Research methodology vs. research methods
The research methodology or design is the overall strategy and rationale that you used to carry out the research. Whereas, research methods are the specific tools and processes you use to gather and understand the data you need to test your hypothesis.
To further understand research methodology, let’s explore some examples of research methodology:
a. Qualitative research methodology example: A study exploring the impact of author branding on author popularity might utilize in-depth interviews to gather personal experiences and perspectives.
b. Quantitative research methodology example: A research project investigating the effects of a book promotion technique on book sales could employ a statistical analysis of profit margins and sales before and after the implementation of the method.
c. Mixed-Methods research methodology example: A study examining the relationship between social media use and academic performance might combine both qualitative and quantitative approaches. It could include surveys to quantitatively assess the frequency of social media usage and its correlation with grades, alongside focus groups or interviews to qualitatively explore students’ perceptions and experiences regarding how social media affects their study habits and academic engagement.
These examples highlight the meaning of methodology in research and how it guides the research process, from data collection to analysis, ensuring the study’s objectives are met efficiently.
When it comes to writing your study, the methodology in research papers or a dissertation plays a pivotal role. A well-crafted methodology section of a research paper or thesis not only enhances the credibility of your research but also provides a roadmap for others to replicate or build upon your work.
Wondering how to write the research methodology section? Follow these steps to create a strong methods chapter:
At the start of a research paper , you would have provided the background of your research and stated your hypothesis or research problem. In this section, you will elaborate on your research strategy.
Begin by restating your research question and proceed to explain what type of research you opted for to test it. Depending on your research, here are some questions you can consider:
a. Did you use qualitative or quantitative data to test the hypothesis?
b. Did you perform an experiment where you collected data or are you writing a dissertation that is descriptive/theoretical without data collection?
c. Did you use primary data that you collected or analyze secondary research data or existing data as part of your study?
These questions will help you establish the rationale for your study on a broader level, which you will follow by elaborating on the specific methods you used to collect and understand your data.
Now that you have told your reader what type of research you’ve undertaken for the dissertation, it’s time to dig into specifics. State what specific methods you used and explain the conditions and variables involved. Explain what the theoretical framework behind the method was, what samples you used for testing it, and what tools and materials you used to collect the data.
Once you have explained the data collection process, explain how you analyzed and studied the data. Here, your focus is simply to explain the methods of analysis rather than the results of the study.
Here are some questions you can answer at this stage:
a. What tools or software did you use to analyze your results?
b. What parameters or variables did you consider while understanding and studying the data you’ve collected?
c. Was your analysis based on a theoretical framework?
Your mode of analysis will change depending on whether you used a quantitative or qualitative research methodology in your study. If you’re working within the hard sciences or physical sciences, you are likely to use a quantitative research methodology (relying on numbers and hard data). If you’re doing a qualitative study, in the social sciences or humanities, your analysis may rely on understanding language and socio-political contexts around your topic. This is why it’s important to establish what kind of study you’re undertaking at the onset.
Now that you have gone through your research process in detail, you’ll also have to make a case for it. Justify your choice of methodology and methods, explaining why it is the best choice for your research question. This is especially important if you have chosen an unconventional approach or you’ve simply chosen to study an existing research problem from a different perspective. Compare it with other methodologies, especially ones attempted by previous researchers, and discuss what contributions using your methodology makes.
No matter how thorough a methodology is, it doesn’t come without its hurdles. This is a natural part of scientific research that is important to document so that your peers and future researchers are aware of it. Writing in a research paper about this aspect of your research process also tells your evaluator that you have actively worked to overcome the pitfalls that came your way and you have refined the research process.
1. Remember who you are writing for. Keeping sight of the reader/evaluator will help you know what to elaborate on and what information they are already likely to have. You’re condensing months’ work of research in just a few pages, so you should omit basic definitions and information about general phenomena people already know.
2. Do not give an overly elaborate explanation of every single condition in your study.
3. Skip details and findings irrelevant to the results.
4. Cite references that back your claim and choice of methodology.
5. Consistently emphasize the relationship between your research question and the methodology you adopted to study it.
To sum it up, what is methodology in research? It’s the blueprint of your research, essential for ensuring that your study is systematic, rigorous, and credible. Whether your focus is on qualitative research methodology, quantitative research methodology, or a combination of both, understanding and clearly defining your methodology is key to the success of your research.
Once you write the research methodology and complete writing the entire research paper, the next step is to edit your paper. As experts in research paper editing and proofreading services , we’d love to help you perfect your paper!
Here are some other articles that you might find useful:
What does research methodology mean, what types of research methodologies are there, what is qualitative research methodology, how to determine sample size in research methodology, what is action research methodology.
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This is very simplified and direct. Very helpful to understand the research methodology section of a dissertation
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Home » Research Methodology – Types, Examples and writing Guide
Table of Contents
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.
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
II. Research Design
III. Data Collection Methods
IV. Data Analysis Methods
V. Ethical Considerations
VI. Limitations
VII. Conclusion
Types of Research Methodology are as follows:
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.
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.
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.
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.
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.
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.
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.
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.
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.
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:
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.
Here are some of the applications of research methodology:
Research methodology serves several important purposes, including:
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:
Research Methodology | Research Methods |
---|---|
Research methodology refers to the philosophical and theoretical frameworks that guide the research process. | refer to the techniques and procedures used to collect and analyze data. |
It is concerned with the underlying principles and assumptions of research. | It is concerned with the practical aspects of research. |
It provides a rationale for why certain research methods are used. | It determines the specific steps that will be taken to conduct research. |
It is broader in scope and involves understanding the overall approach to research. | It is narrower in scope and focuses on specific techniques and tools used in research. |
It is concerned with identifying research questions, defining the research problem, and formulating hypotheses. | It is concerned with collecting data, analyzing data, and interpreting results. |
It is concerned with the validity and reliability of research. | It is concerned with the accuracy and precision of data. |
It is concerned with the ethical considerations of research. | It is concerned with the practical considerations of research. |
Researcher, Academic Writer, Web developer
Dissertations 4: methodology: methods.
When describing your research methods, you can start by stating what kind of secondary and, if applicable, primary sources you used in your research. Explain why you chose such sources, how well they served your research, and identify possible issues encountered using these sources.
Definitions
There is some confusion on the use of the terms primary and secondary sources, and primary and secondary data. The confusion is also due to disciplinary differences (Lombard 2010). Whilst you are advised to consult the research methods literature in your field, we can generalise as follows:
Secondary sources
Secondary sources normally include the literature (books and articles) with the experts' findings, analysis and discussions on a certain topic (Cottrell, 2014, p123). Secondary sources often interpret primary sources.
Primary sources
Primary sources are "first-hand" information such as raw data, statistics, interviews, surveys, law statutes and law cases. Even literary texts, pictures and films can be primary sources if they are the object of research (rather than, for example, documentaries reporting on something else, in which case they would be secondary sources). The distinction between primary and secondary sources sometimes lies on the use you make of them (Cottrell, 2014, p123).
Primary data
Primary data are data (primary sources) you directly obtained through your empirical work (Saunders, Lewis and Thornhill 2015, p316).
Secondary data
Secondary data are data (primary sources) that were originally collected by someone else (Saunders, Lewis and Thornhill 2015, p316).
Comparison between primary and secondary data
Primary data | Secondary data |
Data collected directly | Data collected from previously done research, existing research is summarised and collated to enhance the overall effectiveness of the research. |
Examples: Interviews (face-to-face or telephonic), Online surveys, Focus groups and Observations | Examples: data available via the internet, non-government and government agencies, public libraries, educational institutions, commercial/business information |
Advantages: •Data collected is first hand and accurate. •Data collected can be controlled. No dilution of data. •Research method can be customized to suit personal requirements and needs of the research. | Advantages: •Information is readily available •Less expensive and less time-consuming •Quicker to conduct |
Disadvantages: •Can be quite extensive to conduct, requiring a lot of time and resources •Sometimes one primary research method is not enough; therefore a mixed method is require, which can be even more time consuming. | Disadvantages: •It is necessary to check the credibility of the data •May not be as up to date •Success of your research depends on the quality of research previously conducted by others. |
Use
Virtually all research will use secondary sources, at least as background information.
Often, especially at the postgraduate level, it will also use primary sources - secondary and/or primary data. The engagement with primary sources is generally appreciated, as less reliant on others' interpretations, and closer to 'facts'.
The use of primary data, as opposed to secondary data, demonstrates the researcher's effort to do empirical work and find evidence to answer her specific research question and fulfill her specific research objectives. Thus, primary data contribute to the originality of the research.
Ultimately, you should state in this section of the methodology:
What sources and data you are using and why (how are they going to help you answer the research question and/or test the hypothesis.
If using primary data, why you employed certain strategies to collect them.
What the advantages and disadvantages of your strategies to collect the data (also refer to the research in you field and research methods literature).
The methodology chapter should reference your use of quantitative research, qualitative research and/or mixed methods. The following is a description of each along with their advantages and disadvantages.
Quantitative research
Quantitative research uses numerical data (quantities) deriving, for example, from experiments, closed questions in surveys, questionnaires, structured interviews or published data sets (Cottrell, 2014, p93). It normally processes and analyses this data using quantitative analysis techniques like tables, graphs and statistics to explore, present and examine relationships and trends within the data (Saunders, Lewis and Thornhill, 2015, p496).
Advantages | Disadvantages |
The study can be undertaken on a broader scale, generating large amounts of data that contribute to generalisation of results | Quantitative methods can be difficult, expensive and time consuming (especially if using primary data, rather than secondary data). |
Suitable when the phenomenon is relatively simple, and can be analysed according to identified variables. | Not everything can be easily measured. |
| Less suitable for complex social phenomena. |
| Less suitable for why type questions. |
Qualitative research
Qualitative research is generally undertaken to study human behaviour and psyche. It uses methods like in-depth case studies, open-ended survey questions, unstructured interviews, focus groups, or unstructured observations (Cottrell, 2014, p93). The nature of the data is subjective, and also the analysis of the researcher involves a degree of subjective interpretation. Subjectivity can be controlled for in the research design, or has to be acknowledged as a feature of the research. Subject-specific books on (qualitative) research methods offer guidance on such research designs.
Advantages | Disadvantages |
Qualitative methods are good for in-depth analysis of individual people, businesses, organisations, events. | The findings can be accurate about the particular case, but not generally applicable. |
Sample sizes don’t need to be large, so the studies can be cheaper and simpler. | More prone to subjectivity. |
Mixed methods
Mixed-method approaches combine both qualitative and quantitative methods, and therefore combine the strengths of both types of research. Mixed methods have gained popularity in recent years.
When undertaking mixed-methods research you can collect the qualitative and quantitative data either concurrently or sequentially. If sequentially, you can for example, start with a few semi-structured interviews, providing qualitative insights, and then design a questionnaire to obtain quantitative evidence that your qualitative findings can also apply to a wider population (Specht, 2019, p138).
Ultimately, your methodology chapter should state:
Whether you used quantitative research, qualitative research or mixed methods.
Why you chose such methods (and refer to research method sources).
Why you rejected other methods.
How well the method served your research.
The problems or limitations you encountered.
Doug Specht, Senior Lecturer at the Westminster School of Media and Communication, explains mixed methods research in the following video:
The video covers the characteristics of quantitative research, and explains how to approach different parts of the research process, such as creating a solid research question and developing a literature review. He goes over the elements of a study, explains how to collect and analyze data, and shows how to present your data in written and numeric form.
Link to quantitative research video
There are several methods you can use to get primary data. To reiterate, the choice of the methods should depend on your research question/hypothesis.
Whatever methods you will use, you will need to consider:
why did you choose one technique over another? What were the advantages and disadvantages of the technique you chose?
what was the size of your sample? Who made up your sample? How did you select your sample population? Why did you choose that particular sampling strategy?)
ethical considerations (see also tab...)
safety considerations
validity
feasibility
recording
procedure of the research (see box procedural method...).
Check Stella Cottrell's book Dissertations and Project Reports: A Step by Step Guide for some succinct yet comprehensive information on most methods (the following account draws mostly on her work). Check a research methods book in your discipline for more specific guidance.
Experiments
Experiments are useful to investigate cause and effect, when the variables can be tightly controlled. They can test a theory or hypothesis in controlled conditions. Experiments do not prove or disprove an hypothesis, instead they support or not support an hypothesis. When using the empirical and inductive method it is not possible to achieve conclusive results. The results may only be valid until falsified by other experiments and observations.
For more information on Scientific Method, click here .
Observations
Observational methods are useful for in-depth analyses of behaviours in people, animals, organisations, events or phenomena. They can test a theory or products in real life or simulated settings. They generally a qualitative research method.
Questionnaires and surveys
Questionnaires and surveys are useful to gain opinions, attitudes, preferences, understandings on certain matters. They can provide quantitative data that can be collated systematically; qualitative data, if they include opportunities for open-ended responses; or both qualitative and quantitative elements.
Interviews
Interviews are useful to gain rich, qualitative information about individuals' experiences, attitudes or perspectives. With interviews you can follow up immediately on responses for clarification or further details. There are three main types of interviews: structured (following a strict pattern of questions, which expect short answers), semi-structured (following a list of questions, with the opportunity to follow up the answers with improvised questions), and unstructured (following a short list of broad questions, where the respondent can lead more the conversation) (Specht, 2019, p142).
This short video on qualitative interviews discusses best practices and covers qualitative interview design, preparation and data collection methods.
Focus groups
In this case, a group of people (normally, 4-12) is gathered for an interview where the interviewer asks questions to such group of participants. Group interactions and discussions can be highly productive, but the researcher has to beware of the group effect, whereby certain participants and views dominate the interview (Saunders, Lewis and Thornhill 2015, p419). The researcher can try to minimise this by encouraging involvement of all participants and promoting a multiplicity of views.
This video focuses on strategies for conducting research using focus groups.
Check out the guidance on online focus groups by Aliaksandr Herasimenka, which is attached at the bottom of this text box.
Case study
Case studies are often a convenient way to narrow the focus of your research by studying how a theory or literature fares with regard to a specific person, group, organisation, event or other type of entity or phenomenon you identify. Case studies can be researched using other methods, including those described in this section. Case studies give in-depth insights on the particular reality that has been examined, but may not be representative of what happens in general, they may not be generalisable, and may not be relevant to other contexts. These limitations have to be acknowledged by the researcher.
Content analysis
Content analysis consists in the study of words or images within a text. In its broad definition, texts include books, articles, essays, historical documents, speeches, conversations, advertising, interviews, social media posts, films, theatre, paintings or other visuals. Content analysis can be quantitative (e.g. word frequency) or qualitative (e.g. analysing intention and implications of the communication). It can detect propaganda, identify intentions of writers, and can see differences in types of communication (Specht, 2019, p146). Check this page on collecting, cleaning and visualising Twitter data.
Extra links and resources:
Research Methods
A clear and comprehensive overview of research methods by Emerald Publishing. It includes: crowdsourcing as a research tool; mixed methods research; case study; discourse analysis; ground theory; repertory grid; ethnographic method and participant observation; interviews; focus group; action research; analysis of qualitative data; survey design; questionnaires; statistics; experiments; empirical research; literature review; secondary data and archival materials; data collection.
Doing your dissertation during the COVID-19 pandemic
Resources providing guidance on doing dissertation research during the pandemic: Online research methods; Secondary data sources; Webinars, conferences and podcasts;
The following are a series of useful videos that introduce research methods in five minutes. These resources have been produced by lecturers and students with the University of Westminster's School of Media and Communication.
Case Study Research
Research Ethics
Quantitative Content Analysis
Sequential Analysis
Qualitative Content Analysis
Thematic Analysis
Social Media Research
Mixed Method Research
In this part, provide an accurate, detailed account of the methods and procedures that were used in the study or the experiment (if applicable!).
Include specifics about participants, sample, materials, design and methods.
If the research involves human subjects, then include a detailed description of who and how many participated along with how the participants were selected.
Describe all materials used for the study, including equipment, written materials and testing instruments.
Identify the study's design and any variables or controls employed.
Write out the steps in the order that they were completed.
Indicate what participants were asked to do, how measurements were taken and any calculations made to raw data collected.
Specify statistical techniques applied to the data to reach your conclusions.
Provide evidence that you incorporated rigor into your research. This is the quality of being thorough and accurate and considers the logic behind your research design.
Highlight any drawbacks that may have limited your ability to conduct your research thoroughly.
You have to provide details to allow others to replicate the experiment and/or verify the data, to test the validity of the research.
Cottrell, S. (2014). Dissertations and project reports: a step by step guide. Hampshire, England: Palgrave Macmillan.
Lombard, E. (2010). Primary and secondary sources. The Journal of Academic Librarianship , 36(3), 250-253
Saunders, M.N.K., Lewis, P. and Thornhill, A. (2015). Research Methods for Business Students. New York: Pearson Education.
Specht, D. (2019). The Media And Communications Study Skills Student Guide . London: University of Westminster Press.
The methodology chapter precisely outlines the research method(s) employed in your dissertation and considers any relevant decisions you made, and challenges faced, when conducting your research. Getting this right is crucial because it lays the foundation for what’s to come: your results and discussion.
Please note: this guide is not specific to any one discipline. The methodology can vary depending on the nature of the research and the expectations of the school or department. Please adapt the following advice to meet the demands of your dissertation and the expectations of your school or department. Consult your supervisor for further guidance; you can also check out our Writing Across Subjects guide .
As part of the Writing the Dissertation series, this guide covers the most common conventions found in a methodology chapter, giving you the necessary knowledge, tips and guidance needed to impress your markers! The sections are organised as follows:
The methodology of a dissertation is like constructing a house of cards. Having strong and stable foundations for your research relies on your ability to make informed and rational choices about the design of your study. Everything from this point on – your results and discussion – rests on these decisions, like the bottom layer of a house of cards.
The methodology is where you explicitly state, in relevant detail, how you conducted your study in direct response to your research question(s) and/or hypotheses. You should work through the linear process of devising your study to implementing it, covering the important choices you made and any potential obstacles you faced along the way.
Some disciplines refer to this chapter as the research methods , whilst others call it the methodology . The two are often used interchangeably, but they are slightly different:
This guide focuses on the methodology, as opposed to the methods, although the content and guidance can be tailored to a methods chapter. Every dissertation is different and every methodology has its own nuances, so ensure you adapt the content here to your research and always consult your supervisor for more detailed guidance.
Your markers are looking for your understanding of the complex process behind original (see definition) research. They are assessing your ability to...
But what does it mean to engage in 'original' research? Originality doesn’t strictly mean you should be inventing something entirely new. Originality comes in many forms, from updating the application of a theory, to adapting a previous experiment for new purposes – it’s about making a worthwhile contribution.
The methodology chapter should outline the research process undertaken, from selecting the method to articulating the tool or approach adopted to analyse your results. Because you are outlining this process, it's important that you structure your methodology in a linear way, showing how certain decisions have impacted on subsequent choices.
Scroll to continue reading, or click a link below to jump immediately to that section:
To ensure you write your methodology in a linear way, it can be useful to think of the methodology in terms of layers, as shown in the figure below.
Figure: 'Research onion' from Saunders et al. (2007).
You don't need to precisely follow these exact layers as some won't be relevant to your research. However, the layered 'out to in' structure developed by Saunders et al. (2007) is appropriate for any methodology chapter because it guides your reader through the process in a linear fashion, demonstrating how certain decisions impacted on others. For example, you need to state whether your research is qualitative, quantitative or mixed before articulating your precise research method. Likewise, you need to explain how you collected your data before you inform the reader of how you subsequently analysed that data.
Using this linear approach from 'outer' layer to 'inner' layer, the next sections will take you through the most common layers used to structure a methodology chapter.
Like any chapter, you should open your methodology with an introduction. It's good to start by briefly restating the research problem, or gap, that you're addressing, along with your research question(s) and/or hypotheses. Following this, it's common to provide a very condensed statement that outlines the most important elements of your research design. Here's a short example:
This study adopted qualitative research through a series of semi-structured interviews with seven experienced industry professionals.
Like any other introduction, you can then provide a brief statement outlining what the chapter is about and how it's structured (e.g., an essay map ).
Restating the research problem (or gap) and your research question(s) and/or hypotheses creates a natural transition from your previous review of the literature - which helped you to identify the gap or problem - to how you are now going to address such a problem. Your markers are also going to assess the relevance and suitability of your method and methodological choices against your research question(s), so it's good to 'frame' the entire chapter around the research question(s) by bringing them to the fore.
A research philosophy is an underlying belief that shapes the way research is conducted. For this reason, as featured in the 'research onion' above, the philosophy should be the outermost layer - the first methodological issue you deal with following the introduction and research outline - because every subsequent choice, from the method employed to the way you analyse data, is directly influenced by your philosophical stance.
You can say something about other philosophies, but it's best to directly relate this to your research and the philosophy you have selected - why the other philosophy isn't appropriate for you to adopt, for instance. Otherwise, explain to your reader the philosophy you have selected (using secondary literature), its underlying principles, and why this philosophy, therefore, is particularly relevant to your research.
The research philosophy is sometimes featured in a methodology chapter, but not always. It depends on the conventions within your school or discipline , so only include this if it's expected.
The reason for outlining the research philosophy is to show your understanding of the role that your chosen philosophy plays in shaping the design and approach of your research study. The philosophy you adopt also indicates your worldview (in the context of this research), which is an important way of highlighting the role you, the researcher, play in shaping new knowledge.
This is where you state whether you're doing qualitative, quantitative or mixed-methods research before outlining the exact instrument or strategy (see definition) adopted for research (interviews, case study, etc.). It's also important that you explain why you have chosen that particular method and strategy. You can also explain why you're not adopting an alternate form of research, or why you haven't used a particular instrument, but keep this brief and use it to reinforce why you have chosen your method and strategy.
Your research method, more than anything else, is going to directly influence how effectively you answer your research question(s). For that reason, it's crucial that you emphasise the suitability of your chosen method and instrument for the purposes of your research.
The data collection part of your methodology explain the process of how you accessed and collected your data. Using an interview as a qualitative example, this might include the criteria for selecting participants, how you recruited the participants and how and where you conducted the interviews. There is often some overlap with data collection and research method, so don't worry about this. Just make sure you get the essential information across to your reader.
The details of how you accessed and collected your data are important for replicability purposes - the ability for someone to adopt the same approach and repeat the study. It's also important to include this information for reliability and consistency purposes (see validity and reliability on the next tab of this guide for more).
After describing how you collected the data, you need to identify your chosen method of data analysis. Inevitably, this will vary depending on whether your research is qualitative or quantitative (see note below).
Qualitative research tends to be narrative-based where forms of ‘coding’ are employed to categorise and group the data into meaningful themes and patterns (Bui, 2014). Quantitative deals with numerical data meaning some form of statistical approach is taken to measure the results against the research question(s).
Tell your reader which data analysis software (such as SPSS or Atlast.ti) or method you’ve used and why, using relevant literature. Again, you can mention other data analysis tools that you haven’t used, but keep this brief and relate it to your discussion of your chosen approach. This isn’t to be confused with the results and discussion chapters where you actually state and then analyse your results. This is simply a discussion of the approach taken, how you applied this approach to your data and why you opted for this method of data analysis.
Detail of how you analysed your data helps to contextualise your results and discussion chapters. This is also a validity issue (see next tab of guide), as you need to ensure that your chosen method for data analysis helps you to answer your research question(s) and/or respond to your hypotheses. To use an example from Bui (2014: 155), 'if one of the research questions asks whether the participants changed their behaviour before and after the study, then one of the procedures for data analysis needs to be a comparison of the pre- and postdata'.
Validity simply refers to whether the research method(s) and instrument(s) applied are directly suited to meet the purposes of your research – whether they help you to answer your research question(s), or allow you to formulate a response to your hypotheses.
Validity can be separated into two forms: internal and external. The difference between the two is defined by what exists inside the study (internal) and what exists outside the study (external).
Reliability refers to the consistency with which you designed and implemented your research instrument(s). The idea behind this is to ensure that someone else could replicate your study and, by applying the instrument in the exact same way, would achieve the same results. This is crucial to quantitative and scientific based research, but isn’t strictly the case with qualitative research given the subjective nature of the data.
With qualitative data, it’s important to emphasise that data was collected in a consistent way to avoid any distortions. For example, let’s say you’ve circulated a questionnaire to participants. You would want to ensure that every participant receives the exact same questionnaire with precisely the same questions and wording, unless different questionnaires are required for different members of the sample for the purposes of the research.
Any research involving human participants needs to consider ethical factors. In response, you need to show your markers that you have implemented the necessary measures to cover the relevant ethical issues. These are some of the factors that are typically included:
These are only a few examples of the ethical factors you need to write about in your methodology. Depending on the nature of your research, ethical considerations might form a significant part of your methodology chapter, or may only constitute a few sentences. Either way, it’s imperative that you show your markers that you’ve considered the relevant ethical implications of your research.
Don’t make the mistake of ignoring the limitations of your study (see the next tab, 'What to Avoid', for more on this) – it’s a common part of research and should be confronted. Limitations of research can be diverse, but tend to be logistical issues relating to time, scope and access . Whilst accepting that your study has certain limitations, the key is to put a positive spin on it, like the example below:
Despite having a limited sample size compared to other similar studies, the number of participants is enough to provide sufficient data, whilst the in-depth nature of the interviews facilitates detailed responses from participants.
This portion of the guide will cover some common missteps you should try to avoid in writing your methodology.
It might seem instinctive to hide any flaws or limitations with your research to protect yourself from criticism. However, you need to highlight any problems you encountered during the research phase, or any limitations with your approach. Your markers are expecting you to engage with these limitations and highlight the kind of impact they may have had on your research.
Just be careful that you don’t overstress these limitations. Doing so could undermine the reliability and validity of your results, and your credibility as a researcher.
Don’t mistake your methodology chapter as a detailed review of methods employed in other studies. This level of detail should, where relevant, be incorporated in the literature review chapter, instead (see our Writing the Literature Review guide ). Any reference to methodological choices made by other researchers should come into your methodology chapter, but only in support of the decisions you made.
It’s important to be thorough in a methodology chapter. However, don’t include unnecessary levels of detail. You should provide enough detail that allows other researchers to replicate or adapt your study, but don’t bore your reader with obvious or extraneous detail.
Any materials or content that you think is worth including, but not essential in the chapter, could be included in an appendix (see definition). These don’t count towards your word count (unless otherwise stated), and they can provide further detail and context for your reader. For instance, it’s quite common to include a copy of a questionnaire in an appendix, or a list of interview questions.
A: The past tense. The study has already been conducted and the methodological decisions have been implemented, meaning the chapter should be written in the past tense. For example...
Data was collected over the course of four weeks.
I informed participants of their right to withdraw at any time.
The surveys included ten questions about job satisfaction and ten questions about familial life (see Appendix).
A: Yes, where relevant. Unlike the literature review, the methodology is driven by what you did rather than what other people have done. However, you should still draw on secondary sources, when necessary, to support your methodological decisions.
A: Yes, although it might not form a chapter, as such. Including some detail on how you approached the research phase is always a crucial part of a dissertation, whether primary or secondary. However, depending on the nature of your research, you may not have to provide the same level of detail as you would with a primary-based study.
For example, if you’re analysing two particular pieces of literature, then you probably need to clarify how you approached the analysis process, how you use the texts (whether you focus on particular passages, for example) and perhaps why these texts are scrutinised, as opposed to others from the relevant literary canon.
In such cases, the methodology may not be a chapter, but might constitute a small part of the introduction. Consult your supervisor for further guidance.
A: It’s important to be consistent , so you should use whatever you’ve been using throughout your dissertation. Third-person is more commonly accepted, but certain disciplines are happy with the use of first-person. Just remember that the first-person pronoun can be a distracting, but powerful device, so use it sparingly. Consult your supervisor for further guidance.
It’s important to remember that all research is different and, as such, the methodology chapter is likely to be very different from dissertation to dissertation. Whilst this guide has covered the most common and essential layers featured in a methodology, your methodology might be very different in terms of what you focus on, the depth of focus and the wording used.
What’s important to remember, however, is that every methodology chapter needs to be structured in a linear, layered way that guides the reader through the methodological process in sequential order. Through this, your marker can see how certain decisions have impacted on others, showing your understanding of the research process.
Here’s a final checklist for writing your methodology. Remember that not all of these points will be relevant for your methodology, so make sure you cover whatever’s appropriate for your dissertation. The asterisk (*) indicates any content that might not be relevant for your dissertation. You can download a copy of the checklist to save and edit via the Word document, below.
Aspect of Methodology Chapter | Yes/Unsure/No |
---|---|
I have structured my methodology in a that guides the reader through the research process in sequential order. | |
I have ensured that my chosen method and methodological decisions | |
I have engaged with the of my study. | |
I have addressed any relevant | |
I have only included that allows my study to be | |
I have briefly explained certain methodological were made. |
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Methodology
Research methods are specific procedures for collecting and analyzing data. Developing your research methods is an integral part of your research design . When planning your methods, there are two key decisions you will make.
First, decide how you will collect data . Your methods depend on what type of data you need to answer your research question :
Second, decide how you will analyze the data .
Methods for collecting data, examples of data collection methods, methods for analyzing data, examples of data analysis methods, other interesting articles, frequently asked questions about research methods.
Data is the information that you collect for the purposes of answering your research question . The type of data you need depends on the aims of your research.
Your choice of qualitative or quantitative data collection depends on the type of knowledge you want to develop.
For questions about ideas, experiences and meanings, or to study something that can’t be described numerically, collect qualitative data .
If you want to develop a more mechanistic understanding of a topic, or your research involves hypothesis testing , collect quantitative data .
Qualitative | to broader populations. . | |
---|---|---|
Quantitative | . |
You can also take a mixed methods approach , where you use both qualitative and quantitative research methods.
Primary research is any original data that you collect yourself for the purposes of answering your research question (e.g. through surveys , observations and experiments ). Secondary research is data that has already been collected by other researchers (e.g. in a government census or previous scientific studies).
If you are exploring a novel research question, you’ll probably need to collect primary data . But if you want to synthesize existing knowledge, analyze historical trends, or identify patterns on a large scale, secondary data might be a better choice.
Primary | . | methods. |
---|---|---|
Secondary |
In descriptive research , you collect data about your study subject without intervening. The validity of your research will depend on your sampling method .
In experimental research , you systematically intervene in a process and measure the outcome. The validity of your research will depend on your experimental design .
To conduct an experiment, you need to be able to vary your independent variable , precisely measure your dependent variable, and control for confounding variables . If it’s practically and ethically possible, this method is the best choice for answering questions about cause and effect.
Descriptive | . . | |
---|---|---|
Experimental |
Research method | Primary or secondary? | Qualitative or quantitative? | When to use |
---|---|---|---|
Primary | Quantitative | To test cause-and-effect relationships. | |
Primary | Quantitative | To understand general characteristics of a population. | |
Interview/focus group | Primary | Qualitative | To gain more in-depth understanding of a topic. |
Observation | Primary | Either | To understand how something occurs in its natural setting. |
Secondary | Either | To situate your research in an existing body of work, or to evaluate trends within a research topic. | |
Either | Either | To gain an in-depth understanding of a specific group or context, or when you don’t have the resources for a large study. |
Your data analysis methods will depend on the type of data you collect and how you prepare it for analysis.
Data can often be analyzed both quantitatively and qualitatively. For example, survey responses could be analyzed qualitatively by studying the meanings of responses or quantitatively by studying the frequencies of responses.
Qualitative analysis is used to understand words, ideas, and experiences. You can use it to interpret data that was collected:
Qualitative analysis tends to be quite flexible and relies on the researcher’s judgement, so you have to reflect carefully on your choices and assumptions and be careful to avoid research bias .
Quantitative analysis uses numbers and statistics to understand frequencies, averages and correlations (in descriptive studies) or cause-and-effect relationships (in experiments).
You can use quantitative analysis to interpret data that was collected either:
Because the data is collected and analyzed in a statistically valid way, the results of quantitative analysis can be easily standardized and shared among researchers.
Research method | Qualitative or quantitative? | When to use |
---|---|---|
Quantitative | To analyze data collected in a statistically valid manner (e.g. from experiments, surveys, and observations). | |
Meta-analysis | Quantitative | To statistically analyze the results of a large collection of studies. Can only be applied to studies that collected data in a statistically valid manner. |
Qualitative | To analyze data collected from interviews, , or textual sources. To understand general themes in the data and how they are communicated. | |
Either | To analyze large volumes of textual or visual data collected from surveys, literature reviews, or other sources. Can be quantitative (i.e. frequencies of words) or qualitative (i.e. meanings of words). |
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If you want to know more about statistics , methodology , or research bias , make sure to check out some of our other articles with explanations and examples.
Research bias
Quantitative research deals with numbers and statistics, while qualitative research deals with words and meanings.
Quantitative methods allow you to systematically measure variables and test hypotheses . Qualitative methods allow you to explore concepts and experiences in more detail.
In mixed methods research , you use both qualitative and quantitative data collection and analysis methods to answer your research question .
A sample is a subset of individuals from a larger population . Sampling means selecting the group that you will actually collect data from in your research. For example, if you are researching the opinions of students in your university, you could survey a sample of 100 students.
In statistics, sampling allows you to test a hypothesis about the characteristics of a population.
The research methods you use depend on the type of data you need to answer your research question .
Methodology refers to the overarching strategy and rationale of your research project . It involves studying the methods used in your field and the theories or principles behind them, in order to develop an approach that matches your objectives.
Methods are the specific tools and procedures you use to collect and analyze data (for example, experiments, surveys , and statistical tests ).
In shorter scientific papers, where the aim is to report the findings of a specific study, you might simply describe what you did in a methods section .
In a longer or more complex research project, such as a thesis or dissertation , you will probably include a methodology section , where you explain your approach to answering the research questions and cite relevant sources to support your choice of methods.
Other students also liked, writing strong research questions | criteria & examples.
Disclaimer: This is not a sample of our professional work. The paper has been produced by a student. You can view samples of our work here . Opinions, suggestions, recommendations and results in this piece are those of the author and should not be taken as our company views.
Type of Academic Paper – Dissertation Chapter
Academic Subject – Marketing
Word Count – 3017 words
The current chapter presents developing the research methods needed to complete the experimentation portion of the current study. The chapter will discuss in detail the various stages of developing the methodology of the current study. This includes a detailed discussion of the philosophical background of the research method chosen. In addition to this, the chapter describes the data collection strategy, including the selection of research instrumentation and sampling. The chapter closes with a discussion on the analysis tools used to analyse the data collected.
Creswall (2013) stated that research approaches are plans and procedures that range from steps, including making broad assumptions to detailed methods of data collection, analysis, and interpretation. The several decisions involved in the process are used to decide which approach should be used in a specific study that is informed using philosophical assumptions brought to the study (Creswall 2013). Included in this are procedures of inquiry or research designs and specific research methods used for data collection, its analysis, and finally, its interpretation. However, Guetterman (2015); Lewis (2015); and Creswall (2013) argue that the selection of the specific research approach is based on the nature of the research problem, or the issue that is being addressed by any study, personal experiences of the researchers’, and even the audience for which the study is being developed for.
There are many ways to customise research approaches to develop an approach most suited for a particular study. However, the main three categories with which research approaches are organised include; qualitative, quantitative, and mixed research methods. Creswall (2013) comments that all three approaches are not considered so discrete or distinct from one another. Creswall (2013) states, “qualitative and quantitative approaches should not be viewed as rigid, distinct categories, polar opposite, or dichotomies” (p.32). Newmand and Benz (1998) pointed out that quantitative and qualitative approaches instead represent different ends on a continuum since a study “tends” to be more quantitative than qualitative or vice versa. Lastly, mixed methods research resides in the middle of the continuum as it can incorporate elements and characteristics of both quantitative and qualitative approaches. Lewis (2015) points out that the main distinction that is often cited between quantitative and qualitative research is that it is framed in terms of using numbers rather than words; or using closed-ended questions for quantitative hypotheses over open-ended questions for qualitative interview questions. Guetterman (2015) points out that a clearer way of viewing gradations of differences between the approaches is to examine the basic philosophical assumptions brought to the study, the kinds of research strategies used, and the particular methods implemented in conducting the strategies.
An important component of defining the research approach involves philosophical assumptions that contribute to the broad research approach of planning or proposing to conduct research. It involves the intersection of philosophy, research designs and specific methods as illustrated in Fig. 1 below.
Figure 3.2-1- Research Onion (Source; Saunders and Tosey 2013)
Slife and Williams (1995) have argued that philosophical ideas have remained hidden within the research. However, they still play an influential role in the research practice, and it is for this reason that it is most identified. Various philosophical assumptions are used to construct or develop a study. Saunders et al. (2009) define research philosophy as a belief about how data about a phenomenon should be gathered, analysed and used. Saunders et al. (2009) identify common research philosophies such as positivism, realism, interpretivism, subjectivism, and pragmatism. Dumke (2002) believes that two views, positivism and phenomenology, mainly characterise research philosophy.
Positivism reflects acceptance in adopting the philosophical stance of natural scientists (Saunders, 2003). According to Remenyi et al. (1998), there is a greater preference in working with an “observable social reality” and that the outcome of such research can be “law-like” generalisations that are the same as those which are produced by physical and natural scientists. Gill and Johnson (1997) add that it will also emphasise a high structure methodology to allow for replication for other studies. Dumke (2002) agrees and explains
that a positivist philosophical assumption produces highly structured methodologies and allows for generalisation and quantification of objectives that can be evaluated by statistical methods. For this philosophical approach, the researcher is considered an objective observer who should not be impacted by or impact the subject of research.
On the other hand, more phenomenological approaches agree that the social world of business and management is too complex to develop theories and laws similar to natural sciences. Saunders et al. (2000) argue that this is the reason why reducing observations in the real world to simple laws and generalisations produces a sense of reality which is a bit superficial and doesn’t present the complexity of it.
The current study chooses positivistic assumptions due to the literature review’s discussion of the importance of Big Data in industrial domains and the need for measuring its success in the operations of the business. The current study aims to examine the impact that Big Data has on automobile companies’ operations. To identify a positive relationship between Big Data usage and beneficial business outcomes, the theory needs to be used to generate hypotheses that can later be tested of the relationship which would allow for explanations of laws that can later be assessed (Bryman and Bell, 2015).
Interpretive research approaches are derived from the research philosophy that is adopted. According to Dumke (2002), the two main research approaches are deductive and inductive. The inductive approach is commonly referred to when theory is derived from observations. Thus, the research begins with specific observations and measures. It is then from detecting some pattern that a hypothesis is developed. Dumke (2002) argues that researchers who use an inductive approach usually work with qualitative data and apply various methods to gather specific information that places different views. From the philosophical assumptions discussed in the previous section, it is reasonable to use the deductive approach for the current study. It is also considered the most commonly used theory to establish a relationship between theory and research. The figure below illustrates the steps used for the process of deduction.
Based on what is known about a specific domain, the theoretical considerations encompassing it a hypothesis or hypotheses are deduced that will later be subjected to empirical enquiry (Daum, 2013). Through these hypotheses, concepts of the subject of interest will be translated into entities that are rational for a study. Researchers are then able to deduce their hypotheses and convert them into operational terms.
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Saunders (2003) notes that almost all research will involve some numerical data or even contain data quantified to help a researcher answer their research questions and meet the study’s objectives. However, quantitative data refers to all data that can be a product of all research strategies (Bryman and Bell, 2015; Guetterman, 2015; Lewis, 2015; Saunders, 2003). Based on the philosophical assumptions and interpretive research approach, a quantitative research method is the best suited for the current study. Haq (2014) explains that quantitative research is about collecting numerical data and then analysing it through statistical methods to explain a specific phenomenon. Mujis (2010) defends the use of quantitative research because, unlike qualitative research, which argues that there is no pre-existing reality, quantitative assumes that there is only a single reality about social conditions that researchers cannot influence in any way. Also, qualitative research is commonly used when there is little to no knowledge of a phenomenon, whereas quantitative research is used to find the cause and effect relationship between variables to either verify or nullify some theory or hypothesis (Creswall 2002; Feilzer 2010; Teddlie and Tashakkori 2012).
There are many strategies available to implement in a study, as evidenced from Fig. 1. There are many mono-quantitative methods, such as telephone interviews, web-based surveys, postal surveys, and structured questionnaires (Haq 2014). Each instrument has its own pros and cons in terms of quality, time, and data cost. Brymand (2006); Driscoll et al. (2007); Edwards et al. (2002); and Newby et al. (2003) note that most researchers use structured questionnaires for data collection they are unable to control or influence respondents, which leads to low response rates but more accurate data obtained. Saunders and Tosey (2015) have argued that quantitative data is simpler to obtain and more concise to present. Therefore, the current study uses a survey-based questionnaire (See Appendix A).
Surveys are considered the most traditional forms of research and are used in non-experimental descriptive designs that describe some reality. Survey-based questionnaires are often restricted to a representative sample of a potential group of the study’s interest. In this case, it is the executives currently working for automobile companies in the UK. The survey instrument is then chosen for its effectiveness at being practical and inexpensive (Kelley et al., 2003). Due to the philosophical assumptions, interpretive approach, and methodological approach, the survey design for the current study is considered the best instrument in line with these premises, besides being cost-effective.
Research design.
This section describes how research is designed to use the techniques used for data collection, sampling strategy, and data analysis for a quantitative method. Before going into the strategies of data collection and analysis, a set of hypotheses were developed.
The current study uses a quantitative research approach, making it essential to develop a set of hypotheses that will be used as a test standard for the mono-method quantitative design. The following are a set of hypotheses that have been developed from the examination of the literature review.
H1- The greater the company’s budget for Big Data initiatives (More than 1 million GBP), the greater its ability to monetise and generate new revenues.
H2- The greater the company’s budget for Big Data initiatives (More than 1 million GBP) the more decrease in expenses in found.
H3- The greatest impact of Big Data on a company is changing the way business is done.
H4- Big Data integrating with a company has resulted in competitive significance.
H5- The analytical abilities of a company allows for achieved measurable results.
H6- Investing in Big Data will lead to highly successful business results.
H7- A business’s operations function is fuelling Big Data initiatives and effecting change in operations.
H8- The implementation of Big Data in the company has positive impacts on business.
This section includes the sampling method used to collect the number of respondents needed to provide information, then analysed after collection.
Collis (2009) explains that there are many kinds of sampling methods that can be used for creating a specific target sample from a population. This current study uses simple random sampling to acquire respondents with which the survey will be conducted. Simple random sampling is considered the most basic form of probability sampling. Under the method, elements are taken from the population at random, with all elements having an equal chance of being selected. According to () as of 2014, there are about thirty-five active British car manufacturers in the UK, each having an employee population of 150 or more. This is why the total population of employees in car manufacturers is estimated to be 5,250 employees. The sample, therefore, developed used the following equation;
2 × (1 − )
+( 2 × (1− ) ) 2
Where; N is the population size, e is the margin of error (as a decimal), z is confidence level (as a z-score), and p is percentage value (as a decimal). Thus, the sample size is with a normal distribution of 50%. With the above equation, a population of 5,250; with a 95% confidence level and 5% margin of error, the total sample size needed for the current equals 300. Therefore, N=300, which is the sample size of the current study.
The survey develops (see Appendix A) has a total of three sections, A, B, and C, with a total of 39 questions. Each section has its own set of questions to accomplish. The survey is a mix of closed-end questions that look to comprehend the respondents’ demographic makeup, the Big Data initiatives of the company, and the impact that Big Data was having on their company. The survey is designed to take no longer than twenty minutes. The survey was constructed on Survey Monkey.com, and an online survey provided website. The survey was left on the website for a duration of 40 days to ensure that the maximum number of respondents were able to answer the survey. The only way that the survey was allowed for a respondent is if they passed a security question as if they were working for an automobile company in the UK when taking the survey. Gupta et al. (2004) believe that web surveys are visual stimuli, and the respondent has complete control about whether or how each question is read and understood. That is why Dillman (2000) argued that web questionnaires are expected to resemble those taken through the mail/postal services closely.
The collected data is then analysed through the Statistical Package for Social Science (SPSS) version 24 for descriptive analysis. The demographic section of the survey will be analysed using descriptive statistics. Further analysis of the data includes regression analysis. Simple regression analysis includes only one independent variable and one dependent variable. Farrar and Glauber (1967) assert that the purpose of regression analysis is to estimate the parameters of dependency, and it should not be used to determine the interdependency of a relationship.
Conclusions.
The chapter provides a descriptive and in-depth discussion of the methods involved in the current study’s research. The current study is looking towards a quantitative approach that considers positivism as its philosophical undertaking, using deductive reasoning for its interpretive approach, is a mono-quantitative method that involves the use of a survey instrument for data collection. The methodology chapter also provided the data analysis technique, which is descriptive statistics through frequency analysis and regression analysis.
Question 8- Of these staff, are mostly working in or for your consumer-facing (B2C) businesses, your commercial or wholesale (B2B) businesses, or both?
Based on the illustration, nineteen (19) respondents indicated that 501-1000 employees are dedicated to analytics for both B2B and B2C. The category of using Big Data analytics for both B2B and B2C comprises the most agreement of respondents with 72 of 132 indicated.
The figure above represents the respondents’ answers to their automobile company’s plan for measuring Big Data’s success. Of the 132 participants, 44.70 per cent responded that the company is planning on using quantitative metrics associated with business performance to analyse if Big Data is actually successful. Another, 30.30 per cent indicated that their company was planning on using qualitative metrics tied to business performance. Using business performance to analyse the success of Big Data is coherent to the results of the literature review that indicated previous studies of doing such. As an automobile company, they need to know the results of using Big Data analytics, and that is only by using business performance indicators regardless of being qualitative or quantitative.
Fig. 4.3-6 portrays the response of participants in regards to actually achieving measurable results from Big Data. According to 68.18 per cent of respondents, the company that they worked for did indeed show measurable results from their investments in Big Data. However, 31.82 per cent indicated that there was indeed no measurable result in investing in Big Data.
Bryman, A., Bell, E., 2015. Business Research Methods. Oxford University Press.
Daum, P., 2013. International Synergy Management: A Strategic Approach for Raising Efficiencies in the Cross-border Interaction Process. Anchor Academic Publishing (aap_verlag).
Dümke, R., 2002. Corporate Reputation and its Importance for Business Success: A European
Perspective and its Implication for Public Relations Consultancies. diplom.de.
Guetterman, T.C., 2015. Descriptions of Sampling Practices Within Five Approaches to Qualitative Research in Education and the Health Sciences. Forum Qualitative Sozialforschung /
Forum: Qualitative Social Research 16.
Haq, M., 2014. A Comparative Analysis of Qualitative and Quantitative Research Methods and a Justification for Adopting Mixed Methods in Social Research (PDF Download Available).
ResearchGate 1–22. doi:http://dx.doi.org/10.13140/RG.2.1.1945.8640
Kelley, K., Clark, B., Brown, V., Sitzia, J., 2003. Good practice in the conduct and reporting of survey research. Int J Qual Health Care 15, 261–266. doi:10.1093/intqhc/mzg031
Lewis, S., 2015. Qualitative Inquiry and Research Design: Choosing Among Five Approaches.
Health Promotion Practice 16, 473–475. doi:10.1177/1524839915580941
Saunders, M., 2003. Research Methods for Business Students. Pearson Education India.
Saunders, M.N.K., Tosey, P., 2015. Handbook of Research Methods on Human Resource
Development. Edward Elgar Publishing.
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The dissertation methodology is a section that explains how the research was conducted, connecting various important aspects. It outlines the research design and approach used, providing the overall framework for the study. In this section, you should identify the research strategies, data collection methods, analysis tools and ethical considerations. A well-written dissertation methodology should provide an explanation of why certain decisions were made in order to ensure reliable results.
Dissertation methodology is necessary for writing a dissertation . Choosing suitable academic methods and applying them in a process is not an easy task. It is further complicated by the fact that each scientific area has its own applied methods. Below we will reveal how to write a dissertation methodology and discuss the instruments you used in a study.
Methodology in dissertation is a general system of scientific knowledge methods. Students usually use them to achieve a research paper goal they set at the beginning of a work. We can say that this is an instrumental basis. How many words should a methodology be in a dissertation? We would say it should be around 20% of the whole work. You should develop research problems and explain solutions to the main issues. Selection of suitable methods starts at the stage of preparing a dissertation plan. This section should be placed in dissertation introduction . You should justify the choice of each method used in work. In the abstract, just list analysis of the main techniques that were used. Due to their huge number, there are different research methods classifications. Firstly, they are usually divided into two categories. The first category is applicable to all knowledge branches. The second has a narrower focus. It covers those methods that are applied strictly in a particular science area. We’ll consider quantitative and qualitative classifications in more detail.
The main goal of methodology chapter dissertation is to study methods you have chosen. It helps to acquire and substantiate new findings in science. But, in addition to this main task, this section also studies:
So, the purpose is to study an object, process, or phenomenon. You should capture scientific principles’ basis in written form and introduce useful results into production. Note that our dissertation service includes help with methodology, too.
You might be confused with the difference between thesis and dissertation methods, but the answer is simple. Researchers use the first term to proceed with studying research problems. Literally, this is a description of all material and information that was used in work. Methodology is a broader term. It is a system with methods for learning how research should be done systematically. It ensures that conclusions drawn are valid and reliable.
Let’s consider what to include in a dissertation methodology . No matter what scientific area you’re working on, it should include the same chapters. We recommend you focus on specific methods for your studying. But a general outline is universal for each case.
In the dissertation methodology chapter, you should describe research methods and organization. Briefly, list method aims and techniques used in study. It is necessary to indicate methods’ authors and publishing year. For example:
Following methods were used to solve tasks:
The dissertation methodology outline begins with a search. Find a subject area that can unite all gained empirical results. Some results often do not fit into a single structure and have to be discarded. But sometimes, necessary empirical results are lacking, so you should continue study's empirical part. Determine an appropriate outline to begin logical concept composition.
For the methodology section of the dissertation, you should determine the study base, respondents number, their age, gender. Explain your choice using specific arguments. Look at following example:
Study was conducted based on the municipal higher educational institution of the regional council. The study covered 105 first-year students (including 77 students of Department of Primary Education (base 9 classes), aged 15.5 years and 28 students of department "Preschool Education" (base 11 classes), aged 17.5 years).
Qualitative dissertation methodology is aimed at identifying statistical survey characteristics. So you can reveal various types of deep social processes and mechanisms. For example, analyze the media's influence on individual consciousness. Or examine informational perception of different population layers. The main application area of these methods is marketing and sociological research. Let's consider the most important group methods:
The second dissertation methodology is quantitativ methods . It helps to identify phenomena based on statistical methods. It aims at initially collecting questionnaires and then measuring them to investigate large-scale phenomena. It also allows you to study the structure and research development’s dynamics. This includes counting publications number made or content analysis. For example, determination of various sources’ volume citation. It is possible to track studied circulation and the usage degree. The research results using this method are information with minor deviations.
In the practical section, analyze results of research methodology dissertation. Provide detailed data on subjects and different research methods. Pay attention to results' validity and their interpretation. Research results should not be limited to statements of received facts. Interpret their scientific explanation and obtain results.
Methodology chapter in the dissertation should include suitable materials. Data selection, critical comprehension, and processing are essential. First, you need to introduce primary literature (textbooks, theoretical articles) and applied materials (methodological developments, instructional materials, articles). Include only carefully selected and purposefully analyzed elements. As illustrative material, you can add sample documents, tables, diagrams, charts. They can be placed throughout your study.
We have prepared some tips on how to write a methodology for a dissertation. Hope they will ease your writing.
We collected and identified 10 common mistakes in writing a dissertation methodology. Avoid them to make this section excellent!
We prepared a methodology example for your dissertation. Now you know all necessary information on how to write this chapter. We recommend you pay specific attention while writing. You can take our sample as a template.
Dissertation methodology occupies 20% of your text. It is significant for your scientific research. In this section you formulate provisions that determine the entire course of work. We recommend writing this section at the very beginning. So, research methods are steps that we take towards work goals. These are ways that our online dissertation help resolves study tasks.
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Joe Eckel is an expert on Dissertations writing. He makes sure that each student gets precious insights on composing A-grade academic writing.
Listed below are some of the best examples of research projects and dissertations from undergraduate and taught postgraduate students at the University of Leeds We have not been able to gather examples from all schools. The module requirements for research projects may have changed since these examples were written. Refer to your module guidelines to make sure that you address all of the current assessment criteria. Some of the examples below are only available to access on campus.
These dissertations achieved a mark of 80 or higher:
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The following two examples have been annotated with academic comments. This is to help you understand why they achieved a good 2:1 mark but also, more importantly, how the marks could have been improved. Please read to help you make the most of the two examples. (Mark 68) (Mark 66) These final year projects achieved a mark of a high first:
For students undertaking a New Venture Creation (NVC) approach, please see the following Masters level examples:
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Projects which attained grades of over 70 or between 60 and 69 are indicated on the lists (accessible only by students and staff registered with School of Computer Science, when on campus).
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These are good quality reports but they are not perfect. You may be able to identify areas for improvement (for example, structure, content, clarity, standard of written English, referencing or presentation quality).
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The following examples have their marks and feedback included at the end of of each document.
The following examples have their feedback provided in a separate document.
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School of Media and Communication . |
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The following outstanding dissertation example PDFs have their marks denoted in brackets. (Mark 78) (Mark 91) (Mark 85) |
This dissertation achieved a mark of 84: . |
LUBS5530 Enterprise
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The following outstanding dissertation example PDFs have their marks denoted in brackets. (Mark 70) (Mark 78) |
A dissertation preface is an integral part of the dissertation writing process for both graduate and doctoral students. Even though the preface is found at the beginning of the dissertation, it is essentially a task that authors engage in at the very end of their dissertation work.
A dissertation preface is a section that precedes the main body of your dissertation. Unlike other sections of the dissertation, which are strictly academic and formal, the preface offers a more personal touch as it provides context and insight into your research journey. In this section, the author outlines the background and criticality of the work they have done, acknowledges contributions, and reflects on the experiences and challenges they faced during the research process.
The dissertation preface serves various purposes, including:
Here are the essential components that should be covered in a dissertation preface:
While both the preface and the acknowledgements sections are personal, they are two very distinct sections that serve different purposes and are placed differently within a dissertation. Usually, dissertations contain either a preface or an acknowledgement section. As detailed above, the preface provides context, shares personal experiences while writing and the circumstances that motivated the conduct of the study. Institutions and critical individuals are also acknowledged for their contributions. The acknowledgements section is focused entirely on expressing gratitude to all persons and institutions that contributed significantly to the research and dissertation writing process.
Preface example
Understanding the existential issue of climate change and its impact on our environment, specifically on fragile coral reef ecosystems, has been a persistent goal for me since high school. The work before you is the result of this passion and my desire to discover ways to mitigate the damages caused by quickly changing climate conditions. Over the years, I have followed and put in many years of research and hard work to find ways to preserve these “rainforests of the sea.” Engaging with subject experts and advocates of environmental sustainability across academic circles and also the industry gave me the necessary wherewithal to start thinking of this research work.
As I went along this challenging journey, I learned many things that have enriched this study. From navigating the complexities of data collection to balancing academic commitments, each step taught me valuable lessons in perseverance and critical thinking. This would not have been possible without the encouragement and support of many people.
I am deeply grateful to my mentor and supervisor, Professor Janine Forsythe, for her guidance and support throughout this project. Her expertise and encouragement were invaluable in my research. A special thanks to my faculty for their support and for providing me with an enriching research environment. It would be remiss of me not to mention and thank the National Endowment Fund for providing me with the necessary grant, without which this work would not have been completed. Lastly, I am grateful to my family and friends for putting up with my long working hours and often distracted self. I hope my work will inspire others to take up further research and study in this field.
Peter Morris
Washington DC, 11 June 2022
In writing the dissertation preface, always remember to keep it brief, engaging, and impactful. Providing a personalized account of your motivations and study approach helps the intended audience to relate to your work. While you can write in the first person, ensure that you do not stray from an academic tone.
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Published: August 08, 2024
One of the most underrated skills you can have as a marketer is marketing research — which is great news for this unapologetic cyber sleuth.
From brand design and product development to buyer personas and competitive analysis, I’ve researched a number of initiatives in my decade-long marketing career.
And let me tell you: having the right marketing research methods in your toolbox is a must.
Market research is the secret to crafting a strategy that will truly help you accomplish your goals. The good news is there is no shortage of options.
Thanks to the Internet, we have more marketing research (or market research) methods at our fingertips than ever, but they’re not all created equal. Let’s quickly go over how to choose the right one.
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What are you researching? Do you need to understand your audience better? How about your competition? Or maybe you want to know more about your customer’s feelings about a specific product.
Before starting your research, take some time to identify precisely what you’re looking for. This could be a goal you want to reach, a problem you need to solve, or a question you need to answer.
For example, an objective may be as foundational as understanding your ideal customer better to create new buyer personas for your marketing agency (pause for flashbacks to my former life).
Or if you’re an organic sode company, it could be trying to learn what flavors people are craving.
Next, determine what data type will best answer the problems or questions you identified. There are primarily two types: qualitative and quantitative. (Sound familiar, right?)
Understanding the differences between qualitative and quantitative data will help you pinpoint which research methods will yield the desired results.
For instance, thinking of our earlier examples, qualitative data would usually be best suited for buyer personas, while quantitative data is more useful for the soda flavors.
However, truth be told, the two really work together.
Qualitative conclusions are usually drawn from quantitative, numerical data. So, you’ll likely need both to get the complete picture of your subject.
For example, if your quantitative data says 70% of people are Team Black and only 30% are Team Green — Shout out to my fellow House of the Dragon fans — your qualitative data will say people support Black more than Green.
(As they should.)
You’ll also want to understand the difference between primary and secondary research.
Primary research involves collecting new, original data directly from the source (say, your target market). In other words, it’s information gathered first-hand that wasn’t found elsewhere.
Some examples include conducting experiments, surveys, interviews, observations, or focus groups.
Meanwhile, secondary research is the analysis and interpretation of existing data collected from others. Think of this like what we used to do for school projects: We would read a book, scour the internet, or pull insights from others to work from.
So, which is better?
Personally, I say any research is good research, but if you have the time and resources, primary research is hard to top. With it, you don’t have to worry about your source's credibility or how relevant it is to your specific objective.
You are in full control and best equipped to get the reliable information you need.
Once you know your objective and what kind of data you want, you’re ready to select your marketing research method.
For instance, let’s say you’re a restaurant trying to see how attendees felt about the Speed Dating event you hosted last week.
You shouldn’t run a field experiment or download a third-party report on speed dating events; those would be useless to you. You need to conduct a survey that allows you to ask pointed questions about the event.
This would yield both qualitative and quantitative data you can use to improve and bring together more love birds next time around.
Now that you know what you’re looking for in a marketing research method, let’s dive into the best options.
Note: According to HubSpot’s 2024 State of Marketing report, understanding customers and their needs is one of the biggest challenges facing marketers today. The options we discuss are great consumer research methodologies , but they can also be used for other areas.
1. interviews.
Interviews are a form of primary research where you ask people specific questions about a topic or theme. They typically deliver qualitative information.
I’ve conducted many interviews for marketing purposes, but I’ve also done many for journalistic purposes, like this profile on comedian Zarna Garg . There’s no better way to gather candid, open-ended insights in my book, but that doesn’t mean they’re a cure-all.
What I like: Real-time conversations allow you to ask different questions if you’re not getting the information you need. They also push interviewees to respond quickly, which can result in more authentic answers.
What I dislike: They can be time-consuming and harder to measure (read: get quantitative data) unless you ask pointed yes or no questions.
Best for: Creating buyer personas or getting feedback on customer experience, a product, or content.
Focus groups are similar to conducting interviews but on a larger scale.
In marketing and business, this typically means getting a small group together in a room (or Zoom), asking them questions about various topics you are researching. You record and/or observe their responses to then take action.
They are ideal for collecting long-form, open-ended feedback, and subjective opinions.
One well-known focus group you may remember was run by Domino’s Pizza in 2009 .
After poor ratings and dropping over $100 million in revenue, the brand conducted focus groups with real customers to learn where they could have done better.
It was met with comments like “worst excuse for pizza I’ve ever had” and “the crust tastes like cardboard.” But rather than running from the tough love, it took the hit and completely overhauled its recipes.
The team admitted their missteps and returned to the market with better food and a campaign detailing their “Pizza Turn Around.”
The result? The brand won a ton of praise for its willingness to take feedback, efforts to do right by its consumers, and clever campaign. But, most importantly, revenue for Domino’s rose by 14.3% over the previous year.
The brand continues to conduct focus groups and share real footage from them in its promotion:
What I like: Similar to interviewing, you can dig deeper and pivot as needed due to the real-time nature. They’re personal and detailed.
What I dislike: Once again, they can be time-consuming and make it difficult to get quantitative data. There is also a chance some participants may overshadow others.
Best for: Product research or development
Pro tip: Need help planning your focus group? Our free Market Research Kit includes a handy template to start organizing your thoughts in addition to a SWOT Analysis Template, Survey Template, Focus Group Template, Presentation Template, Five Forces Industry Analysis Template, and an instructional guide for all of them. Download yours here now.
Surveys are a form of primary research where individuals are asked a collection of questions. It can take many different forms.
They could be in person, over the phone or video call, by email, via an online form, or even on social media. Questions can be also open-ended or closed to deliver qualitative or quantitative information.
A great example of a close-ended survey is HubSpot’s annual State of Marketing .
In the State of Marketing, HubSpot asks marketing professionals from around the world a series of multiple-choice questions to gather data on the state of the marketing industry and to identify trends.
The survey covers various topics related to marketing strategies, tactics, tools, and challenges that marketers face. It aims to provide benchmarks to help you make informed decisions about your marketing.
It also helps us understand where our customers’ heads are so we can better evolve our products to meet their needs.
Apple is no stranger to surveys, either.
In 2011, the tech giant launched Apple Customer Pulse , which it described as “an online community of Apple product users who provide input on a variety of subjects and issues concerning Apple.”
"For example, we did a large voluntary survey of email subscribers and top readers a few years back."
While these readers gave us a long list of topics, formats, or content types they wanted to see, they sometimes engaged more with content types they didn’t select or favor as much on the surveys when we ran follow-up ‘in the wild’ tests, like A/B testing.”
Pepsi saw similar results when it ran its iconic field experiment, “The Pepsi Challenge” for the first time in 1975.
The beverage brand set up tables at malls, beaches, and other public locations and ran a blindfolded taste test. Shoppers were given two cups of soda, one containing Pepsi, the other Coca-Cola (Pepsi’s biggest competitor). They were then asked to taste both and report which they preferred.
People overwhelmingly preferred Pepsi, and the brand has repeated the experiment multiple times over the years to the same results.
What I like: It yields qualitative and quantitative data and can make for engaging marketing content, especially in the digital age.
What I dislike: It can be very time-consuming. And, if you’re not careful, there is a high risk for scientific error.
Best for: Product testing and competitive analysis
Pro tip: " Don’t make critical business decisions off of just one data set," advises Pamela Bump. "Use the survey, competitive intelligence, external data, or even a focus group to give you one layer of ideas or a short-list for improvements or solutions to test. Then gather your own fresh data to test in an experiment or trial and better refine your data-backed strategy."
8. public domain or third-party research.
While original data is always a plus, there are plenty of external resources you can access online and even at a library when you’re limited on time or resources.
Some reputable resources you can use include:
It’s also smart to turn to reputable organizations that are specific to your industry or field. For instance, if you’re a gardening or landscaping company, you may want to pull statistics from the Environmental Protection Agency (EPA).
If you’re a digital marketing agency, you could look to Google Research or HubSpot Research . (Hey, I know them!)
What I like: You can save time on gathering data and spend more time on analyzing. You can also rest assured the data is from a source you trust.
What I dislike: You may not find data specific to your needs.
Best for: Companies under a time or resource crunch, adding factual support to content
Pro tip: Fellow HubSpotter Iskiev suggests using third-party data to inspire your original research. “Sometimes, I use public third-party data for ideas and inspiration. Once I have written my survey and gotten all my ideas out, I read similar reports from other sources and usually end up with useful additions for my own research.”
If the data you need isn’t available publicly and you can’t do your own market research, you can also buy some. There are many reputable analytics companies that offer subscriptions to access their data. Statista is one of my favorites, but there’s also Euromonitor , Mintel , and BCC Research .
What I like: Same as public domain research
What I dislike: You may not find data specific to your needs. It also adds to your expenses.
Best for: Companies under a time or resource crunch or adding factual support to content
You’re not going to like my answer, but “it depends.” The best marketing research method for you will depend on your objective and data needs, but also your budget and timeline.
My advice? Aim for a mix of quantitative and qualitative data. If you can do your own original research, awesome. But if not, don’t beat yourself up. Lean into free or low-cost tools . You could do primary research for qualitative data, then tap public sources for quantitative data. Or perhaps the reverse is best for you.
Whatever your marketing research method mix, take the time to think it through and ensure you’re left with information that will truly help you achieve your goals.
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How long should a thesis statement be, how to write a character analysis essay.
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A thesis statement is the cornerstone of any well-written essay or research paper. It serves as a roadmap, guiding the reader through the argument or analysis that follows. However, one common question among students is: how long should a thesis statement be? In this comprehensive guide, we'll explore the ideal length, structure, and content of a thesis statement. We’ll also provide good thesis statement examples, discuss common pitfalls, and offer advice on crafting effective thesis statements that enhance your academic writing.
Before we delve into the specifics of length, it’s crucial to understand the fundamental purpose of a thesis statement. A thesis statement succinctly summarises the main point or claim of your essay or paper. It should provide a clear, concise, and specific argument that sets the tone for the rest of your work.
A well-crafted thesis statement is essential because it:
Clarifies the Argument : It tells the reader what to expect from your essay and what position you will be arguing or discussing. Organises Your Writing : It helps you, the writer, stay focused on your main point and avoid straying from your topic. Engages the Reader : A strong thesis statement grabs the reader’s attention and makes them want to read further.
The structure of a thesis statement typically includes two components: the topic of your essay and your specific stance or argument about that topic. In some cases, particularly in longer essays or research papers, a thesis statement may also include a brief overview of the supporting points that will be discussed.
Topic : What are you writing about? Claim : What is your position or argument about the topic? Supporting Points (optional) : What are the key points you will use to support your argument?
Let’s consider a basic thesis statement structure with an example:
Topic : The theme of revenge in Hamlet by William Shakespeare. Claim : Revenge leads to the downfall of several characters in Hamlet. Supporting Points : This is illustrated through Hamlet's obsession with avenging his father’s death, Laertes' pursuit of revenge for his father Polonius, and Fortinbras' desire to reclaim his father’s lost territories. Thesis Statement : "In Hamlet, Shakespeare demonstrates how the pursuit of revenge leads to the downfall of multiple characters, as seen through Hamlet's fixation on avenging his father, Laertes' retribution for Polonius, and Fortinbras' quest to restore his father's honour."
The length of a thesis statement can vary depending on the complexity of the topic and the length of the essay or paper. However, a general rule of thumb is that a thesis statement should be one to two sentences long.
For Short Essays (1-3 pages) : A concise, single-sentence thesis statement is usually sufficient. For Medium-Length Essays (4-8 pages) : A thesis statement may be one to two sentences, briefly mentioning supporting points. For Longer Papers (10+ pages) : A longer thesis statement, possibly two sentences, may include a more detailed overview of the supporting points.
While brevity is important, clarity and comprehensiveness are equally essential. You want your thesis statement to be as concise as possible while still conveying your main argument and the direction of your paper.
Short Thesis Statement Example : "Climate change poses a serious threat to global biodiversity." Length: 1 sentence Medium-Length Thesis Statement Example : "Climate change poses a serious threat to global biodiversity, particularly in fragile ecosystems such as coral reefs and rainforests." Length: 1 sentence with added complexity Long Thesis Statement Example : "Climate change poses a serious threat to global biodiversity by accelerating habitat loss, altering species migration patterns, and increasing the frequency of extreme weather events, particularly in fragile ecosystems such as coral reefs and rainforests." Length: 2 sentences, offering a brief overview of the supporting points
A strong thesis statement is not just about getting the length right; it’s about making sure your statement is clear, specific, and arguable. Here’s how you can achieve that:
In some cases, especially in more complex or extensive essays, a longer thesis statement may be necessary. Here are a few long thesis statement examples to illustrate how to handle more detailed arguments:
"In Pride and Prejudice, Jane Austen explores the limitations placed on women in 19th-century England through the character of Elizabeth Bennet, whose defiance of traditional gender roles, independence, and refusal to marry for convenience challenge the societal norms of her time and ultimately redefine what it means to be a woman in her society."
"The rapid development of artificial intelligence (AI) in the 21st century presents unprecedented ethical dilemmas, as AI's integration into various industries threatens to displace human labour, raises questions about data privacy, and challenges existing legal frameworks, all of which require urgent attention from policymakers." In these examples, the thesis statements are longer because they address more complex issues and lay out the specific points that will be explored in the paper.
A well-crafted thesis statement is the key to a successful essay or research paper. It should be concise yet comprehensive, specific yet arguable, and tailored to the scope of your paper. While the length of a thesis statement typically ranges from one to two sentences, the most important aspect is its ability to clearly and effectively communicate the main point of your writing.
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Once you have a single idea to anchor your essay, build the entire piece around it. Starting an essay can be challenging; it's like revving up the engine and keeping your ideas flowing throughout. But I've got a foolproof plan for you. In this article I will show you how to start an essay and write a powerful, impactful piece for your class.
Just like any task that requires organization, writing an essay follows a structured process. If you want to ensure that your essay is well-organized and not just a free flow of ideas, consider the following process:
Read and Understand the Prompt: Begin by carefully reading the essay prompt to fully grasp what is being asked of you. Break it down into manageable parts to ensure you cover every aspect in your essay.
Plan Your Essay: Take time to brainstorm and organize your ideas. Creating an outline or a web of your ideas and supporting details will make the writing process much smoother. This will help you structure your essay logically and ensure all your points are well thought out.
Use and Cite Sources: Conduct thorough research to gather information and evidence to support your arguments. Use quotes and paraphrases from credible sources, but always avoid plagiarism by properly citing your sources.
Write a Draft: Start by writing a rough draft. As Ernest Hemingway said, “The first draft of anything is always crap.” This stage allows you to get all your ideas down without worrying about perfection. Drafts are essential for organizing your thoughts and refining your arguments.
Develop a Strong Thesis: Your thesis statement is the main argument of your essay and the most important sentence you'll write. Make it clear and compelling, setting the stage for your entire essay.
Respond to the Prompt: Once you've refined your draft, ensure that you are directly addressing every part of the prompt. Your final draft should be a polished version of your ideas, with a clear and logical flow.
Proofread: Review your essay carefully to catch any grammatical errors, typos, or awkward sentences. Proofreading is crucial because even small mistakes can undermine the professionalism and clarity of your essay.
Although more advanced academic papers have their own unique structures, the basic high school or college essay typically follows a standardized five-paragraph format:
1.Introduction
Writing a well-structured essay is crucial for clearly conveying your ideas and arguments. While advanced academic papers may have complex structures, the basic high school or college essay typically follows a standardized five-paragraph format. This format includes an introduction, three body paragraphs, and a conclusion, each serving a specific purpose to guide the reader through your argument.
The introduction paragraph is where you start by grabbing the reader’s attention with an engaging "hook," such as a relevant quote or a surprising fact. Following this, you introduce your thesis statement, which is the central argument or point of your essay. To set the stage for the rest of the essay, you provide a brief preview of the three main points that will be covered in the body paragraphs.
The first body paragraph begins with a topic sentence that introduces the first subtopic related to your thesis. This paragraph includes supporting details or examples that illustrate your point, followed by an explanation of how these details or examples support your thesis. This structured approach ensures clarity and coherence, making your argument more persuasive.
The second body paragraph follows a similar format. It starts with a topic sentence that introduces the second subtopic. Again, you provide supporting details or examples and explain their relevance to your thesis. This repetition of structure helps reinforce your argument and makes it easier for the reader to follow your reasoning.
The third body paragraph introduces the third subtopic with a topic sentence. Just like the previous paragraphs, it includes supporting details or examples and explains how they support your thesis. This consistent format throughout the body paragraphs ensures that each point is clearly presented and thoroughly examined.
3.Conclusion
The conclusion paragraph begins with a concluding transition, such as "in conclusion," signaling that you are wrapping up your essay. You restate your thesis in a new way to reinforce your main argument. Then, you summarize the key points discussed in the body paragraphs, tying them back to your thesis.
Finally, you end with a "global statement" or call to action, leaving the reader with a final thought or suggestion related to your topic. This structured approach to essay writing helps ensure that your arguments are clear, cohesive, and compelling from start to finish.
Starting an essay can bring a mix of thoughts: how to begin, how to end, what supporting points to use. This confusion often leads students to produce subpar essays. Writing an essay is a process that requires structure, which is why learning how to start an essay is crucial.
From my experience, the first tip is to analyze the question and begin brainstorming. This is followed by a series of steps I'll discuss to help you craft an essay that communicates your message effectively. Let's explore how to start an essay, including examples, samples, and techniques like opening with a thought-provoking question. Whether you're looking for "how to start an essay with examples" or a "how to start an essay sample," these tips will guide you towards a strong introduction that sets the tone for your entire piece.
Your introduction sets the tone for your entire essay. It's your opportunity to grab the reader's attention and provide a roadmap for what's to come. Let's break down the key components following up with how to start an essay examples:
The hook is your opening statement that captivates your audience. It should be intriguing, thought-provoking, and relevant to your topic. A strong hook can take various forms, such as a startling statistic, a provocative question, or a vivid anecdote. The key is to pique your reader's curiosity and make them eager to read more.
a) "Imagine a world where your morning coffee could power your entire house for a day. While this might sound like science fiction, recent advancements in bioenergy are bringing us closer to this reality."
b) "In the time it takes you to read this sentence, over 200 species will have gone extinct. The alarming rate of biodiversity loss is not just a statistic—it's a call to action that we can no longer ignore."
Context / Background
After hooking your reader, provide context that helps them understand the significance of your topic. This background information should bridge the gap between your hook and your thesis statement. Explain why your topic matters, touch on recent developments or historical context, and set the stage for your main argument.
"The concept of artificial intelligence (AI) has evolved from the realm of science fiction to a cornerstone of modern technology. Over the past decade, AI has permeated various aspects of our lives, from voice assistants in our homes to complex algorithms driving social media platforms. As AI continues to advance at an unprecedented pace, it raises profound questions about the future of work, privacy, and even what it means to be human. Understanding the implications of this technological revolution is crucial as we navigate an increasingly AI-driven world."
Thesis Statement
Your thesis statement is the cornerstone of your essay. It clearly articulates your main argument or purpose, providing a preview of what you'll discuss in the body of your essay. A strong thesis should be specific, arguable, and concise. It sets expectations for your readers and guides the structure of your essay.
"This essay will examine the ethical implications of AI development, arguing that while artificial intelligence offers tremendous benefits in fields such as healthcare and environmental protection, it also poses significant risks to privacy, job security, and social equality. By analyzing these challenges and proposing a framework for responsible AI development, I aim to demonstrate that proactive ethical considerations are essential to harnessing AI's potential while mitigating its dangers."
Overview Ending (Optional)
To round off your introduction, you might choose to provide a brief overview of your essay's structure. This can help orient your readers and give them a clear idea of what to expect. However, be careful not to give away too much—you want to maintain some element of anticipation.
"In exploring the ethical landscape of AI, we will first delve into its transformative potential across various sectors. Then, we'll critically examine the challenges and risks associated with widespread AI adoption. Finally, we'll propose a set of ethical guidelines and policy recommendations aimed at fostering responsible AI development. Through this analysis, we'll uncover how balancing innovation with ethical considerations is crucial for creating an AI-enhanced future that benefits all of humanity."
Once we have written our overview ending, our introduction paragraph is complete. Here is an example of an introduction paragraph:
This might initially appear daunting due to its size, but leveraging WPS AI can streamline and condense the content effectively. Here's how you can simplify and refine it:
Step 1: Select your entire introduction paragraph, and then click on the "WPS AI" icon in the hover menu.
Step 2: From the list of WPS AI options, click on "Make shorter" to help reduce the length of your content.
Step 3: WPS AI will display a shorter version of your introduction in a small window; click on "Replace".
Step 4: The introduction paragraph will now be replaced with a shorter version for your essay.
The body of your essay is where you develop your arguments and provide evidence to support your thesis. It's the meat of your essay, where you dive deep into your topic and showcase your knowledge and critical thinking skills.
Present and develop the main arguments that support your thesis statement. Each paragraph should focus on a single main idea or argument that contributes to your overall thesis. This structure helps your reader follow your logic and understand your points clearly.
Let's say your thesis is about the impact of renewable energy on climate change mitigation. One argument could be:
"The widespread adoption of solar power technology has significantly reduced carbon emissions in countries that have invested heavily in this renewable energy source."
Support each argument with solid evidence that reinforces your point. Evidence can include facts, statistics, research findings, expert opinions, or examples from real-life situations. The stronger and more varied your evidence, the more convincing your argument will be.
"According to a 2023 report by the International Energy Agency, countries with high solar power adoption have seen an average reduction in carbon emissions of 15% over the past five years. For instance, Germany, a leader in solar energy, has cut its carbon emissions by 28% since 2010, with solar power contributing to more than half of this reduction."
Ideas (Paragraphs)
Organize your ideas into coherent paragraphs. Each paragraph should start with a topic sentence that introduces the main idea of the paragraph. Follow this with your evidence and analysis, explaining how this information supports your argument and relates to your thesis.
Topic sentence: "Beyond reducing carbon emissions, solar power adoption also stimulates economic growth and job creation in the renewable energy sector."
Evidence and analysis: "A study by the U.S. Bureau of Labor Statistics projects that solar panel installer will be the fastest-growing job in the United States over the next decade, with an expected growth rate of 52%. This surge in employment opportunities not only helps to offset job losses in traditional energy sectors but also contributes to overall economic resilience. For example, in California, the solar industry has created over 86,000 jobs, boosting the state's economy while simultaneously reducing its carbon footprint."
This structure is followed for each body paragraph added. So, if you think you have 3 sub-topics, you will have 3 body paragraphs, stating the sub-topic followed by evidence to back your argument.
Transitions
Use transitions to link your paragraphs and ideas together smoothly. These can be words or phrases that show how one idea leads to another or how different viewpoints contrast. Good transitions help your essay flow logically and coherently.
"While solar power demonstrates significant benefits for both the environment and economy, it's essential to consider other renewable energy sources that complement its strengths and address its limitations."
Here is how a body paragraph would look like:
Your conclusion is your final opportunity to leave a lasting impression on your reader. It should tie together all the threads of your essay and reinforce your main points.
Summary / Synthesis
Summarize the main points you have discussed throughout the essay. This reminder helps solidify your arguments in the reader's mind.
"Throughout this essay, we've explored the multifaceted impact of renewable energy, particularly solar power, on our fight against climate change. We've seen how solar technology significantly reduces carbon emissions, stimulates economic growth through job creation, and complements other renewable energy sources. Moreover, we've examined the challenges of energy storage and distribution that come with increased reliance on solar power."
Importance of Your Topic
Explain why your topic is important or relevant. Connect the discussion back to the broader context or implications of your thesis statement.
"The transition to renewable energy sources like solar power is not just an environmental imperative; it's a pivotal moment in human history. As we face the growing threats of climate change, including rising sea levels, extreme weather events, and biodiversity loss, our energy choices today will shape the world for generations to come. The widespread adoption of solar and other renewable energy sources offers a path to a more sustainable, resilient, and equitable future."
Strong Closing Statement
End your conclusion with a strong closing statement that leaves a lasting impression on the reader. This could be a call to action, a prediction, or a thought-provoking question.
"As we stand at this critical juncture, the choice is clear: embrace the power of the sun and other renewable sources, or continue down a path of environmental degradation. By investing in solar technology, supporting policies that encourage renewable energy adoption, and making conscious energy choices in our daily lives, we can harness the immense potential of renewable energy. The future of our planet is bright - if we choose to make it so. Will you be part of this solar revolution?"
The final conclusion, including all the main functions, would look something like this:
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1. what is the purpose of the introduction in an essay.
The purpose of the introduction in an essay is to familiarize the reader with the topic, highlighting its significance and relevance. It captures the reader's interest while providing essential background information. Additionally, the introduction outlines the main points of the essay and presents the thesis statement, which acts as the core argument that forms the foundation of the entire essay. By laying out these components, the introduction clarifies the importance of the topic and prepares the reader for what lies ahead in the essay.
A topic sentence is a statement that conveys the primary idea of a paragraph. It conveys the main point and establishes the paragraph's focus, ensuring that all subsequent sentences are connected to this key idea. Every paragraph in your paper should include a topic sentence to clarify its purpose.
A thesis statement is crucial because it defines the main argument of an essay, guiding the writer's direction and helping the reader understand the central focus. It serves as a roadmap for the content that follows, ensuring that all points are relevant to the main idea.
To create a memorable essay introduction, begin with an engaging hook, such as an intriguing fact, a thought-provoking quote, or a vivid illustration. Additionally, ensure that your introduction is concise, focused, and directly related to the main topic of the essay. This approach will draw the reader in and establish a solid foundation for your argument.
Learning how to start an essay will ultimately help you transform your ideas into a compelling narrative. All you need is a prompt and a topic to craft the best essay possible. Remember to infuse your work with a bit of heart to give it a personalized touch, making your writing truly unique and engaging. WPS Office is an excellent tool to help you achieve a well-crafted essay. It assists in forming proper sentences and generating new ideas, ensuring your essay is both coherent and creative.
With features like grammar and spelling checks, style and clarity enhancement, and writing assistance, WPS Office supports you every step of the way in your writing process. Download WPS Office now and experience its capabilities for yourself. It’s designed to make essay writing easier and more efficient, allowing you to focus on expressing your ideas and arguments effectively.
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The independent source for health policy research, polling, and news.
Brittni Frederiksen , Usha Ranji , Karen Diep , Ivette Gomez , and Alina Salganicoff Published: Aug 14, 2024
The 2024 KFF Women’s Health Survey was designed and analyzed by women’s health researchers at KFF. The survey was conducted from May 13 – June 18, 2024, online and by telephone among a nationally representative sample of 6,246 adults ages 18 to 64, including 3,901 women ages 18 to 49. Women include anyone who selected woman as their gender (n = 3,867) or who said they were non-binary (n = 26), transgender (n = 4), or another gender (n = 3) and chose to answer the female set of questions with regard to sexual and reproductive health. The project includes oversamples of women ages 18 to 49 in Arizona (n = 298) and Florida (n = 512). Sampling, data collection, weighting, tabulation, and IRB approval by the University of Southern Maine’s Collaborative Institutional Review Board were managed by SSRS of Glenn Mills, Pennsylvania in collaboration with women’s health researchers at KFF.
Throughout the reports of findings, we refer to “women”. This includes respondents who said their gender is “woman,” plus those who said their gender is “transgender,” or “non-binary,” or another gender and that they prefer to answer the survey’s set of questions for females. We followed this approach to try to include as many people as possible but recognize that some people who need and seek abortion and other reproductive health care services may not be represented in the findings or identify as women.
The national sample as well as the samples in Arizona and Florida were drawn from two nationally representative probability-based panels: the SSRS Opinion Panel and the Ipsos KnowledgePanel. The SSRS Opinion Panel is a nationally representative probability-based panel where panel members are recruited randomly in one of two ways: (a) Through invitations mailed to respondents randomly sampled from an Address-Based Sample (ABS) provided by Marketing Systems Groups (MSG) through the U.S. Postal Service’s Computerized Delivery Sequence (CDS); (b) from a dual-frame random digit dial (RDD) sample provided by MSG. For the online panel component, invitations were sent to panel members by email followed by up to five reminder emails. 5,276 panel members completed the survey online and panel members who do not use the internet were reached by phone (175). Another 970 respondents were reached online through the Ipsos Knowledge Panel to help reach adequate sample sizes among subgroups of interest, specifically women ages 18 to 49. This panel is recruited using ABS, based on a stratified sample from the CDS. The questionnaire was translated into Spanish, so respondents were able to complete the survey in English or Spanish.
The national sample was weighted by splitting the sample into three groups: [1] Women 18-49, [2] Women 50-64, and [3] Men 18-64 and each group was separately weighted to match known population parameters (see table below for weighting variables and sources). Weights within the three groups were then trimmed at the 4 th and 96 th percentiles, to ensure that individual respondents do not have too much influence on survey-derived estimates. After the weights were trimmed, the samples were combined, and the weights adjusted, so that the groups were represented in their proper proportions for a final combined, gender by age-adjusted weight. Lastly, two additional weights for interviews among women 18-49 in Arizona and Florida were calculated for analyses among those specific sub-groups. Each of the state-specific weights were trimmed at the 2 nd and 98 th percentiles, to ensure that individual respondents do not have too much influence on survey-derived estimates.
Age | CPS 2023 ASEC |
Education | |
Age by Education | |
Age by Gender | |
Census Region | |
Race/Ethnicity by Nativity | |
Home Tenure | |
Civic Engagement | CPS 2021 Volunteering & Civic Engagement Supplement |
Internet Frequency | SSRS Opinion Panel Database 2024 |
Population Density | ACS 206-2020 5-year data |
NEP Regions | Census Planning Database 2022 |
Voter Registration | CPS 2022 Voting & Registration Supplement |
The margins of sampling error for the national sample of reproductive age women, Arizona reproductive age women, and Florida reproductive age women are plus or minus 2 percentage points, 8 percentage points, and 6 percentage points respectively. Numbers of respondents and margins of sampling error for key subgroups are shown in the table below. For results based on other subgroups, the margin of sampling error may be higher. Sampling error is only one of many potential sources of error and there may be other unmeasured error in this survey.
3901 | ± 2 percentage points | |
White, non-Hispanic | 1856 | ± 3 percentage points |
Black, non-Hispanic | 603 | ± 5 percentage points |
Hispanic | 963 | ± 4 percentage points |
Asian | 286 | ± 7 percentage points |
<200% FPL | 1667 | ± 3 percentage points |
200%+ FPL | 1974 | ± 3 percentage points |
Pro-life | 1074 | ± 4 percentage points |
Pro-choice | 2815 | ± 2 percentage points |
Republican/Republican-leaning | 1076 | ± 4 percentage points |
Democrat/Democrat-leaning | 1803 | ± 3 percentage points |
Urban/Suburban | 3379 | ± 2 percentage points |
Rural | 473 | ± 6 percentage points |
Lives in a state where abortion is banned | 857 | ± 4 percentage points |
Lives in a state where abortion has gestational limits 6-12 weeks | 819 | ± 5 percentage points |
Lives in a state where abortion has gestational limits 15-22 weeks | 594 | ± 6 percentage points |
Lives in a state where gestational limited are 24+ weeks or none | 1631 | ± 3 percentage points |
298 | ± 8 percentage points | |
<200% FPL | 121 | ± 12 percentage points |
200%+ FPL | 162 | ± 10 percentage points |
512 | ± 6 percentage points | |
White, non-Hispanic | 229 | ± 9 percentage points |
Hispanic | 155 | ± 11 percentage points |
<200% FPL | 182 | ± 10 percentage points |
200%+ FPL | 297 | ± 8 percentage points |
Pro-life | 143 | ± 12 percentage points |
Pro-choice | 366 | ± 7 percentage points |
Republican/Republican-leaning | 169 | ± 11 percentage points |
Democrat/Democrat-leaning | 231 | ± 9 percentage points |
8 straightforward steps to craft an a-grade dissertation.
By: Derek Jansen (MBA) Expert Reviewed By: Dr Eunice Rautenbach | June 2020
Writing a dissertation or thesis is not a simple task. It takes time, energy and a lot of will power to get you across the finish line. It’s not easy – but it doesn’t necessarily need to be a painful process. If you understand the big-picture process of how to write a dissertation or thesis, your research journey will be a lot smoother.
In this post, I’m going to outline the big-picture process of how to write a high-quality dissertation or thesis, without losing your mind along the way. If you’re just starting your research, this post is perfect for you. Alternatively, if you’ve already submitted your proposal, this article which covers how to structure a dissertation might be more helpful.
This probably sounds like a no-brainer, but all too often, students come to us for help with their research and the underlying issue is that they don’t fully understand what a dissertation (or thesis) actually is.
So, what is a dissertation?
At its simplest, a dissertation or thesis is a formal piece of research , reflecting the standard research process . But what is the standard research process, you ask? The research process involves 4 key steps:
In short, the research process is simply about asking and answering questions in a systematic fashion . This probably sounds pretty obvious, but people often think they’ve done “research”, when in fact what they have done is:
If you want to see the perfect example of this in action, look out for the next Facebook post where someone claims they’ve done “research”… All too often, people consider reading a few blog posts to constitute research. Its no surprise then that what they end up with is an opinion piece, not research. Okay, okay – I’ll climb off my soapbox now.
The key takeaway here is that a dissertation (or thesis) is a formal piece of research, reflecting the research process. It’s not an opinion piece , nor a place to push your agenda or try to convince someone of your position. Writing a good dissertation involves asking a question and taking a systematic, rigorous approach to answering it.
If you understand this and are comfortable leaving your opinions or preconceived ideas at the door, you’re already off to a good start!
As we saw, the first step of the research process is to ask a specific, well-articulated question. In other words, you need to find a research topic that asks a specific question or set of questions (these are called research questions ). Sounds easy enough, right? All you’ve got to do is identify a question or two and you’ve got a winning research topic. Well, not quite…
A good dissertation or thesis topic has a few important attributes. Specifically, a solid research topic should be:
Let’s take a closer look at these:
Attribute #1: Clear
Your research topic needs to be crystal clear about what you’re planning to research, what you want to know, and within what context. There shouldn’t be any ambiguity or vagueness about what you’ll research.
Here’s an example of a clearly articulated research topic:
An analysis of consumer-based factors influencing organisational trust in British low-cost online equity brokerage firms.
As you can see in the example, its crystal clear what will be analysed (factors impacting organisational trust), amongst who (consumers) and in what context (British low-cost equity brokerage firms, based online).
Attribute #2: Unique
Your research should be asking a question(s) that hasn’t been asked before, or that hasn’t been asked in a specific context (for example, in a specific country or industry).
For example, sticking organisational trust topic above, it’s quite likely that organisational trust factors in the UK have been investigated before, but the context (online low-cost equity brokerages) could make this research unique. Therefore, the context makes this research original.
One caveat when using context as the basis for originality – you need to have a good reason to suspect that your findings in this context might be different from the existing research – otherwise, there’s no reason to warrant researching it.
Attribute #3: Important
Simply asking a unique or original question is not enough – the question needs to create value. In other words, successfully answering your research questions should provide some value to the field of research or the industry. You can’t research something just to satisfy your curiosity. It needs to make some form of contribution either to research or industry.
For example, researching the factors influencing consumer trust would create value by enabling businesses to tailor their operations and marketing to leverage factors that promote trust. In other words, it would have a clear benefit to industry.
So, how do you go about finding a unique and valuable research topic? We explain that in detail in this video post – How To Find A Research Topic . Yeah, we’ve got you covered 😊
Once you’ve pinned down a high-quality research topic, the next step is to convince your university to let you research it. No matter how awesome you think your topic is, it still needs to get the rubber stamp before you can move forward with your research. The research proposal is the tool you’ll use for this job.
So, what’s in a research proposal?
The main “job” of a research proposal is to convince your university, advisor or committee that your research topic is worthy of approval. But convince them of what? Well, this varies from university to university, but generally, they want to see that:
At the proposal stage, it’s (generally) not expected that you’ve extensively reviewed the existing literature , but you will need to show that you’ve done enough reading to identify a clear gap for original (unique) research. Similarly, they generally don’t expect that you have a rock-solid research methodology mapped out, but you should have an idea of whether you’ll be undertaking qualitative or quantitative analysis , and how you’ll collect your data (we’ll discuss this in more detail later).
Long story short – don’t stress about having every detail of your research meticulously thought out at the proposal stage – this will develop as you progress through your research. However, you do need to show that you’ve “done your homework” and that your research is worthy of approval .
So, how do you go about crafting a high-quality, convincing proposal? We cover that in detail in this video post – How To Write A Top-Class Research Proposal . We’ve also got a video walkthrough of two proposal examples here .
Once your proposal’s been approved, its time to get writing your actual dissertation or thesis! The good news is that if you put the time into crafting a high-quality proposal, you’ve already got a head start on your first three chapters – introduction, literature review and methodology – as you can use your proposal as the basis for these.
Handy sidenote – our free dissertation & thesis template is a great way to speed up your dissertation writing journey.
What’s the introduction chapter all about?
The purpose of the introduction chapter is to set the scene for your research (dare I say, to introduce it…) so that the reader understands what you’ll be researching and why it’s important. In other words, it covers the same ground as the research proposal in that it justifies your research topic.
What goes into the introduction chapter?
This can vary slightly between universities and degrees, but generally, the introduction chapter will include the following:
As you can see, this all about explaining the “what” and the “why” of your research (as opposed to the “how”). So, your introduction chapter is basically the salesman of your study, “selling” your research to the first-time reader and (hopefully) getting them interested to read more.
How do I write the introduction chapter, you ask? We cover that in detail in this post .
As I mentioned earlier, you’ll need to do some initial review of the literature in Steps 2 and 3 to find your research gap and craft a convincing research proposal – but that’s just scratching the surface. Once you reach the literature review stage of your dissertation or thesis, you need to dig a lot deeper into the existing research and write up a comprehensive literature review chapter.
What’s the literature review all about?
There are two main stages in the literature review process:
The first stage is for you to deep dive into the existing literature (journal articles, textbook chapters, industry reports, etc) to gain an in-depth understanding of the current state of research regarding your topic. While you don’t need to read every single article, you do need to ensure that you cover all literature that is related to your core research questions, and create a comprehensive catalogue of that literature , which you’ll use in the next step.
Reading and digesting all the relevant literature is a time consuming and intellectually demanding process. Many students underestimate just how much work goes into this step, so make sure that you allocate a good amount of time for this when planning out your research. Thankfully, there are ways to fast track the process – be sure to check out this article covering how to read journal articles quickly .
Once you’ve worked through the literature and digested it all, you’ll need to write up your literature review chapter. Many students make the mistake of thinking that the literature review chapter is simply a summary of what other researchers have said. While this is partly true, a literature review is much more than just a summary. To pull off a good literature review chapter, you’ll need to achieve at least 3 things:
As you can see, a good literature review is more than just a summary of the published research. It’s the foundation on which your own research is built, so it deserves a lot of love and attention. Take the time to craft a comprehensive literature review with a suitable structure .
But, how do I actually write the literature review chapter, you ask? We cover that in detail in this video post .
Once you’ve completed your literature review and have a sound understanding of the existing research, its time to develop your own research (finally!). You’ll design this research specifically so that you can find the answers to your unique research question.
There are two steps here – designing your research strategy and executing on it:
The first step is to design your research strategy and craft a methodology chapter . I won’t get into the technicalities of the methodology chapter here, but in simple terms, this chapter is about explaining the “how” of your research. If you recall, the introduction and literature review chapters discussed the “what” and the “why”, so it makes sense that the next point to cover is the “how” –that’s what the methodology chapter is all about.
In this section, you’ll need to make firm decisions about your research design. This includes things like:
If these words have got your head spinning, don’t worry! We’ll explain these in plain language in other posts. It’s not essential that you understand the intricacies of research design (yet!). The key takeaway here is that you’ll need to make decisions about how you’ll design your own research, and you’ll need to describe (and justify) your decisions in your methodology chapter.
Once you’ve worked out your research design, you’ll put it into action and start collecting your data. This might mean undertaking interviews, hosting an online survey or any other data collection method. Data collection can take quite a bit of time (especially if you host in-person interviews), so be sure to factor sufficient time into your project plan for this. Oftentimes, things don’t go 100% to plan (for example, you don’t get as many survey responses as you hoped for), so bake a little extra time into your budget here.
Once you’ve collected your data, you’ll need to do some data preparation before you can sink your teeth into the analysis. For example:
Once you’ve completed your data prep, you’ll undertake your analysis, using the techniques that you described in your methodology. Depending on what you find in your analysis, you might also do some additional forms of analysis that you hadn’t planned for. For example, you might see something in the data that raises new questions or that requires clarification with further analysis.
The type(s) of analysis that you’ll use depend entirely on the nature of your research and your research questions. For example:
Again, if these words have got your head spinning, don’t worry! We’ll explain these concepts and techniques in other posts. The key takeaway is simply that there’s no “one size fits all” for research design and methodology – it all depends on your topic, your research questions and your data. So, don’t be surprised if your study colleagues take a completely different approach to yours.
Once you’ve completed your analysis, it’s time to present your findings (finally!). In a dissertation or thesis, you’ll typically present your findings in two chapters – the results chapter and the discussion chapter .
What’s the difference between the results chapter and the discussion chapter?
While these two chapters are similar, the results chapter generally just presents the processed data neatly and clearly without interpretation, while the discussion chapter explains the story the data are telling – in other words, it provides your interpretation of the results.
For example, if you were researching the factors that influence consumer trust, you might have used a quantitative approach to identify the relationship between potential factors (e.g. perceived integrity and competence of the organisation) and consumer trust. In this case:
Depending on the university and degree, these two chapters (results and discussion) are sometimes merged into one , so be sure to check with your institution what their preference is. Regardless of the chapter structure, this section is about presenting the findings of your research in a clear, easy to understand fashion.
Importantly, your discussion here needs to link back to your research questions (which you outlined in the introduction or literature review chapter). In other words, it needs to answer the key questions you asked (or at least attempt to answer them).
For example, if we look at the sample research topic:
In this case, the discussion section would clearly outline which factors seem to have a noteworthy influence on organisational trust. By doing so, they are answering the overarching question and fulfilling the purpose of the research .
For more information about the results chapter , check out this post for qualitative studies and this post for quantitative studies .
Last but not least, you’ll need to wrap up your research with the conclusion chapter . In this chapter, you’ll bring your research full circle by highlighting the key findings of your study and explaining what the implications of these findings are.
What exactly are key findings? The key findings are those findings which directly relate to your original research questions and overall research objectives (which you discussed in your introduction chapter). The implications, on the other hand, explain what your findings mean for industry, or for research in your area.
Sticking with the consumer trust topic example, the conclusion might look something like this:
Key findings
This study set out to identify which factors influence consumer-based trust in British low-cost online equity brokerage firms. The results suggest that the following factors have a large impact on consumer trust:
While the following factors have a very limited impact on consumer trust:
Notably, within the 25-30 age groups, Factors E had a noticeably larger impact, which may be explained by…
Implications
The findings having noteworthy implications for British low-cost online equity brokers. Specifically:
The large impact of Factors X and Y implies that brokers need to consider….
The limited impact of Factor E implies that brokers need to…
As you can see, the conclusion chapter is basically explaining the “what” (what your study found) and the “so what?” (what the findings mean for the industry or research). This brings the study full circle and closes off the document.
You’re still with me? Impressive! I know that this post was a long one, but hopefully you’ve learnt a thing or two about how to write a dissertation or thesis, and are now better equipped to start your own research.
To recap, the 8 steps to writing a quality dissertation (or thesis) are as follows:
Once you’ve wrapped up the core chapters, all that’s typically left is the abstract , reference list and appendices. As always, be sure to check with your university if they have any additional requirements in terms of structure or content.
This post was based on one of our popular Research Bootcamps . If you're working on a research project, you'll definitely want to check this out ...
thankfull >>>this is very useful
Thank you, it was really helpful
unquestionably, this amazing simplified way of teaching. Really , I couldn’t find in the literature words that fully explicit my great thanks to you. However, I could only say thanks a-lot.
Great to hear that – thanks for the feedback. Good luck writing your dissertation/thesis.
This is the most comprehensive explanation of how to write a dissertation. Many thanks for sharing it free of charge.
Very rich presentation. Thank you
Thanks Derek Jansen|GRADCOACH, I find it very useful guide to arrange my activities and proceed to research!
Thank you so much for such a marvelous teaching .I am so convinced that am going to write a comprehensive and a distinct masters dissertation
It is an amazing comprehensive explanation
This was straightforward. Thank you!
I can say that your explanations are simple and enlightening – understanding what you have done here is easy for me. Could you write more about the different types of research methods specific to the three methodologies: quan, qual and MM. I look forward to interacting with this website more in the future.
Thanks for the feedback and suggestions 🙂
Hello, your write ups is quite educative. However, l have challenges in going about my research questions which is below; *Building the enablers of organisational growth through effective governance and purposeful leadership.*
Very educating.
Just listening to the name of the dissertation makes the student nervous. As writing a top-quality dissertation is a difficult task as it is a lengthy topic, requires a lot of research and understanding and is usually around 10,000 to 15000 words. Sometimes due to studies, unbalanced workload or lack of research and writing skill students look for dissertation submission from professional writers.
Thank you 💕😊 very much. I was confused but your comprehensive explanation has cleared my doubts of ever presenting a good thesis. Thank you.
thank you so much, that was so useful
Hi. Where is the excel spread sheet ark?
could you please help me look at your thesis paper to enable me to do the portion that has to do with the specification
my topic is “the impact of domestic revenue mobilization.
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The structure of a dissertation methodology can vary depending on your field of study, the nature of your research, and the guidelines of your institution. However, a standard structure typically includes the following elements: Introduction: Briefly introduce your overall approach to the research.
Learn how to write up a high-quality research methodology chapter for your dissertation or thesis. Step by step instructions + examples.
Your research methodology discusses and explains the data collection and analysis methods you used in your research. A key part of your thesis, dissertation, or research paper, the methodology chapter explains what you did and how you did it, allowing readers to evaluate the reliability and validity of your research and your dissertation topic.
The dissertation methodology forms the skeleton of any research project. It provides the reader with a clear outline of the methods you decided to use when carrying out your research. By studying your dissertation methodology, the reader will be able to assess your research in terms of its validity and reliability.
Your research methodology discusses and explains the data collection and analysis methods you used in your research. A key part of your thesis,
Overview of methodology: This section out-lines the methodological type or approach, the research setting, the sample, instrumen-tation (if relevant), and methods of data collection and analysis used.
Research Methodology Example. Detailed Walkthrough + Free Methodology Chapter Template. If you're working on a dissertation or thesis and are looking for an example of a research methodology chapter, you've come to the right place. In this video, we walk you through a research methodology from a dissertation that earned full distinction ...
The Methodology chapter is perhaps the part of a qualitative thesis that is most unlike its equivalent in a quantitative study. Students doing quantitative research have an established conventional 'model' to work to, which comprises these possible elements: Overview of the Experiment/Design Population/Sample Location
This template covers all the core components required in the methodology section of a typical dissertation, thesis or research paper, including: The opening section. Research philosophy. Research type. Research strategy. Time horizon. Sampling strategy. Data collection methods. Data analysis methods.
Through this blog, we'll unravel the complexities and meaning of research methodology in academic writing, from its fundamental principles and ethics to the diverse types of research methodology in use today. Alongside offering research methodology examples, we aim to guide you on how to write research methodology, ensuring your research endeavors are both impactful and impeccably grounded ...
In this comprehensive guide, you will learn what is a methodology and the step-by-step guide to writing the perfect methodology for your dissertation.
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.
The methodology chapter should reference your use of quantitative research, qualitative research and/or mixed methods. The following is a description of each along with their advantages and disadvantages.
Your Methods Section contextualizes the results of your study, giving editors, reviewers and readers alike the information they need to understand and interpret your work. Your methods are key to establishing the credibility of your study, along with your data and the results themselves. A complete methods section should provide enough detail for a skilled researcher to replicate your process ...
This 'Writing the Dissertation' guide focuses on the method or methodology. It demonstrates what is usually included in the methodology chapter and outlines how this chapter connects to others in a typical dissertation.
Research Methods | Definitions, Types, Examples Research methods are specific procedures for collecting and analyzing data. Developing your research methods is an integral part of your research design. When planning your methods, there are two key decisions you will make.
The chapter will discuss in detail the various stages of developing the methodology of the current study. This includes a detailed discussion of the philosophical background of the research method chosen. In addition to this, the chapter describes the data collection strategy, including the selection of research instrumentation and sampling.
Dissertation Chapter 3 Sample. be be 1. Describe. quantitative, CHAPTER III: METHOD introduce the qualitative, the method of the chapter and mixed-methods). used (i.e. The purpose of this chapter is to introduce the research methodology for this. methodology the specific connects to it question(s). research.
Learn exactly what a research methodology is with Grad Coach's plain language, easy-to-understand explanation, including examples and videos.
The dissertation methodology is a section that explains how the research was conducted, connecting various important aspects. It outlines the research design and approach used, providing the overall framework for the study. In this section, you should identify the research strategies, data collection methods, analysis tools and ethical ...
Dissertation examples. Listed below are some of the best examples of research projects and dissertations from undergraduate and taught postgraduate students at the University of Leeds. We have not been able to gather examples from all schools. The module requirements for research projects may have changed since these examples were written.
Find out what a research proposal is and when you should write it. This article also has expert tips and advice on how to write one, along with research proposal examples.
Discover the definition, purpose, and essential components of a dissertation preface with examples. Learn how to write and differentiate it from acknowledgements.
This comprehensive guide explores how to write an effective literature review, complete with practical examples and expert tips using WPS Office in 2024.
What marketing research methods are right for you? Here are nine of the most effective, when you should use them, and how to set them up for success.
The methodology chapter is a crucial part of your dissertation or thesis - it's where you provide context and justification for your study's design. This in turn demonstrates your understanding of research theory, which is what earns you marks.
Wondering how long should a thesis statement be? Here is a comprehensive guide based on the overall length of your academic works.
Learn how to start an essay in 2024 with these steps and examples. Master introductions, body paragraphs, and conclusions to create impactful essays.
The national sample as well as the samples in Arizona and Florida were drawn from two nationally representative probability-based panels: the SSRS Opinion Panel and the Ipsos KnowledgePanel.
Learn how to write a top-notch dissertation or thesis with Grad Coach's straightforward 8-step guide (including examples and videos).