet access options; (5) reduced capacity to engage due to increased life pressures; and (6) low self-efficacy and confidence in using digital health. In our quantitative second phase, 31% (151/487) of the survey participants were found to have never used a form of digital health, while 10.7% (52/487) were low- to medium-frequency users and 48.5% (236/487) were high-frequency users. High-frequency users were more likely to be interested in digital health and had higher self-efficacy. Low-frequency users were more likely to report difficulty affording the financial costs needed for digital access.

Conclusions: While general digital interest, financial cost, and digital health literacy and empowerment are clear factors in digital health access in a broad primary care population, the digital health divide is also facilitated in part by a stepped series of complex and cumulative barriers. Genuinely improving digital health access for 1 cohort or even 1 person requires a series of multiple different interventions tailored to specific sequential barriers. Within primary care, patient-centered care that continues to recognize the complex individual needs of, and barriers facing, each patient should be part of addressing the digital health divide.

Introduction

The promise of ehealth.

The rapid growth of digital health, sped up by the COVID-19 pandemic and associated lockdowns, brings the promise of improved health care efficiency, empowerment of consumers, and health care equity [ 1 ]. Digital health is the use of information and communication technology to improve health [ 2 ]. eHealth, which is a type of digital health, refers to the use of internet-based technology for health care and can be used by systems, providers, and patients [ 2 ]. At the time of this study (before COVID-19), examples of eHealth used by patients in Australia included searching for web-based health information, booking appointments on the web, participating in online peer-support health forums, using mobile phone health apps (mobile health), emailing health care providers, and patient portals for electronic health records.

Digital health is expected to improve chronic disease management and has already shown great potential in improving chronic disease health outcomes [ 3 , 4 ]. Just under half of the Australian population (47.3%) has at least 1 chronic disease [ 5 ]. Rates of chronic disease and complications from chronic disease are overrepresented among those with socioeconomic disadvantage [ 6 ]. Therefore, patients with chronic disease and socioeconomic disadvantage have a greater need for the potential benefits of digital health, such as an improvement in their health outcomes. However, there is a risk that those who could benefit most from digital health services are the least likely to receive them, exemplifying the inverse care law in the digital age by Hart [ 7 ].

Our Current Understanding of the Digital Health Divide

While the rapid growth of digital health brings the promise of health care equity, it may also intensify existing inequities [ 8 ]. The digital health divide for socioeconomic disadvantage describes a pattern in which patients considered socioeconomically disadvantaged who are already marginalized through poor access to traditional health care are additionally hindered through poor access to digital health [ 9 ]. In Australia, only 67.4% of households in the lowest household income quintile have home internet access, compared to 86% of the general population and 96.9% of households in the highest household income quintile [ 10 ]. Survey-based studies have also shown that even with internet access, effective eHealth use is lower in populations considered disadvantaged, which speaks to broader barriers to digital health access [ 11 ].

The ongoing COVID-19 global pandemic has sped up digital health transitions with the rapid uptake of telephone and video consultations, e-prescription, and the ongoing rollout of e-mental health in Australia. These have supported the continuation of health care delivery while limiting physical contact and the pandemic spread; however, the early evidence shows that the digital health divide remains problematic. A rapid review identified challenges with reduced digital access and digital literacy among the older adults and racial and ethnic minority groups, which are both groups at greater health risk from COVID-19 infections [ 12 ]. An Australian population study showed that the rapid uptake of telehealth during peak pandemic was not uniform, with the older adults, very young, and those with limited English language proficiency having a lower uptake of general practitioner (GP) telehealth services [ 13 ].

To ensure that digital health improves health care outcome gaps, it is essential to better understand the nature and nuance of the digital health divide for socioeconomic disadvantage. The nature of the digital health divide for socioeconomic disadvantage has been explored primarily through quantitative survey data, some qualitative papers, a few mixed methods papers, and systematic reviews [ 11 , 14 - 16 ]. Identified barriers include a lack of physical hardware and adequate internet bandwidth, a reduced inclination to seek out digital health, and a low ability and confidence to use digital health effectively [ 16 ]. The few mixed methods studies that exist on the digital health divide generally triangulate quantitative and qualitative data on a specific disease type or population subgroup to draw a combined conclusion [ 17 , 18 ]. These studies have found digital health access to be associated with education, ethnicity, and gender as well as trust, complementary face-to-face services, and the desire for alternative sources of information [ 17 , 19 ].

What This Work Adds

This project sought to extend previous research by using an exploratory mixed methods design to ensure that the first step and driver of our survey of a larger population was primarily shaped by the experiences of our interviewees within primary care. This differs from the triangulation method, which places the qualitative and quantitative data as equal first contributors to the findings and does not allow one type of data to determine the direction of the other [ 18 ]. We qualitatively explored the experience of digital health for patients with socioeconomic disadvantage and chronic disease and then quantitatively measured some of the qualitative findings via a survey of the Australian general practice patient population. Our key objective was to provide comprehensive primary mixed methods data, describing the experience and extent of barriers to accessing digital health and its benefits, with a focus on the digital health divide. We completed this research in a primary care context to investigate a diverse community-based population with conceivable reasons to seek digital help in managing their health. Findings from this mixed methods study were intended to provide health care providers and policy makers with a more detailed understanding of how specific barriers affect different aspects or steps of accessing digital health. Ultimately, understanding digital health access can influence the future design and implementation of digital health services by more effectively avoiding certain barriers or building in enablers to achieve improved digital health access not only for everyone but also especially for those in need.

Study Design

We conducted a sequential exploratory mixed methods study to explore a complex phenomenon in depth and then measure its prevalence. We qualitatively explored the experience of digital health for patients with chronic disease and socioeconomic disadvantage in the first phase. Data from the first phase informed a quantitative survey of the phenomenon across a wider population in the second phase [ 18 ]. Both stages of research were conducted before the COVID-19 pandemic in Australia.

Recruitment

Qualitative phase participants.

The eligibility criteria for the qualitative phase were as follows: English-speaking adults aged ≥18 years with at least 1 self-reported chronic disease and 1 marker of socioeconomic disadvantage (indicated by ownership of a Health Care Card or receiving a disability pension, unemployment, or a user of public housing). A chronic disease was defined to potential participants as a diagnosed long-term health condition that had lasted at least 6 months (or is expected to last for at least 6 months; examples are listed in Multimedia Appendix 1 ). The markers of socioeconomic disadvantage we used to identify potential participants were based on criteria typically used by local general practices to determine which patients can have lower or no out-of-pocket expenses. Apart from unemployment, the 3 other criteria to identify socioeconomic disadvantage are means-tested government-allocated public social services [ 20 ]. Qualitative phase participants were recruited from May to July 2019 through 3 general practices and 1 service organization that serve populations considered socioeconomically disadvantaged across urban, regional, and rural regions in the Australian Capital Territory and South Eastern New South Wales. A total of 2 recruitment methods were used in consultation with and as per the choice of the participating organizations. Potential participants were either provided with an opportunity to engage with researchers (KB and MAC) in the general practice waiting room or identified by the practice or organization as suitable for an interview. Interested participants were given a detailed verbal and written description of the project in a private space before providing written consent to be interviewed. All interview participants received an Aus $50 (US $32.68) grocery shopping voucher in acknowledgment of their time.

Quantitative Phase Participants

Eligibility for the quantitative phase was English-speaking adults aged ≥18 years. The eligibility criteria for the quantitative phase were deliberately broader than those for the qualitative phase to achieve a larger sample size within the limitations of recruitment and with the intention that the factors of socioeconomic disadvantage and having a chronic disease could be compared to the digital health access of a more general population. The quantitative phase participants were recruited from November 2019 to February 2020. Study information and paper-based surveys were distributed and collected through 24 general practices across the Australian Capital Territory and South Eastern New South Wales regions, with an option for web-based completion.

Ethical Considerations

Qualitative and quantitative phase research protocols, including the participant information sheet, were approved by the Australian Capital Territory Health Human Research Ethics Committee (2019/ETH/00013) and the Australian National University Human Research Ethics Committee (2019/ETH00003). Qualitative phase participants were given a verbal and written explanation of the study, including how and when they could opt out, before they provided written consent. All interview participants received an Aus $50 (US $32.68) grocery shopping voucher in acknowledgment of their time. Quantitative participants were given a written explanation and their informed consent was implied by return of a completed survey. Participants in both phases of the study were told that all their data was deidentified. Consent was implied through the return of a completed survey.

Qualitative Data Collection and Analysis

Participants were purposively sampled to represent a range in age, gender, degree of socioeconomic disadvantage, and experience of digital health. The sampling and sample size were reviewed regularly by the research team as the interviews were being completed to identify potential thematic saturation.

The interview guide was developed by the research team based on a review of the literature and the patient dimensions of the framework of access by Levesque et al [ 21 ]. The framework by Levesque et al [ 21 ] is a conceptualization of health care access comprising 5 service and patient dimensions of accessibility and ability. The patient dimensions are as follows: (1) ability to perceive, (2) ability to seek, (3) ability to reach, (4) ability to pay, and (5) ability to engage [ 21 ]. The key interview topics included (1) digital health use and access, including facilitators and barriers; (2) attitudes toward digital health; and (3) self-perception of digital health skills and potential training. The interview guide was reviewed for face and content validity by the whole research team, a patient advocate, a digital inclusion charity representative, and the general practices where recruitment occurred. The questions and guide were iteratively refined by the research team to ensure relevance and support reaching data saturation. The interview guide has been provided as Multimedia Appendix 1 . The interviews, which took 45 minutes on average, were taped and transcribed. An interview summary sheet and reflective journal were completed by the interviewer after each interview to also capture nonverbal cues and tone.

Interview transcriptions were coded and processed by inductive thematic analysis. Data collection and analysis were completed in parallel to support the identification of data saturation. Data saturation was defined as no significant new information arising from new interviews and was identified by discussion with the research team [ 22 ]. The 2 interviewers (MAC and KB) independently coded the first 5 transcripts and reflected on them with another researcher (EAS) to ensure intercoder validity and reliability. The rest of the interviews were coded independently by the 2 interviewers, who regularly met to reflect on emerging themes and thematic saturation. Data saturation was initially indicated after 15 interviews and subsequently confirmed with a total of 19 interviews. Coding disagreements and theme development were discussed with at least 1 other researcher (EAS, ER, and KD). Thematic saturation and the final themes were agreed upon by the entire research team.

Quantitative Survey Development

The final themes derived in the qualitative phase of the project guided the specific quantitative phase research questions. The final themes were a list of ordered cumulative barriers experienced by participants in accessing digital health and its benefits ( Figure 1 ). The quantitative survey was designed to test the association between barriers to access and the frequency of use of digital health as a proxy measure for digital health access.

In the survey, the participants were asked about their demographic details, health and chronic diseases, knowledge, use and experience of digital health tools, internet access, perception of digital resource affordability, trust in digital health and traditional health services, perceived capability, health care empowerment, eHealth literacy, and relationship with their GP.

Existing scales and questions from the literature and standardized Australian-based surveys were used whenever possible. We used selected questions and scales from the Australian Bureau of Statistics standards, the eHealth Literacy Scale (eHEALS), the eHealth Literacy Questionnaire, and the Southgate Institute for Health Society and Equity [ 17 , 23 - 26 ]. We adapted other scales from the ICEpop Capability Measure for Adults, the Health Care Empowerment Inventory (HCEI), the Patient-Doctor Relationship Questionnaire, and the Chao continuity questionnaire [ 23 , 27 - 29 ]. Where an existing scale to measure a barrier or theme did not exist, the research team designed the questions based on the literature. Our questions around the frequency of digital health use were informed by multiple existing Australian-based surveys on general technology use [ 30 , 31 ]. Most of the questions used a Likert scale. Every choice regarding the design, adaptation, or copy of questions for the survey was influenced by the qualitative findings and decided on by full agreement among the 2 researchers who completed and coded the interviews. A complete copy of the survey is provided in Multimedia Appendix 2 .

Pilot-testing of the survey was completed with 5 patients, 2 experts on digital inclusion, and 3 local GPs for both the paper surveys and web-based surveys via Qualtrics Core XM (Qualtrics LLC). The resulting feedback on face and content validity, functionality of the survey logic, and feasibility of questionnaire completion was incorporated into the final version of the survey.

The survey was offered on paper with a participant information sheet, which gave the patients the option to complete the web-based survey. The survey was handed out to every patient on paper to avoid sampling bias through the exclusion of participants who could not complete the web-based survey [ 32 ].

Quantitative Data Treatment and Analysis

Data were exported from Qualtrics Core XM to an SPSS (version 26; IBM Corp) data set. Data cleaning and screening were undertaken (KB and KO).

Descriptive statistics (number and percentage) were used to summarize participant characteristics, preference measures, and frequency of eHealth use. Significance testing was conducted using chi-square tests, with a threshold of P <.05; effect sizes were measured by the φ coefficient for 2×2 comparisons and Cramer V statistic for all others. Where the cells sizes were too small, the categories were collapsed for the purposes of significance testing. The interpretation of effect sizes was as per the study by Cohen [ 33 ]. The analysis was conducted in SPSS and SAS (version 9.4; SAS Institute).

Participant Characteristics

Participants’ self-reported characteristics included gender, indigenous status, income category, highest level of education, marital status, and language spoken at home.

Age was derived from participant-reported year of birth and year of survey completion as of 2019 and stratified into age groups. The state or territory of residence was derived from the participant-reported postcode. The remoteness area was derived using the postcode reported by the participants and mapped to a modified concordance from the Australian Bureau of Statistics. Occupation-free text responses were coded using the Australian Bureau of Statistics Census statistics level 1 and 2 descriptors. The country of birth was mapped to Australia, other Organisation for Economic Cooperation and Development countries, and non–Organisation for Economic Cooperation and Development countries.

Frequency of eHealth Use

A summary measure of the frequency of eHealth use was derived from the questions on the use of different types of eHealth.

Specifically, respondents were asked if they had ever used any form of web-based health (“eHealth“) and, if so, to rate how often (never, at least once, every now and then, and most days) against 6 types of “eHealth” (searching for health information online, booking appointments online, emailing health care providers, using health-related mobile phone apps, accessing My Health Record, and accessing online health forums). The frequency of eHealth use was then classified as follows:

High user: answered “most days” to at least 1 question on eHealth use OR answered “every now and then” to at least 2 questions on eHealth use
Never user: answered “no” to having ever used any form of eHealth OR “never” to all 6 questions on eHealth use
Low or medium user: all other respondents.

The frequency of eHealth use was reported as unweighted descriptive statistics (counts and percentages) against demographic characteristics and for the elements of each of the themes identified in phase 1.

Overview of Key Themes

Data were reported against the 6 themes from the phase 1 results of preference, trust, cost, structural access, capacity to engage, and self-efficacy. Where the components of trust, cost, capacity to engage, and self-efficacy had missing data (for less than half of the components only), mean imputation was used to minimize data loss. For each theme, the analysis excluded those for whom the frequency of eHealth use was unknown.

Preference measures (survey section D1 parts 1 to 3) asked participants to report against measures with a 4-point Likert scale (strongly disagree, disagree, agree, and strongly agree). Chi-square tests were conducted after the categories were condensed into 2 by combining strongly disagree and as well as combining strongly agree and agree.

Summary measures for trust were created in 4 domains: trust from the eHealth Literacy Questionnaire (survey section D1 parts 4 to 8), trust from Southgate—GPs, specialists, or allied health (survey section D2 parts 1 to 5), trust from Southgate—digital health (survey section D2 parts 6, 7, 9, and 10), and trust from Southgate—books or pamphlets (survey section D2 part 8). The data were grouped as low, moderate, and high trust based on the assigned scores from the component data. Chi-square tests were conducted comparing low-to-moderate trust against high trust for GP, specialists, or allied health and comparing low trust against moderate-to-high trust for book or pamphlet.

Summary measures for cost were created from survey item C10. To measure cost, participants were asked about whether they considered certain items or services to be affordable. These included cost items mentioned in the qualitative phase interviews relating to mobile phones (1 that connects to the internet, 1 with enough memory space to download apps, downloads or apps requiring payment, repairs, and maintenance costs), having an iPad or tablet with internet connectivity, a home computer or laptop (owning, repairs, and maintenance), home fixed internet access, and an adequate monthly data allowance. These 9 items were scored as “yes definitely”=1 or 0 otherwise. Chi-square tests were conducted with never and low or medium eHealth users combined.

Structural Access

Structural access included asking where the internet is used by participants (survey section C8) and factors relating to internet access (survey section C8 parts 1-3) reporting against a 4-point Likert scale (strongly disagree, disagree, agree, and strongly agree). Chi-square tests were conducted with strongly disagree, disagree, agree, or strongly agree, and never, low, or medium eHealth use combined.

Capacity to Engage

Summary measures for capacity to engage were created from survey section E1. To measure the capacity to engage, participants were asked about feeling “settled and secure,” “being independent,” and “achievement and progress” as an adaptation of the ICEpop Capability Measure for Adults [ 27 ], reporting against a 4-point Likert-like scale. Responses were scored from 1 (“I am unable to feel settled and secure in any areas of my life”) to 4 (“I am able to feel settled and secure in all areas of my life”).

The summary capacity measure was derived by the summation of responses across the 3 questions, which were classified into 4 groups, A to D, based on these scores. Where fewer than half of the responses were missing, mean imputation was used; otherwise, the record was excluded. Groups A and B were combined for significance testing.

Self-Efficacy

Summary measures for self-efficacy were adapted from the eHEALS (E3) and the HCEI (E2) [ 23 , 24 ].

Survey section E3—eHEALS—comprised 8 questions, with participants reporting against a 5-point Likert scale for each (strongly disagree, disagree, neither, agree, and strongly agree). These responses were assigned 1 to 5 points, respectively. The summary eHEALS measure was derived by the summation of responses across the 8 questions, which were classified into 5 groups, A to E, based on these scores. Where fewer than half of the responses were missing, mean imputation was used; otherwise, the record was excluded. Groups A to C and D to E were combined for significance testing.

Survey section E2—HCEI—comprised 5 questions, with participants reporting against a 5-point Likert scale for each (strongly disagree, disagree, neither, agree, and strongly agree). Strongly disagree and disagree and neither were combined, and similarly agree and strongly agree were combined for significance testing.

Qualitative Results

The demographic characteristics of the patients that we interviewed are presented in Table 1 .

The key barriers found to accessing digital health included (1) strong patient preference for human-based health services; (2) low trust in digital health services; (3) high financial costs of necessary tools, maintenance, and repairs; (4) poor publicly available internet access options; (5) reduced capacity to engage due to increased life pressures; and (6) low self-efficacy and confidence in using digital health.

Rather than being an equal list of factors, our interviewees described these barriers as a stepped series of cumulative hurdles, which is illustrated in Figure 1 . Initial issues of preference and trust were foundational to a person even when considering the option of digital health, while digital health confidence and literacy were barriers to full engagement with and optimal use of digital health. Alternatively, interviewees who did use digital health had been enabled by the same factors that were barriers to others.

a GP: general practitioner.

b Multiple answers per respondent.

Strong Patient Preference for Human-Based Health Services

Some patients expressed a strong preference for human-based health services rather than digital health services. In answer to a question about how digital health services could be improved, a patient said the following:

Well, having an option where you can actually bypass actually having to go through the app and actually talk directly to someone. [Participant #10]

For some patients, this preference for human-based health services appeared to be related to a lack of exposure to eHealth. These patients were not at all interested in or had never thought about digital health options. A participant responded the following to the interviewer’s questions:

Interviewer: So when...something feels not right, how do you find out what’s going on?

Respondent: I talk to Doctor XX.

Interviewer: Do you ever Google your symptoms or look online for information?

Respondent: No, I have never even thought of doing that actually. [Participant #11]

For other patients, their preference for human-based health care stemmed from negative experiences with technology. These patients reported actively disliking computers and technology in general and were generally frustrated with what they saw as the pitfalls of technology. A patient stated the following:

If computers and internet weren’t so frigging slow because everything is on like the slowest speed network ever and there’s ads blocking everything. Ads, (expletive) ads. [Participant #9]

A patient felt that he was pushed out of the workforce due his inability to keep up with technology-based changes and thus made a decision to never own a computer:

But, you know, in those days when I was a lot younger those sorts of things weren’t about and they’re just going ahead in leaps and bounds and that’s one of the reasons why I retired early. I retired at 63 because it was just moving too fast and it’s all computers and all those sorts of things and I just couldn’t keep up. [Participant #17]

Low Trust in Digital Health Services

Several patients described low trust levels for digital and internet-based technology in general. Their low trust was generally based on stories they had heard of other people’s negative experiences. A patient said the following:

I don’t trust the internet to be quite honest. You hear all these stories about people getting ripped off and I’ve worked too hard to get what I’ve got rather than let some clown get it on the internet for me. [Participant #11]

Some of this distrust was specific to eHealth. For example, some patients were highly suspicious of the government’s motives with regard to digital health and were concerned about the privacy of their health information, which made them hesitant about the concept of a universal electronic health record. In response to the interviewer’s question, a participant said the following:

Interviewer: Are there any other ways you think that eHealth might help you?

Respondent: I’m sorry but it just keeps coming back to me, Big Brother. [Participant #7]

Another participant said the following:

I just would run a mile from it because I just wouldn’t trust it. It wouldn’t be used to, as I said, for insurance or job information. [Participant #16]

High Financial Costs of the Necessary Tools, Maintenance, and Repairs

A wide variety of patients described affordability issues across several different aspects of the costs involved in digital health. They expressed difficulty in paying for the following items: a mobile phone that could connect to the internet, a mobile phone with enough memory space to download apps, mobile phone apps requiring extra payment without advertisements, mobile phone repair costs such as a broken screen, a computer or laptop, home internet access, and adequate monthly data allowance and speeds to functionally use the internet. Current popular payment systems, such as plans, were not feasible for some patients. A participant stated the following:

I don’t have a computer...I’m not in the income bracket to own a computer really. Like I could, if I got one on a plan kind of thing or if I saved up for x-amount of time. But then like if I was going on the plan I’d be paying interest for having it on like lay-buy kind of thing, paying it off, and if it ever got lost or stolen I would still have to repay that off, which is always a hassle. And yeah. Yeah, I’m like financially not in the state where I’m able to...own a computer right now as I’m kind of paying off a number of debts. [Participant #9]

Poor Publicly Available Internet Access Options

Some patients described struggling without home internet access. While they noted some cost-free public internet access points, such as libraries, hotel bars, and restaurants, they often found these to be inconvenient, lacking in privacy, and constituting low-quality options for digital health. A patient stated the following:

...it’s incredibly slow at the library. And I know why...a friend I went to school with used to belong to the council and the way they set it up, they just got the raw end of the stick and it is really, really slow. It’s bizarre but you can go to the X Hotel and it’s heaps quicker. [Participant #15]

In response to the interviewer's question, a participant said the following:

Interviewer: And do you feel comfortable doing private stuff on computers at the library...?

Respondent: Not really, no, but I don’t have any other choice, so, yeah. [Participant #9]

Reduced Capacity to Engage Due to Increased Life Pressures

When discussing why they were not using digital health or why they had stopped using digital health, patients often described significant competing priorities and life pressures that affected their capacity to engage. An unemployed patient mentioned that his time and energy on the internet were focused primarily on finding work and that he barely had time to focus on his health in general, let alone engage in digital health.

Other patients reported that they often felt that their ability to learn about and spend time on digital health was taken up by caring for sick family members, paying basic bills, or learning English. Some patients said that the time they would have spent learning digital skills when they were growing up had been lost to adverse life circumstances such as being in jail:

So we didn’t have computers in the house when I was growing up. And I didn’t know I’ve never...I’ve been in and out of jail for 28 odd years so it sort of takes away from learning from this cause it’s a whole different… it’s a whole different way of using a telephone from a prison. [Participant #11]

Low Self-Efficacy and Confidence in Starting the Digital Health Process

Some patients had a pervasive self-perception of being slow learners and being unable to use technology. Their stories of being unconfident learners seemed to stem from the fact that they had been told throughout their lives that they were intellectually behind. A patient said the following:

The computer people...wouldn’t take my calls because I’ve always been dumb with that sort of stuff. Like I only found out this later on in life, but I’m actually severely numerically dyslexic. Like I have to triple-check everything with numbers. [Participant #7]

Another patient stated the following:

I like went to two English classes like a normal English class with all the kids and then another English class with about seven kids in there because I just couldn’t I don’t know maybe because I spoke another language at home and they sort of like know I was a bit backward. [Participant #6]

These patients and others had multiple missing pieces of information that they felt made it harder to engage in digital health compared to “easier” human-based services. A patient said the following:

Yeah I’ve heard of booking online but I just I don’t know I find it easier just to ring up. And I’ll answer an email from a health care provider but I wouldn’t know where to start to look for their email address. [Participant #11]

In contrast, the patients who did connect with digital health described themselves as independent question askers and proactive people. Even when they did not know how to use a specific digital health tool, they were confident in attempting to and asking for help when they needed it. A patient said the following:

I’m a “I will find my way through this, no matter how long it takes me” kind of person. So maybe it’s more my personality...If I have to ask for help from somewhere, wherever it is, I will definitely do that. [Participant #3]

Quantitative Results

A total of 487 valid survey responses were received from participants across 24 general practices. The participant characteristics are presented in detail in Table S1 in Multimedia Appendix 3 .

The mean age of the participants was approximately 50 years (females 48.9, SD 19.4 years; males 52.8, SD 20.0 years), and 68.2% (332/487) of the participants identified as female. Overall, 34.3% (151/439) of respondents reported never using eHealth, and 53.8% (236/439) reported high eHealth use.

There were statistically significant ( P <.05) differences in the frequency of eHealth use in terms of age group, gender, state, remoteness, highest level of education, employment status, occupation group, marital status, and language spoken at home, with effect sizes being small to medium. Specifically, high eHealth characteristics were associated with younger age, being female, living in an urban area, and being employed.

Table 2 presents the frequency of eHealth use against 3 internet preference questions.

Preference for using the internet and technology in general and for health needs in particular were significantly related to the frequency of eHealth use ( P <.05 for each), with the effect sizes being small to medium.

a Excludes those for whom frequency of eHealth use is unknown.

b Chi-square tests conducted with strongly disagree and disagree combined, and agree and strongly agree combined.

Table 3 presents the frequency of eHealth use against 4 measures of trust.

The degree of trust was not statistically significantly different for the frequency of eHealth use for any of the domains.

b eHLQ: eHealth Literacy Questionnaire.

c Derived from survey question D1, parts 4 to 8. Mean imputation used where ≤2 responses were missing. If >2 responses were missing, the records were excluded.

d Derived from survey question D2, parts 1 to 5. Mean imputation used where ≤2 responses were missing. If >2 responses were missing, the records were excluded.

e Chi-square test conducted comparing low-to-moderate trust against high trust.

f Derived from survey question D2, parts 6, 7, 9, and 10. Mean imputation used where ≤2 responses were missing. If >2 responses were missing, the records were excluded.

g Derived from survey question D2 part 8.

h Chi-square test conducted comparing low trust against moderate-to-high trust.

Affordability of items and services was reported as No cost difficulty or Cost difficulty. eHealth frequency of use responses were available for 273 participants; among those with no cost difficulty , 1% (2/204) were never users, 14.2% (29/204) were low or medium users, and 84.8% (173/204) were high users of eHealth; among those with cost difficulty , 1% (1/69) were never users, 26% (18/69) were low or medium users, and 73% (50/69) were high users. There was a statistically significant difference in the presence of cost as a barrier between never and low or medium eHealth users compared to high users ( χ 2 1 =5.25; P =.02), although the effect size was small.

Table 4 presents the frequency of eHealth use for elements of structural access.

Quality of internet access and feeling limited in access to the internet were significantly associated with frequency of eHealth use ( P <.05), although the effect sizes were small.

b N/A: not applicable (cell sizes insufficient for chi-square test).

c Chi-square tests conducted with strongly disagree and disagree combined, agree and strongly agree combined, and never and low or medium categories combined.

Table 5 presents the frequency of eHealth use against respondents’ capacity to engage.

Capacity to engage was not significantly different for the frequency of eHealth use ( P =.54).

b Derived from survey item E1. Where 1 response was missing, the mean imputation was used. If >1 response was missing, the record was excluded.

c Chi-square tests conducted with groups A and B combined.

Table 6 presents the frequency of eHealth use for elements of self-efficacy.

Statistically significant results were observed for the relationship between self-efficacy by eHEALS (moderate effect size) and frequency of eHealth use as well as for some of the questions from the HCEI (reliance on health professionals or others to access and explain information; small effect size; P <.05).

b eHEALS: eHealth Literacy Scale.

c eHEALS derived from item E3 (8 parts). Where ≤ 4 responses were missing, mean imputation was used. If >4 responses were missing, the records were excluded. Groups A to C as well as groups D to E were combined for the chi-square test.

d Strongly disagree, disagree, neither, and agree or strongly agree combined for significance testing.

Principal Findings

This paper reports on the findings of a sequential exploratory mixed methods study on the barriers to digital health access for a group of patients in Australian family medicine, with a particular focus on chronic disease and socioeconomic disadvantage.

In the qualitative first phase, the patients with socioeconomic disadvantage and chronic disease described 6 cumulative barriers, as demonstrated in Figure 1 . Many nonusers of digital health preferred human-based services and were not interested in technology, while others were highly suspicious of the technology in general. Some digitally interested patients could not afford quality hardware and internet connectivity, a barrier that was doubled by low quality and privacy when accessing publicly available internet connections. Furthermore, although some digitally interested patients had internet access, their urgent life circumstances left scarce opportunity to access digital health and develop digital health skills and confidence.

In our quantitative second phase, 31% (151/487) of the survey participants from Australian general practices were found to have never used a form of digital health. Survey participants were more likely to use digital health tools frequently when they also had a general digital interest and a digital health interest. Those who did not frequently access digital health were more likely to report difficulty affording the financial costs needed for digital access. The survey participants who frequently accessed digital health were more likely to have high eHealth literacy and high levels of patient empowerment.

Comparison With Prior Work

In terms of general digital health access, the finding that 31% (151/487) of the survey participants had never used one of the described forms of eHealth is in keeping with an Australian-based general digital participation study that found that approximately 9% of the participants were nonusers and 17% rarely engaged with the internet at all [ 34 ]. With regard to the digital health divide, another Australian-based digital health divide study found that increased age, living in a lower socioeconomic area, being Aboriginal or Torres Strait Islander, being male, and having no tertiary education were factors negatively associated with access to digital health services [ 17 ]. Their findings correspond to our findings that higher-frequency users of eHealth were associated with younger age, being female, living in an urban area, and being employed. Both studies reinforce the evidence of the digital health divide based on gender, age, and socioeconomic disadvantage in Australia.

With regard to digital health barriers, our findings provide expanded details on the range of digital health items and services that present a cost barrier to consumers. Affordability is a known factor in digital access and digital health access, and it is measured often by general self-report or relative expenditure on internet access to income [ 30 ]. Our study revealed the comprehensive list of relevant costs for patients. Our study also demonstrated factors of cost affordability beyond the dollar value of an item, as interviewees described the struggle of using slow public internet access without privacy features and the risks involved in buying a computer in installments. When we reflected on the complexity and detail of the cost barrier in our survey, participants demonstrated a clear association between cost and the frequency of digital health use. This suggests that a way to improve digital health access for some people is to improve the quality, security, and accessibility of public internet access options as well as to provide free or subsidized hardware, internet connection, and maintenance options for those in need, work that is being done by at least 1 digital inclusion charity in the United Kingdom [ 35 ].

Many studies recognize the factors of eHealth literacy and digital confidence for beneficial digital health access [ 36 ]. Our interviews demonstrated that some patients with socioeconomic disadvantage have low digital confidence, but that this is often underlined by a socially reinforced lifelong low self-confidence in their intellectual ability. In contrast, active users, regardless of other demographic factors, described themselves as innately proactive question askers. This was reinforced by our finding of a relationship between health care empowerment and the frequency of eHealth use. This suggests that while digital health education and eHealth literacy programs can improve access for some patients, broader and deeper long-term solutions addressing socioeconomic drivers of digital exclusion are needed to improve digital health access for some patients with socioeconomic disadvantage [ 8 ]. The deep permeation of socially enforced low self-confidence and lifelong poverty experienced by some interviewees demonstrate that the provision of free hardware and a class on digital health skills can be, for some, a superficial offering when the key underlying factor is persistent general socioeconomic inequality.

The digital health divide literature tends to identify the digital health divide, the factors and barriers that contribute to it, and the potential for it to widen if not specifically addressed [ 16 ]. Our findings have also identified the divide and the barriers, but what this study adds through our qualitative phase in particular is a description of the complex interaction of those barriers and the stepped nature of some of those barriers as part of the individual’s experience in trying to access digital health.

Strengths and Limitations

A key strength of this study is the use of a sequential exploratory mixed methods design. The initial qualitative phase guided a phenomenological exploration of digital health access experiences for patients with chronic disease and socioeconomic disadvantage. Our results in both study phases stem from the patients’ real-life experiences of digital health access. While some of our results echo the findings of other survey-based studies on general digital and digital health participation, our method revealed a greater depth and detail of some of these barriers, as demonstrated in how our findings compare to prior work.

As mentioned previously, the emphasis of this study on the qualitative first phase is a strength that helped describe the interactions between different barriers. The interviewees described their experiences as cumulative unequal stepped barriers rather than as producing a nonordered list of equal barriers. These findings expand on the known complexity of the issue of digital exclusion and add weight to the understanding that improving digital health access needs diverse, complex solutions [ 17 ]. There is no panacea for every individual’s digital health access, and thus, patient-centered digital health services, often guided by health professionals within the continuity of primary care, are also required to address the digital health divide [ 37 ].

While the sequential exploratory design is a strength of the study, it also created some limitations for the second quantitative phase. Our commitment to using the qualitative interview findings to inform the survey questions meant that we were unable to use previously validated scales for every question and that our results were less likely to lead to a normal distribution. This likely affected our ability to demonstrate significant associations for some barriers. We expect that further modeling is required to control for baseline characteristics and determine barrier patterns for different types of users.

One strength of this study is that the survey was administered to a broad population of Australian family medicine patients with diverse patterns of health via both paper-based and digital options. Many other digital health studies use solely digital surveys, which can affect the sample. However, we cannot draw conclusions from our survey about patients with chronic disease due to the limitations of the sample size for these subgroups.

Another sample-based limitation of this study was that our qualitative population did not include anyone aged from 18 to 24 years, despite multiple efforts to recruit. Future research will hopefully address this demographic more specifically.

While not strictly a limitation, we recognize that because this research was before COVID-19, it did not include questions about telehealth, which has become much more mainstream in recent years. The patients may also have changed their frequency of eHealth use because of COVID-19 and an increased reliance on digital services in general. Future work in this area or future versions of this survey should include telehealth and acknowledge the impact of COVID-19. However, the larger concept of the digital health divide exists before and after COVID-19, and in fact, our widespread increased reliance on digital services makes the digital divide an even more pressing issue [ 12 ].

Conclusions

The experience of digital health access across Australian primary care is highly variable and more difficult to access for those with socioeconomic disadvantage. While general digital interest, financial cost, and digital health literacy and empowerment are clear factors in digital health access in a broad primary care population, the digital health divide is also facilitated in part by a stepped series of complex and cumulative barriers.

Genuinely improving digital health access for 1 cohort or even 1 person requires a series of multiple different interventions tailored to specific sequential barriers. Given the rapid expansion of digital health during the global COVID-19 pandemic, attention to these issues is necessary if we are to avoid entrenching inequities in access to health care. Within primary care, patient-centered care that continues to recognize the complex individual needs of, and barriers facing, each patient should be a part of addressing the digital health divide.

Acknowledgments

The authors are thankful to the patients who shared their experiences with them via interview and survey completion. The authors are also very grateful to the general practices in the Australian Capital Territory and New South Wales who kindly gave their time and effort to help organize interviews, administer, and post surveys in the midst of the stress of day-to-day practice life and the bushfires of 2018-2019. The authors thank and acknowledge the creators of the eHealth Literacy Scale, the eHealth Literacy Questionnaire, the ICEpop Capability Measure for Adults, the Health Care Empowerment Inventory, the Patient-Doctor Relationship Questionnaire, the Chao continuity questionnaire, and the Southgate Institute for Health Society and Equity for their generosity in sharing their work with the authors [ 17 , 19 - 25 ]. This study would not have been possible without the support of the administrative team of the Academic Unit of General Practice. This project was funded by the Royal Australian College of General Practitioners (RACGP) through the RACGP Foundation IPN Medical Centres Grant, and the authors gratefully acknowledge their support.

Data Availability

The data sets generated during this study are not publicly available due to the nature of our original ethics approval but are available from the corresponding author on reasonable request.

Authors' Contributions

MAC acquired the funding, conceptualized the project, and organized interview recruitment. MAC and KB conducted interviews and analyzed the qualitative data. EAS, ER, and KD contributed to project planning, supervision and qualitative data analysis. MAC, KB and KO wrote the survey and planned quantitative data analysis. MAC and KB recruited practices for survey administration. KO and KB conducted the quantitative data analysis. MAC and KO, with KB drafted the paper. EAS, ER, and KD helped with reviewing and editing the paper.

Conflicts of Interest

None declared.

Phase 1 interview guide.

Phase 2 survey: eHealth and digital divide.

Phase 2 participant characteristics by frequency of eHealth use.

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Abbreviations

Edited by T Leung; submitted 03.07.23; peer-reviewed by T Freeman, H Shen; comments to author 16.08.23; revised version received 30.11.23; accepted 31.01.24; published 11.04.24.

©Melinda Ada Choy, Kathleen O'Brien, Katelyn Barnes, Elizabeth Ann Sturgiss, Elizabeth Rieger, Kirsty Douglas. Originally published in the Journal of Medical Internet Research (https://www.jmir.org), 11.04.2024.

This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in the Journal of Medical Internet Research, is properly cited. The complete bibliographic information, a link to the original publication on https://www.jmir.org/, as well as this copyright and license information must be included.

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Original research article, the application of virtual synchronous generator technology in inertial control of new energy vehicle power generation.

1 College of Transportation Engineering, Changzhou Vocational Institute of Mechatronic Technology, Changzhou, China
2 Component Testing and Research Department, China Automotive Technology and Research Center Co., Ltd., Changzhou, China

Introduction: With the rapid development of human society and economy, the power generation technology of various new energy vehicles has begun to receive widespread attention.

Methods: Due to the lack of inertia and frequency stability in the new energy vehicle power generation system, this paper proposes a power generation control method that combines linear active disturbance rejection control technology and virtual synchronous generator technology. This method first introduces the control strategy and inertial response of the virtual synchronous generator. Then, it uses linear active disturbance rejection control technology to improve the virtual synchronous generator technology to deal with the uncertainty and external interference in the system.

Results: The results showed that when the virtual inertia coefficient was 0, and the new energy vehicles would hardly intervene in the regulation of the grid voltage. When the virtual inertia coefficient was 5, the decline rate of the DC bus voltage of new energy vehicles had slowed down. When the virtual inertia coefficient increased, the power output of new energy vehicles can be increased to the grid. When the load suddenly increased, and the corresponding DC bus voltage decreased more slowly. In the VSG output power comparison, under the research method, the frequency fluctuation only increased by 0.09 Hz and returned to the rated frequency of 50 Hz. Additionally, the dynamic process of the system output power was the shortest, lasting only 0.05 s.

Discussion: The above results show that the research method has significant superiority and effectiveness in improving the inertial response and overall stability of the new energy vehicle power system.

1 Introduction

With the transformation of the global energy structure and the increasing requirement for environmental protection, the new energy vehicles (NEVs) are becoming a global trend. Meanwhile, the rapid growth of renewable energy resources (RES) causes the power system operate stable uncertainly. In this context, how to effectively integrate NEVs and power systems has become one of the hot research topics in the current energy field ( Chang et al., 2021 ; Mitra and Nguyen, 2022 ). Especially in the inertial control of power generation in the power system, NEVs play an increasingly important role. At present, most research focuses on the application of VSG technology in fixed power systems, while there is relatively little research on the specific application scenarios of mobile power systems, especially NEVs. At the same time, traditional power systems rely on large synchronous generators to provide the necessary inertia to maintain system frequency stability. However, with the widespread integration of RES, the number of traditional generators in the system has decreased, leading to a decrease in grid inertia and thus affecting the stability of the grid. In this situation, virtual synchronous generator (VSG) technology has attracted widespread attention in recent years as an innovative solution ( Muhtadi et al., 2021 ; Choudhuri et al., 2023 ). VSG technology can simulate the dynamic features of traditional synchronous generator (SG), such as inertia and damping, which is particularly important for power sources without rotating mass such as photovoltaics, wind power, and NEVs. By implementing behaviors similar to SG, VSG technology provides a useful way to enhance the stability and adaptability of the power grid, especially in the face of large-scale RES integration and load fluctuations ( Zeng et al., 2021 ). However, applying VSG to NEVs power generation systems (PGS) still faces challenges, especially in dealing with uncertainty and external disturbances. In view of this, this experiment proposes to use linear active disturbance rejection controller (LADRC) technology to improve VSG and apply it to the inertial control of NEVs in the PGS, aiming to improve the operational stability of the PGS.

The experiment focuses on two innovative points. Firstly, the mathematical model of SG is established, and then the basic model of virtual synchronous machine is extended. This model is combined with the topology structure of the NEV converter to obtain the charging and discharging control strategy of the converter. Secondly, second-order active disturbance rejection control is introduced to improve the traditional VSG model, and the performance of the improved control model is analyzed. Meanwhile, the conclusions are supported through simulation comparison and verification with different methods.

2 Related works

The application of VSG technology in inertial control of NEVs power generation (IC-NEVsPG), especially in improving the stability and flexibility of power systems, has attracted widespread attention from many scholars. Rathore et al. proposed a damping control method based on VSG to enable real-time adjustment of equation parameters. It utilized VSG to control the inertia and damping factor, and the effectiveness of this technology has been verified through simulation. By adjusting the inertia and damping factors, the dynamic frequency variation of micro-grids could be effectively controlled ( Rathore et al., 2021 ). Elizabeth Michael N and other scholars proposed a compensatory technique based on VSG to control the frequency fluctuations of electric vehicle inverters. It analyzed the construction of direct current (DC) and electric vehicle batteries, and verified the bidirectional power flow between the proposed virtual power plant and the power grid through case studies. Ultimately, it enabled the power grid to have higher penetration capabilities ( Elizabeth Michael et al., 2020 ). Tinajero’s team proposed a nonlinear optimal controller for PGSs based on electronic power inverters to simulate the inertia. In addition, the analysis program predefined the inertia constant of the inverter, which must consider the rated power of the generator during the formulation process. This method was effective ( Tinajero et al., 2022 ). Zhang et al. proposed a control method that integrates fuzzy inference system and VSG to achieve a multi VSG parallel system for micro-grid alternating current (AC). This method utilized fuzzy logic rules to adjust the virtual inertia and damping factor to achieve coordinated control between the two. This method could effectively suppress power frequency oscillations ( Zhang et al., 2022 ). Terazono et al. proposed an improved intelligent motor control method to effectively enhance the inertia of future power grids. By utilizing this system, it was possible to effectively control mechanism updates and temporarily utilize the kinetic energy stored in rotating loads. The proposed method for suppressing power grid frequency fluctuations had significant effectiveness ( Terazono et al., 2020 ).

In addition, scholars have analyzed other control strategies for micro-grids. Rasool et al. analyzed two methods, sag control strategy and low inertia micro-grid stability control strategy, and verified the effectiveness and sharing of this method from theory and practice. The charging control of electric vehicles could provide sufficient inertia and damping for the micro-grid, and extend the lifespan of electric vehicle batteries ( Rasool et al., 2020 ). Jafari et al. proposed an induction charging method based on modulation grid power supply to improve the stability of power supply frequency. This method could effectively adjust the charging station and virtual inertia using a controller, thereby controlling the frequency of power grid fluctuations and improving the control efficiency of the controller ( Jafari et al., 2020 ). Magdy et al. proposed a vehicle networking control method based on VSG to control the load frequency of AC islanded micro-grids. It also used an improved heuristic optimization algorithm to adjust the controller parameters, and finally verified the feasibility and effectiveness of this method ( Magdy et al., 2021 ). The team of scholars Khokhar and Dahiya proposed a bio inspired SSO and fuzzy PID control method to reduce the minimum frequency of electric vehicle battery operation. The experiment found that the controller has good robustness and the system has high stability under this technology ( Khokhar et al., 2020 ). Albert et al. proposed an optimization method that integrates adaptive hybrid particle swarm optimization and grey wolf algorithm to improve the charging efficiency of fast charging stations for hybrid vehicles. This method limited the quantity of charging stations installed while minimizing the overall pricing cost, significantly improving the charging capacity of stations and minimizing charging costs ( Albert et al., 2022 ).

To sum up, most current research focuses on fixed power systems. Relevant research on mobile power systems, especially the specific application scenario of new energy electric vehicles, is still relatively scarce. The dynamic working environment and changing load demands of NEVs place higher requirements on the adaptability and control strategies of power generation technology. In view of this, the paper proposes an improved virtual synchronous power generation technology and applies it to new energy PGSs, hoping to improve the stability of automobile PGSs.

3 The application of VSG technology in IC-NEVsPG

The aim of this experiment is to explore the application of VSG technology in IC-NEVsPG and further optimize the control strategy by combining LADRC technology. An in-depth analysis is conducted on the working principle and control strategy of VSG technology, especially its implementation and effectiveness in NEVs, and the application of LADRC technology in VSG systems is explored.

3.1 Control strategy and inertial response of VSG

The development of VSG mainly addresses some challenges encountered in distributed energy systems, such as the large fluctuations, lack of inertia, and complex power allocation problems that arise when using traditional power electronic devices. This type of system typically includes new energy generation units, energy storage systems, and VSG inverters that play a core role ( Idan et al., 2023 ). Figure 1 shows the topology of VSG.

Figure 1 . Structure of VSG.

The synchronous machine model in virtual synchronous machine technology can adopt different levels of simulation models. Although higher-order models theoretically have more precise accuracy, their value in practical applications is limited due to their complexity and high computational costs ( Salem et al., 2023 ). Therefore, the experiment adopts a second-order hidden pole synchronous machine model as the core of VSG, while assuming that the model does not include the magnetic saturation effect of the iron core and rotor damping. The corresponding operational structure of the SG is Figure 2 .

Figure 2 . Operating structure of SG.

Assuming that variable DC current source i f provides power to the rotor winding of VSG. When the system is stable, it is assumed that the value of i f remains unchanged, then d j f / d t = 0 . The corresponding calculation of the back electromotive force of the synchronous machine is Eq. 1 .

In Eq. 1 , e a , e b , and e c all represent the back electromotive force of the generator. i f represents the rotor excitation current of the SG. M f represents the max-mutual inductance between the stator-winding and the rotor-winding. Furthermore, the calculation of the active power (AP) P and reactive power (RP) Q of VSG at the inverter bridge arm is Eq. 2 .

The above equation and the principle of VSG indicate that frequency stability is a key indicator for the operation of automotive power systems. Its fluctuations not only reduce the operational efficiency of power grid equipment, but may also affect the entire system’s stability. If the frequency deviation is not corrected in a timely manner, it may seriously interfere with the normal operation of the car, and even lead to the collapse of the power grid frequency. In traditional SGs, the static characteristic equation between the AP and frequency of the generator, as well as the mechanical equation, can be established through a speed controller. The specific calculation is Eq. 3 .

In Eq. 3 , P m is the mechanical power input to the generator. P e represents the electromagnetic power output by the generator. ω r e f represents the angular frequency (AF) reference value of the generator. ω g represents the AF of the generator rotor. K f represents the frequency adjustment coefficient. J s represents the moment of inertia of the generator rotor. T m , T e and D represent the mechanical torque, electromagnetic torque, and damping coefficient of the generator, respectively. P r e f represents the reference value of the given AP of the SG. Next, this experiment combines the damping coefficient and droop coefficient under the active frequency modulation of VSG, and the corresponding control equation is Eq. 4 .

In Eq. 4 , J represents the virtual moment of inertia. P s e t represents the given AP reference value. D p represents the virtual damping coefficient. The reactive voltage regulation of VSG can be established through the reactive voltage control characteristics of SGs, and the droop coefficient of reactive voltage can be obtained, as shown in Eq. 5 .

In Eq. 5 , Q s e t represents the reference value of RP. Q represents the actual RP output of VSG. U m is the voltage amplitude at the PCC point of the LCL inverter. U r e f represents the reference value of VSG output voltage amplitude. D p is the RP voltage coefficient. The process of VSG’s AP control and RP control is Figure 3 .

Figure 3 . Flow of VSG AP control and reactive voltage control. (A) VSG active power control diagram (B) VSG reactive voltage control diagram.

In VSG design, inertia and damping are crucial for the inertial response of VSG. The larger the inertia time constant, the more difficult it is for the generator rotor to accelerate, and the corresponding natural oscillation angle frequency and damping coefficient will be smaller. The inertia time constant is usually defined based on the rated capacity of the generator and is used to obtain the dynamic response time, as shown in Eq. 6 .

In Eq. 6 , ω n is the AF of natural oscillation. ξ represents the damping coefficient. t r is the dynamic response time. δ represents power-frequency response. Therefore, when calculating the equivalent inertia time constant of the power grid, the output power of the generator can be linked to the inertia constant, thereby obtaining the virtual inertia constant K of the system. When determining the parameters of the VSG model, it is necessary to avoid power overshoot during transient processes and ensure the equipment’s safety and stable operation.

3.2 IC-NEVsPG based on VSG

The suppression of frequency fluctuations at the grid connection point in this study plays a crucial role in the grid connection stability of NEVs. In islanding mode, the output voltage of NEVs will vary with the load, making it difficult to maintain a stable rated frequency. To reduce frequency fluctuations at the grid connection point, improve the dynamic response of NEVs converters, and achieve seamless frequency modulation in islanding mode, this experiment proposes to improve the VSG control strategy using LADRC. By linearizing the controller and linking various parameters in the system with the bandwidth of the controller and observer, the problem of parameter tuning is simplified ( Wu et al., 2023 ). At the same time, the tracking differential part in ADRC is omitted, and the extended state observer (ESO) and nonlinear state error feedback (NLSEF) are linearized and transformed into Linear Extended Star Observer (LESO) and linear state error feedback (LSEF). Among them, ESO is used to observe the output of the system and estimate its existence of disturbances. NLSEF is used to receive the results of ESO observations, control system errors, and compensate for disturbances. LESO is an observer used in control systems, whose core function is to estimate the system state, especially in situations where the system state is difficult to measure directly. The design purpose of LESO is to quickly and accurately observe unknown disturbances and states in the system, and it plays an important role in active disturbance rejection control (ADRC) technology. Taking second-order LADRC as an example, its structure is shown in Figure 4 .

Figure 4 . Second order LADRC.

When the PGS of NEVs is considered as a second-order controlled object, the differential equation y ¨ = − a 1 y ˙ − a 2 y + w + b u can be obtained. In this equation, u and y represent the inputs and outputs of the controlled object in the system. w represents the external disturbance of the system. a 1 and a 2 both are system parameters. b represents the system gain parameter. This experiment guarantees b ≈ b 0 and considers b 0 as the nominal value of b . Assuming x 2 = y ˙ , x 1 = y , the system’s total disturbance can be obtained as x 3 = f y , y ˙ , w = − a 1 y − a 2 y + w + b − b 0 u . After optimization, the system’s state equation can be obtained, and then the state equation of the Linear Extended Star Observer (LESO) is constructed, as shown in Eq. 7 .

In Eq. 7 , x 1 , x 2 , x 3 represents the state variables of the system. β 1 , β 2 , β 3 represents the gain value of the undetermined observer in the system. z 1 , z 2 , z 3 represents the observation value of observer LESO on the state variable x 1 , x 2 , x 3 . LADRC will feed back the system disturbance estimated by LESO to the controller for compensation; and after compensation, the controlled NEV system can be equivalent to an integral series structure. Since the proportional-derivative controller (PD controller, PD) has zero steady-state error, strong anti-interference ability, and better stability and maximum peak overshoot than the integral controller, the PD controller was used to control the automotive PGS in the experiment. The composition of the differential equation and LSEF that can be obtained is shown in Eq. 8 .

In Eq. 8 , k p and k d both represent the proportional and differential coefficients of the PD controller, and both parameters are to be quantified. ω c represents the controller bandwidth. ξ represents the damping ratio. During the operation of NEVs, their PGS is considered as a second-order controlled object, while LESO is a third-order controlled object. The characteristic equation of the third-order LESO and the expression of the gain value of the system’s undetermined observer can be obtained through synthesis, as shown in Eq. 9 .

In Eq. 9 , s represents a complex frequency domain operator. ω 0 represents the observer bandwidth. To lift the dynamic response capability of power output and maintain the stability of system frequency, this experiment then introduces the second-order linear active disturbance rejection control algorithm (SO-LADRC) in the AP frequency link. Before introducing LADRC, the AP frequency loop control of VSG is Figure 5 .

Figure 5 . VSG active frequency loop control process.

In Figure 5 , K f is the frequency droop coefficient, which is used to obtain the primary frequency modulation power based on the deviation between the VSG output AF and the rated AF. D p is responsible for providing damping for the system, and low-pass filter (LPF) is the output power feedback first-order low-pass filtering link. Using the process in Figure 5 to improve the VSG control system can effectively respond to the response and stability of the power grid’s dynamic changes. The closed-loop transfer function of the AP-frequency loop can be obtained through Figure 5 . After performing the inverse Laplace transform, the total disturbance calculation of d 2 ω d t 2 and the system can be obtained, as shown in Eq. 10 .

In Eq. 10 , τ p represents the time constant of LPF. ω n represents input. ω represents the integrated series controlled object of the output. It is very consistent with the control form of LADRC and can be combined with VSG. In summary, the designed VSG control structure based on LADRC is Figure 6 .

Figure 6 . VSG control based on LADRC.

In summary, the transfer function of z 1 , z 2 , z 3 and the composition of LSEF can be obtained. By combining the two, the transfer function of the control input U s of the controlled NEVs can be obtained. The calculation is Eq. 11 .

In Eq. 11 , V s represents the reference input of ADRC. Y s represents the specific form of the output of the controlled object in the complex frequency domain. Then, it is combined with the control input of the controlled NEVs, and the system output AP P o u t and the set value of AP P * are obtained. Furthermore, the closed-loop transfer function from the given VSG’s AF value to the VSG output AF can be obtained, as displayed in Eq. 12 .

In Eq. 12 , a 1 ∼ a 6 represents the coefficients. The final verification of the stability of the control system for NEVs can be based on the Lienard Chipard stability criteria. This standard is applied to the control strategy of the design. Since a 1 ∼ a 6 is all positive, the stability of NEVs PGSs can be evaluated using odd order Herwitz determinant. The calculation of parameters is Eq. 13 .

Eq. 13 constrains ω 0 and ω c in terms of stability and can serve as a reference for adjusting these two parameters. In addition, simulation software is utilized for numerical analysis of the stability of new energy generation systems.

4 Performance testing and application effects of the IC-NEVsPG system

With the rapid growth of NEVs worldwide, the operation of their PGSs has become an undeniable topic. Especially in terms of power grid stability and energy efficiency, the control technology of NEVs PGSs is particularly important. Therefore, this experiment aims to explore the practical effects and potential advantages of improving VSG technology in NEVs through comprehensive performance testing and practical application case analysis.

4.1 Performance testing of IC-NEVsPG system

To test and analyze the proposed control strategy, a model of an AC-DC hybrid micro-grid containing electric vehicles is built using PSCAD/EMTDC software, as shown in Figure 7 .

Figure 7 . Testing of AC/DC hybrid power grid.

In Figure 7 , in the test system, the AC power supply is equivalent to a synchronous motor, and the DC power supply is equivalent to a controllable voltage source. Energy conversion is realized on both sides of AC and DC through two VSG connections, and a certain amount of load is connected. The electric vehicle is connected to the DC bus through a bidirectional DC/DC converter. Table 1 shows the PGS parameters.

Table 1 . Partial parameters of new energy generation system.

Based on the above experimental setup, ignoring the impact of NEVs access, load fluctuation testing of the PGS is started. When the time is 3s, the load of the system is suddenly increased by 10 kW. The entire process of frequency variation during system load fluctuations during this process is Figure 8 .

Figure 8 . AC bus frequency.

The variation of the curve in Figure 8 shows that the frequency of the system begins to slowly decrease during load fluctuations, and it can overcome the shortcomings of inertia in traditional control strategies during power generation, effectively enhancing the frequency stability. Under the virtual inertial control strategy, NEVs can give voltage support for the DC power grid. This support can be controlled by adjusting the value of the virtual inertia coefficient (VIC). Different coefficients have different effects on the voltage response of the system when the load suddenly changes. When the load of 10 kW is suddenly increased for 3s, the changes in DC bus voltage (DC-BV) and NEVs power can be obtained as shown in Figure 9 .

Figure 9 . Changes in DC-BV and NEVs power. (A) Changes in DC bus voltage (B) Changes in the power of new energy vehicles.

The three waveforms in Figure 9A show the changes in DC-BV under the conditions of VICs of 0, 5, and 20, respectively. The three waveforms in Figure 9B represent the changes in power of NEVs. In waveform A, when the VIC is 0, under the droop control, the DC-BV will rapidly decrease when the load suddenly increases, and NEVs will hardly intervene in the regulation of the grid voltage. In waveform B, after introducing the VIC K = 5, the decrease rate of the DC-BV of NEVs slows down, indicating that NEVs will increase the power output of the grid when the load suddenly increases. Waveform C further shows that increasing the VIC can improve the output of NEVs to the grid power during sudden load increases, making the decrease rate of DC-BV slower. The above results indicate that under virtual inertial control, NEVs can effectively provide voltage support for the DC network of micro-grids. By adjusting the VIC, the degree to which NEVs participate in voltage support can be controlled. However, when the VIC exceeds a certain limit value, virtual inertia control may cause system instability, so it is necessary to choose an appropriate VIC.

To test the effectiveness of the virtual inertia control strategy, this experiment selects the DC micro-grid voltage regulation method based on fractional order virtual inertia method (VRM-DC), the electric vehicle V2G technology based on inverter and optimal non integer model virtual inertia control (OAIM-VIC), and the constructed LADRC-VSG method for load fluctuation comparison ( Khooban, 2020 ; Long et al., 2022 ). The above three methods are respectively referred to as strategies A, B, and C. Similarly, when the time is 3 s, the load of the system is suddenly increased by 10 kW. When the time is 4 s, the load begins to return to normal. The obtained load test results are shown in Figure 10 .

Figure 10 . Changes in DC-BV and VIC. (A) Changes in DC bus voltage (B) Comparison of virtual inertia coefficient.

Figure 10A, B show the changes in DC-BV and VIC under different strategy operations. Analyzing the changes in waveform A in Figure 10 , under the VRM-DC strategy, when the value of the VIC is very small or close to 0, the voltage drop rate of the DC network is faster. The inertia of DC voltage is small, and NEVs are hardly involved in voltage regulation. Under the OAIM-VIC strategy, the VIC will change according to the specific fluctuation of the grid voltage, allowing NEVs to participate in the regulation of the grid voltage. Waveform B represents the dynamic response change of the DC-BV. The speed of the decrease in DC-BV is significantly slowed down, and the stability of the voltage is significantly improved. In waveform C, the LADRC-VSG method can not only slow down voltage fluctuations, but also accelerate recovery speed and improve voltage stability. The above analysis indicates that adjusting the VIC appropriately can slow down voltage fluctuations while maintaining recovery speed, thereby enhancing the stability of the DC network.

4.2 Simulation results of grid connection modes for different virtual inertial control strategies

The correctness of the proposed NEVs power generation strategy is verified and simulated in MATLAB R2020b/Simulink environment. The experiment is carried out with a NEV as the research object, and ANOVA test is used to select the test. At the beginning of the experiment, NEVs are connected to the grid with an AP of -4kW, achieving single power factor charging. When the time reaches 0.6s, the AP setting of NEVs is adjusted to 4kW, and it is converted to discharge to the grid at a unit power factor. By monitoring the frequency fluctuations and power output changes of the grid connection points in the monitoring system, simulation results are exhibited in Figure 11 .

Figure 11 . Frequency and AP output of grid connection points. (A) Grid connection point frequency (B) Active power output.

Figure 11A shows the frequency variation of NEVs at the grid connection point. The comparison of different VSG control strategies shows that the frequency fluctuations at the grid connection points of VRM-DC, OAIM-VIC, and LADRC-VSG are 0.18Hz, 0.14Hz, and 0.08Hz, respectively. Compared to VRM-DC and OAIM-VIC, LADRC-VSG significantly reduces the frequency of grid connection by 55% and 43%. Figure 11B shows the output variation of AP of NEVs. When given a change in AP, the dynamic process of VRM-DC’s grid connected output power lasts for 0.33 s. Under the control of OAIM-VIC and LADRC-VSG, the dynamic process of grid connected output power lasts for 0.22 s and 0.16 s, respectively. The comparison shows that the LADRC-VSG strategy has significant advantages in terms of disturbance resistance and dynamic performance. Then, under the initial conditions, the system load is set to 12kW, which means the initial given AP P * of NEVs is 12 kW. When the time is 0.7 s, the load of the system suddenly decreases to 4 kW, and the variation of the output frequency and AP of the simulated system is Figure 12 .

Figure 12 . Simulation results in island mode. (A) VSG output frequency (B) VSG output active frequency.

Figure 12A shows the VSG output power. Under VRM-DC control, the fluctuation of system output frequency caused by load changes ultimately increases by 0.2 Hz and tends to stabilize. When using OAIM-VIC control, the frequency fluctuation increases by 0.18 Hz and then returns to the rated frequency of 50 Hz. Under LADRC-VSG, the frequency fluctuation only increases by 0.09 Hz to restore to the rated frequency of 50 Hz. In Figure 12B ), after a sudden load change under three control strategies, the output AP of the system decreases from 12 kW to 4 kW. However, under LADRC-VSG, the duration of the dynamic process of system output power is the shortest, only 0.05 s. Under VRM-DC control and OAIM-VIC control, the duration is 0.1 s and 0.08 s, respectively. This indicates that the LADRC-VSG strategy performs better in terms of dynamic performance and frequency regulation ability.

Based on the above results, compared to the VRM-DC control proposed in reference ( Long et al., 2022 ) and the OAIM-VIC control strategy proposed in reference ( Khooban, 2020 ), the LADRC-VSG strategy has very superior performance in improving new energy electric vehicles. To emphasize the superiority of the research method, the performance results of the three methods are compared. The results are shown in Table 2 .

Table 2 . Comparison results.

5 Conclusion

The widespread application of NEVs PGSs has led to a series of problems such as inertia loss in automotive PGSs, and has brought adverse effects on the stable operation of the system. Therefore, this study proposed an IC-NEVsPG strategy that integrates LADRC and VSG. Firstly, an analysis was conducted on the VSG strategy, followed by the improvement of VSG using LADRC technology, which was jointly applied to the inertial control of NEVs PGSs. The results showed that adjusting the VIC appropriately could control the degree to which NEVs participate in voltage support. Under the LADRC-VSG strategy, voltage fluctuations could be effectively reduced and recovery speed could be accelerated. The changes in the frequency of NEVs at the grid connection point showed that the frequency fluctuations of VRM-DC and OAIM-VIC strategies at the grid connection point were 0.18 Hz and 0.14 Hz, respectively. The frequency fluctuation of the grid connection point under LADRC-VSG operation was 0.08 Hz. In the comparison of AP, under the control of VRM-DC, OAIM-VIC, and LADRC-VSG strategies, the dynamic process of grid connected output power lasted for 0.33 s, 0.22 s, and 0.16 s, respectively. The above data all indicate that the LADRC-VSG strategy not only provides new theoretical and technical support for the effective integration of the power grid and NEVs, but also provides practical guidance for further improving the stability and reliability of smart grids. In the future, the charging and discharging of electric vehicles will become more large-scale and orderly with the construction of large-scale charging stations, the unification of electric vehicle battery standards, and the gradual adoption of battery replacement charging methods. This will enable electric vehicles to participate in the frequency and voltage regulation of the power grid. The ability will be stronger, and the proposed control strategy will be more practical and economical. However, the experiment was analyzed and tested solely through the constructed simulation model, without any physical tests being conducted. Additionally, due to time constraints and lack of experimental conditions, only the effectiveness of the improved VSG electric vehicle charge and discharge control method was verified. This experiment failed to further verify the control effect of multiple electric vehicles participating in charging and discharging.

Data availability statement

The original contributions presented in the study are included in the article/supplementary material, further inquiries can be directed to the corresponding author.

Author contributions

MD: Data curation, Writing–original draft. HM: Conceptualization, Methodology, Writing–review and editing.

The author(s) declare that no financial support was received for the research, authorship, and/or publication of this article.

Conflict of interest

HM was employed by the China Automotive Technology and Research Center Co., Ltd.

The remaining author declares that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Publisher’s note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

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Keywords: virtual synchronous generator, inertia, new energy, automobile power generation, control system, smart grid, stability

Citation: Du M and Mei H (2024) The application of virtual synchronous generator technology in inertial control of new energy vehicle power generation. Front. Mech. Eng 10:1382664. doi: 10.3389/fmech.2024.1382664

Received: 06 February 2024; Accepted: 22 March 2024; Published: 10 April 2024.

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Copyright © 2024 Du and Mei. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Hailong Mei, [email protected]

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In conclusion, the research introduces REASONEVAL, an effective metric for assessing reasoning step quality based on correctness and efficiency. Experimentation confirms its ability to identify diverse errors and competitive performance compared to existing methods. REASONEVAL exposes inconsistencies between final-answer accuracy and reasoning step quality while also proving effective in data selection for training.

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Introduction: With the rapid development of human society and economy, the power generation technology of various new energy vehicles has begun to receive widespread attention.Methods: Due to the lack of inertia and frequency stability in the new energy vehicle power generation system, this paper proposes a power generation control method that combines linear active disturbance rejection ...
Sustainability
The environmental, social and governance (ESG) performance of construction enterprises still needs to be improved. Therefore, in order to better utilize resources effectively to improve enterprise ESG performance, this paper explores the configuration paths for Chinese construction enterprises to improve their ESG performance using the (fuzzy set qualitative comparative analysis) fsQCA method.
This AI Paper Introduces ReasonEval: A New Machine Learning Method to
Mathematical reasoning is vital for problem-solving and decision-making, particularly in large language models (LLMs). Evaluating LLMs' mathematical reasoning usually focuses on the final result rather than the reasoning process intricacies. Current methodologies, like the OpenLLM leaderboard, primarily use overall accuracy, potentially overlooking logical errors or inefficient steps. Enhanced ...

How to Write a Research Paper Introduction (with Examples)

Table of Contents

What are the parts of introduction in the research?

How to write a research paper introduction?

Write a Research Paper Introduction in Minutes with Paperpal

How to use Paperpal to write the Introduction section

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How to Start a Methods Section in Research? [with Examples]

Examples of how to start writing the Methods section

1. Start by mentioning the approvals acquired to conduct the study

2. Start by mentioning the study design

3. Start by mentioning the date, duration, and place of the study

4. Start by mentioning the source of the data

5. Start by mentioning the sample size

6. Start by justifying the use of the main material or method

Common words used to start a Methods section

Further reading

How to Write a Methods Section for a Research Paper

Not just a list of experiments and methods

More Journal Guidelines to Consider

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Sample size and power estimation

Ethical guidelines and approval

Structure & word limitations

Standardized checklists

Accurate and Appropriate Language in the Methods Section

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What to Include in a Method Section

Components of a Method Section

Participants

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A Word From Verywell

Frequently Asked Questions

Introduction, Methods and Results

Materials and Methods

How to write an effective introduction for your research paper

Dissecting examples: what works and why

Common pitfalls to avoid in research paper introductions

Step 1: Capturing interest and setting the scene

Step 2: Building a solid foundation with background information

Step 3: Pinpointing the research challenge

Step 4: Clarifying your research aims and objectives

Step 5: Sketching the blueprint of your study

Step 6: Integrating your research question

Step 7: Establishing the scope and limitations

Step 8: Concluding the introduction with a promise

Set the right tone and style

Kno w the audience

Adopt the CARS (create a research space) model

Master the art of funneling

Incorporate narrative element

Write the introduction last

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Muhammad Hassan