the aim of a dissertation

  • Aims and Objectives – A Guide for Academic Writing
  • Doing a PhD

One of the most important aspects of a thesis, dissertation or research paper is the correct formulation of the aims and objectives. This is because your aims and objectives will establish the scope, depth and direction that your research will ultimately take. An effective set of aims and objectives will give your research focus and your reader clarity, with your aims indicating what is to be achieved, and your objectives indicating how it will be achieved.

Introduction

There is no getting away from the importance of the aims and objectives in determining the success of your research project. Unfortunately, however, it is an aspect that many students struggle with, and ultimately end up doing poorly. Given their importance, if you suspect that there is even the smallest possibility that you belong to this group of students, we strongly recommend you read this page in full.

This page describes what research aims and objectives are, how they differ from each other, how to write them correctly, and the common mistakes students make and how to avoid them. An example of a good aim and objectives from a past thesis has also been deconstructed to help your understanding.

What Are Aims and Objectives?

Research aims.

A research aim describes the main goal or the overarching purpose of your research project.

In doing so, it acts as a focal point for your research and provides your readers with clarity as to what your study is all about. Because of this, research aims are almost always located within its own subsection under the introduction section of a research document, regardless of whether it’s a thesis , a dissertation, or a research paper .

A research aim is usually formulated as a broad statement of the main goal of the research and can range in length from a single sentence to a short paragraph. Although the exact format may vary according to preference, they should all describe why your research is needed (i.e. the context), what it sets out to accomplish (the actual aim) and, briefly, how it intends to accomplish it (overview of your objectives).

To give an example, we have extracted the following research aim from a real PhD thesis:

Example of a Research Aim

The role of diametrical cup deformation as a factor to unsatisfactory implant performance has not been widely reported. The aim of this thesis was to gain an understanding of the diametrical deformation behaviour of acetabular cups and shells following impaction into the reamed acetabulum. The influence of a range of factors on deformation was investigated to ascertain if cup and shell deformation may be high enough to potentially contribute to early failure and high wear rates in metal-on-metal implants.

Note: Extracted with permission from thesis titled “T he Impact And Deformation Of Press-Fit Metal Acetabular Components ” produced by Dr H Hothi of previously Queen Mary University of London.

Research Objectives

Where a research aim specifies what your study will answer, research objectives specify how your study will answer it.

They divide your research aim into several smaller parts, each of which represents a key section of your research project. As a result, almost all research objectives take the form of a numbered list, with each item usually receiving its own chapter in a dissertation or thesis.

Following the example of the research aim shared above, here are it’s real research objectives as an example:

Example of a Research Objective

  • Develop finite element models using explicit dynamics to mimic mallet blows during cup/shell insertion, initially using simplified experimentally validated foam models to represent the acetabulum.
  • Investigate the number, velocity and position of impacts needed to insert a cup.
  • Determine the relationship between the size of interference between the cup and cavity and deformation for different cup types.
  • Investigate the influence of non-uniform cup support and varying the orientation of the component in the cavity on deformation.
  • Examine the influence of errors during reaming of the acetabulum which introduce ovality to the cavity.
  • Determine the relationship between changes in the geometry of the component and deformation for different cup designs.
  • Develop three dimensional pelvis models with non-uniform bone material properties from a range of patients with varying bone quality.
  • Use the key parameters that influence deformation, as identified in the foam models to determine the range of deformations that may occur clinically using the anatomic models and if these deformations are clinically significant.

It’s worth noting that researchers sometimes use research questions instead of research objectives, or in other cases both. From a high-level perspective, research questions and research objectives make the same statements, but just in different formats.

Taking the first three research objectives as an example, they can be restructured into research questions as follows:

Restructuring Research Objectives as Research Questions

  • Can finite element models using simplified experimentally validated foam models to represent the acetabulum together with explicit dynamics be used to mimic mallet blows during cup/shell insertion?
  • What is the number, velocity and position of impacts needed to insert a cup?
  • What is the relationship between the size of interference between the cup and cavity and deformation for different cup types?

Difference Between Aims and Objectives

Hopefully the above explanations make clear the differences between aims and objectives, but to clarify:

  • The research aim focus on what the research project is intended to achieve; research objectives focus on how the aim will be achieved.
  • Research aims are relatively broad; research objectives are specific.
  • Research aims focus on a project’s long-term outcomes; research objectives focus on its immediate, short-term outcomes.
  • A research aim can be written in a single sentence or short paragraph; research objectives should be written as a numbered list.

How to Write Aims and Objectives

Before we discuss how to write a clear set of research aims and objectives, we should make it clear that there is no single way they must be written. Each researcher will approach their aims and objectives slightly differently, and often your supervisor will influence the formulation of yours on the basis of their own preferences.

Regardless, there are some basic principles that you should observe for good practice; these principles are described below.

Your aim should be made up of three parts that answer the below questions:

  • Why is this research required?
  • What is this research about?
  • How are you going to do it?

The easiest way to achieve this would be to address each question in its own sentence, although it does not matter whether you combine them or write multiple sentences for each, the key is to address each one.

The first question, why , provides context to your research project, the second question, what , describes the aim of your research, and the last question, how , acts as an introduction to your objectives which will immediately follow.

Scroll through the image set below to see the ‘why, what and how’ associated with our research aim example.

Explaining aims vs objectives

Note: Your research aims need not be limited to one. Some individuals per to define one broad ‘overarching aim’ of a project and then adopt two or three specific research aims for their thesis or dissertation. Remember, however, that in order for your assessors to consider your research project complete, you will need to prove you have fulfilled all of the aims you set out to achieve. Therefore, while having more than one research aim is not necessarily disadvantageous, consider whether a single overarching one will do.

Research Objectives

Each of your research objectives should be SMART :

  • Specific – is there any ambiguity in the action you are going to undertake, or is it focused and well-defined?
  • Measurable – how will you measure progress and determine when you have achieved the action?
  • Achievable – do you have the support, resources and facilities required to carry out the action?
  • Relevant – is the action essential to the achievement of your research aim?
  • Timebound – can you realistically complete the action in the available time alongside your other research tasks?

In addition to being SMART, your research objectives should start with a verb that helps communicate your intent. Common research verbs include:

Table of Research Verbs to Use in Aims and Objectives

Last, format your objectives into a numbered list. This is because when you write your thesis or dissertation, you will at times need to make reference to a specific research objective; structuring your research objectives in a numbered list will provide a clear way of doing this.

To bring all this together, let’s compare the first research objective in the previous example with the above guidance:

Checking Research Objective Example Against Recommended Approach

Research Objective:

1. Develop finite element models using explicit dynamics to mimic mallet blows during cup/shell insertion, initially using simplified experimentally validated foam models to represent the acetabulum.

Checking Against Recommended Approach:

Q: Is it specific? A: Yes, it is clear what the student intends to do (produce a finite element model), why they intend to do it (mimic cup/shell blows) and their parameters have been well-defined ( using simplified experimentally validated foam models to represent the acetabulum ).

Q: Is it measurable? A: Yes, it is clear that the research objective will be achieved once the finite element model is complete.

Q: Is it achievable? A: Yes, provided the student has access to a computer lab, modelling software and laboratory data.

Q: Is it relevant? A: Yes, mimicking impacts to a cup/shell is fundamental to the overall aim of understanding how they deform when impacted upon.

Q: Is it timebound? A: Yes, it is possible to create a limited-scope finite element model in a relatively short time, especially if you already have experience in modelling.

Q: Does it start with a verb? A: Yes, it starts with ‘develop’, which makes the intent of the objective immediately clear.

Q: Is it a numbered list? A: Yes, it is the first research objective in a list of eight.

Mistakes in Writing Research Aims and Objectives

1. making your research aim too broad.

Having a research aim too broad becomes very difficult to achieve. Normally, this occurs when a student develops their research aim before they have a good understanding of what they want to research. Remember that at the end of your project and during your viva defence , you will have to prove that you have achieved your research aims; if they are too broad, this will be an almost impossible task. In the early stages of your research project, your priority should be to narrow your study to a specific area. A good way to do this is to take the time to study existing literature, question their current approaches, findings and limitations, and consider whether there are any recurring gaps that could be investigated .

Note: Achieving a set of aims does not necessarily mean proving or disproving a theory or hypothesis, even if your research aim was to, but having done enough work to provide a useful and original insight into the principles that underlie your research aim.

2. Making Your Research Objectives Too Ambitious

Be realistic about what you can achieve in the time you have available. It is natural to want to set ambitious research objectives that require sophisticated data collection and analysis, but only completing this with six months before the end of your PhD registration period is not a worthwhile trade-off.

3. Formulating Repetitive Research Objectives

Each research objective should have its own purpose and distinct measurable outcome. To this effect, a common mistake is to form research objectives which have large amounts of overlap. This makes it difficult to determine when an objective is truly complete, and also presents challenges in estimating the duration of objectives when creating your project timeline. It also makes it difficult to structure your thesis into unique chapters, making it more challenging for you to write and for your audience to read.

Fortunately, this oversight can be easily avoided by using SMART objectives.

Hopefully, you now have a good idea of how to create an effective set of aims and objectives for your research project, whether it be a thesis, dissertation or research paper. While it may be tempting to dive directly into your research, spending time on getting your aims and objectives right will give your research clear direction. This won’t only reduce the likelihood of problems arising later down the line, but will also lead to a more thorough and coherent research project.

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the aim of a dissertation

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How to Write Aims and Objectives for your Dissertation or Thesis?

Aims and Objectives Section for PhD Dissertation

Introduction

Understanding aims and objectives, crafting aims, break it down into objectives, developing specific objectives, align with research questions, consider feasibility, review and refine, seek feedback, documenting aims and objectives.

In a PhD or Post Graduate dissertation, the aims and objectives play a crucial role in shaping the research process and ensuring focus. They provide a clear roadmap for your study and serve as the guiding principles that steer your research in the right direction.

Aims represent the broader purpose or the overarching goal of your research. They define what you want to achieve with your dissertation. For example, let’s say you’re conducting a study on renewable energy sources. Your aim could be to analyze the economic viability and environmental impact of solar energy adoption in residential areas.

Objectives, on the other hand, break down the aim into specific, measurable, and achievable targets that help you accomplish your research goal. They outline the specific steps or tasks you need to undertake to fulfill the aim. Continuing with the previous example, some objectives could be:

  • Evaluate the current state of solar energy technologies and their efficiency.
  • Assess the economic costs and benefits associated with the installation of solar panels in residential areas.
  • Analyze the environmental impact of solar energy adoption in terms of carbon emissions reduction.
  • Investigate the potential barriers to the widespread adoption of solar energy in residential communities.
  • Develop recommendations for policymakers and stakeholders to promote the use of solar energy in residential areas.

These objectives, when combined, address different aspects related to the aim of analyzing the economic viability and environmental impact of solar energy adoption. Each objective guides a specific aspect of the research and contributes to answering the research questions.

By having clear aims and objectives, you establish a solid framework for your study. They help you stay focused on the main purpose of your research and prevent you from getting sidetracked or overwhelmed by tangential topics. Moreover, they provide clarity to both you and your readers, ensuring that your research remains coherent and well-structured.

In summary, clear aims and objectives are instrumental in guiding the research process of a PhD dissertation. They provide a roadmap, define the research goal, and break it down into specific targets. Through the example provided, it is evident how aims and objectives bring focus to a study on renewable energy sources and solar energy adoption in residential areas.

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Aims and objectives play a crucial role in guiding research projects. It’s important to define these terms and differentiate between them to ensure a clear focus in your work.

Aims represent the broader purpose or goal of your study. They define what you aim to achieve through your research project. Aims provide the overarching context and direction for your work, guiding the selection of topics, methodologies, and outcomes.

Example: Suppose you’re working on a PhD dissertation in computer science with a focus on natural language processing. Your aim could be: “To develop an efficient and accurate algorithm for sentiment analysis in social media data.”

In this example, the aim highlights the objective of creating an algorithm specifically for sentiment analysis in social media data, indicating the main objective of your research.

Objectives break down the aim into specific, measurable, and achievable targets that contribute to achieving the overall goal. They are more focused and concrete than aims, outlining the steps or tasks necessary to fulfill the aim. Objectives serve as the building blocks of your research, guiding the implementation and evaluation of your work.

Example: Continuing with the previous aim, let’s define some specific objectives:

  • Collect and preprocess a large dataset of social media posts for sentiment analysis.
  • Explore and compare existing sentiment analysis techniques to identify their limitations and strengths.
  • Design and develop a novel algorithm that addresses the limitations of current approaches.
  • Implement the algorithm and evaluate its performance on the collected dataset.
  • Analyze the results and compare them with existing state-of-the-art sentiment analysis methods.

These objectives, when combined, address different aspects necessary to fulfill the aim of developing an efficient and accurate sentiment analysis algorithm for social media data. Each objective represents a specific task or milestone that contributes to the overall research goal.

The relationship between aims and objectives is critical in driving research. Objectives are derived from the aim and provide the means to accomplish it. They act as stepping stones, guiding the researcher towards achieving the broader aim.

In summary, aims provide the broader context and goal, while objectives break down the aim into specific tasks and milestones. Together, they ensure focus and direction in your research, guiding the selection of topics, methodologies, and outcomes. The objectives serve as the means to achieve the overall aim, highlighting the relationship between aims and objectives in driving research in the computer science domain.

Formulating the overarching aim of your research is a crucial step in defining the direction and purpose of your dissertation. The aim represents the primary goal or intention of your study, and crafting it effectively is essential for setting the foundation of your research.

Research Topic: Enhancing cybersecurity in cloud computing environments.

In this example, the aim focuses on improving cybersecurity in the context of cloud computing. The aim should be formulated in a concise and focused manner that aligns with the research topic. Here’s an example of how the aim could be crafted effectively:

Aim: Develop an efficient and robust security framework for ensuring data confidentiality, integrity, and availability in cloud computing environments.

The above aim encapsulates the overall goal of the research, which is to develop a security framework for enhancing cybersecurity in cloud computing. It clearly states the intention to address key aspects such as data confidentiality, integrity, and availability. The aim is concise, specific, and directly aligned with the research topic.

The significance of a well-defined aim cannot be overstated. It serves as a guiding beacon throughout your research journey, providing a clear direction and purpose. A well-crafted aim helps you stay focused and ensures that your efforts are aligned with the research’s core objectives. It also helps you communicate the purpose of your study to others, including your advisor, peers, and potential readers of your dissertation.

Additionally, an effective aim sets the stage for the subsequent development of specific objectives and research questions. It serves as a foundation upon which you can break down the aim into smaller, manageable objectives that contribute to achieving the overall research goal. Each objective should align with the aim and work together harmoniously to address the research questions and gaps in the field.

Moreover, a concise and aligned aim allows readers to quickly grasp the essence of your research. It provides them with a clear understanding of the research’s scope and purpose. By stating the aim concisely and aligning it with the research topic, you demonstrate your ability to articulate the core objective of your study in a succinct manner.

In summary, crafting effective aims involves formulating the overarching goal or intention of your research in a concise and focused manner. A well-defined aim sets the direction for your dissertation, guiding your efforts and ensuring alignment with the research topic. It serves as a foundation for the development of specific objectives and research questions. By presenting a clear and aligned aim, you convey the purpose of your study to others and demonstrate your ability to articulate the core objective of your research.

After defining the aim of your research, it’s important to break it down into smaller, manageable objectives. These objectives should address key research questions or subtopics that are necessary to achieve the overall aim. Additionally, objectives should be specific, measurable, and utilize action verbs to describe the intended actions or achievements.

Example: Suppose the aim of your research is to develop a recommendation system for an e-commerce platform. Here are some examples of specific objectives:

  • Action Verbs: Analyze, Identify
  • Description: Gather and analyze user preferences and historical data from the e-commerce platform to identify patterns in user behavior and item preferences.
  • Action Verbs: Design, Implement
  • Description: Develop and implement collaborative filtering algorithms, such as user-based or item-based methods, to generate personalized recommendations based on user similarities or item similarities.
  • Action Verbs: Incorporate
  • Description: Integrate machine learning techniques, such as matrix factorization or deep learning models, into the recommendation system to improve the accuracy and personalization of the recommendations.
  • Action Verbs: Evaluate
  • Description: Conduct experiments and evaluate the performance of the recommendation system using appropriate evaluation metrics, such as precision, recall, or mean average precision, to assess the effectiveness and efficiency of the system.
  • Action Verbs: Optimize
  • Description: Identify and implement optimization techniques, such as parallel computing or distributed systems, to enhance the scalability and efficiency of the recommendation algorithm, allowing it to handle large-scale datasets and real-time recommendations.

By breaking down the aim into these specific objectives, you address key components of developing a recommendation system, such as data analysis, algorithm design, evaluation, and optimization. Each objective represents a distinct step that contributes to achieving the overall aim.

Importantly, these objectives are specific and measurable, allowing you to determine whether you have successfully achieved them. For instance, you can measure the accuracy of the recommendation system, evaluate its performance against baseline models, or assess its scalability in terms of handling large datasets.

In summary, when conducting research, breaking down the aim into specific objectives helps in managing the workload and providing a clear roadmap for your research. These objectives should address key research questions or subtopics, be specific and measurable, and use action verbs to describe the intended actions or achievements. By following this approach, you can ensure a systematic and focused research process.

To develop specific objectives for your research, you need to break down the overarching aim into smaller, measurable objectives. These objectives should be clear, specific, and actionable, providing a roadmap for your research and guiding the entire research process.

Aim: Develop a machine learning-based system for automated sentiment analysis in social media data.

Objective 1: Conduct a comprehensive literature review on existing sentiment analysis techniques and methodologies.

  • Breakdown: This objective focuses on reviewing the literature in the field of sentiment analysis, specifically examining the various techniques and methodologies that have been developed and applied. It involves gathering and analyzing research papers, books, and other relevant sources to gain a comprehensive understanding of the existing knowledge in sentiment analysis.

Objective 2: Collect a large dataset of social media posts for training and evaluation.

  • Breakdown: This objective entails the collection of a substantial amount of social media data that will be used as input for training and evaluating the machine learning model. It involves designing data collection mechanisms, such as web scraping or utilizing available APIs, to gather a diverse set of social media posts from platforms like Twitter or Facebook.

Objective 3: Design and implement a machine learning algorithm capable of accurately detecting sentiment polarity in social media text.

  • Breakdown: This objective focuses on the development of a machine learning algorithm tailored for sentiment analysis in social media text. It involves designing and implementing the necessary algorithms, selecting appropriate feature representations, and training a model to accurately classify sentiment polarity (positive, negative, or neutral) of social media posts.

Objective 4: Evaluate the performance of the developed sentiment analysis system against benchmark datasets and compare it with existing state-of-the-art approaches.

  • Breakdown: This objective involves assessing the performance of the developed sentiment analysis system by evaluating it against established benchmark datasets. It requires selecting appropriate evaluation metrics and comparing the system’s performance with existing state-of-the-art approaches in sentiment analysis, such as accuracy, precision, recall, or F1 score.

The importance of clear, specific objectives cannot be overstated. These objectives provide a clear roadmap and direction for your research, guiding your efforts and ensuring that you stay on track. They help you structure your research activities, allocate resources effectively, and measure progress along the way.

Using action verbs to articulate objectives effectively is another crucial aspect. Action verbs convey specific actions or achievements that need to be accomplished. They provide clarity and precision, leaving no room for ambiguity. For example:

By using action verbs, you explicitly state what needs to be done or achieved in each objective, making it easier to track progress and assess the completion of objectives.

In summary, developing specific objectives involves breaking down the overarching aim into smaller, measurable objectives. Clear and specific objectives provide a roadmap for your research and guide the entire research process. By using action verbs, you articulate objectives effectively, leaving no room for ambiguity. These objectives help structure your research activities, allocate resources effectively, and measure progress, ultimately leading to the successful completion of your research.

When formulating objectives for your research, it is essential to ensure that they align with the research questions you have formulated. Each objective should contribute to addressing or answering a specific research question, creating a cohesive and focused research framework.

Example: Suppose your research in computer science focuses on developing an automated system for detecting and preventing cybersecurity threats. Here are examples of objectives aligned with research questions:

Research Question: How can machine learning algorithms be utilized to detect and mitigate cybersecurity threats effectively?

Objective 1: Evaluate and compare different machine learning algorithms for cybersecurity threat detection.

  • Description: Explore and assess various machine learning algorithms, such as decision trees, random forests, or neural networks, to identify the most suitable approach for detecting cybersecurity threats accurately and efficiently.

Objective 2: Develop a dataset representative of diverse cybersecurity threats.

  • Description: Create a comprehensive dataset containing various types of cybersecurity threats, including malware, phishing attacks, and network intrusions, to train and evaluate the machine learning models effectively.

Research Question: What are the key challenges and vulnerabilities in existing cybersecurity systems that need to be addressed?

Objective 3: Conduct a systematic analysis of existing cybersecurity systems and identify vulnerabilities.

  • Description: Analyze and evaluate existing cybersecurity systems, such as intrusion detection systems or antivirus software, to identify vulnerabilities, weaknesses, and potential areas of improvement that can inform the development of a more robust automated system.

Objective 4: Propose novel techniques to enhance the resilience of the cybersecurity system.

  • Description: Develop innovative approaches, such as anomaly detection algorithms or behavior-based analysis techniques, to enhance the resilience of the automated cybersecurity system and address the identified vulnerabilities.

By aligning the objectives with the research questions, you ensure that each objective contributes to addressing a specific aspect of your research. For example, Objective 1 directly addresses the research question regarding the utilization of machine learning algorithms for cybersecurity threat detection. Objective 3 focuses on analyzing existing systems to identify vulnerabilities, which is in line with the question about challenges and vulnerabilities in existing cybersecurity systems.

The alignment between research questions and objectives helps maintain a clear focus on the research objectives and ensures that your efforts are directed towards addressing the research questions. It also enhances the coherence of your research, as each objective becomes a stepping stone towards answering the research questions and achieving the overall aim of your study.

In summary, aligning objectives with research questions is crucial in research. It ensures that each objective contributes to answering or addressing a specific research question, creating a logical and cohesive framework for your study. By establishing this alignment, you can maintain a clear focus on the research objectives and make meaningful contributions to the field.

When setting objectives for your research, it is important to consider their feasibility. Feasibility refers to the realistic achievability of your objectives within the scope of your PhD research, taking into account available resources, time constraints, and other practical limitations.

Example: Suppose your research focuses on developing a new algorithm for real-time video processing and analysis. Here are examples of objectives that consider feasibility:

Objective 1: Implement the real-time video processing algorithm on a high-performance computing cluster.

  • Feasibility Considerations: Before setting this objective, assess whether you have access to a high-performance computing cluster and the necessary resources (e.g., hardware, software, computational power) to support the implementation and testing of the algorithm. If such resources are available within your research environment or institution, this objective is feasible.

Objective 2: Collect and annotate a large-scale video dataset for algorithm training and evaluation.

  • Feasibility Considerations: Consider the practical aspects of collecting and annotating a large-scale video dataset. Evaluate the time, manpower, and equipment required for this task. Assess whether you have access to the necessary resources (e.g., cameras, storage, annotation tools) and the capability to manage and process such a dataset. If these resources and capabilities are available within your research context, this objective is feasible.

Objective 3: Collaborate with industry partners to obtain real-world video data for testing and validation.

  • Feasibility Considerations: Evaluate the feasibility of establishing collaborations with industry partners to obtain real-world video data. Consider factors such as data sharing agreements, legal and privacy considerations, and the willingness of industry partners to provide access to their data. Assess the potential challenges and limitations that may arise during this collaboration process. If such collaborations are feasible and can be established within the constraints of your research, this objective is feasible.

By considering feasibility, you ensure that your objectives are realistically achievable within the resources, time, and other constraints of your PhD research. It helps you avoid setting objectives that are too ambitious or beyond the scope of what you can reasonably accomplish.

Feasibility assessment is crucial in ensuring the successful completion of your research project. It allows you to allocate resources effectively, manage your time, and avoid potential pitfalls or setbacks that could hinder your progress. By setting feasible objectives, you can maintain a practical and manageable research plan that is more likely to lead to meaningful outcomes within the given constraints.

In summary, considering feasibility when setting objectives in computer science research is essential. Assess the available resources, time constraints, and practical limitations to ensure that your objectives are realistically achievable within the scope of your PhD research. By doing so, you can plan and execute your research effectively, making the most of the resources at your disposal and increasing the likelihood of successful outcomes.

Once you have defined your aims and objectives for your research, it’s important to review and refine them to ensure clarity, coherence, and logical flow. This step allows you to make any necessary revisions to ensure that your aims and objectives accurately reflect the scope and purpose of your research.

Example: Suppose your research in computer science focuses on developing a mobile application for enhancing cybersecurity awareness among smartphone users. Here’s an example of reviewing and refining aims and objectives:

Aim: Develop a mobile application for enhancing cybersecurity awareness among smartphone users.

Objective 1: Conduct a comprehensive literature review on cybersecurity awareness strategies and mobile application design principles.

  • Review and Refinement: Upon review, you find that the objective is clear and aligned with the aim. However, you decide to refine it to include specific aspects you intend to cover in the literature review, such as user education techniques, persuasive design elements, and existing cybersecurity awareness mobile applications.

Objective 2: Design and develop a user-friendly mobile application prototype that delivers educational content and interactive features.

  • Review and Refinement: During the review, you realize that the objective lacks specificity regarding the educational content and interactive features. You refine it to explicitly mention the inclusion of topics like phishing prevention, password management, and interactive quizzes to reinforce learning.

Objective 3: Conduct usability testing and collect feedback from potential users to evaluate the effectiveness of the mobile application.

  • Review and Refinement: While reviewing, you realize that the objective could benefit from additional information. You refine it to include details such as the target user group (e.g., smartphone users aged 18-35), the number of participants you plan to involve in the usability testing, and the specific metrics you will use to evaluate the effectiveness of the application.

By reviewing and refining your aims and objectives, you ensure that they accurately capture the scope and purpose of your research. It helps you identify any gaps, ambiguities, or areas that need further clarification. Through this process, you can enhance the clarity, coherence, and logical flow of your aims and objectives, making them more robust and aligned with your research goals.

Additionally, reviewing and refining your aims and objectives allows you to align them with the current state of knowledge in the field. As you conduct literature reviews and gain more insights into existing research, you may discover the need to make adjustments to your aims and objectives to reflect the most relevant and up-to-date information.

In summary, reviewing and refining aims and objectives in research is essential to ensure clarity, coherence, and logical flow. By carefully reviewing each aim and objective, you can identify areas for improvement, refine them to include specific details, and align them with the current state of knowledge in the field. This process enhances the accuracy and effectiveness of your aims and objectives, providing a strong foundation for your research.

Once you have developed your aims and objectives for your research, it is important to seek feedback from your supervisor or peers. Sharing your aims and objectives with others allows you to gather valuable insights, suggestions, and perspectives that can help refine and improve your objectives, ensuring they are appropriate and aligned with your research.

Imagine you have formulated the following objectives for your computer science research on developing an intelligent tutoring system:

Objective 1: Conduct a literature review on existing intelligent tutoring systems and their effectiveness in enhancing student learning outcomes.

Objective 2: Design and develop an adaptive learning algorithm to personalize the tutoring experience based on individual student needs.

Objective 3: Implement a user-friendly interface for the intelligent tutoring system that provides an intuitive and engaging learning environment.

Objective 4: Evaluate the effectiveness of the developed intelligent tutoring system through a series of user studies and compare it with traditional tutoring methods.

At this stage, it would be beneficial to share your aims and objectives with your supervisor or peers to receive feedback. They can provide valuable insights and suggestions to help you refine and improve your objectives. For example:

  • Your supervisor may suggest including a specific research question to further clarify the focus of Objective 1, such as “What are the key features and techniques used in successful intelligent tutoring systems?”
  • Peers may provide feedback on the clarity and specificity of Objective 2, suggesting adding details on the specific adaptability mechanisms to be incorporated.
  • Your supervisor might suggest considering the inclusion of usability testing as part of Objective 3 to ensure the interface meets the needs and preferences of the target users.
  • Peers may offer suggestions on additional evaluation metrics or experimental setups to strengthen Objective 4 and provide more robust comparisons.

By seeking feedback, you open yourself up to constructive criticism and valuable perspectives that can help enhance the quality and effectiveness of your aims and objectives. Feedback from experienced researchers or knowledgeable peers can help you identify any potential gaps or weaknesses in your objectives and provide suggestions for improvement.

Remember that feedback is an iterative process, and it is important to carefully consider the suggestions provided while also critically evaluating them in the context of your research. Incorporating constructive feedback will help you refine your aims and objectives, ensuring they are robust, relevant, and aligned with your research goals.

In summary, seeking feedback on your aims and objectives is a valuable step in the process of developing your research. Sharing your objectives with your supervisor or peers allows you to gather insights, suggestions, and perspectives that can help refine and improve your objectives. Feedback helps ensure that your objectives are appropriate, clear, and aligned with your research goals, ultimately strengthening the overall quality of your research.

When writing your dissertation, it is crucial to properly document and present your aims and objectives. The placement and presentation of aims and objectives play a significant role in providing readers with a clear understanding of the research’s purpose and direction.

Placement: The aims and objectives of your research should be presented early on in your dissertation, typically within the introduction chapter. This allows readers to grasp the overall scope and intent of your research from the beginning. Placing them in the introduction helps set the context and provides a roadmap for the rest of the dissertation.

Presentation: When presenting aims and objectives, it is important to clearly distinguish between the two and articulate their role in driving the research. Here’s an example of how you can document aims and objectives:

Aims: Start by presenting the overarching aim of your research, which represents the primary goal or intention of your study. It should be a concise statement that captures the essence of your research focus.

For example:

Aim: The aim of this research is to develop a machine learning-based system for automated sentiment analysis in social media data.

Objectives: Following the aim, present a list of specific objectives that outline the key steps or milestones required to achieve the aim. Each objective should be clear, specific, and measurable. Here’s an example:

Objectives:

  • Analyze existing sentiment analysis techniques and methodologies in the literature to identify their limitations and challenges.
  • Collect and preprocess a large dataset of social media posts to serve as the training and evaluation data for the sentiment analysis system.
  • Design and implement a machine learning algorithm capable of accurately detecting sentiment polarity in social media text.
  • Evaluate the performance of the developed sentiment analysis system against existing state-of-the-art approaches, using appropriate evaluation metrics.
  • Optimize the system for scalability and efficiency, allowing it to handle large volumes of real-time social media data.

By clearly documenting the aims and objectives in your dissertation, you provide readers with a clear understanding of the purpose and direction of your research. This enables them to follow your thought process and evaluate the relevance and significance of your study. Aims and objectives serve as guideposts that help readers navigate through your dissertation and understand the specific research questions you seek to address.

Moreover, the well-documented aims and objectives help you maintain focus throughout your research journey and provide a framework for organizing your dissertation. They establish the foundation upon which your methodology, analysis, and conclusions are built.

In summary, when documenting aims and objectives in a dissertation, it is important to place them in the introduction chapter and clearly present their role in guiding the research. Aims and objectives should be distinct, with the aim of capturing the overarching goal and the objectives outlining the specific steps or milestones to achieve it. By effectively documenting aims and objectives, you provide readers with a clear understanding of the research’s purpose and direction, facilitating their engagement with your work.

Crafting clear and well-defined aims and objectives is a critical aspect of writing a PhD or Post Graduate dissertation. These aims and objectives provide a solid foundation for your research, guiding your efforts and ensuring a focused and coherent study. Through this discussion, we have explored the importance of aims and objectives in a PhD dissertation and how they contribute to the research process.

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  • GETTING STARTED
  • Introduction
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The purpose statement

The purpose statement is made up of three major components: (1) the motivation driving your dissertation; (2) the significance of the research you plan to carry out; and (3) the research questions you are going to address. Starting the first major chapter of your dissertation (usually Chapter One: Introduction ), the purpose statement establishes the intent of your entire dissertation. Just like a great song that needs a great "hook", the purpose statement needs to draw the reader in and keep their attention. This article explains the purpose of each of these three components that make up the purpose statement.

The "motivation" driving your dissertation

The "significance" of the research you plan to carry out, the "research questions" you are going to address.

Your choice of dissertation topic should be driven by some kind of motivation . This motivation is usually a problem or issue that you feel needs to be addressed or solved. This part of the purpose statement aims to answer the question: Why should we care? In other words, why should we be interested in the research problem or issue that you want to address?

The types of motivation that may drive your dissertation will vary depending on the subject area you are studying, as well as the specific dissertation topic you are interested in. However, some of the broad types of motivation that undergraduate and master's level dissertation students try to address are based around (a) individuals , (b) organisations , and/or (c) society .

Individuals face many problems and issues ranging from those associated with welfare , to health , prosperity , freedoms , security , and so on. From a health perspective, you may be concerned with the rise in childhood obesity and the potential need for regulation to combat the advertising of fast food to children. In terms of welfare and freedoms , you may be interested in the introduction of new legislation that aims to protect discrimination in the workplace, and its implications for small businesses.

Organisations also have a wide range of problems and issues that need to be addressed, whether relating to people , finances , operations , competition , regulations , and so forth. From a people perspective, you may be interested in how organisations use flexible working options to alleviate employee stress and burnout. In terms of regulations , you may be concerned with the growth in Internet piracy and the ways that organisations are dealing with such a threat.

Society is another lens through which you can view problems and issues that need to be addressed. These may relate to a wide range of societal risks or other problems and issues such as factory farming, the potential legalisation of marijuana, the health-related effects of talking on cell phones, and so forth. You may be interested in understanding individuals? views towards the potential legalisation of marijuana; or how these views are influenced by individuals? knowledge of the side-effects of marijuana use.

When communicating the motivation driving your dissertation to the reader, it is important to explain why the problem or issue you are addressing is interesting : that is, why should the reader care? It is not sufficient to simply state what the problem or issue is.

Whilst the motivation component of your purpose statement explains why the reader should care about your dissertation, the significance component justifies the value of the dissertation. In other words: What contribution will the dissertation make to the literature? Why should anyone bother to perform this research? What is its value?

Even though dissertations are rarely "ground-breaking" at the undergraduate or master's level (and are not expected to be), they should still be significant in some way. This component of the Introduction chapter, which follows the motivation section, should explain what this significance is. In this respect, your research may be significant in one of a number of ways. It may:

Capitalise on a recent event

Reflect a break from the past

Target a new audience

Address a flaw in a previous study

Expand a particular field of study

Help an individual, group, organisation, or community

When writing your purpose statement, you will need to explain the relationship between the motivation driving your dissertation and the significance of the research you plan to carry out. These two factors - motivation and significance - must be intrinsically linked; that is, you cannot have one without the other. The key point is that you must be able to explain the relationship between the motivation driving your dissertation and one (or more) of the types of significance highlighted in the bullets above.

The motivation and significance components of your Introduction chapter should signal to the reader the general intent of your dissertation. However, the research questions that you set out indicate the specific intent of your dissertation. In other words, your research questions tell the reader exactly what you intend to try and address (or answer) throughout the dissertation process.

In addition, since there are different types of research question (i.e., quantitative , qualitative and mixed methods research questions), it should be obvious from the significance component of your purpose statement which of these types of research question you intend to tackle [see the section, Research Questions , to learn more].

Having established the research questions you are going to address, this completes the purpose statement. At this point, the reader should be clear about the overall intent of your dissertation. If you are in the process of writing up your dissertation, we would recommend including a Chapter Summaries section after the Research Questions section of your Introduction chapter. This helps to let the reader know what to expect next from your dissertation.

  • How it works

A Step-By-Step Guide to Write the Perfect Dissertation

“A dissertation or a thesis is a long piece of academic writing based on comprehensive research.”

The significance of dissertation writing in the world of academia is unparalleled. A good dissertation paper needs months of research and marks the end of your respected academic journey. It is considered the most effective form of writing in academia and perhaps the longest piece of academic writing you will ever have to complete.

This thorough step-by-step guide on how to write a dissertation will serve as a tool to help you with the task at hand, whether you are an undergraduate student or a Masters or PhD student working on your dissertation project. This guide provides detailed information about how to write the different chapters of a dissertation, such as a problem statement , conceptual framework , introduction , literature review, methodology , discussion , findings , conclusion , title page , acknowledgements , etc.

What is a Dissertation? – Definition

Before we list the stages of writing a dissertation, we should look at what a dissertation is.

The Cambridge dictionary states that a dissertation is a long piece of writing on a particular subject, especially one that is done to receive a degree at college or university, but that is just the tip of the iceberg because a dissertation project has a lot more meaning and context.

To understand a dissertation’s definition, one must have the capability to understand what an essay is. A dissertation is like an extended essay that includes research and information at a much deeper level. Despite the few similarities, there are many differences between an essay and a dissertation.

Another term that people confuse with a dissertation is a thesis. Let's look at the differences between the two terms.

What is the Difference Between a Dissertation and a Thesis?

Dissertation and thesis are used interchangeably worldwide (and may vary between universities and regions), but the key difference is when they are completed. The thesis is a project that marks the end of a degree program, whereas the dissertation project can occur during the degree. Hanno Krieger (Researchgate, 2014) explained the difference between a dissertation and a thesis as follows:

“Thesis is the written form of research work to claim an academic degree, like PhD thesis, postgraduate thesis, and undergraduate thesis. On the other hand, a dissertation is only another expression of the written research work, similar to an essay. So the thesis is the more general expression.

In the end, it does not matter whether it is a bachelor's, master or PhD dissertation one is working on because the structure and the steps of conducting research are pretty much identical. However, doctoral-level dissertation papers are much more complicated and detailed.

Problems Students Face When Writing a Dissertation

You can expect to encounter some troubles if you don’t yet know the steps to write a dissertation. Even the smartest students are overwhelmed by the complexity of writing a dissertation.

A dissertation project is different from any essay paper you have ever committed to because of the details of planning, research and writing it involves. One can expect rewarding results at the end of the process if the correct guidelines are followed. Still, as indicated previously, there will be multiple challenges to deal with before reaching that milestone.

The three most significant problems students face when working on a dissertation project are the following.

Poor Project Planning

Delaying to start working on the dissertation project is the most common problem. Students think they have sufficient time to complete the paper and are finding ways to write a dissertation in a week, delaying the start to the point where they start stressing out about the looming deadline. When the planning is poor, students are always looking for ways to write their dissertations in the last few days. Although it is possible, it does have effects on the quality of the paper.

Inadequate Research Skills

The writing process becomes a huge problem if one has the required academic research experience. Professional dissertation writing goes well beyond collecting a few relevant reference resources.

You need to do both primary and secondary research for your paper. Depending on the dissertation’s topic and the academic qualification you are a candidate for, you may be required to base your dissertation paper on primary research.

In addition to secondary data, you will also need to collect data from the specified participants and test the hypothesis . The practice of primary collection is time-consuming since all the data must be analysed in detail before results can be withdrawn.

Failure to Meet the Strict Academic Writing Standards

Research is a crucial business everywhere. Failure to follow the language, style, structure, and formatting guidelines provided by your department or institution when writing the dissertation paper can worsen matters. It is recommended to read the dissertation handbook before starting the write-up thoroughly.

Steps of Writing a Dissertation

For those stressing out about developing an extensive paper capable of filling a gap in research whilst adding value to the existing academic literature—conducting exhaustive research and analysis—and professionally using the knowledge gained throughout their degree program, there is still good news in all the chaos.

We have put together a guide that will show you how to start your dissertation and complete it carefully from one stage to the next.

Find an Interesting and Manageable Dissertation Topic

A clearly defined topic is a prerequisite for any successful independent research project. An engaging yet manageable research topic can produce an original piece of research that results in a higher academic score.

Unlike essays or assignments, when working on their thesis or dissertation project, students get to choose their topic of research.

You should follow the tips to choose the correct topic for your research to avoid problems later. Your chosen dissertation topic should be narrow enough, allowing you to collect the required secondary and primary data relatively quickly.

Understandably, many people take a lot of time to search for the topic, and a significant amount of research time is spent on it. You should talk to your supervisor or check out the intriguing database of ResearchProspect’s free topics for your dissertation.

Alternatively, consider reading newspapers, academic journals, articles, course materials, and other media to identify relevant issues to your study area and find some inspiration to get going.

You should work closely with your supervisor to agree to a narrowed but clear research plan.Here is what Michelle Schneider, learning adviser at the University of Leeds, had to say about picking the research topics,

“Picking something you’re genuinely interested in will keep you motivated. Consider why it’s important to tackle your chosen topic," Michelle added.

Develop a First-Class Dissertation Proposal.

Once the research topic has been selected, you can develop a solid dissertation proposal . The research proposal allows you to convince your supervisor or the committee members of the significance of your dissertation.

Through the proposal, you will be expected to prove that your work will significantly value the academic and scientific communities by addressing complex and provocative research questions .

Dissertation proposals are much shorter but follow a similar structure to an extensive dissertation paper. If the proposal is optional in your university, you should still create one outline of the critical points that the actual dissertation paper will cover. To get a better understanding of dissertation proposals, you can also check the publicly available samples of dissertation proposals .

Typical contents of the dissertation paper are as follows;

  • A brief rationale for the problem your dissertation paper will investigate.
  • The hypothesis you will be testing.
  • Research objectives you wish to address.
  • How will you contribute to the knowledge of the scientific and academic community?
  • How will you find answers to the critical research question(s)?
  • What research approach will you adopt?
  • What kind of population of interest would you like to generalise your result(s) to (especially in the case of quantitative research)?
  • What sampling technique(s) would you employ, and why would you not use other methods?
  • What ethical considerations have you taken to gather data?
  • Who are the stakeholders in your research are/might be?
  • What are the future implications and limitations you see in your research?

Let’s review the structure of the dissertation. Keep the format of your proposal simple. Keeping it simple keeps your readers will remain engaged. The following are the fundamental focal points that must be included:

Title of your dissertation: Dissertation titles should be 12 words in length. The focus of your research should be identifiable from your research topic.

Research aim: The overall purpose of your study should be clearly stated in terms of the broad statements of the desired outcomes in the Research aim. Try and paint the picture of your research, emphasising what you wish to achieve as a researcher.

Research objectives: The key research questions you wish to address as part of the project should be listed. Narrow down the focus of your research and aim for at most four objectives. Your research objectives should be linked with the aim of the study or a hypothesis.

Literature review: Consult with your supervisor to check if you are required to use any specific academic sources as part of the literature review process. If that is not the case, find out the most relevant theories, journals, books, schools of thought, and publications that will be used to construct arguments in your literature research.Remember that the literature review is all about giving credit to other authors’ works on a similar topic

Research methods and techniques: Depending on your dissertation topic, you might be required to conduct empirical research to satisfy the study’s objectives. Empirical research uses primary data such as questionnaires, interview data, and surveys to collect.

On the other hand, if your dissertation is based on secondary (non-empirical) data, you can stick to the existing literature in your area of study. Clearly state the merits of your chosen research methods under the methodology section.

Expected results: As you explore the research topic and analyse the data in the previously published papers, you will begin to build your expectations around the study’s potential outcomes. List those expectations here.

Project timeline: Let the readers know exactly how you plan to complete all the dissertation project parts within the timeframe allowed. You should learn more about Microsoft Project and Gantt Charts to create easy-to-follow and high-level project timelines and schedules.

References: The academic sources used to gather information for the proposed paper will be listed under this section using the appropriate referencing style. Ask your supervisor which referencing style you are supposed to follow.

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Investigation, Research and Data Collection

This is the most critical stage of the dissertation writing process. One should use up-to-date and relevant academic sources that are likely to jeopardise hard work.

Finding relevant and highly authentic reference resources is the key to succeeding in the dissertation project, so it is advised to take your time with this process. Here are some of the things that should be considered when conducting research.

dissertation project, so it is advised to take your time with this process. Here are some of the things that should be considered when conducting research.

You cannot read everything related to your topic. Although the practice of reading as much material as possible during this stage is rewarding, it is also imperative to understand that it is impossible to read everything that concerns your research.

This is true, especially for undergraduate and master’s level dissertations that must be delivered within a specific timeframe. So, it is important to know when to stop! Once the previous research and the associated limitations are well understood, it is time to move on.

However, review at least the salient research and work done in your area. By salient, we mean research done by pioneers of your field. For instance, if your topic relates to linguistics and you haven’t familiarised yourself with relevant research conducted by, say, Chomsky (the father of linguistics), your readers may find your lack of knowledge disconcerting.

So, to come off as genuinely knowledgeable in your own field, at least don’t forget to read essential works in the field/topic!

Use an Authentic Research database to Find References.

Most students start the reference material-finding process with desk-based research. However, this research method has its own limitation because it is a well-known fact that the internet is full of bogus information and fake information spreads fasters on the internet than truth does .

So, it is important to pick your reference material from reliable resources such as Google Scholar , Researchgate, Ibibio and Bartleby . Wikipedia is not considered a reliable academic source in the academic world, so it is recommended to refrain from citing Wikipedia content.Never underrate the importance of the actual library. The supporting staff at a university library can be of great help when it comes to finding exciting and reliable publications.

Record as you learn

All information and impressions should be recorded as notes using online tools such as Evernote to make sure everything is clear. You want to retain an important piece of information you had planned to present as an argument in the dissertation paper.

Write a Flawless Dissertation

Start to write a fantastic dissertation immediately once your proposal has been accepted and all the necessary desk-based research has been conducted. Now we will look at the different chapters of a dissertation in detail. You can also check out the samples of dissertation chapters to fully understand the format and structures of the various chapters.

Dissertation Introduction Chapter

The introduction chapter of the dissertation paper provides the background, problem statement and research questions. Here, you will inform the readers why it was important for this research to be conducted and which key research question(s) you expect to answer at the end of the study.

Definitions of all the terms and phrases in the project are provided in this first chapter of the dissertation paper. The research aim and objectives remain unchanged from the proposal paper and are expected to be listed under this section.

Dissertation Literature Review Chapter

This chapter allows you to demonstrate to your readers that you have done sufficient research on the chosen topic and understand previous similar studies’ findings. Any research limitations that your research incorporates are expected to be discussed in this section.

And make sure to summarise the viewpoints and findings of other researchers in the dissertation literature review chapter. Show the readers that there is a research gap in the existing work and your job is relevant to it to justify your research value.

Dissertation Methodology

The methodology chapter of the dissertation provides insight into the methods employed to collect data from various resources and flows naturally from the literature review chapter.Simply put, you will be expected to explain what you did and how you did it, helping the readers understand that your research is valid and reliable. When writing the methodology chapter for the dissertation, make sure to emphasise the following points:

  • The type of research performed by the researcher
  • Methods employed to gather and filter information
  • Techniques that were chosen for analysis
  • Materials, tools and resources used to conduct research (typically for empirical research dissertations)
  • Limitations of your chosen methods
  • Reliability and validity of your measuring tools and instruments (e.g. a survey questionnaire) are also typically mentioned within the mythology section. If you used a pre-existing data collection tool, cite its reliability/validity estimates here, too.Make use of the past tense when writing the methodology chapter.

Dissertation Findings

The key results of your research are presented in the dissertation findings chapter . It gives authors the ability to validate their own intellectual and analytical skills

Dissertation Conclusion

Cap off your dissertation paper with a study summary and a brief report of the findings. In the concluding chapter , you will be expected to demonstrate how your research will provide value to other academics in your area of study and its implications.It is recommended to include a short ‘recommendations’ section that will elaborate on the purpose and need for future research to elucidate the topic further.

Follow the referencing style following the requirements of your academic degree or field of study. Make sure to list every academic source used with a proper in-text citation. It is important to give credit to other authors’ ideas and concepts.

Note: Keep in mind whether you are creating a reference list or a bibliography. The former includes information about all the various sources you referred to, read from or took inspiration from for your own study. However, the latter contains things you used and those you only read but didn’t cite in your dissertation.

Proofread, Edit and Improve – Don’t Risk Months of Hard Work.

Experts recommend completing the total dissertation before starting to proofread and edit your work. You need to refresh your focus and reboot your creative brain before returning to another critical stage.

Leave space of at least a few days between the writing and the editing steps so when you get back to the desk, you can recognise your grammar, spelling and factual errors when you get back to the desk.

It is crucial to consider this period to ensure the final work is polished, coherent, well-structured and free of any structural or factual flaws. Daniel Higginbotham from Prospects UK states that:

“Leave yourself sufficient time to engage with your writing at several levels – from reassessing the logic of the whole piece to proofreading to checking you’ve paid attention to aspects such as the correct spelling of names and theories and the required referencing format.”

What is the Difference Between Editing and Proofreading?

Editing means that you are focusing on the essence of your dissertation paper. In contrast, proofreading is the process of reviewing the final draft piece to ensure accuracy and consistency in formatting, spelling, facts, punctuation, and grammar.

Editing: Prepare your work for submission by condensing, correcting and modifying (where necessary). When reviewing the paper, make sure that there are coherence and consistency between the arguments you presented.

If an information gap has been identified, fill that with an appropriate piece of information gathered during the research process. It is easy to lose sight of the original purpose if you become over-involved when writing.

Cut out the unwanted text and refine it, so your paper’s content is to the point and concise.Proofreading: Start proofreading your paper to identify formatting, structural, grammar, punctuation and referencing flaws. Read every single sentence of the paper no matter how tired you are because a few puerile mistakes can compromise your months of hard work.

Many students struggle with the editing and proofreading stages due to their lack of attention to detail. Consult a skilled dissertation editor if you are unable to find your flaws. You may want to invest in a professional dissertation editing and proofreading service to improve the piece’s quality to First Class.

Tips for Writing a Dissertation

Communication with supervisor – get feedback.

Communicate regularly with your supervisor to produce a first-class dissertation paper. Request them to comprehensively review the contents of your dissertation paper before final submission.

Their constructive criticism and feedback concerning different study areas will help you improve your piece’s overall quality. Keep your supervisor updated about your research progress and discuss any problems that you come up against.

Organising your Time

A dissertation is a lengthy project spanning over a period of months to years, and therefore it is important to avoid procrastination. Stay focused, and manage your time efficiently. Here are some time management tips for writing your dissertation to help you make the most of your time as you research and write.

  • Don’t be discouraged by the inherently slow nature of dissertation work, particularly in the initial stages.
  • Set clear goals and work out your research and write up a plan accordingly.
  • Allow sufficient time to incorporate feedback from your supervisor.
  • Leave enough time for editing, improving, proofreading, and formatting the paper according to your school’s guidelines. This is where you break or make your grade.
  • Work a certain number of hours on your paper daily.
  • Create a worksheet for your week.
  • Work on your dissertation for time periods as brief as 45 minutes or less.
  • Stick to the strategic dissertation timeline, so you don’t have to do the catchup work.
  • Meet your goals by prioritising your dissertation work.
  • Strike a balance between being overly organised and needing to be more organised.
  • Limit activities other than dissertation writing and your most necessary obligations.
  • Keep ‘tangent’ and ‘for the book’ files.
  • Create lists to help you manage your tasks.
  • Have ‘filler’ tasks to do when you feel burned out or in need of intellectual rest.
  • Keep a dissertation journal.
  • Pretend that you are working in a more structured work world.
  • Limit your usage of email and personal electronic devices.
  • Utilise and build on your past work when you write your dissertation.
  • Break large tasks into small manageable ones.
  • Seek advice from others, and do not be afraid to ask for help.

Dissertation Examples

Here are some samples of a dissertation to inspire you to write mind-blowing dissertations and to help bring all the above-mentioned guidelines home.

DE MONTFORT University Leicester – Examples of recent dissertations

Dissertation Research in Education: Dissertations (Examples)

How Long is a Dissertation?

The entire dissertation writing process is complicated and spans over a period of months to years, depending on whether you are an undergraduate, master’s, or PhD candidate. Marcus Beck, a PhD candidate, conducted fundamental research a few years ago, research that didn’t have much to do with his research but returned answers to some niggling questions every student has about the average length of a dissertation.

A software program specifically designed for this purpose helped Beck to access the university’s electronic database to uncover facts on dissertation length.

The above illustration shows how the results of his small study were a little unsurprising. Social sciences and humanities disciplines such as anthropology, politics, and literature had the longest dissertations, with some PhD dissertations comprising 150,000 words or more.Engineering and scientific disciplines, on the other hand, were considerably shorter. PhD-level dissertations generally don’t have a predefined length as they will vary with your research topic. Ask your school about this requirement if you are unsure about it from the start.

Focus more on the quality of content rather than the number of pages.

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Phrases to Avoid

No matter the style or structure you follow, it is best to keep your language simple. Avoid the use of buzzwords and jargon.

A Word on Stealing Content (Plagiarism)

Very straightforward advice to all students, DO NOT PLAGIARISE. Plagiarism is a serious offence. You will be penalised heavily if you are caught plagiarising. Don’t risk years of hard work, as many students in the past have lost their degrees for plagiarising. Here are some tips to help you make sure you don’t get caught.

  • Copying and pasting from an academic source is an unforgivable sin. Rephrasing text retrieved from another source also falls under plagiarism; it’s called paraphrasing. Summarising another’s idea(s) word-to-word, paraphrasing, and copy-pasting are the three primary forms plagiarism can take.
  • If you must directly copy full sentences from another source because they fill the bill, always enclose them inside quotation marks and acknowledge the writer’s work with in-text citations.

Are you struggling to find inspiration to get going? Still, trying to figure out where to begin? Is the deadline getting closer? Don’t be overwhelmed! ResearchProspect dissertation writing services have helped thousands of students achieve desired outcomes. Click here to get help from writers holding either a master's or PhD degree from a reputed UK university.

Frequently Asked Questions

What does a dissertation include.

A dissertation has main chapters and parts that support them. The main parts are:

  • Introduction
  • Literature review
  • Research Methodology
  • Your conclusion

Other parts are the abstract, references, appendices etc. We can supply a full dissertation or specific parts of one.

What is the difference between research and a dissertation?

A research paper is a sort of academic writing that consists of the study, source assessment, critical thinking, organisation, and composition, as opposed to a thesis or dissertation, which is a lengthy academic document that often serves as the final project for a university degree.

Can I edit and proofread my dissertation myself?

Of course, you can do proofreading and editing of your dissertation. There are certain rules to follow that have been discussed above. However, finding mistakes in something that you have written yourself can be complicated for some people. It is advisable to take professional help in the matter.

What If I only have difficulty writing a specific chapter of the dissertation?

ResearchProspect ensures customer satisfaction by addressing all relevant issues. We provide dissertation chapter-writing services to students if they need help completing a specific chapter. It could be any chapter from the introduction, literature review, and methodology to the discussion and conclusion.

You May Also Like

Are you looking for intriguing and trending dissertation topics? Get inspired by our list of free dissertation topics on all subjects.

Looking for an easy guide to follow to write your essay? Here is our detailed essay guide explaining how to write an essay and examples and types of an essay.

Learn about the steps required to successfully complete their research project. Make sure to follow these steps in their respective order.

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Dissertation Structure & Layout 101: How to structure your dissertation, thesis or research project.

By: Derek Jansen (MBA) Reviewed By: David Phair (PhD) | July 2019

So, you’ve got a decent understanding of what a dissertation is , you’ve chosen your topic and hopefully you’ve received approval for your research proposal . Awesome! Now its time to start the actual dissertation or thesis writing journey.

To craft a high-quality document, the very first thing you need to understand is dissertation structure . In this post, we’ll walk you through the generic dissertation structure and layout, step by step. We’ll start with the big picture, and then zoom into each chapter to briefly discuss the core contents. If you’re just starting out on your research journey, you should start with this post, which covers the big-picture process of how to write a dissertation or thesis .

Dissertation structure and layout - the basics

*The Caveat *

In this post, we’ll be discussing a traditional dissertation/thesis structure and layout, which is generally used for social science research across universities, whether in the US, UK, Europe or Australia. However, some universities may have small variations on this structure (extra chapters, merged chapters, slightly different ordering, etc).

So, always check with your university if they have a prescribed structure or layout that they expect you to work with. If not, it’s safe to assume the structure we’ll discuss here is suitable. And even if they do have a prescribed structure, you’ll still get value from this post as we’ll explain the core contents of each section.  

Overview: S tructuring a dissertation or thesis

  • Acknowledgements page
  • Abstract (or executive summary)
  • Table of contents , list of figures and tables
  • Chapter 1: Introduction
  • Chapter 2: Literature review
  • Chapter 3: Methodology
  • Chapter 4: Results
  • Chapter 5: Discussion
  • Chapter 6: Conclusion
  • Reference list

As I mentioned, some universities will have slight variations on this structure. For example, they want an additional “personal reflection chapter”, or they might prefer the results and discussion chapter to be merged into one. Regardless, the overarching flow will always be the same, as this flow reflects the research process , which we discussed here – i.e.:

  • The introduction chapter presents the core research question and aims .
  • The literature review chapter assesses what the current research says about this question.
  • The methodology, results and discussion chapters go about undertaking new research about this question.
  • The conclusion chapter (attempts to) answer the core research question .

In other words, the dissertation structure and layout reflect the research process of asking a well-defined question(s), investigating, and then answering the question – see below.

A dissertation's structure reflect the research process

To restate that – the structure and layout of a dissertation reflect the flow of the overall research process . This is essential to understand, as each chapter will make a lot more sense if you “get” this concept. If you’re not familiar with the research process, read this post before going further.

Right. Now that we’ve covered the big picture, let’s dive a little deeper into the details of each section and chapter. Oh and by the way, you can also grab our free dissertation/thesis template here to help speed things up.

The title page of your dissertation is the very first impression the marker will get of your work, so it pays to invest some time thinking about your title. But what makes for a good title? A strong title needs to be 3 things:

  • Succinct (not overly lengthy or verbose)
  • Specific (not vague or ambiguous)
  • Representative of the research you’re undertaking (clearly linked to your research questions)

Typically, a good title includes mention of the following:

  • The broader area of the research (i.e. the overarching topic)
  • The specific focus of your research (i.e. your specific context)
  • Indication of research design (e.g. quantitative , qualitative , or  mixed methods ).

For example:

A quantitative investigation [research design] into the antecedents of organisational trust [broader area] in the UK retail forex trading market [specific context/area of focus].

Again, some universities may have specific requirements regarding the format and structure of the title, so it’s worth double-checking expectations with your institution (if there’s no mention in the brief or study material).

Dissertations stacked up

Acknowledgements

This page provides you with an opportunity to say thank you to those who helped you along your research journey. Generally, it’s optional (and won’t count towards your marks), but it is academic best practice to include this.

So, who do you say thanks to? Well, there’s no prescribed requirements, but it’s common to mention the following people:

  • Your dissertation supervisor or committee.
  • Any professors, lecturers or academics that helped you understand the topic or methodologies.
  • Any tutors, mentors or advisors.
  • Your family and friends, especially spouse (for adult learners studying part-time).

There’s no need for lengthy rambling. Just state who you’re thankful to and for what (e.g. thank you to my supervisor, John Doe, for his endless patience and attentiveness) – be sincere. In terms of length, you should keep this to a page or less.

Abstract or executive summary

The dissertation abstract (or executive summary for some degrees) serves to provide the first-time reader (and marker or moderator) with a big-picture view of your research project. It should give them an understanding of the key insights and findings from the research, without them needing to read the rest of the report – in other words, it should be able to stand alone .

For it to stand alone, your abstract should cover the following key points (at a minimum):

  • Your research questions and aims – what key question(s) did your research aim to answer?
  • Your methodology – how did you go about investigating the topic and finding answers to your research question(s)?
  • Your findings – following your own research, what did do you discover?
  • Your conclusions – based on your findings, what conclusions did you draw? What answers did you find to your research question(s)?

So, in much the same way the dissertation structure mimics the research process, your abstract or executive summary should reflect the research process, from the initial stage of asking the original question to the final stage of answering that question.

In practical terms, it’s a good idea to write this section up last , once all your core chapters are complete. Otherwise, you’ll end up writing and rewriting this section multiple times (just wasting time). For a step by step guide on how to write a strong executive summary, check out this post .

Need a helping hand?

the aim of a dissertation

Table of contents

This section is straightforward. You’ll typically present your table of contents (TOC) first, followed by the two lists – figures and tables. I recommend that you use Microsoft Word’s automatic table of contents generator to generate your TOC. If you’re not familiar with this functionality, the video below explains it simply:

If you find that your table of contents is overly lengthy, consider removing one level of depth. Oftentimes, this can be done without detracting from the usefulness of the TOC.

Right, now that the “admin” sections are out of the way, its time to move on to your core chapters. These chapters are the heart of your dissertation and are where you’ll earn the marks. The first chapter is the introduction chapter – as you would expect, this is the time to introduce your research…

It’s important to understand that even though you’ve provided an overview of your research in your abstract, your introduction needs to be written as if the reader has not read that (remember, the abstract is essentially a standalone document). So, your introduction chapter needs to start from the very beginning, and should address the following questions:

  • What will you be investigating (in plain-language, big picture-level)?
  • Why is that worth investigating? How is it important to academia or business? How is it sufficiently original?
  • What are your research aims and research question(s)? Note that the research questions can sometimes be presented at the end of the literature review (next chapter).
  • What is the scope of your study? In other words, what will and won’t you cover ?
  • How will you approach your research? In other words, what methodology will you adopt?
  • How will you structure your dissertation? What are the core chapters and what will you do in each of them?

These are just the bare basic requirements for your intro chapter. Some universities will want additional bells and whistles in the intro chapter, so be sure to carefully read your brief or consult your research supervisor.

If done right, your introduction chapter will set a clear direction for the rest of your dissertation. Specifically, it will make it clear to the reader (and marker) exactly what you’ll be investigating, why that’s important, and how you’ll be going about the investigation. Conversely, if your introduction chapter leaves a first-time reader wondering what exactly you’ll be researching, you’ve still got some work to do.

Now that you’ve set a clear direction with your introduction chapter, the next step is the literature review . In this section, you will analyse the existing research (typically academic journal articles and high-quality industry publications), with a view to understanding the following questions:

  • What does the literature currently say about the topic you’re investigating?
  • Is the literature lacking or well established? Is it divided or in disagreement?
  • How does your research fit into the bigger picture?
  • How does your research contribute something original?
  • How does the methodology of previous studies help you develop your own?

Depending on the nature of your study, you may also present a conceptual framework towards the end of your literature review, which you will then test in your actual research.

Again, some universities will want you to focus on some of these areas more than others, some will have additional or fewer requirements, and so on. Therefore, as always, its important to review your brief and/or discuss with your supervisor, so that you know exactly what’s expected of your literature review chapter.

Dissertation writing

Now that you’ve investigated the current state of knowledge in your literature review chapter and are familiar with the existing key theories, models and frameworks, its time to design your own research. Enter the methodology chapter – the most “science-ey” of the chapters…

In this chapter, you need to address two critical questions:

  • Exactly HOW will you carry out your research (i.e. what is your intended research design)?
  • Exactly WHY have you chosen to do things this way (i.e. how do you justify your design)?

Remember, the dissertation part of your degree is first and foremost about developing and demonstrating research skills . Therefore, the markers want to see that you know which methods to use, can clearly articulate why you’ve chosen then, and know how to deploy them effectively.

Importantly, this chapter requires detail – don’t hold back on the specifics. State exactly what you’ll be doing, with who, when, for how long, etc. Moreover, for every design choice you make, make sure you justify it.

In practice, you will likely end up coming back to this chapter once you’ve undertaken all your data collection and analysis, and revise it based on changes you made during the analysis phase. This is perfectly fine. Its natural for you to add an additional analysis technique, scrap an old one, etc based on where your data lead you. Of course, I’m talking about small changes here – not a fundamental switch from qualitative to quantitative, which will likely send your supervisor in a spin!

You’ve now collected your data and undertaken your analysis, whether qualitative, quantitative or mixed methods. In this chapter, you’ll present the raw results of your analysis . For example, in the case of a quant study, you’ll present the demographic data, descriptive statistics, inferential statistics , etc.

Typically, Chapter 4 is simply a presentation and description of the data, not a discussion of the meaning of the data. In other words, it’s descriptive, rather than analytical – the meaning is discussed in Chapter 5. However, some universities will want you to combine chapters 4 and 5, so that you both present and interpret the meaning of the data at the same time. Check with your institution what their preference is.

Now that you’ve presented the data analysis results, its time to interpret and analyse them. In other words, its time to discuss what they mean, especially in relation to your research question(s).

What you discuss here will depend largely on your chosen methodology. For example, if you’ve gone the quantitative route, you might discuss the relationships between variables . If you’ve gone the qualitative route, you might discuss key themes and the meanings thereof. It all depends on what your research design choices were.

Most importantly, you need to discuss your results in relation to your research questions and aims, as well as the existing literature. What do the results tell you about your research questions? Are they aligned with the existing research or at odds? If so, why might this be? Dig deep into your findings and explain what the findings suggest, in plain English.

The final chapter – you’ve made it! Now that you’ve discussed your interpretation of the results, its time to bring it back to the beginning with the conclusion chapter . In other words, its time to (attempt to) answer your original research question s (from way back in chapter 1). Clearly state what your conclusions are in terms of your research questions. This might feel a bit repetitive, as you would have touched on this in the previous chapter, but its important to bring the discussion full circle and explicitly state your answer(s) to the research question(s).

Dissertation and thesis prep

Next, you’ll typically discuss the implications of your findings? In other words, you’ve answered your research questions – but what does this mean for the real world (or even for academia)? What should now be done differently, given the new insight you’ve generated?

Lastly, you should discuss the limitations of your research, as well as what this means for future research in the area. No study is perfect, especially not a Masters-level. Discuss the shortcomings of your research. Perhaps your methodology was limited, perhaps your sample size was small or not representative, etc, etc. Don’t be afraid to critique your work – the markers want to see that you can identify the limitations of your work. This is a strength, not a weakness. Be brutal!

This marks the end of your core chapters – woohoo! From here on out, it’s pretty smooth sailing.

The reference list is straightforward. It should contain a list of all resources cited in your dissertation, in the required format, e.g. APA , Harvard, etc.

It’s essential that you use reference management software for your dissertation. Do NOT try handle your referencing manually – its far too error prone. On a reference list of multiple pages, you’re going to make mistake. To this end, I suggest considering either Mendeley or Zotero. Both are free and provide a very straightforward interface to ensure that your referencing is 100% on point. I’ve included a simple how-to video for the Mendeley software (my personal favourite) below:

Some universities may ask you to include a bibliography, as opposed to a reference list. These two things are not the same . A bibliography is similar to a reference list, except that it also includes resources which informed your thinking but were not directly cited in your dissertation. So, double-check your brief and make sure you use the right one.

The very last piece of the puzzle is the appendix or set of appendices. This is where you’ll include any supporting data and evidence. Importantly, supporting is the keyword here.

Your appendices should provide additional “nice to know”, depth-adding information, which is not critical to the core analysis. Appendices should not be used as a way to cut down word count (see this post which covers how to reduce word count ). In other words, don’t place content that is critical to the core analysis here, just to save word count. You will not earn marks on any content in the appendices, so don’t try to play the system!

Time to recap…

And there you have it – the traditional dissertation structure and layout, from A-Z. To recap, the core structure for a dissertation or thesis is (typically) as follows:

  • Acknowledgments page

Most importantly, the core chapters should reflect the research process (asking, investigating and answering your research question). Moreover, the research question(s) should form the golden thread throughout your dissertation structure. Everything should revolve around the research questions, and as you’ve seen, they should form both the start point (i.e. introduction chapter) and the endpoint (i.e. conclusion chapter).

I hope this post has provided you with clarity about the traditional dissertation/thesis structure and layout. If you have any questions or comments, please leave a comment below, or feel free to get in touch with us. Also, be sure to check out the rest of the  Grad Coach Blog .

the aim of a dissertation

Psst… there’s more (for free)

This post is part of our dissertation mini-course, which covers everything you need to get started with your dissertation, thesis or research project. 

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36 Comments

ARUN kumar SHARMA

many thanks i found it very useful

Derek Jansen

Glad to hear that, Arun. Good luck writing your dissertation.

Sue

Such clear practical logical advice. I very much needed to read this to keep me focused in stead of fretting.. Perfect now ready to start my research!

hayder

what about scientific fields like computer or engineering thesis what is the difference in the structure? thank you very much

Tim

Thanks so much this helped me a lot!

Ade Adeniyi

Very helpful and accessible. What I like most is how practical the advice is along with helpful tools/ links.

Thanks Ade!

Aswathi

Thank you so much sir.. It was really helpful..

You’re welcome!

Jp Raimundo

Hi! How many words maximum should contain the abstract?

Karmelia Renatee

Thank you so much 😊 Find this at the right moment

You’re most welcome. Good luck with your dissertation.

moha

best ever benefit i got on right time thank you

Krishnan iyer

Many times Clarity and vision of destination of dissertation is what makes the difference between good ,average and great researchers the same way a great automobile driver is fast with clarity of address and Clear weather conditions .

I guess Great researcher = great ideas + knowledge + great and fast data collection and modeling + great writing + high clarity on all these

You have given immense clarity from start to end.

Alwyn Malan

Morning. Where will I write the definitions of what I’m referring to in my report?

Rose

Thank you so much Derek, I was almost lost! Thanks a tonnnn! Have a great day!

yemi Amos

Thanks ! so concise and valuable

Kgomotso Siwelane

This was very helpful. Clear and concise. I know exactly what to do now.

dauda sesay

Thank you for allowing me to go through briefly. I hope to find time to continue.

Patrick Mwathi

Really useful to me. Thanks a thousand times

Adao Bundi

Very interesting! It will definitely set me and many more for success. highly recommended.

SAIKUMAR NALUMASU

Thank you soo much sir, for the opportunity to express my skills

mwepu Ilunga

Usefull, thanks a lot. Really clear

Rami

Very nice and easy to understand. Thank you .

Chrisogonas Odhiambo

That was incredibly useful. Thanks Grad Coach Crew!

Luke

My stress level just dropped at least 15 points after watching this. Just starting my thesis for my grad program and I feel a lot more capable now! Thanks for such a clear and helpful video, Emma and the GradCoach team!

Judy

Do we need to mention the number of words the dissertation contains in the main document?

It depends on your university’s requirements, so it would be best to check with them 🙂

Christine

Such a helpful post to help me get started with structuring my masters dissertation, thank you!

Simon Le

Great video; I appreciate that helpful information

Brhane Kidane

It is so necessary or avital course

johnson

This blog is very informative for my research. Thank you

avc

Doctoral students are required to fill out the National Research Council’s Survey of Earned Doctorates

Emmanuel Manjolo

wow this is an amazing gain in my life

Paul I Thoronka

This is so good

Tesfay haftu

How can i arrange my specific objectives in my dissertation?

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  • Education /

What is a Dissertation? Meaning, Projects, Report Work

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  • Updated on  
  • Feb 26, 2022

What is a Dissertation (1)

A dissertation is a long academic piece of writing based on a student’s independent research . It is usually submitted in the final semester of UG, PG and PhD courses . It takes about 1-2 years to complete the dissertation as it requires a lot of research and written documentation . The aim of writing a dissertation is to test a student’s research skills. It allows students to develop their research, problem-solving, project management and numerical skills . During the course of writing a dissertation, students become able to present their research-based findings to the proposition they chose for themselves.

This Blog Includes:

Empirical dissertation, non-empirical dissertation, skills you need to show, how long is a dissertation, empirical dissertation structure, non-empirical structure, dissertation project example, checklist for dissertation, helpful tips for writing a dissertation, difference between a dissertation and essay, dissertation vs thesis, types of dissertation.

The type of dissertation you may be doing completely depends upon the field of your study. However, there are 2 types of dissertation mentioned below in the table:

If you are a student of sciences or social sciences, you’ll be required to write an empirical dissertation . Its focus is mainly on collecting original data and analysing every aspect of the data. Students can choose different research methods such as surveys, observation, laboratory experiments and interviews . Keeping in mind that the aim of an Empirical dissertation is to produce standardized scientific knowledge, students must consider the variables they will investigate, the reliability of their measurements, and choose the correct sampling method.

Non-empirical research is generally done for subjects such as arts and humanities . Choosing a particular topic and collecting the data from primary and secondary sources is the first step of starting with this type of dissertation. While working on non-empirical research, a student does the work with existing research or other texts, presents original analysis, argumentation, but there is no original data . The aim is to analyse theoretical texts and interpret the sources with your own understanding.

Regardless of the type of dissertation you write or the topic you pick, you’ll need to demonstrate the following abilities:

A dissertation’s length varies by study level and location, although it normally ranges from 10,000 to 12,000 words for undergraduates, 15,000 to 25,000 words for master’s students, and up to 50,000 words or more for PhD students.

Structure of a Dissertation

A dissertation is basically divided into chapters and sections . Both empirical and non-empirical dissertations have different kinds of structures that are supposed to be followed while writing a dissertation. Empirical dissertations usually have a more standardized structure than that of a non-empirical dissertation which is more flexible.

The structure may be slightly different but an empirical dissertation must include the following chapters:

  •   Introduction: Explanation of your topic and research questions
  •  Literature Review : Evaluation of your research topic
  •  Methodology: Description of the research method 
  • Results: Explanation of the found research
  •  Discussions: Interpret what your results have revealed
  • Conclusion: Final reflection of what you’ve found through the thesis

The structure or outline of a non-empirical dissertation is quite flexible as it involves existing research and texts . The aim of non-empirical research is to present original and independent analysis based on theoretical research . It is basically an extended essay but while writing a non-empirical thesis, the text must be presented precisely to serve your arguments in a logical manner. However, mentioned below is a general outline that must be followed while writing a non-empirical dissertation:

  •  Introduction: Explanation of your topic and Research Questions
  •  Main Body: Development of your analysis of the text or source
  •  Conclusion: Summarisation of what the analysis has contributed so far

*The main body is divided into 2-4 chapters.

Non-Empirical Dissertation Structure Example

Depending on the topic you’ve chosen, the main body can be divided into different types.  One of the most common topics of non-empirical research is history-based . The following mentioned is an example of a renaissance based topic:

TABLE OF CONTENTS

  • Introduction
  • Chapter 1: Origins of the Renaissance in the Classical World
  • Chapter 2: Artists of the Renaissance
  • Chapter 3: The Spread of the Renaissance
  • Chapter 4: The Renaissance and the Reformation

Mentioned below is a checklist to make sure you’ve included all the required information:

  • Title page includes all the information
  • Acknowledgements
  • Concise summary of the dissertation 
  • Table of contents
  • Clear and precise introduction
  • Literature review that includes patterns, themes, and debates
  • Theoretical framework of the research
  • Description of the used methodology
  • Clear mention of the questions answered
  • Relevant recommendations for further research
  • Citations and bibliography
  • Reference list at the end of the thesis
  • Format provided by the university is followed
  • Start with time management . Make a proper daily schedule and set your deadlines Decide how much time you need to write a section or chapter . Choose the hours and start working on the it. In this way, you’ll be able to complete the this in the given time.
  • Remember that the first writing draft is not the final dissertation . Make sure to proofread your writing several times. This will make you present your augmentations in a more precise way,
  • Skip the introduction part and leave it for the end. Try to write the main body first, so that you get time to gather your thoughts. This way you will be able to present the introduction in a clear manner as you’ve been working on the this for a long period of time.
  • Don’t wait for the end time to get feedback from your supervisor . Try to share the research work more often and a lot earlier than the submission time, so that you get time to improve your mistakes. It may save you from rewriting several chapters and sections.
  • Use a reference manager to make it easier for you to mention the citations without taking much time.

PhD must include over  60,000 words and should not exceed the limit of 80,000 words.

It takes around a year or two to complete a dissertation but if you manage time properly and catch up the speed you may be able to complete it in less than 8 months.

Hopefully, this blog assisted you in finding out what is Dissertation, its structure and more. If you require any assistance regarding your application process while enrolling for your further studies, our experts at Leverage Edu are just one click away. Call us anytime at 1800 572 000 for a free counselling session!

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  • Knowledge Base
  • Dissertation
  • What Is a Research Methodology? | Steps & Tips

What Is a Research Methodology? | Steps & Tips

Published on 25 February 2019 by Shona McCombes . Revised on 10 October 2022.

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.

It should include:

  • The type of research you conducted
  • How you collected and analysed your data
  • Any tools or materials you used in the research
  • Why you chose these methods
  • Your methodology section should generally be written in the past tense .
  • Academic style guides in your field may provide detailed guidelines on what to include for different types of studies.
  • Your citation style might provide guidelines for your methodology section (e.g., an APA Style methods section ).

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Table of contents

How to write a research methodology, why is a methods section important, step 1: explain your methodological approach, step 2: describe your data collection methods, step 3: describe your analysis method, step 4: evaluate and justify the methodological choices you made, tips for writing a strong methodology chapter, frequently asked questions about methodology.

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Your methods section is your opportunity to share how you conducted your research and why you chose the methods you chose. It’s also the place to show that your research was rigorously conducted and can be replicated .

It gives your research legitimacy and situates it within your field, and also gives your readers a place to refer to if they have any questions or critiques in other sections.

You can start by introducing your overall approach to your research. You have two options here.

Option 1: Start with your “what”

What research problem or question did you investigate?

  • Aim to describe the characteristics of something?
  • Explore an under-researched topic?
  • Establish a causal relationship?

And what type of data did you need to achieve this aim?

  • Quantitative data , qualitative data , or a mix of both?
  • Primary data collected yourself, or secondary data collected by someone else?
  • Experimental data gathered by controlling and manipulating variables, or descriptive data gathered via observations?

Option 2: Start with your “why”

Depending on your discipline, you can also start with a discussion of the rationale and assumptions underpinning your methodology. In other words, why did you choose these methods for your study?

  • Why is this the best way to answer your research question?
  • Is this a standard methodology in your field, or does it require justification?
  • Were there any ethical considerations involved in your choices?
  • What are the criteria for validity and reliability in this type of research ?

Once you have introduced your reader to your methodological approach, you should share full details about your data collection methods .

Quantitative methods

In order to be considered generalisable, you should describe quantitative research methods in enough detail for another researcher to replicate your study.

Here, explain how you operationalised your concepts and measured your variables. Discuss your sampling method or inclusion/exclusion criteria, as well as any tools, procedures, and materials you used to gather your data.

Surveys Describe where, when, and how the survey was conducted.

  • How did you design the questionnaire?
  • What form did your questions take (e.g., multiple choice, Likert scale )?
  • Were your surveys conducted in-person or virtually?
  • What sampling method did you use to select participants?
  • What was your sample size and response rate?

Experiments Share full details of the tools, techniques, and procedures you used to conduct your experiment.

  • How did you design the experiment ?
  • How did you recruit participants?
  • How did you manipulate and measure the variables ?
  • What tools did you use?

Existing data Explain how you gathered and selected the material (such as datasets or archival data) that you used in your analysis.

  • Where did you source the material?
  • How was the data originally produced?
  • What criteria did you use to select material (e.g., date range)?

The survey consisted of 5 multiple-choice questions and 10 questions measured on a 7-point Likert scale.

The goal was to collect survey responses from 350 customers visiting the fitness apparel company’s brick-and-mortar location in Boston on 4–8 July 2022, between 11:00 and 15:00.

Here, a customer was defined as a person who had purchased a product from the company on the day they took the survey. Participants were given 5 minutes to fill in the survey anonymously. In total, 408 customers responded, but not all surveys were fully completed. Due to this, 371 survey results were included in the analysis.

Qualitative methods

In qualitative research , methods are often more flexible and subjective. For this reason, it’s crucial to robustly explain the methodology choices you made.

Be sure to discuss the criteria you used to select your data, the context in which your research was conducted, and the role you played in collecting your data (e.g., were you an active participant, or a passive observer?)

Interviews or focus groups Describe where, when, and how the interviews were conducted.

  • How did you find and select participants?
  • How many participants took part?
  • What form did the interviews take ( structured , semi-structured , or unstructured )?
  • How long were the interviews?
  • How were they recorded?

Participant observation Describe where, when, and how you conducted the observation or ethnography .

  • What group or community did you observe? How long did you spend there?
  • How did you gain access to this group? What role did you play in the community?
  • How long did you spend conducting the research? Where was it located?
  • How did you record your data (e.g., audiovisual recordings, note-taking)?

Existing data Explain how you selected case study materials for your analysis.

  • What type of materials did you analyse?
  • How did you select them?

In order to gain better insight into possibilities for future improvement of the fitness shop’s product range, semi-structured interviews were conducted with 8 returning customers.

Here, a returning customer was defined as someone who usually bought products at least twice a week from the store.

Surveys were used to select participants. Interviews were conducted in a small office next to the cash register and lasted approximately 20 minutes each. Answers were recorded by note-taking, and seven interviews were also filmed with consent. One interviewee preferred not to be filmed.

Mixed methods

Mixed methods research combines quantitative and qualitative approaches. If a standalone quantitative or qualitative study is insufficient to answer your research question, mixed methods may be a good fit for you.

Mixed methods are less common than standalone analyses, largely because they require a great deal of effort to pull off successfully. If you choose to pursue mixed methods, it’s especially important to robustly justify your methods here.

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Next, you should indicate how you processed and analysed your data. Avoid going into too much detail: you should not start introducing or discussing any of your results at this stage.

In quantitative research , your analysis will be based on numbers. In your methods section, you can include:

  • How you prepared the data before analysing it (e.g., checking for missing data , removing outliers , transforming variables)
  • Which software you used (e.g., SPSS, Stata or R)
  • Which statistical tests you used (e.g., two-tailed t test , simple linear regression )

In qualitative research, your analysis will be based on language, images, and observations (often involving some form of textual analysis ).

Specific methods might include:

  • Content analysis : Categorising and discussing the meaning of words, phrases and sentences
  • Thematic analysis : Coding and closely examining the data to identify broad themes and patterns
  • Discourse analysis : Studying communication and meaning in relation to their social context

Mixed methods combine the above two research methods, integrating both qualitative and quantitative approaches into one coherent analytical process.

Above all, your methodology section should clearly make the case for why you chose the methods you did. This is especially true if you did not take the most standard approach to your topic. In this case, discuss why other methods were not suitable for your objectives, and show how this approach contributes new knowledge or understanding.

In any case, it should be overwhelmingly clear to your reader that you set yourself up for success in terms of your methodology’s design. Show how your methods should lead to results that are valid and reliable, while leaving the analysis of the meaning, importance, and relevance of your results for your discussion section .

  • Quantitative: Lab-based experiments cannot always accurately simulate real-life situations and behaviours, but they are effective for testing causal relationships between variables .
  • Qualitative: Unstructured interviews usually produce results that cannot be generalised beyond the sample group , but they provide a more in-depth understanding of participants’ perceptions, motivations, and emotions.
  • Mixed methods: Despite issues systematically comparing differing types of data, a solely quantitative study would not sufficiently incorporate the lived experience of each participant, while a solely qualitative study would be insufficiently generalisable.

Remember that your aim is not just to describe your methods, but to show how and why you applied them. Again, it’s critical to demonstrate that your research was rigorously conducted and can be replicated.

1. Focus on your objectives and research questions

The methodology section should clearly show why your methods suit your objectives  and convince the reader that you chose the best possible approach to answering your problem statement and research questions .

2. Cite relevant sources

Your methodology can be strengthened by referencing existing research in your field. This can help you to:

  • Show that you followed established practice for your type of research
  • Discuss how you decided on your approach by evaluating existing research
  • Present a novel methodological approach to address a gap in the literature

3. Write for your audience

Consider how much information you need to give, and avoid getting too lengthy. If you are using methods that are standard for your discipline, you probably don’t need to give a lot of background or justification.

Regardless, your methodology should be a clear, well-structured text that makes an argument for your approach, not just a list of technical details and procedures.

Methodology refers to the overarching strategy and rationale of your research. Developing your methodology involves studying the research methods used in your field and the theories or principles that underpin them, in order to choose the approach that best matches your objectives.

Methods are the specific tools and procedures you use to collect and analyse data (e.g. interviews, experiments , surveys , statistical tests ).

In a dissertation or scientific paper, the methodology chapter or methods section comes after the introduction and before the results , discussion and conclusion .

Depending on the length and type of document, you might also include a literature review or theoretical framework before the methodology.

Quantitative research deals with numbers and statistics, while qualitative research deals with words and meanings.

Quantitative methods allow you to test a hypothesis by systematically collecting and analysing data, while qualitative methods allow you to explore ideas and experiences in depth.

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.

Statistical sampling allows you to test a hypothesis about the characteristics of a population. There are various sampling methods you can use to ensure that your sample is representative of the population as a whole.

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How to Write an Abstract | Steps & Examples

Published on February 28, 2019 by Shona McCombes . Revised on July 18, 2023 by Eoghan Ryan.

How to Write an Abstract

An abstract is a short summary of a longer work (such as a thesis ,  dissertation or research paper ). The abstract concisely reports the aims and outcomes of your research, so that readers know exactly what your paper is about.

Although the structure may vary slightly depending on your discipline, your abstract should describe the purpose of your work, the methods you’ve used, and the conclusions you’ve drawn.

One common way to structure your abstract is to use the IMRaD structure. This stands for:

  • Introduction

Abstracts are usually around 100–300 words, but there’s often a strict word limit, so make sure to check the relevant requirements.

In a dissertation or thesis , include the abstract on a separate page, after the title page and acknowledgements but before the table of contents .

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Table of contents

Abstract example, when to write an abstract, step 1: introduction, step 2: methods, step 3: results, step 4: discussion, tips for writing an abstract, other interesting articles, frequently asked questions about abstracts.

Hover over the different parts of the abstract to see how it is constructed.

This paper examines the role of silent movies as a mode of shared experience in the US during the early twentieth century. At this time, high immigration rates resulted in a significant percentage of non-English-speaking citizens. These immigrants faced numerous economic and social obstacles, including exclusion from public entertainment and modes of discourse (newspapers, theater, radio).

Incorporating evidence from reviews, personal correspondence, and diaries, this study demonstrates that silent films were an affordable and inclusive source of entertainment. It argues for the accessible economic and representational nature of early cinema. These concerns are particularly evident in the low price of admission and in the democratic nature of the actors’ exaggerated gestures, which allowed the plots and action to be easily grasped by a diverse audience despite language barriers.

Keywords: silent movies, immigration, public discourse, entertainment, early cinema, language barriers.

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the aim of a dissertation

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You will almost always have to include an abstract when:

  • Completing a thesis or dissertation
  • Submitting a research paper to an academic journal
  • Writing a book or research proposal
  • Applying for research grants

It’s easiest to write your abstract last, right before the proofreading stage, because it’s a summary of the work you’ve already done. Your abstract should:

  • Be a self-contained text, not an excerpt from your paper
  • Be fully understandable on its own
  • Reflect the structure of your larger work

Start by clearly defining the purpose of your research. What practical or theoretical problem does the research respond to, or what research question did you aim to answer?

You can include some brief context on the social or academic relevance of your dissertation topic , but don’t go into detailed background information. If your abstract uses specialized terms that would be unfamiliar to the average academic reader or that have various different meanings, give a concise definition.

After identifying the problem, state the objective of your research. Use verbs like “investigate,” “test,” “analyze,” or “evaluate” to describe exactly what you set out to do.

This part of the abstract can be written in the present or past simple tense  but should never refer to the future, as the research is already complete.

  • This study will investigate the relationship between coffee consumption and productivity.
  • This study investigates the relationship between coffee consumption and productivity.

Next, indicate the research methods that you used to answer your question. This part should be a straightforward description of what you did in one or two sentences. It is usually written in the past simple tense, as it refers to completed actions.

  • Structured interviews will be conducted with 25 participants.
  • Structured interviews were conducted with 25 participants.

Don’t evaluate validity or obstacles here — the goal is not to give an account of the methodology’s strengths and weaknesses, but to give the reader a quick insight into the overall approach and procedures you used.

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Next, summarize the main research results . This part of the abstract can be in the present or past simple tense.

  • Our analysis has shown a strong correlation between coffee consumption and productivity.
  • Our analysis shows a strong correlation between coffee consumption and productivity.
  • Our analysis showed a strong correlation between coffee consumption and productivity.

Depending on how long and complex your research is, you may not be able to include all results here. Try to highlight only the most important findings that will allow the reader to understand your conclusions.

Finally, you should discuss the main conclusions of your research : what is your answer to the problem or question? The reader should finish with a clear understanding of the central point that your research has proved or argued. Conclusions are usually written in the present simple tense.

  • We concluded that coffee consumption increases productivity.
  • We conclude that coffee consumption increases productivity.

If there are important limitations to your research (for example, related to your sample size or methods), you should mention them briefly in the abstract. This allows the reader to accurately assess the credibility and generalizability of your research.

If your aim was to solve a practical problem, your discussion might include recommendations for implementation. If relevant, you can briefly make suggestions for further research.

If your paper will be published, you might have to add a list of keywords at the end of the abstract. These keywords should reference the most important elements of the research to help potential readers find your paper during their own literature searches.

Be aware that some publication manuals, such as APA Style , have specific formatting requirements for these keywords.

It can be a real challenge to condense your whole work into just a couple of hundred words, but the abstract will be the first (and sometimes only) part that people read, so it’s important to get it right. These strategies can help you get started.

Read other abstracts

The best way to learn the conventions of writing an abstract in your discipline is to read other people’s. You probably already read lots of journal article abstracts while conducting your literature review —try using them as a framework for structure and style.

You can also find lots of dissertation abstract examples in thesis and dissertation databases .

Reverse outline

Not all abstracts will contain precisely the same elements. For longer works, you can write your abstract through a process of reverse outlining.

For each chapter or section, list keywords and draft one to two sentences that summarize the central point or argument. This will give you a framework of your abstract’s structure. Next, revise the sentences to make connections and show how the argument develops.

Write clearly and concisely

A good abstract is short but impactful, so make sure every word counts. Each sentence should clearly communicate one main point.

To keep your abstract or summary short and clear:

  • Avoid passive sentences: Passive constructions are often unnecessarily long. You can easily make them shorter and clearer by using the active voice.
  • Avoid long sentences: Substitute longer expressions for concise expressions or single words (e.g., “In order to” for “To”).
  • Avoid obscure jargon: The abstract should be understandable to readers who are not familiar with your topic.
  • Avoid repetition and filler words: Replace nouns with pronouns when possible and eliminate unnecessary words.
  • Avoid detailed descriptions: An abstract is not expected to provide detailed definitions, background information, or discussions of other scholars’ work. Instead, include this information in the body of your thesis or paper.

If you’re struggling to edit down to the required length, you can get help from expert editors with Scribbr’s professional proofreading services or use the paraphrasing tool .

Check your formatting

If you are writing a thesis or dissertation or submitting to a journal, there are often specific formatting requirements for the abstract—make sure to check the guidelines and format your work correctly. For APA research papers you can follow the APA abstract format .

Checklist: Abstract

The word count is within the required length, or a maximum of one page.

The abstract appears after the title page and acknowledgements and before the table of contents .

I have clearly stated my research problem and objectives.

I have briefly described my methodology .

I have summarized the most important results .

I have stated my main conclusions .

I have mentioned any important limitations and recommendations.

The abstract can be understood by someone without prior knowledge of the topic.

You've written a great abstract! Use the other checklists to continue improving your thesis or dissertation.

If you want to know more about AI for academic writing, AI tools, or research bias, make sure to check out some of our other articles with explanations and examples or go directly to our tools!

Research bias

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An abstract is a concise summary of an academic text (such as a journal article or dissertation ). It serves two main purposes:

  • To help potential readers determine the relevance of your paper for their own research.
  • To communicate your key findings to those who don’t have time to read the whole paper.

Abstracts are often indexed along with keywords on academic databases, so they make your work more easily findable. Since the abstract is the first thing any reader sees, it’s important that it clearly and accurately summarizes the contents of your paper.

An abstract for a thesis or dissertation is usually around 200–300 words. There’s often a strict word limit, so make sure to check your university’s requirements.

The abstract is the very last thing you write. You should only write it after your research is complete, so that you can accurately summarize the entirety of your thesis , dissertation or research paper .

Avoid citing sources in your abstract . There are two reasons for this:

  • The abstract should focus on your original research, not on the work of others.
  • The abstract should be self-contained and fully understandable without reference to other sources.

There are some circumstances where you might need to mention other sources in an abstract: for example, if your research responds directly to another study or focuses on the work of a single theorist. In general, though, don’t include citations unless absolutely necessary.

The abstract appears on its own page in the thesis or dissertation , after the title page and acknowledgements but before the table of contents .

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McCombes, S. (2023, July 18). How to Write an Abstract | Steps & Examples. Scribbr. Retrieved March 18, 2024, from https://www.scribbr.com/dissertation/abstract/

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