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How to Write a Research Design – Guide with Examples

Published by Alaxendra Bets at August 14th, 2021 , Revised On June 24, 2024

A research design is a structure that combines different components of research. It involves the use of different data collection and data analysis techniques logically to answer the  research questions .

It would be best to make some decisions about addressing the research questions adequately before starting the research process, which is achieved with the help of the research design.

Below are the key aspects of the decision-making process:

  • Data type required for research
  • Research resources
  • Participants required for research
  • Hypothesis based upon research question(s)
  • Data analysis  methodologies
  • Variables (Independent, dependent, and confounding)
  • The location and timescale for conducting the data
  • The time period required for research

The research design provides the strategy of investigation for your project. Furthermore, it defines the parameters and criteria to compile the data to evaluate results and conclude.

Your project’s validity depends on the data collection and  interpretation techniques.  A strong research design reflects a strong  dissertation , scientific paper, or research proposal .

Steps of research design

Step 1: Establish Priorities for Research Design

Before conducting any research study, you must address an important question: “how to create a research design.”

The research design depends on the researcher’s priorities and choices because every research has different priorities. For a complex research study involving multiple methods, you may choose to have more than one research design.

Multimethodology or multimethod research includes using more than one data collection method or research in a research study or set of related studies.

If one research design is weak in one area, then another research design can cover that weakness. For instance, a  dissertation analyzing different situations or cases will have more than one research design.

For example:

  • Experimental research involves experimental investigation and laboratory experience, but it does not accurately investigate the real world.
  • Quantitative research is good for the  statistical part of the project, but it may not provide an in-depth understanding of the  topic .
  • Also, correlational research will not provide experimental results because it is a technique that assesses the statistical relationship between two variables.

While scientific considerations are a fundamental aspect of the research design, It is equally important that the researcher think practically before deciding on its structure. Here are some questions that you should think of;

  • Do you have enough time to gather data and complete the write-up?
  • Will you be able to collect the necessary data by interviewing a specific person or visiting a specific location?
  • Do you have in-depth knowledge about the  different statistical analysis and data collection techniques to address the research questions  or test the  hypothesis ?

If you think that the chosen research design cannot answer the research questions properly, you can refine your research questions to gain better insight.

Step 2: Data Type you Need for Research

Decide on the type of data you need for your research. The type of data you need to collect depends on your research questions or research hypothesis. Two types of research data can be used to answer the research questions:

Primary Data Vs. Secondary Data

The researcher collects the primary data from first-hand sources with the help of different data collection methods such as interviews, experiments, surveys, etc. Primary research data is considered far more authentic and relevant, but it involves additional cost and time.
Research on academic references which themselves incorporate primary data will be regarded as secondary data. There is no need to do a survey or interview with a person directly, and it is time effective. The researcher should focus on the validity and reliability of the source.

Qualitative Vs. Quantitative Data

This type of data encircles the researcher’s descriptive experience and shows the relationship between the observation and collected data. It involves interpretation and conceptual understanding of the research. There are many theories involved which can approve or disapprove the mathematical and statistical calculation. For instance, you are searching how to write a research design proposal. It means you require qualitative data about the mentioned topic.
If your research requires statistical and mathematical approaches for measuring the variable and testing your hypothesis, your objective is to compile quantitative data. Many businesses and researchers use this type of data with pre-determined data collection methods and variables for their research design.

Also, see; Research methods, design, and analysis .

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Step 3: Data Collection Techniques

Once you have selected the type of research to answer your research question, you need to decide where and how to collect the data.

It is time to determine your research method to address the  research problem . Research methods involve procedures, techniques, materials, and tools used for the study.

For instance, a dissertation research design includes the different resources and data collection techniques and helps establish your  dissertation’s structure .

The following table shows the characteristics of the most popularly employed research methods.

Research Methods

Methods What to consider
Surveys The survey planning requires;

Selection of responses and how many responses are required for the research?

Survey distribution techniques (online, by post, in person, etc.)

Techniques to design the question

Interviews Criteria to select the interviewee.

Time and location of the interview.

Type of interviews; i.e., structured, semi-structured, or unstructured

Experiments Place of the experiment; laboratory or in the field.

Measuring of the variables

Design of the experiment

Secondary Data Criteria to select the references and source for the data.

The reliability of the references.

The technique used for compiling the data source.

Step 4: Procedure of Data Analysis

Use of the  correct data and statistical analysis technique is necessary for the validity of your research. Therefore, you need to be certain about the data type that would best address the research problem. Choosing an appropriate analysis method is the final step for the research design. It can be split into two main categories;

Quantitative Data Analysis

The quantitative data analysis technique involves analyzing the numerical data with the help of different applications such as; SPSS, STATA, Excel, origin lab, etc.

This data analysis strategy tests different variables such as spectrum, frequencies, averages, and more. The research question and the hypothesis must be established to identify the variables for testing.

Qualitative Data Analysis

Qualitative data analysis of figures, themes, and words allows for flexibility and the researcher’s subjective opinions. This means that the researcher’s primary focus will be interpreting patterns, tendencies, and accounts and understanding the implications and social framework.

You should be clear about your research objectives before starting to analyze the data. For example, you should ask yourself whether you need to explain respondents’ experiences and insights or do you also need to evaluate their responses with reference to a certain social framework.

Step 5: Write your Research Proposal

The research design is an important component of a research proposal because it plans the project’s execution. You can share it with the supervisor, who would evaluate the feasibility and capacity of the results  and  conclusion .

Read our guidelines to write a research proposal  if you have already formulated your research design. The research proposal is written in the future tense because you are writing your proposal before conducting research.

The  research methodology  or research design, on the other hand, is generally written in the past tense.

How to Write a Research Design – Conclusion

A research design is the plan, structure, strategy of investigation conceived to answer the research question and test the hypothesis. The dissertation research design can be classified based on the type of data and the type of analysis.

Above mentioned five steps are the answer to how to write a research design. So, follow these steps to  formulate the perfect research design for your dissertation .

ResearchProspect writers have years of experience creating research designs that align with the dissertation’s aim and objectives. If you are struggling with your dissertation methodology chapter, you might want to look at our dissertation part-writing service.

Our dissertation writers can also help you with the full dissertation paper . No matter how urgent or complex your need may be, ResearchProspect can help. We also offer PhD level research paper writing services.

Frequently Asked Questions

What is research design.

Research design is a systematic plan that guides the research process, outlining the methodology and procedures for collecting and analysing data. It determines the structure of the study, ensuring the research question is answered effectively, reliably, and validly. It serves as the blueprint for the entire research project.

How to write a research design?

To write a research design, define your research question, identify the research method (qualitative, quantitative, or mixed), choose data collection techniques (e.g., surveys, interviews), determine the sample size and sampling method, outline data analysis procedures, and highlight potential limitations and ethical considerations for the study.

How to write the design section of a research paper?

In the design section of a research paper, describe the research methodology chosen and justify its selection. Outline the data collection methods, participants or samples, instruments used, and procedures followed. Detail any experimental controls, if applicable. Ensure clarity and precision to enable replication of the study by other researchers.

How to write a research design in methodology?

To write a research design in methodology, clearly outline the research strategy (e.g., experimental, survey, case study). Describe the sampling technique, participants, and data collection methods. Detail the procedures for data collection and analysis. Justify choices by linking them to research objectives, addressing reliability and validity.

You May Also Like

Make sure that your selected topic is intriguing, manageable, and relevant. Here are some guidelines to help understand how to find a good dissertation topic.

Find how to write research questions with the mentioned steps required for a perfect research question. Choose an interesting topic and begin your research.

How to write a hypothesis for dissertation,? A hypothesis is a statement that can be tested with the help of experimental or theoretical research.

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Research Design | Step-by-Step Guide with Examples

Published on 5 May 2022 by Shona McCombes . Revised on 20 March 2023.

A research design is a strategy for answering your research question  using empirical data. Creating a research design means making decisions about:

  • Your overall aims and approach
  • The type of research design you’ll use
  • Your sampling methods or criteria for selecting subjects
  • Your data collection methods
  • The procedures you’ll follow to collect data
  • Your data analysis methods

A well-planned research design helps ensure that your methods match your research aims and that you use the right kind of analysis for your data.

Table of contents

Step 1: consider your aims and approach, step 2: choose a type of research design, step 3: identify your population and sampling method, step 4: choose your data collection methods, step 5: plan your data collection procedures, step 6: decide on your data analysis strategies, frequently asked questions.

  • Introduction

Before you can start designing your research, you should already have a clear idea of the research question you want to investigate.

There are many different ways you could go about answering this question. Your research design choices should be driven by your aims and priorities – start by thinking carefully about what you want to achieve.

The first choice you need to make is whether you’ll take a qualitative or quantitative approach.

Qualitative approach Quantitative approach

Qualitative research designs tend to be more flexible and inductive , allowing you to adjust your approach based on what you find throughout the research process.

Quantitative research designs tend to be more fixed and deductive , with variables and hypotheses clearly defined in advance of data collection.

It’s also possible to use a mixed methods design that integrates aspects of both approaches. By combining qualitative and quantitative insights, you can gain a more complete picture of the problem you’re studying and strengthen the credibility of your conclusions.

Practical and ethical considerations when designing research

As well as scientific considerations, you need to think practically when designing your research. If your research involves people or animals, you also need to consider research ethics .

  • How much time do you have to collect data and write up the research?
  • Will you be able to gain access to the data you need (e.g., by travelling to a specific location or contacting specific people)?
  • Do you have the necessary research skills (e.g., statistical analysis or interview techniques)?
  • Will you need ethical approval ?

At each stage of the research design process, make sure that your choices are practically feasible.

Prevent plagiarism, run a free check.

Within both qualitative and quantitative approaches, there are several types of research design to choose from. Each type provides a framework for the overall shape of your research.

Types of quantitative research designs

Quantitative designs can be split into four main types. Experimental and   quasi-experimental designs allow you to test cause-and-effect relationships, while descriptive and correlational designs allow you to measure variables and describe relationships between them.

Type of design Purpose and characteristics
Experimental
Quasi-experimental
Correlational
Descriptive

With descriptive and correlational designs, you can get a clear picture of characteristics, trends, and relationships as they exist in the real world. However, you can’t draw conclusions about cause and effect (because correlation doesn’t imply causation ).

Experiments are the strongest way to test cause-and-effect relationships without the risk of other variables influencing the results. However, their controlled conditions may not always reflect how things work in the real world. They’re often also more difficult and expensive to implement.

Types of qualitative research designs

Qualitative designs are less strictly defined. This approach is about gaining a rich, detailed understanding of a specific context or phenomenon, and you can often be more creative and flexible in designing your research.

The table below shows some common types of qualitative design. They often have similar approaches in terms of data collection, but focus on different aspects when analysing the data.

Type of design Purpose and characteristics
Grounded theory
Phenomenology

Your research design should clearly define who or what your research will focus on, and how you’ll go about choosing your participants or subjects.

In research, a population is the entire group that you want to draw conclusions about, while a sample is the smaller group of individuals you’ll actually collect data from.

Defining the population

A population can be made up of anything you want to study – plants, animals, organisations, texts, countries, etc. In the social sciences, it most often refers to a group of people.

For example, will you focus on people from a specific demographic, region, or background? Are you interested in people with a certain job or medical condition, or users of a particular product?

The more precisely you define your population, the easier it will be to gather a representative sample.

Sampling methods

Even with a narrowly defined population, it’s rarely possible to collect data from every individual. Instead, you’ll collect data from a sample.

To select a sample, there are two main approaches: probability sampling and non-probability sampling . The sampling method you use affects how confidently you can generalise your results to the population as a whole.

Probability sampling Non-probability sampling

Probability sampling is the most statistically valid option, but it’s often difficult to achieve unless you’re dealing with a very small and accessible population.

For practical reasons, many studies use non-probability sampling, but it’s important to be aware of the limitations and carefully consider potential biases. You should always make an effort to gather a sample that’s as representative as possible of the population.

Case selection in qualitative research

In some types of qualitative designs, sampling may not be relevant.

For example, in an ethnography or a case study, your aim is to deeply understand a specific context, not to generalise to a population. Instead of sampling, you may simply aim to collect as much data as possible about the context you are studying.

In these types of design, you still have to carefully consider your choice of case or community. You should have a clear rationale for why this particular case is suitable for answering your research question.

For example, you might choose a case study that reveals an unusual or neglected aspect of your research problem, or you might choose several very similar or very different cases in order to compare them.

Data collection methods are ways of directly measuring variables and gathering information. They allow you to gain first-hand knowledge and original insights into your research problem.

You can choose just one data collection method, or use several methods in the same study.

Survey methods

Surveys allow you to collect data about opinions, behaviours, experiences, and characteristics by asking people directly. There are two main survey methods to choose from: questionnaires and interviews.

Questionnaires Interviews

Observation methods

Observations allow you to collect data unobtrusively, observing characteristics, behaviours, or social interactions without relying on self-reporting.

Observations may be conducted in real time, taking notes as you observe, or you might make audiovisual recordings for later analysis. They can be qualitative or quantitative.

Quantitative observation

Other methods of data collection

There are many other ways you might collect data depending on your field and topic.

Field Examples of data collection methods
Media & communication Collecting a sample of texts (e.g., speeches, articles, or social media posts) for data on cultural norms and narratives
Psychology Using technologies like neuroimaging, eye-tracking, or computer-based tasks to collect data on things like attention, emotional response, or reaction time
Education Using tests or assignments to collect data on knowledge and skills
Physical sciences Using scientific instruments to collect data on things like weight, blood pressure, or chemical composition

If you’re not sure which methods will work best for your research design, try reading some papers in your field to see what data collection methods they used.

Secondary data

If you don’t have the time or resources to collect data from the population you’re interested in, you can also choose to use secondary data that other researchers already collected – for example, datasets from government surveys or previous studies on your topic.

With this raw data, you can do your own analysis to answer new research questions that weren’t addressed by the original study.

Using secondary data can expand the scope of your research, as you may be able to access much larger and more varied samples than you could collect yourself.

However, it also means you don’t have any control over which variables to measure or how to measure them, so the conclusions you can draw may be limited.

As well as deciding on your methods, you need to plan exactly how you’ll use these methods to collect data that’s consistent, accurate, and unbiased.

Planning systematic procedures is especially important in quantitative research, where you need to precisely define your variables and ensure your measurements are reliable and valid.

Operationalisation

Some variables, like height or age, are easily measured. But often you’ll be dealing with more abstract concepts, like satisfaction, anxiety, or competence. Operationalisation means turning these fuzzy ideas into measurable indicators.

If you’re using observations , which events or actions will you count?

If you’re using surveys , which questions will you ask and what range of responses will be offered?

You may also choose to use or adapt existing materials designed to measure the concept you’re interested in – for example, questionnaires or inventories whose reliability and validity has already been established.

Reliability and validity

Reliability means your results can be consistently reproduced , while validity means that you’re actually measuring the concept you’re interested in.

Reliability Validity

For valid and reliable results, your measurement materials should be thoroughly researched and carefully designed. Plan your procedures to make sure you carry out the same steps in the same way for each participant.

If you’re developing a new questionnaire or other instrument to measure a specific concept, running a pilot study allows you to check its validity and reliability in advance.

Sampling procedures

As well as choosing an appropriate sampling method, you need a concrete plan for how you’ll actually contact and recruit your selected sample.

That means making decisions about things like:

  • How many participants do you need for an adequate sample size?
  • What inclusion and exclusion criteria will you use to identify eligible participants?
  • How will you contact your sample – by mail, online, by phone, or in person?

If you’re using a probability sampling method, it’s important that everyone who is randomly selected actually participates in the study. How will you ensure a high response rate?

If you’re using a non-probability method, how will you avoid bias and ensure a representative sample?

Data management

It’s also important to create a data management plan for organising and storing your data.

Will you need to transcribe interviews or perform data entry for observations? You should anonymise and safeguard any sensitive data, and make sure it’s backed up regularly.

Keeping your data well organised will save time when it comes to analysing them. It can also help other researchers validate and add to your findings.

On their own, raw data can’t answer your research question. The last step of designing your research is planning how you’ll analyse the data.

Quantitative data analysis

In quantitative research, you’ll most likely use some form of statistical analysis . With statistics, you can summarise your sample data, make estimates, and test hypotheses.

Using descriptive statistics , you can summarise your sample data in terms of:

  • The distribution of the data (e.g., the frequency of each score on a test)
  • The central tendency of the data (e.g., the mean to describe the average score)
  • The variability of the data (e.g., the standard deviation to describe how spread out the scores are)

The specific calculations you can do depend on the level of measurement of your variables.

Using inferential statistics , you can:

  • Make estimates about the population based on your sample data.
  • Test hypotheses about a relationship between variables.

Regression and correlation tests look for associations between two or more variables, while comparison tests (such as t tests and ANOVAs ) look for differences in the outcomes of different groups.

Your choice of statistical test depends on various aspects of your research design, including the types of variables you’re dealing with and the distribution of your data.

Qualitative data analysis

In qualitative research, your data will usually be very dense with information and ideas. Instead of summing it up in numbers, you’ll need to comb through the data in detail, interpret its meanings, identify patterns, and extract the parts that are most relevant to your research question.

Two of the most common approaches to doing this are thematic analysis and discourse analysis .

Approach Characteristics
Thematic analysis
Discourse analysis

There are many other ways of analysing qualitative data depending on the aims of your research. To get a sense of potential approaches, try reading some qualitative research papers in your field.

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.

Operationalisation means turning abstract conceptual ideas into measurable observations.

For example, the concept of social anxiety isn’t directly observable, but it can be operationally defined in terms of self-rating scores, behavioural avoidance of crowded places, or physical anxiety symptoms in social situations.

Before collecting data , it’s important to consider how you will operationalise the variables that you want to measure.

The research methods you use depend on the type of data you need to answer your research question .

  • If you want to measure something or test a hypothesis , use quantitative methods . If you want to explore ideas, thoughts, and meanings, use qualitative methods .
  • If you want to analyse a large amount of readily available data, use secondary data. If you want data specific to your purposes with control over how they are generated, collect primary data.
  • If you want to establish cause-and-effect relationships between variables , use experimental methods. If you want to understand the characteristics of a research subject, use descriptive methods.

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How To Write A Research Design Like A Pro

How to Write a Research Design

The overall strategy that a researcher chooses to address all the different parts of their study in a logical and clear manner is known as a research design.

So, what is research design in research paper? A research design is a general plan explaining what one looks to do so as to answer the research question. Generally, it is a detailed outline of how research or an investigation will take place including; how data will be collected, which tools will be employed and how they will be used, and the ways through with the data will be analyzed.

It lays out the method you use to collect, measure, and analyze information. It states that you do this logically and coherently to ensure that you thoroughly address the research problem with which you are dealing. There are numerous types of research design including:

Action Study Research Design Case Study Research Design Casual Research Design Cohort Research Design Cross-Sectional Research Design Correlational Research Design Descriptive Research Design Experimental Research Design Exploratory Research Design Historical Research Design Longitudinal Research Design Observational Research Design Philosophical Research Design Qualitative Research Design Quantitative Research Design Sequential Research Design

The research paper design you choose depends on the research problem. You should analyze the problem carefully and consider it from numerous perspectives. You may consider using a mixed methods research design which is a combination of any two designs listed above. But you must choose a type of research design that is strong and will make your project progress smoothly.

Example Of A Nursing Research Design

To assess the links between professional satisfaction, job satisfaction, and contributing factors using a quantitative approach, an appropriate method is to gain use questionnaires or surveys that provide numerical data from the sample. To achieve an appropriate sample, a sampling plan should be developed. In this case, the population of concern will be identified. This will be nursing staff members, possibly across a wide range of departments to gain a better insight into the links overall. A stratified sampling method would be appropriate here to ensure that the sample is made up of sub-populations that are in line with the sub-populations of the total: the strata should include gender, number of years in nursing, department, and any other factors that could be confounding variables. This will ensure that the sample is representative of the population of interest. In a population of 1000 nurses, a confidence interval of five, and a confidence level of 99%, the sample size needed is 400. Inclusion criteria will include: nursing staff working at the hospital, ability to speak the language that the survey is administered in, and those that have given informed consent. Exclusion criteria will be visiting nursing staff, staff who are not nurses, and those that do not hold relevant nursing criteria.

Sampling Plan: Qualitative

A more appropriate methodology for qualitative approaches is to use interviews or focus groups. This means that the sample size can be much smaller, often as low as ten. In this case, the sampling plan will have the same population of concern, but a different approach to sampling can be used. It may be more appropriate to use quota, self-selection sampling here, as nursing staff need to be willing to give up some time to respond. This has drawbacks, including self-selection bias, but it would be unethical to force nursing staff to participate in the project, especially considering interviews can take one hour or more. The inclusion and exclusion criteria are as above.

How to Write a Research Design Proposal

For most research problems, you will have to make some tradeoffs. One design can be strong in some areas and weak in other areas. This is the reason many students choose to select more than one design to gather all the information accurately and effectively they need to address the problem. This is one of the first things you should know about how to write research design and methods section.

  • Consider Your Practicalities and Priorities

What do we mean when we say you need to think about practicalities and priorities? Another thing to know about how to write design and methodology of the research is asking several questions before settling on one or two methodologies. You will not have the time or resources to conduct tests using several research designs, so you need to write down and answer precisely what your priorities are and the practical nature of your study.

A good place to start is at the library where you have access to other academic studies in your field. You can find similar studies and look at published samples that have been approved by experts in the field. You can also get a sense of the number of resources you have available. Pre-planning is a great way of making sure your project stays on track.

  • Determine the Kind of Information You Need

The next to know about how to write a qualitative research design is figuring out the kind of information or data you need to answer the research problem. There are two places where you get this: through primary and secondary data. In your research study, you get original data through experiments, interviews, and surveys. This is information you analyze and incorporate into your research finding.

Your study will also incorporate information gathered by someone else in previous studies. This type of data is available in libraries and online databases where you can look at national statistics, official records, and publications from academic and government sources.

  • Identify How You Are Going to Collect Information

Once you know the kind of information you need to gather (qualitative and quantitative) you need to decide where, when, and how you will gather it. How to write a research design requires you to describe your research methods. This means putting in detail the materials, procedures, tools, and techniques you will use and apply. You also need to point out the criteria you will use to choose your participants and sources. (For example, how many participants will you need to fill out services to get a good method to sample).

  • Decide How You Are Going to Analyze the Information

Another thing you need to know about how to write a research design relates to the way you are going to analyze the information you collect. The process of analysis is the last step you need to develop your research design. Numerous computer applications will sort through information and retrieve what you need to answer the research problem (For example, Access and Excel). Identify the ones you will use and state this in the research design.

  • Draft Your Research Design as You Would Other Sections

Now you can start writing the first draft. You should approach this like you would other academic assignments. Use a draft that lists all the sub-sections you need to address in the research design. Be clear and concise. The research design should not include your opinions. It must show the reader an exact description of the way you conducted your study.

  • Revise Your Research Design After Some Time Away

Hindsight is one of the best things that can come from separating yourself from your assignment for a few days. We recommend students remove themselves completely from their work to get a mental break. The distance will help them rethink their writing and make changes that improve the overall quality of an assignment.

The trick is to do stay away a few days instead of just a few hours. The time away from any piece of writing will allow for more self-evaluation that is objective. Many students will find ways to remove, add, or rearrange words, phrases, sentences, and paragraphs that make their assignments stronger.

  • Edit and Proofread Your Research Design for Perfection

These two activities are not interchangeable. Editing focuses on deep issues like correcting sentence constructions and word choices. A thorough editing session will improve things like clarity, readability, and tone. Proofreading focuses on details like grammar, punctuation, and misspellings. It will also look at page numbering, formatting, alignment, and visual elements.

Both activities are important stages of the writing process. A great editor will begin his or her work during the revising process. A great proofread will also begin his or her work during the editing process. While they may overlap you should always treat them as two separate tasks and designate enough time to do each without distraction.

  • Have a Colleague Review Your Work for Feedback

Having a colleague or peer review your work is an important step to the academic writing process. A person or a group of people that understands your field and the high standard of researching and writing that comes with putting together a great research paper can valuable toward your success at the collegiate and graduate levels. Even if you can only show your work to one person for a few hours, his or her feedback can help you make changes to improve the overall quality of your research design.

Here are some questions you should consider before asking someone to review your work:

Do they understand the research subject and/or topic? Do they know the professor or panel that will grade your work? Have they submitted research studies in the past? Do they have great to excellent grades when it comes to research? Are they committed to providing you constructive criticism and feedback?

What to Do If You Can’t Do the Research Design

You may not have enough time to create this section, especially when you have a short deadline. On these occasions, it is a good idea to find a template for a research design paper. You can find templates online or can refer to published research papers in academic journals. The formats are standard so as long as you apply your words to a template that matches your design approach.

If you need more information or assistance learning about how to write a research design section, our customer support team can point you to more resources or put you in contact with one of our academic writing and editing experts. Each expert has earned either a bachelor’s or master’s degree and specialize in specific disciplines. You can rest assured that you will be assigned someone that knows your field inside and outside and can give you the writing research design and methodology help that you need to excel academically.

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Research Design 101: Research Methods for Students

Research Design 101: Research Methods for Students

Which of the many different types of research design is best for you?

One thing that you will want to consider early in your dissertation process is the design of your research study. By the time you start your dissertation or thesis, you have probably taken graduate and undergraduate courses about research methods; however, it has probably been a while since you have taken these courses, and you may need help sorting through all the different types of research design. Below is a brief refresher on different research designs and methodologies.

General Types of Research Designs

Descriptive: Researchers use descriptive research designs to describe particular phenomena or relationships within a single group sample. Descriptive designs are typically used as either pilot or preliminary studies and generally have rather basic statistical procedures. By nature, descriptive studies do not and cannot be used to explain causation.

Descriptive research designs usually provide researchers with information about a group or phenomenon about which there has been little research (e.g., mating patterns of Martians). However, descriptive studies lack randomization and control and cannot be used to determine causation and other implications; in other words, descriptive research designs can only be used to determine “who” and “what,” not “why.”

Quasi-Experimental: Researchers use quasi-experimental research designs to identify differences between two or more groups in an attempt to explain causation. What keeps these types of experiments from being true experiments is lack of randomization. For example, researchers cannot randomly assign gender to participants; therefore, any study in which researchers are investigating differences between genders is inherently quasi-experimental.

Quasi-experimental designs allow researchers more control to make assumptions about causation and implications of findings. Quasi-experimental designs are also useful when researchers want to study particular groups in which group members cannot be randomly assigned (e.g., persons with depression, single mothers, people from different races or ethnic groups, etc.). A major drawback to using quasi-experimental designs is that quasi-experimental research designs typically have less internal validity than do true experimental designs.

Experimental: Experimental research designs have the most control, and, thus, allow researchers to explain differences between groups. One of the key features of an experimental design is that participants are randomly assigned to groups. Experimental designs can be used to test differences between groups (e.g., treatment a group, treatment b group, and control group) or factorial differences within multiple levels of each group (e.g., a drug group [Xanax or Valium] and a psychotherapy group [Cognitive Behavioral Therapy or Rational Emotive Behavioral Therapy]).

True experimental research designs are understood to be the gold standard of research because experimental research designs are the best designs for researchers to predict causation. However, true experimental designs often require more resources than do other research designs and will not work with all research questions.

Specific Types of Research Designs

Single-Sample Repeated Measures: A design method in which the same group is tested at multiple points in time. Giving students an assessment of knowledge the first day of class and giving the same assessment on the last day of class is an example of a research design based on a single-sample repeated measures.

ABA: A specific single-sample repeated measures design in which participants are measured at baseline (A), after an intervention (B), and again after the intervention has been removed (A).

Between Groups: A design in which researchers compare the scores of two or more groups. Between-group designs can be used as either a single or repeated measure.

Matched Sample: A specific between-groups design in which researchers match participants across groups based on criteria determined by the researchers (e.g., age, IQ, gender, etc.). After matching participants based on the predetermined criteria, researchers examine differences between matched pairs (not between group means).

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Research Methods Guide: Research Design & Method

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FAQ: Research Design & Method

What is the difference between Research Design and Research Method?

Research design is a plan to answer your research question.  A research method is a strategy used to implement that plan.  Research design and methods are different but closely related, because good research design ensures that the data you obtain will help you answer your research question more effectively.

Which research method should I choose ?

It depends on your research goal.  It depends on what subjects (and who) you want to study.  Let's say you are interested in studying what makes people happy, or why some students are more conscious about recycling on campus.  To answer these questions, you need to make a decision about how to collect your data.  Most frequently used methods include:

  • Observation / Participant Observation
  • Focus Groups
  • Experiments
  • Secondary Data Analysis / Archival Study
  • Mixed Methods (combination of some of the above)

One particular method could be better suited to your research goal than others, because the data you collect from different methods will be different in quality and quantity.   For instance, surveys are usually designed to produce relatively short answers, rather than the extensive responses expected in qualitative interviews.

What other factors should I consider when choosing one method over another?

Time for data collection and analysis is something you want to consider.  An observation or interview method, so-called qualitative approach, helps you collect richer information, but it takes time.  Using a survey helps you collect more data quickly, yet it may lack details.  So, you will need to consider the time you have for research and the balance between strengths and weaknesses associated with each method (e.g., qualitative vs. quantitative).

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Home » Thesis – Structure, Example and Writing Guide

Thesis – Structure, Example and Writing Guide

Table of contents.

Thesis

Definition:

Thesis is a scholarly document that presents a student’s original research and findings on a particular topic or question. It is usually written as a requirement for a graduate degree program and is intended to demonstrate the student’s mastery of the subject matter and their ability to conduct independent research.

History of Thesis

The concept of a thesis can be traced back to ancient Greece, where it was used as a way for students to demonstrate their knowledge of a particular subject. However, the modern form of the thesis as a scholarly document used to earn a degree is a relatively recent development.

The origin of the modern thesis can be traced back to medieval universities in Europe. During this time, students were required to present a “disputation” in which they would defend a particular thesis in front of their peers and faculty members. These disputations served as a way to demonstrate the student’s mastery of the subject matter and were often the final requirement for earning a degree.

In the 17th century, the concept of the thesis was formalized further with the creation of the modern research university. Students were now required to complete a research project and present their findings in a written document, which would serve as the basis for their degree.

The modern thesis as we know it today has evolved over time, with different disciplines and institutions adopting their own standards and formats. However, the basic elements of a thesis – original research, a clear research question, a thorough review of the literature, and a well-argued conclusion – remain the same.

Structure of Thesis

The structure of a thesis may vary slightly depending on the specific requirements of the institution, department, or field of study, but generally, it follows a specific format.

Here’s a breakdown of the structure of a thesis:

This is the first page of the thesis that includes the title of the thesis, the name of the author, the name of the institution, the department, the date, and any other relevant information required by the institution.

This is a brief summary of the thesis that provides an overview of the research question, methodology, findings, and conclusions.

This page provides a list of all the chapters and sections in the thesis and their page numbers.

Introduction

This chapter provides an overview of the research question, the context of the research, and the purpose of the study. The introduction should also outline the methodology and the scope of the research.

Literature Review

This chapter provides a critical analysis of the relevant literature on the research topic. It should demonstrate the gap in the existing knowledge and justify the need for the research.

Methodology

This chapter provides a detailed description of the research methods used to gather and analyze data. It should explain the research design, the sampling method, data collection techniques, and data analysis procedures.

This chapter presents the findings of the research. It should include tables, graphs, and charts to illustrate the results.

This chapter interprets the results and relates them to the research question. It should explain the significance of the findings and their implications for the research topic.

This chapter summarizes the key findings and the main conclusions of the research. It should also provide recommendations for future research.

This section provides a list of all the sources cited in the thesis. The citation style may vary depending on the requirements of the institution or the field of study.

This section includes any additional material that supports the research, such as raw data, survey questionnaires, or other relevant documents.

How to write Thesis

Here are some steps to help you write a thesis:

  • Choose a Topic: The first step in writing a thesis is to choose a topic that interests you and is relevant to your field of study. You should also consider the scope of the topic and the availability of resources for research.
  • Develop a Research Question: Once you have chosen a topic, you need to develop a research question that you will answer in your thesis. The research question should be specific, clear, and feasible.
  • Conduct a Literature Review: Before you start your research, you need to conduct a literature review to identify the existing knowledge and gaps in the field. This will help you refine your research question and develop a research methodology.
  • Develop a Research Methodology: Once you have refined your research question, you need to develop a research methodology that includes the research design, data collection methods, and data analysis procedures.
  • Collect and Analyze Data: After developing your research methodology, you need to collect and analyze data. This may involve conducting surveys, interviews, experiments, or analyzing existing data.
  • Write the Thesis: Once you have analyzed the data, you need to write the thesis. The thesis should follow a specific structure that includes an introduction, literature review, methodology, results, discussion, conclusion, and references.
  • Edit and Proofread: After completing the thesis, you need to edit and proofread it carefully. You should also have someone else review it to ensure that it is clear, concise, and free of errors.
  • Submit the Thesis: Finally, you need to submit the thesis to your academic advisor or committee for review and evaluation.

Example of Thesis

Example of Thesis template for Students:

Title of Thesis

Table of Contents:

Chapter 1: Introduction

Chapter 2: Literature Review

Chapter 3: Research Methodology

Chapter 4: Results

Chapter 5: Discussion

Chapter 6: Conclusion

References:

Appendices:

Note: That’s just a basic template, but it should give you an idea of the structure and content that a typical thesis might include. Be sure to consult with your department or supervisor for any specific formatting requirements they may have. Good luck with your thesis!

Application of Thesis

Thesis is an important academic document that serves several purposes. Here are some of the applications of thesis:

  • Academic Requirement: A thesis is a requirement for many academic programs, especially at the graduate level. It is an essential component of the evaluation process and demonstrates the student’s ability to conduct original research and contribute to the knowledge in their field.
  • Career Advancement: A thesis can also help in career advancement. Employers often value candidates who have completed a thesis as it demonstrates their research skills, critical thinking abilities, and their dedication to their field of study.
  • Publication : A thesis can serve as a basis for future publications in academic journals, books, or conference proceedings. It provides the researcher with an opportunity to present their research to a wider audience and contribute to the body of knowledge in their field.
  • Personal Development: Writing a thesis is a challenging task that requires time, dedication, and perseverance. It provides the student with an opportunity to develop critical thinking, research, and writing skills that are essential for their personal and professional development.
  • Impact on Society: The findings of a thesis can have an impact on society by addressing important issues, providing insights into complex problems, and contributing to the development of policies and practices.

Purpose of Thesis

The purpose of a thesis is to present original research findings in a clear and organized manner. It is a formal document that demonstrates a student’s ability to conduct independent research and contribute to the knowledge in their field of study. The primary purposes of a thesis are:

  • To Contribute to Knowledge: The main purpose of a thesis is to contribute to the knowledge in a particular field of study. By conducting original research and presenting their findings, the student adds new insights and perspectives to the existing body of knowledge.
  • To Demonstrate Research Skills: A thesis is an opportunity for the student to demonstrate their research skills. This includes the ability to formulate a research question, design a research methodology, collect and analyze data, and draw conclusions based on their findings.
  • To Develop Critical Thinking: Writing a thesis requires critical thinking and analysis. The student must evaluate existing literature and identify gaps in the field, as well as develop and defend their own ideas.
  • To Provide Evidence of Competence : A thesis provides evidence of the student’s competence in their field of study. It demonstrates their ability to apply theoretical concepts to real-world problems, and their ability to communicate their ideas effectively.
  • To Facilitate Career Advancement : Completing a thesis can help the student advance their career by demonstrating their research skills and dedication to their field of study. It can also provide a basis for future publications, presentations, or research projects.

When to Write Thesis

The timing for writing a thesis depends on the specific requirements of the academic program or institution. In most cases, the opportunity to write a thesis is typically offered at the graduate level, but there may be exceptions.

Generally, students should plan to write their thesis during the final year of their graduate program. This allows sufficient time for conducting research, analyzing data, and writing the thesis. It is important to start planning the thesis early and to identify a research topic and research advisor as soon as possible.

In some cases, students may be able to write a thesis as part of an undergraduate program or as an independent research project outside of an academic program. In such cases, it is important to consult with faculty advisors or mentors to ensure that the research is appropriately designed and executed.

It is important to note that the process of writing a thesis can be time-consuming and requires a significant amount of effort and dedication. It is important to plan accordingly and to allocate sufficient time for conducting research, analyzing data, and writing the thesis.

Characteristics of Thesis

The characteristics of a thesis vary depending on the specific academic program or institution. However, some general characteristics of a thesis include:

  • Originality : A thesis should present original research findings or insights. It should demonstrate the student’s ability to conduct independent research and contribute to the knowledge in their field of study.
  • Clarity : A thesis should be clear and concise. It should present the research question, methodology, findings, and conclusions in a logical and organized manner. It should also be well-written, with proper grammar, spelling, and punctuation.
  • Research-Based: A thesis should be based on rigorous research, which involves collecting and analyzing data from various sources. The research should be well-designed, with appropriate research methods and techniques.
  • Evidence-Based : A thesis should be based on evidence, which means that all claims made in the thesis should be supported by data or literature. The evidence should be properly cited using appropriate citation styles.
  • Critical Thinking: A thesis should demonstrate the student’s ability to critically analyze and evaluate information. It should present the student’s own ideas and arguments, and engage with existing literature in the field.
  • Academic Style : A thesis should adhere to the conventions of academic writing. It should be well-structured, with clear headings and subheadings, and should use appropriate academic language.

Advantages of Thesis

There are several advantages to writing a thesis, including:

  • Development of Research Skills: Writing a thesis requires extensive research and analytical skills. It helps to develop the student’s research skills, including the ability to formulate research questions, design and execute research methodologies, collect and analyze data, and draw conclusions based on their findings.
  • Contribution to Knowledge: Writing a thesis provides an opportunity for the student to contribute to the knowledge in their field of study. By conducting original research, they can add new insights and perspectives to the existing body of knowledge.
  • Preparation for Future Research: Completing a thesis prepares the student for future research projects. It provides them with the necessary skills to design and execute research methodologies, analyze data, and draw conclusions based on their findings.
  • Career Advancement: Writing a thesis can help to advance the student’s career. It demonstrates their research skills and dedication to their field of study, and provides a basis for future publications, presentations, or research projects.
  • Personal Growth: Completing a thesis can be a challenging and rewarding experience. It requires dedication, hard work, and perseverance. It can help the student to develop self-confidence, independence, and a sense of accomplishment.

Limitations of Thesis

There are also some limitations to writing a thesis, including:

  • Time and Resources: Writing a thesis requires a significant amount of time and resources. It can be a time-consuming and expensive process, as it may involve conducting original research, analyzing data, and producing a lengthy document.
  • Narrow Focus: A thesis is typically focused on a specific research question or topic, which may limit the student’s exposure to other areas within their field of study.
  • Limited Audience: A thesis is usually only read by a small number of people, such as the student’s thesis advisor and committee members. This limits the potential impact of the research findings.
  • Lack of Real-World Application : Some thesis topics may be highly theoretical or academic in nature, which may limit their practical application in the real world.
  • Pressure and Stress : Writing a thesis can be a stressful and pressure-filled experience, as it may involve meeting strict deadlines, conducting original research, and producing a high-quality document.
  • Potential for Isolation: Writing a thesis can be a solitary experience, as the student may spend a significant amount of time working independently on their research and writing.

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HOW TO WRITE A THESIS: Steps by step guide

how to make a research design for thesis

Introduction

In the academic world, one of the hallmark rites signifying mastery of a course or academic area is the writing of a thesis . Essentially a thesis is a typewritten work, usually 50 to 350 pages in length depending on institutions, discipline, and educational level which is often aimed at addressing a particular problem in a given field.

While a thesis is inadequate to address all the problems in a given field, it is succinct enough to address a specialized aspect of the problem by taking a stance or making a claim on what the resolution of the problem should be. Writing a thesis can be a very daunting task because most times it is the first complex research undertaking for the student. The lack of research and writing skills to write a thesis coupled with fear and a limited time frame are factors that makes the writing of a thesis daunting. However, commitment to excellence on the part of the student combined with some of the techniques and methods that will be discussed below gives a fair chance that the student will be able to deliver an excellent thesis regardless of the subject area, the depth of the research specialization and the daunting amount of materials that must be comprehended(RE: write a thesis or writing a thesis).

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What is a thesis?

A thesis is a statement, theory, argument, proposal or proposition, which is put forward as a premise to be maintained or proved. It explains the stand someone takes on an issue and how the person intends to justify the stand. It is always better to pick a topic that will be able to render professional help, a topic that you will be happy to talk about with anybody, a topic you have personal interest and passion for, because when writing a thesis gets frustrating personal interest, happiness and passion coupled with the professional help it will be easier to write a great thesis (see you through the thesis). One has to source for a lot of information concerning the topic one is writing a thesis on in order to know the important question, because for you to take a good stand on an issue you have to study the evidence first.

Qualities of a good thesis

A good thesis has the following qualities

  • A good thesis must solve an existing problem in the society, organisation, government among others.
  • A good thesis should be contestable, it should propose a point that is arguable which people can agree with or disagree.
  • It is specific, clear and focused.
  •   A good thesis does not use general terms and abstractions.  
  • The claims of a good thesis should be definable and arguable.
  • It anticipates the counter-argument s
  • It does not use unclear language
  • It avoids the first person. (“In my opinion”)
  • A strong thesis should be able to take a stand and not just taking a stand but should be able to justify the stand that is taken, so that the reader will be tempted to ask questions like how or why.
  • The thesis should be arguable, contestable, focused, specific, and clear. Make your thesis clear, strong and easy to find.
  • The conclusion of a thesis should be based on evidence.

Steps in writing a Thesis

  • First, think about good topics and theories that you can write before writing the thesis, then pick a topic. The topic or thesis statement is derived from a review of existing literature in the area of study that the researcher wants to explore. This route is taken when the unknowns in an area of study are not yet defined. Some areas of study have existing problems yearning to be solved and the drafting of the thesis topic or statement revolves around a selection of one of these problems.
  • Once you have a good thesis, put it down and draw an outline . The outline is like a map of the whole thesis and it covers more commonly the introduction, literature review, discussion of methodology, discussion of results and the thesis’ conclusions and recommendations. The outline might differ from one institution to another but the one described in the preceding sentence is what is more commonly obtainable. It is imperative at this point to note that the outline drew still requires other mini- outlines for each of the sections mentioned. The outlines and mini- outlines provide a graphical over- view of the whole project and can also be used in allocating the word- count for each section and sub- section based on the overall word- count requirement of the thesis(RE: write a thesis or writing a thesis).
  • Literature search. Remember to draw a good outline you need to do literature search to familiarize yourself with the concepts and the works of others. Similarly, to achieve this, you need to read as much material that contains necessary information as you can. There will always be a counter argument for everything so anticipate it because it will help shape your thesis. Read everything you can–academic research, trade literature, and information in the popular press and on the Internet(RE: write a thesis or writing a thesis).
  • After getting all the information you need, the knowledge you gathered should help in suggesting the aim of your thesis.

Remember; a thesis is not supposed to be a question or a list, thesis should specific and as clear as possible. The claims of a thesis should be definable and also arguable.

  • Then collecting and analyzing data, after data analysis, the result of the analysis should be written and discussed, followed by summary, conclusion, recommendations, list of references and the appendices
  • The last step is editing of the thesis and proper spell checking.

Structure of a Thesis

A conventional thesis has five chapters – chapter 1-5 which will be discussed in detail below. However, it is important to state that a thesis is not limited to any chapter or section as the case may be. In fact, a thesis can be five, six, seven or even eight chapters.  What determines the number of chapters in a thesis includes institution rules/ guideline, researcher choice, supervisor choice, programme or educational level. In fact, most PhD thesis are usually more than 5 chapters(RE: write a thesis or writing a thesis).

Preliminaries Pages: The preliminaries are the cover page, the title page, the table of contents page, and the abstract.

The introduction: The introduction is the first section and it provides as the name implies an introduction to the thesis. The introduction contains such aspects as the background to the study which provides information on the topic in the context of what is happening in the world as related to the topic. It also discusses the relevance of the topic to society, policies formulated success and failure. The introduction also contains the statement of the problem which is essentially a succinct description of the problem that the thesis want to solve and what the trend will be if the problem is not solved. The concluding part of the statement of problem ends with an outline of the research questions. These are the questions which when answered helps in achieving the aim of the thesis. The third section is the outline of research objectives. Conventionally research objectives re a conversion the research questions into an active statement form. Other parts of the introduction are a discussion of hypotheses (if any), the significance of the study, delimitations, proposed methodology and a discussion of the structure of the study(RE: write a thesis or writing a thesis).

The main body includes the following; the literature review, methodology, research results and discussion of the result, the summary, conclusion and recommendations, the list of references and the appendices.

The literature review : The literature review is often the most voluminous aspects of a thesis because it reviews past empirical and theoretical literature about the problem being studied. This section starts by discussing the concepts relevant to the problem as indicated in the topic, the relationship between the concepts and what discoveries have being made on topic based on the choice of methodologies. The validity of the studies reviewed are questioned and findings are compared in order to get a comprehensive picture of the problem. The literature review also discusses the theories and theoretical frameworks that are relevant to the problem, the gaps that are evident in literature and how the thesis being written helps in resolving some of the gaps.

The major importance of Literature review is that it specifies the gap in the existing knowledge (gap in literature). The source of the literature that is being reviewed should be specified. For instance; ‘It has been argued that if the rural youth are to be aware of their community development role they need to be educated’ Effiong, (1992). The author’s name can be at the beginning, end or in between the literature. The literature should be discussed and not just stated (RE: write a thesis or writing a thesis).

The methodology: The third section is a discussion of the research methodology adopted in the thesis and touches on aspects such as the research design, the area, population and sample that will be considered for the study as well as the sampling procedure. These aspects are discussed in terms of choice, method and rationale. This section also covers the sub- section of data collection, data analysis and measures of ensuring validity of study. It is the chapter 3. This chapter explains the method used in data collection and data analysis. It explains the methodology adopted and why it is the best method to be used, it also explains every step of data collection and analysis. The data used could be primary data or secondary data. While analysing the data, proper statistical tool should be used in order to fit the stated objectives of the thesis. The statistical tool could be; the spearman rank order correlation, chi square, analysis of variance (ANOVA) etc (RE: write a thesis or writing a thesis).

The findings and discussion of result : The next section is a discussion of findings based on the data collection instrumentation used and the objectives or hypotheses of study if any. It is the chapter 4. It is research results. This is the part that describes the research. It shows the result gotten from data that is collected and analysed. It discusses the result and how it relates to your profession.

Summary, Conclusion and Recommendation: This is normally the chapter 5. The last section discusses the summary of the study and the conclusions arrived at based on the findings discussed in the previous section. This section also presents any policy recommendations that the researcher wants to propose (RE: write a thesis or writing a thesis).

References: It cite all ideas, concepts, text, data that are not your own. It is acceptable to put the initials of the individual authors behind their last names. The way single author is referenced is different from the way more than one author is referenced (RE: write a thesis or writing a thesis).

The appendices; it includes all data in the appendix. Reference data or materials that is not easily available. It includes tables and calculations, List of equipment used for an experiment or details of complicated procedures. If a large number of references are consulted but all are not cited, it may also be included in the appendix. The appendices also contain supportive or complementary information like the questionnaire, the interview schedule, tables and charts while the references section contain an ordered list of all literature, academic and contemporary cited in the thesis. Different schools have their own preferred referencing styles(RE: write a thesis or writing a thesis).   

Follow the following steps to achieve successful thesis writing

Start writing early. Do not delay writing until you have finished your project or research. Write complete and concise “Technical Reports” as and when you finish each nugget of work. This way, you will remember everything you did and document it accurately, when the work is still fresh in your mind. This is especially so if your work involves programming.

Spot errors early. A well-written “Technical Report” will force you to think about what you have done, before you move on to something else. If anything is amiss, you will detect it at once and can easily correct it, rather than have to re-visit the work later, when you may be pressured for time and have lost touch with it.

Write your thesis from the inside out. Begin with the chapters on your own experimental work. You will develop confidence in writing them because you know your own work better than anyone else. Once you have overcome the initial inertia, move on to the other chapters.

End with a bang, not a whimper. First things first, and save the best for last. First and last impressions persist. Arrange your chapters so that your first and last experimental chapters are sound and solid.

Write the Introduction after writing the Conclusions. The examiner will read the Introduction first, and then the Conclusions, to see if the promises made in the former are indeed fulfilled in the latter. Ensure that your introduction and Conclusions match.

“No man is an Island”. The critical review of the literature places your work in context. Usually, one third of the PhD thesis is about others’ work; two thirds, what you have done yourself. After a thorough and critical literature review, the PhD candidate must be able to identify the major researchers in the field and make a sound proposal for doctoral research. Estimate the time to write your thesis and then multiply it by three to get the correct estimate. Writing at one stretch is very demanding and it is all too easy to underestimate the time required for it; inflating your first estimate by a factor of three is more realistic.

Punctuating your thesis

Punctuation Good punctuation makes reading easy. The simplest way to find out where to punctuate is to read aloud what you have written. Each time you pause, you should add a punctuation symbol. There are four major pause symbols, arranged below in ascending order of “degree of pause”:

  • Comma. Use the comma to indicate a short pause or to separate items in a list. A pair of commas may delimit the beginning and end of a subordinate clause or phrase. Sometimes, this is also done with a pair of “em dashes” which are printed like this:
  • Semi-colon. The semi-colon signifies a longer pause than the comma. It separates segments of a sentence that are “further apart” in position, or meaning, but which are nevertheless related. If the ideas were “closer together”, a comma would have been used. It is also used to separate two clauses that may stand on their own but which are too closely related for a colon or full stop to intervene between them.
  • Colon. The colon is used before one or more examples of a concept, and whenever items are to be listed in a visually separate fashion. The sentence that introduced the itemized list you are now reading ended in a colon. It may also be used to separate two fairly—but not totally—independent clauses in a sentence.
  • Full stop or period. The full stop ends a sentence. If the sentence embodies a question or an exclamation, then, of course, it is ended with a question mark or exclamation mark, respectively. The full stop is also used to terminate abbreviations like etc., (for et cetera), e.g., (for exempli gratia), et al., (for et alia) etc., but not with abbreviations for SI units. The readability of your writing will improve greatly if you take the trouble to learn the basic rules of punctuation given above.

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Research Design: Definition, Types, Characteristics & Study Examples

Research design

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A research design is the blueprint for any study. It's the plan that outlines how the research will be carried out. A study design usually includes the methods of data collection, the type of data to be gathered, and how it will be analyzed. Research designs help ensure the study is reliable, valid, and can answer the research question.

Behind every groundbreaking discovery and innovation lies a well-designed research. Whether you're investigating a new technology or exploring a social phenomenon, a solid research design is key to achieving reliable results. But what exactly does it means, and how do you create an effective one? Stay with our paper writers and find out:

  • Detailed definition
  • Types of research study designs
  • How to write a research design
  • Useful examples.

Whether you're a seasoned researcher or just getting started, understanding the core principles will help you conduct better studies and make more meaningful contributions.

What Is a Research Design: Definition

Research design is an overall study plan outlining a specific approach to investigating a research question . It covers particular methods and strategies for collecting, measuring and analyzing data. Students  are required to build a study design either as an individual task or as a separate chapter in a research paper , thesis or dissertation .

Before designing a research project, you need to consider a series aspects of your future study:

  • Research aims What research objectives do you want to accomplish with your study? What approach will you take to get there? Will you use a quantitative, qualitative, or mixed methods approach?
  • Type of data Will you gather new data (primary research), or rely on existing data (secondary research) to answer your research question?
  • Sampling methods How will you pick participants? What criteria will you use to ensure your sample is representative of the population?
  • Data collection methods What tools or instruments will you use to gather data (e.g., conducting a survey , interview, or observation)?
  • Measurement  What metrics will you use to capture and quantify data?
  • Data analysis  What statistical or qualitative techniques will you use to make sense of your findings?

By using a well-designed research plan, you can make sure your findings are solid and can be generalized to a larger group.

Research design example

You are going to investigate the effectiveness of a mindfulness-based intervention for reducing stress and anxiety among college students. You decide to organize an experiment to explore the impact. Participants should be randomly assigned to either an intervention group or a control group. You need to conduct pre- and post-intervention using self-report measures of stress and anxiety.

What Makes a Good Study Design? 

To design a research study that works, you need to carefully think things through. Make sure your strategy is tailored to your research topic and watch out for potential biases. Your procedures should be flexible enough to accommodate changes that may arise during the course of research. 

A good research design should be:

  • Clear and methodologically sound
  • Feasible and realistic
  • Knowledge-driven.

By following these guidelines, you'll set yourself up for success and be able to produce reliable results.

Research Study Design Structure

A structured research design provides a clear and organized plan for carrying out a study. It helps researchers to stay on track and ensure that the study stays within the bounds of acceptable time, resources, and funding.

A typical design includes 5 main components:

  • Research question(s): Central research topic(s) or issue(s).
  • Sampling strategy: Method for selecting participants or subjects.
  • Data collection techniques: Tools or instruments for retrieving data.
  • Data analysis approaches: Techniques for interpreting and scrutinizing assembled data.
  • Ethical considerations: Principles for protecting human subjects (e.g., obtaining a written consent, ensuring confidentiality guarantees).

Research Design Essential Characteristics

Creating a research design warrants a firm foundation for your exploration. The cost of making a mistake is too high. This is not something scholars can afford, especially if financial resources or a considerable amount of time is invested. Choose the wrong strategy, and you risk undermining your whole study and wasting resources. 

To avoid any unpleasant surprises, make sure your study conforms to the key characteristics. Here are some core features of research designs:

  • Reliability   Reliability is stability of your measures or instruments over time. A reliable research design is one that can be reproduced in the same way and deliver consistent outcomes. It should also nurture accurate representations of actual conditions and guarantee data quality.
  • Validity For a study to be valid , it must measure what it claims to measure. This means that methodological approaches should be carefully considered and aligned to the main research question(s).
  • Generalizability Generalizability means that your insights can be practiced outside of the scope of a study. When making inferences, researchers must take into account determinants such as sample size, sampling technique, and context.
  • Neutrality A study model should be free from personal or cognitive biases to ensure an impartial investigation of a research topic. Steer clear of highlighting any particular group or achievement.

Key Concepts in Research Design

Now let’s discuss the fundamental principles that underpin study designs in research. This will help you develop a strong framework and make sure all the puzzles fit together.

Primary concepts

An is hypothesized to have an impact on a . Researchers record the alterations in the dependent variable caused by manipulations in the independent variable.

An is an uncontrolled factor that may affect a dependent variable in a study.

Researchers hold all variables constant except for an independent variable to attribute changes to it, rather than other factors.

A is an educated guess about a causal relationship between 2 or more variables.

Types of Approaches to Research Design

Study frameworks can fall into 2 major categories depending on the approach to compiling data you opt for. The 2 main types of study designs in research are qualitative and quantitative research. Both approaches have their unique strengths and weaknesses, and can be utilized based on the nature of information you are dealing with. 

Quantitative Research  

Quantitative study is focused on establishing empirical relationships between variables and collecting numerical data. It involves using statistics, surveys, and experiments to measure the effects of certain phenomena. This research design type looks at hard evidence and provides measurements that can be analyzed using statistical techniques. 

Qualitative Research 

Qualitative approach is used to examine the behavior, attitudes, and perceptions of individuals in a given environment. This type of study design relies on unstructured data retrieved through interviews, open-ended questions and observational methods. 

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Types of Research Designs & Examples

Choosing a research design may be tough especially for the first-timers. One of the great ways to get started is to pick the right design that will best fit your objectives. There are 4 different types of research designs you can opt for to carry out your investigation:

  • Experimental
  • Correlational
  • Descriptive
  • Diagnostic/explanatory.

Below we will go through each type and offer you examples of study designs to assist you with selection.

1. Experimental

In experimental research design , scientists manipulate one or more independent variables and control other factors in order to observe their effect on a dependent variable. This type of research design is used for experiments where the goal is to determine a causal relationship. 

Its core characteristics include:

  • Randomization
  • Manipulation
  • Replication.
A pharmaceutical company wants to test a new drug to investigate its effectiveness in treating a specific medical condition. Researchers would randomly assign participants to either a control group (receiving a placebo) or an experimental group (receiving the new drug). They would rigorously control all variables (e.g, age, medical history) and manipulate them to get reliable results.

2. Correlational

Correlational study is used to examine the existing relationships between variables. In this type of design, you don’t need to manipulate other variables. Here, researchers just focus on observing and measuring the naturally occurring relationship.

Correlational studies encompass such features: 

  • Data collection from natural settings
  • No intervention by the researcher
  • Observation over time.
A research team wants to examine the relationship between academic performance and extracurricular activities. They would observe students' performance in courses and measure how much time they spend engaging in extracurricular activities.

3. Descriptive 

Descriptive research design is all about describing a particular population or phenomenon without any interruption. This study design is especially helpful when we're not sure about something and want to understand it better.

Descriptive studies are characterized by such features:

  • Random and convenience sampling
  • Observation
  • No intervention.
A psychologist wants to understand how parents' behavior affects their child's self-concept. They would observe the interaction between children and their parents in a natural setting. Gathered information will help her get an overview of this situation and recognize some patterns.

4. Diagnostic

Diagnostic or explanatory research is used to determine the cause of an existing problem or a chronic symptom. Unlike other types of design, here scientists try to understand why something is happening. 

Among essential hallmarks of explanatory studies are: 

  • Testing hypotheses and theories
  • Examining existing data
  • Comparative analysis.
A public health specialist wants to identify the cause of an outbreak of water-borne disease in a certain area. They would inspect water samples and records to compare them with similar outbreaks in other areas. This will help to uncover reasons behind this accident.

How to Design a Research Study: Step-by-Step Process

When designing your research don't just jump into it. It's important to take the time and do things right in order to attain accurate findings. Follow these simple steps on how to design a study to get the most out of your project.

1. Determine Your Aims 

The first step in the research design process is figuring out what you want to achieve. This involves identifying your research question, goals and specific objectives you want to accomplish. Think whether you want to explore a specific issue or develop a new theory? Setting your aims from the get-go will help you stay focused and ensure that your study is driven by purpose. 

Once  you are clear with your goals, you need to decide on the main approach. Will you use qualitative or quantitative methods? Or perhaps a mixture of both?

2. Select a Type of Research Design

Choosing a suitable design requires considering multiple factors, such as your research question, data collection methods, and resources. There are various research design types, each with its own advantages and limitations. Think about the kind of data that would be most useful to address your questions. Ultimately, a well-devised strategy should help you gather accurate data to achieve your objectives.

3. Define Your Population and Sampling Methods

To design a research project, it is essential to establish your target population and parameters for selecting participants. First, identify a cohort of individuals who share common characteristics and possess relevant experiences. 

For instance, if you are researching the impact of social media on mental health, your population could be young adults aged 18-25 who use social media frequently.

With your population in mind, you can now choose an optimal sampling method. Sampling is basically the process of narrowing down your target group to only those individuals who will participate in your study. At this point, you need to decide on whether you want to randomly choose the participants (probability sampling) or set out any selection criteria (non-probability sampling). 

To examine the influence of social media on mental well-being, we will divide a whole population into smaller subgroups using stratified random sampling . Then, we will randomly pick participants from each subcategory to make sure that findings are also true for a broader group of young adults.

4. Decide on Your Data Collection Methods

When devising your study, it is also important to consider how you will retrieve data.  Depending on the type of design you are using, you may deploy diverse methods. Below you can see various data collection techniques suited for different research designs. 

Data collection methods in various studies

Experiments, controlled trials

Surveys, observations

Direct observation, video recordings, field notes

 

Medical or psychological tests, screening, clinical interviews

Additionally, if you plan on integrating existing data sources like medical records or publicly available datasets, you want to mention this as well. 

5. Arrange Your Data Collection Process

Your data collection process should also be meticulously thought out. This stage involves scheduling interviews, arranging questionnaires and preparing all the necessary tools for collecting information from participants. Detail how long your study will take and what procedures will be followed for recording and analyzing the data. 

State which variables will be studied and what measures or scales will be used when assessing each variable.

Measures and scales 

Measures and scales are tools used to quantify variables in research. A measure is any method used to collect data on a variable, while a scale is a set of items or questions used to measure a particular construct or concept. Different types of scales include nominal, ordinal, interval, or ratio , each of which has distinct properties

Operationalization 

When working with abstract information that needs to be quantified, researchers often operationalize the variable by defining it in concrete terms that can be measured or observed. This allows the abstract concept to be studied systematically and rigorously. 

Operationalization in study design example

If studying the concept of happiness, researchers might operationalize it by using a scale that measures positive affect or life satisfaction. This allows us to quantify happiness and inspect its relationship with other variables, such as income or social support.

Remember that research design should be flexible enough to adjust for any unforeseen developments. Even with rigorous preparation, you may still face unexpected challenges during your project. That’s why you need to work out contingency plans when designing research.

6. Choose Data Analysis Techniques

It’s impossible to design research without mentioning how you are going to scrutinize data. To select a proper method, take into account the type of data you are dealing with and how many variables you need to analyze. 

Qualitative data may require thematic analysis or content analysis.

Quantitative data, on the other hand, could be processed with more sophisticated statistical analysis approaches such as regression analysis, factor analysis or descriptive statistics.

Finally, don’t forget about ethical considerations. Opt for those methods that minimize harm to participants and protect their rights.

Research Design Checklist

Having a checklist in front of you will help you design your research flawlessly.

  • checkbox I clearly defined my research question and its significance.
  • checkbox I considered crucial factors such as the nature of my study, type of required data and available resources to choose a suitable design.
  • checkbox A sample size is sufficient to provide statistically significant results.
  • checkbox My data collection methods are reliable and valid.
  • checkbox Analysis methods are appropriate for the type of data I will be gathering.
  • checkbox My research design protects the rights and privacy of my participants.
  • checkbox I created a realistic timeline for research, including deadlines for data collection, analysis, and write-up.
  • checkbox I considered funding sources and potential limitations.

Bottom Line on Research Design & Study Types

Designing a research project involves making countless decisions that can affect the quality of your work. By planning out each step and selecting the best methods for data collection and analysis, you can ensure that your project is conducted professionally.

We hope this article has helped you to better understand the research design process. If you have any questions or comments, ping us in the comments section below.

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FAQ About Research Study Designs

1. what is a study design.

Study design, or else called research design, is the overall plan for a project, including its purpose, methodology, data collection and analysis techniques. A good design ensures that your project is conducted in an organized and ethical manner. It also provides clear guidelines for replicating or extending a study in the future.

2. What is the purpose of a research design?

The purpose of a research design is to provide a structure and framework for your project. By outlining your methodology, data collection techniques, and analysis methods in advance, you can ensure that your project will be conducted effectively.

3. What is the importance of research designs?

Research designs are critical to the success of any research project for several reasons. Specifically, study designs grant:

  • Clear direction for all stages of a study
  • Validity and reliability of findings
  • Roadmap for replication or further extension
  • Accurate results by controlling for potential bias
  • Comparison between studies by providing consistent guidelines.

By following an established plan, researchers can be sure that their projects are organized, ethical, and reliable.

4. What are the 4 types of study designs?

There are generally 4 types of study designs commonly used in research:

  • Experimental studies: investigate cause-and-effect relationships by manipulating the independent variable.
  • Correlational studies: examine relationships between 2 or more variables without intruding them.
  • Descriptive studies: describe the characteristics of a population or phenomenon without making any inferences about cause and effect.
  • Explanatory studies: intended to explain causal relationships.

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Descriptive Research

For more advanced studies, you can even combine several types. Mixed-methods research may come in handy when exploring complex phenomena that cannot be adequately captured by one method alone.

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Creating an Effective Thesis Outline: A Step-by-Step Guide

Colorful desk with laptop and planning materials

Creating a thesis outline might seem like a big job, but it makes the whole writing process a lot easier. This guide will show you each step to make a good thesis outline. From understanding why you need an outline to avoiding common mistakes, this article will help you stay organized and focused. By following these steps, you can make a strong outline that will guide your research and writing.

Key Takeaways

  • A thesis outline helps you organize your thoughts and makes the writing process smoother.
  • Start with initial research to find key themes and questions for your thesis.
  • Structure your outline logically to ensure a clear flow of ideas.
  • Revise your outline regularly to make sure it stays relevant and focused.
  • Avoid common pitfalls like overloading with information or ignoring feedback.

Understanding the Purpose of a Thesis Outline

Creating a thesis outline is a crucial step in the academic writing process. It serves as a roadmap for your research , helping you organize your thoughts and structure your work logically . This section will delve into the purpose of a thesis outline, its importance in academic writing , and how it guides the research process.

Preliminary Steps Before Creating a Thesis Outline

Student planning thesis with papers and laptop

Before diving into the creation of your thesis outline, it's essential to take some preliminary steps. These steps will lay a solid foundation for your research and ensure that your outline is both comprehensive and effective.

Structuring Your Thesis Outline

Creating a well-organized thesis outline is crucial for a successful thesis. It helps you structure your thoughts and ensures a logical flow of information. Here are the key steps to structuring your thesis outline effectively :

Choosing the Right Format

Selecting the appropriate format for your thesis outline is the first step. Common formats include alphanumeric, decimal, and full-sentence outlines. Choose a format that best suits your research and writing style. This decision will guide the organization of your major sections and sub-sections.

Organizing Major Sections

Divide your thesis into major sections such as the introduction, literature review, methodology, results, discussion, and conclusion. Each section should have a clear purpose and contribute to your overall thesis argument. Use headings and subheadings to break down each section into manageable parts.

Ensuring Logical Flow

A logical flow is essential for maintaining the reader's interest and understanding. Arrange your sections and sub-sections in a way that naturally progresses from one idea to the next. This will help you build a coherent argument and make your thesis more persuasive.

By following these steps, you can create a structured and effective thesis outline that will serve as a roadmap for your research and writing process.

Developing the Introduction Section

Crafting a compelling opening.

Your introduction should grab the reader's attention right from the start. Use a hook, such as a surprising fact or a thought-provoking question, to draw them in. This section sets the stage for your entire thesis, so make it engaging and relevant.

Presenting the Research Question

Clearly state the research question your thesis aims to answer. This question will guide your entire study and keep you focused. Make sure it is specific and researchable.

Outlining the Scope and Objectives

Provide an overview of the scope of your research. Explain what you will cover and what you will not. This helps set clear boundaries for your study. Additionally, outline the main objectives you aim to achieve with your research. Setting clear objectives will help you stay on track and ensure your research is focused and relevant.

Outlining the Literature Review

Colorful thesis outline with literature review highlighted.

Summarizing Existing Research

When outlining your literature review , start by summarizing the existing research related to your topic. This involves gathering and synthesizing information from various sources, such as books, journal articles, and online databases. A well-summarized literature review provides a comprehensive overview of what has been done in your field and highlights the key findings and methodologies used by other researchers.

Identifying Research Gaps

After summarizing the existing research, the next step is to identify the gaps in the literature. These gaps represent areas where further research is needed and can help you position your study within the broader academic context. Look for questions that have not been answered or areas that have not been explored in depth. Identifying these gaps will not only justify the need for your research but also guide your research questions and objectives.

Establishing Theoretical Frameworks

Finally, establish the theoretical frameworks that will underpin your study. This involves selecting and discussing the theories and models that are relevant to your research topic. The theoretical framework provides a foundation for your study and helps to explain the relationships between different variables. By clearly outlining the theoretical frameworks, you can ensure that your research is grounded in established knowledge and contributes to the ongoing academic discourse.

Detailing the Methodology

Selecting research methods.

Choosing the right research methods is crucial for the success of your thesis. Start by deciding whether your study will be qualitative, quantitative, or a mix of both. Qualitative methods often include interviews and observations, while quantitative methods might involve surveys and experiments. Your choice should align with your research objectives and the type of data you need to collect.

Justifying Methodological Choices

Once you have selected your methods, it's important to justify why these methods are appropriate for your study. Explain how they will help you answer your research questions and achieve your objectives. This step is vital for gaining approval from stakeholders and ensuring the success of your project.

Describing Data Collection and Analysis

Detail the process of data collection and analysis . Describe the tools and techniques you will use, such as surveys, interviews, or software for data analysis. Make sure to explain how you will ensure the reliability and validity of your data. This section should provide a clear roadmap of how you will gather and interpret your data, ensuring that your research is both credible and replicable.

Presenting Research Findings

Organizing data logically.

When presenting your research findings, it's crucial to organize your data in a logical manner. This can be done by structuring your findings around key questions, hypotheses, or the overall structure of your study. Clear organization helps your audience understand your results without confusion. Consider using tables to present quantitative data succinctly.

Highlighting Key Results

Focus on the most significant results of your research. Highlight these key findings to ensure they stand out to your readers. This not only emphasizes the importance of your work but also makes it easier for others to grasp the core contributions of your study. Remember, clarity is essential in effective communication.

Using Visual Aids Effectively

Visual aids such as charts, graphs, and tables can greatly enhance the presentation of your research findings. They provide a visual representation of your data, making complex information more accessible. Ensure that your visual aids are well-labeled and directly related to the findings you are discussing. This will help in stripping the dread from data interpretation for your audience.

Analyzing and Discussing Results

Interpreting findings.

When you interpret your findings, you need to connect your analysis to your research questions and hypotheses. This involves making sense of statistical significance and drawing meaningful conclusions. Interpreting your findings helps you understand the broader implications of your research and how it contributes to the existing body of knowledge.

Comparing with Existing Literature

To provide context for your results, compare them with similar studies mentioned in your literature review. Highlight whether your findings align with or differ from previous research. This comparison can help validate your results and show how your work fits into the larger academic conversation.

Discussing Implications

Discuss the broader implications of your findings. Consider how they impact your field of study and what they mean for future research. This section should also address any limitations of your study and suggest areas for further investigation. By doing so, you demonstrate the significance of your research and its potential to influence future work.

Concluding Your Thesis

Summarizing key points.

In the conclusion, you should summarize the key points of your research. This involves revisiting the main arguments and findings discussed in your thesis. By doing so, you provide a clear and concise overview of your work, ensuring that the reader understands the significance of your research.

Restating the Thesis Statement

Restate your thesis statement in a fresh way , reflecting on how your research has supported or challenged it. This is crucial for reinforcing the main idea of your thesis and demonstrating how your work contributes to the broader field of study. Remember, a well-restated thesis can leave a lasting impression on your readers.

Suggesting Areas for Future Research

Finally, suggest areas for future research. Identify any gaps or limitations in your study and propose how future research can address these issues. This not only highlights the importance of your work but also encourages further exploration and development in your field.

Revising and Refining the Outline

Seeking feedback.

Before finalizing your thesis outline, it's crucial to seek feedback from your advisor or peers. They can provide valuable insights and identify areas that may need improvement. Don't hesitate to ask for their opinions on the structure and content of your outline. This step ensures that your outline is clear and logical.

Making Necessary Adjustments

After receiving feedback, take the time to make necessary adjustments. This may involve reorganizing sections, adding or removing content, or clarifying certain points. A reverse outline can be particularly helpful in this stage. It involves outlining an existing draft to assess its structure and coherence. This technique allows you to see if your ideas flow logically and if any sections need further development.

Ensuring Cohesion and Coherence

Finally, ensure that your outline is cohesive and coherent. Each section should connect logically to the next, and your main points should be clearly articulated. Use a checklist to verify that your outline meets these criteria. This step is essential for creating a well-structured thesis that effectively communicates your research findings.

Common Pitfalls to Avoid

Overloading with information.

One common mistake is trying to include too much information. This can make your thesis overwhelming and difficult to follow. Focus on the most relevant data and arguments to support your thesis statement. Remember, quality over quantity is key.

Lack of Clear Focus

A thesis that lacks a clear focus can confuse readers and weaken your argument. Make sure your thesis statement is specific and that each section of your outline directly supports it. Staying focused will help you create a more compelling and coherent thesis.

Ignoring Feedback

Feedback from advisors and peers is invaluable. Ignoring it can lead to missed opportunities for improvement. Take the time to consider and incorporate constructive criticism . This will not only enhance the quality of your thesis but also help you grow as a researcher.

Writing a thesis can be tricky, and many students fall into common traps. Don't let stress and confusion hold you back. Our step-by-step Thesis Action Plan is here to guide you through every stage. Ready to make your thesis journey smoother? Visit our website to learn more and get started today!

Creating an effective thesis outline is a vital step in the thesis writing process. It helps you organize your thoughts, stay focused, and ensure that your research is thorough and well-structured. By breaking down your thesis into manageable sections, you can tackle each part with confidence and clarity. Remember, a well-crafted outline not only makes the writing process smoother but also enhances the overall quality of your thesis. Stay dedicated, seek guidance when needed, and take pride in your progress. With a solid outline, you are well on your way to producing a compelling and academically rigorous thesis.

Frequently Asked Questions

Why do i need a thesis outline.

A thesis outline helps you organize your ideas and ensures your writing is structured and focused. It breaks your project into smaller, manageable parts, making the writing process faster and less stressful.

What should I do before creating a thesis outline?

Before creating a thesis outline, conduct initial research, identify key themes and questions, and set clear objectives for your study.

How should I structure my thesis outline?

Your thesis outline should include the major sections: introduction, literature review, methodology, research findings, discussion, and conclusion. Ensure each section flows logically into the next.

What is the best way to start the introduction section?

Start your introduction with a compelling opening, present your research question, and outline the scope and objectives of your thesis.

How do I organize the literature review?

Organize your literature review by summarizing existing research, identifying research gaps, and establishing theoretical frameworks relevant to your study.

What should I include in the methodology section?

In the methodology section, describe your research methods, justify your methodological choices, and explain how you collected and analyzed your data.

How can I present my research findings effectively?

Present your research findings by organizing data logically, highlighting key results, and using visual aids like charts and graphs to make the information clear and engaging.

What should I do if I get stuck while writing my thesis?

If you get stuck, take a break, seek feedback from peers or advisors, and revisit your outline to ensure your thesis remains focused and coherent.

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  • How to write a research paper

Last updated

11 January 2024

Reviewed by

With proper planning, knowledge, and framework, completing a research paper can be a fulfilling and exciting experience. 

Though it might initially sound slightly intimidating, this guide will help you embrace the challenge. 

By documenting your findings, you can inspire others and make a difference in your field. Here's how you can make your research paper unique and comprehensive.

  • What is a research paper?

Research papers allow you to demonstrate your knowledge and understanding of a particular topic. These papers are usually lengthier and more detailed than typical essays, requiring deeper insight into the chosen topic.

To write a research paper, you must first choose a topic that interests you and is relevant to the field of study. Once you’ve selected your topic, gathering as many relevant resources as possible, including books, scholarly articles, credible websites, and other academic materials, is essential. You must then read and analyze these sources, summarizing their key points and identifying gaps in the current research.

You can formulate your ideas and opinions once you thoroughly understand the existing research. To get there might involve conducting original research, gathering data, or analyzing existing data sets. It could also involve presenting an original argument or interpretation of the existing research.

Writing a successful research paper involves presenting your findings clearly and engagingly, which might involve using charts, graphs, or other visual aids to present your data and using concise language to explain your findings. You must also ensure your paper adheres to relevant academic formatting guidelines, including proper citations and references.

Overall, writing a research paper requires a significant amount of time, effort, and attention to detail. However, it is also an enriching experience that allows you to delve deeply into a subject that interests you and contribute to the existing body of knowledge in your chosen field.

  • How long should a research paper be?

Research papers are deep dives into a topic. Therefore, they tend to be longer pieces of work than essays or opinion pieces. 

However, a suitable length depends on the complexity of the topic and your level of expertise. For instance, are you a first-year college student or an experienced professional? 

Also, remember that the best research papers provide valuable information for the benefit of others. Therefore, the quality of information matters most, not necessarily the length. Being concise is valuable.

Following these best practice steps will help keep your process simple and productive:

1. Gaining a deep understanding of any expectations

Before diving into your intended topic or beginning the research phase, take some time to orient yourself. Suppose there’s a specific topic assigned to you. In that case, it’s essential to deeply understand the question and organize your planning and approach in response. Pay attention to the key requirements and ensure you align your writing accordingly. 

This preparation step entails

Deeply understanding the task or assignment

Being clear about the expected format and length

Familiarizing yourself with the citation and referencing requirements 

Understanding any defined limits for your research contribution

Where applicable, speaking to your professor or research supervisor for further clarification

2. Choose your research topic

Select a research topic that aligns with both your interests and available resources. Ideally, focus on a field where you possess significant experience and analytical skills. In crafting your research paper, it's crucial to go beyond summarizing existing data and contribute fresh insights to the chosen area.

Consider narrowing your focus to a specific aspect of the topic. For example, if exploring the link between technology and mental health, delve into how social media use during the pandemic impacts the well-being of college students. Conducting interviews and surveys with students could provide firsthand data and unique perspectives, adding substantial value to the existing knowledge.

When finalizing your topic, adhere to legal and ethical norms in the relevant area (this ensures the integrity of your research, protects participants' rights, upholds intellectual property standards, and ensures transparency and accountability). Following these principles not only maintains the credibility of your work but also builds trust within your academic or professional community.

For instance, in writing about medical research, consider legal and ethical norms , including patient confidentiality laws and informed consent requirements. Similarly, if analyzing user data on social media platforms, be mindful of data privacy regulations, ensuring compliance with laws governing personal information collection and use. Aligning with legal and ethical standards not only avoids potential issues but also underscores the responsible conduct of your research.

3. Gather preliminary research

Once you’ve landed on your topic, it’s time to explore it further. You’ll want to discover more about available resources and existing research relevant to your assignment at this stage. 

This exploratory phase is vital as you may discover issues with your original idea or realize you have insufficient resources to explore the topic effectively. This key bit of groundwork allows you to redirect your research topic in a different, more feasible, or more relevant direction if necessary. 

Spending ample time at this stage ensures you gather everything you need, learn as much as you can about the topic, and discover gaps where the topic has yet to be sufficiently covered, offering an opportunity to research it further. 

4. Define your research question

To produce a well-structured and focused paper, it is imperative to formulate a clear and precise research question that will guide your work. Your research question must be informed by the existing literature and tailored to the scope and objectives of your project. By refining your focus, you can produce a thoughtful and engaging paper that effectively communicates your ideas to your readers.

5. Write a thesis statement

A thesis statement is a one-to-two-sentence summary of your research paper's main argument or direction. It serves as an overall guide to summarize the overall intent of the research paper for you and anyone wanting to know more about the research.

A strong thesis statement is:

Concise and clear: Explain your case in simple sentences (avoid covering multiple ideas). It might help to think of this section as an elevator pitch.

Specific: Ensure that there is no ambiguity in your statement and that your summary covers the points argued in the paper.

Debatable: A thesis statement puts forward a specific argument––it is not merely a statement but a debatable point that can be analyzed and discussed.

Here are three thesis statement examples from different disciplines:

Psychology thesis example: "We're studying adults aged 25-40 to see if taking short breaks for mindfulness can help with stress. Our goal is to find practical ways to manage anxiety better."

Environmental science thesis example: "This research paper looks into how having more city parks might make the air cleaner and keep people healthier. I want to find out if more green spaces means breathing fewer carcinogens in big cities."

UX research thesis example: "This study focuses on improving mobile banking for older adults using ethnographic research, eye-tracking analysis, and interactive prototyping. We investigate the usefulness of eye-tracking analysis with older individuals, aiming to spark debate and offer fresh perspectives on UX design and digital inclusivity for the aging population."

6. Conduct in-depth research

A research paper doesn’t just include research that you’ve uncovered from other papers and studies but your fresh insights, too. You will seek to become an expert on your topic––understanding the nuances in the current leading theories. You will analyze existing research and add your thinking and discoveries.  It's crucial to conduct well-designed research that is rigorous, robust, and based on reliable sources. Suppose a research paper lacks evidence or is biased. In that case, it won't benefit the academic community or the general public. Therefore, examining the topic thoroughly and furthering its understanding through high-quality research is essential. That usually means conducting new research. Depending on the area under investigation, you may conduct surveys, interviews, diary studies , or observational research to uncover new insights or bolster current claims.

7. Determine supporting evidence

Not every piece of research you’ve discovered will be relevant to your research paper. It’s important to categorize the most meaningful evidence to include alongside your discoveries. It's important to include evidence that doesn't support your claims to avoid exclusion bias and ensure a fair research paper.

8. Write a research paper outline

Before diving in and writing the whole paper, start with an outline. It will help you to see if more research is needed, and it will provide a framework by which to write a more compelling paper. Your supervisor may even request an outline to approve before beginning to write the first draft of the full paper. An outline will include your topic, thesis statement, key headings, short summaries of the research, and your arguments.

9. Write your first draft

Once you feel confident about your outline and sources, it’s time to write your first draft. While penning a long piece of content can be intimidating, if you’ve laid the groundwork, you will have a structure to help you move steadily through each section. To keep up motivation and inspiration, it’s often best to keep the pace quick. Stopping for long periods can interrupt your flow and make jumping back in harder than writing when things are fresh in your mind.

10. Cite your sources correctly

It's always a good practice to give credit where it's due, and the same goes for citing any works that have influenced your paper. Building your arguments on credible references adds value and authenticity to your research. In the formatting guidelines section, you’ll find an overview of different citation styles (MLA, CMOS, or APA), which will help you meet any publishing or academic requirements and strengthen your paper's credibility. It is essential to follow the guidelines provided by your school or the publication you are submitting to ensure the accuracy and relevance of your citations.

11. Ensure your work is original

It is crucial to ensure the originality of your paper, as plagiarism can lead to serious consequences. To avoid plagiarism, you should use proper paraphrasing and quoting techniques. Paraphrasing is rewriting a text in your own words while maintaining the original meaning. Quoting involves directly citing the source. Giving credit to the original author or source is essential whenever you borrow their ideas or words. You can also use plagiarism detection tools such as Scribbr or Grammarly to check the originality of your paper. These tools compare your draft writing to a vast database of online sources. If you find any accidental plagiarism, you should correct it immediately by rephrasing or citing the source.

12. Revise, edit, and proofread

One of the essential qualities of excellent writers is their ability to understand the importance of editing and proofreading. Even though it's tempting to call it a day once you've finished your writing, editing your work can significantly improve its quality. It's natural to overlook the weaker areas when you've just finished writing a paper. Therefore, it's best to take a break of a day or two, or even up to a week, to refresh your mind. This way, you can return to your work with a new perspective. After some breathing room, you can spot any inconsistencies, spelling and grammar errors, typos, or missing citations and correct them. 

  • The best research paper format 

The format of your research paper should align with the requirements set forth by your college, school, or target publication. 

There is no one “best” format, per se. Depending on the stated requirements, you may need to include the following elements:

Title page: The title page of a research paper typically includes the title, author's name, and institutional affiliation and may include additional information such as a course name or instructor's name. 

Table of contents: Include a table of contents to make it easy for readers to find specific sections of your paper.

Abstract: The abstract is a summary of the purpose of the paper.

Methods : In this section, describe the research methods used. This may include collecting data , conducting interviews, or doing field research .

Results: Summarize the conclusions you drew from your research in this section.

Discussion: In this section, discuss the implications of your research . Be sure to mention any significant limitations to your approach and suggest areas for further research.

Tables, charts, and illustrations: Use tables, charts, and illustrations to help convey your research findings and make them easier to understand.

Works cited or reference page: Include a works cited or reference page to give credit to the sources that you used to conduct your research.

Bibliography: Provide a list of all the sources you consulted while conducting your research.

Dedication and acknowledgments : Optionally, you may include a dedication and acknowledgments section to thank individuals who helped you with your research.

  • General style and formatting guidelines

Formatting your research paper means you can submit it to your college, journal, or other publications in compliance with their criteria.

Research papers tend to follow the American Psychological Association (APA), Modern Language Association (MLA), or Chicago Manual of Style (CMOS) guidelines.

Here’s how each style guide is typically used:

Chicago Manual of Style (CMOS):

CMOS is a versatile style guide used for various types of writing. It's known for its flexibility and use in the humanities. CMOS provides guidelines for citations, formatting, and overall writing style. It allows for both footnotes and in-text citations, giving writers options based on their preferences or publication requirements.

American Psychological Association (APA):

APA is common in the social sciences. It’s hailed for its clarity and emphasis on precision. It has specific rules for citing sources, creating references, and formatting papers. APA style uses in-text citations with an accompanying reference list. It's designed to convey information efficiently and is widely used in academic and scientific writing.

Modern Language Association (MLA):

MLA is widely used in the humanities, especially literature and language studies. It emphasizes the author-page format for in-text citations and provides guidelines for creating a "Works Cited" page. MLA is known for its focus on the author's name and the literary works cited. It’s frequently used in disciplines that prioritize literary analysis and critical thinking.

To confirm you're using the latest style guide, check the official website or publisher's site for updates, consult academic resources, and verify the guide's publication date. Online platforms and educational resources may also provide summaries and alerts about any revisions or additions to the style guide.

Citing sources

When working on your research paper, it's important to cite the sources you used properly. Your citation style will guide you through this process. Generally, there are three parts to citing sources in your research paper: 

First, provide a brief citation in the body of your essay. This is also known as a parenthetical or in-text citation. 

Second, include a full citation in the Reference list at the end of your paper. Different types of citations include in-text citations, footnotes, and reference lists. 

In-text citations include the author's surname and the date of the citation. 

Footnotes appear at the bottom of each page of your research paper. They may also be summarized within a reference list at the end of the paper. 

A reference list includes all of the research used within the paper at the end of the document. It should include the author, date, paper title, and publisher listed in the order that aligns with your citation style.

10 research paper writing tips:

Following some best practices is essential to writing a research paper that contributes to your field of study and creates a positive impact.

These tactics will help you structure your argument effectively and ensure your work benefits others:

Clear and precise language:  Ensure your language is unambiguous. Use academic language appropriately, but keep it simple. Also, provide clear takeaways for your audience.

Effective idea separation:  Organize the vast amount of information and sources in your paper with paragraphs and titles. Create easily digestible sections for your readers to navigate through.

Compelling intro:  Craft an engaging introduction that captures your reader's interest. Hook your audience and motivate them to continue reading.

Thorough revision and editing:  Take the time to review and edit your paper comprehensively. Use tools like Grammarly to detect and correct small, overlooked errors.

Thesis precision:  Develop a clear and concise thesis statement that guides your paper. Ensure that your thesis aligns with your research's overall purpose and contribution.

Logical flow of ideas:  Maintain a logical progression throughout the paper. Use transitions effectively to connect different sections and maintain coherence.

Critical evaluation of sources:  Evaluate and critically assess the relevance and reliability of your sources. Ensure that your research is based on credible and up-to-date information.

Thematic consistency:  Maintain a consistent theme throughout the paper. Ensure that all sections contribute cohesively to the overall argument.

Relevant supporting evidence:  Provide concise and relevant evidence to support your arguments. Avoid unnecessary details that may distract from the main points.

Embrace counterarguments:  Acknowledge and address opposing views to strengthen your position. Show that you have considered alternative arguments in your field.

7 research tips 

If you want your paper to not only be well-written but also contribute to the progress of human knowledge, consider these tips to take your paper to the next level:

Selecting the appropriate topic: The topic you select should align with your area of expertise, comply with the requirements of your project, and have sufficient resources for a comprehensive investigation.

Use academic databases: Academic databases such as PubMed, Google Scholar, and JSTOR offer a wealth of research papers that can help you discover everything you need to know about your chosen topic.

Critically evaluate sources: It is important not to accept research findings at face value. Instead, it is crucial to critically analyze the information to avoid jumping to conclusions or overlooking important details. A well-written research paper requires a critical analysis with thorough reasoning to support claims.

Diversify your sources: Expand your research horizons by exploring a variety of sources beyond the standard databases. Utilize books, conference proceedings, and interviews to gather diverse perspectives and enrich your understanding of the topic.

Take detailed notes: Detailed note-taking is crucial during research and can help you form the outline and body of your paper.

Stay up on trends: Keep abreast of the latest developments in your field by regularly checking for recent publications. Subscribe to newsletters, follow relevant journals, and attend conferences to stay informed about emerging trends and advancements. 

Engage in peer review: Seek feedback from peers or mentors to ensure the rigor and validity of your research . Peer review helps identify potential weaknesses in your methodology and strengthens the overall credibility of your findings.

  • The real-world impact of research papers

Writing a research paper is more than an academic or business exercise. The experience provides an opportunity to explore a subject in-depth, broaden one's understanding, and arrive at meaningful conclusions. With careful planning, dedication, and hard work, writing a research paper can be a fulfilling and enriching experience contributing to advancing knowledge.

How do I publish my research paper? 

Many academics wish to publish their research papers. While challenging, your paper might get traction if it covers new and well-written information. To publish your research paper, find a target publication, thoroughly read their guidelines, format your paper accordingly, and send it to them per their instructions. You may need to include a cover letter, too. After submission, your paper may be peer-reviewed by experts to assess its legitimacy, quality, originality, and methodology. Following review, you will be informed by the publication whether they have accepted or rejected your paper. 

What is a good opening sentence for a research paper? 

Beginning your research paper with a compelling introduction can ensure readers are interested in going further. A relevant quote, a compelling statistic, or a bold argument can start the paper and hook your reader. Remember, though, that the most important aspect of a research paper is the quality of the information––not necessarily your ability to storytell, so ensure anything you write aligns with your goals.

Research paper vs. a research proposal—what’s the difference?

While some may confuse research papers and proposals, they are different documents. 

A research proposal comes before a research paper. It is a detailed document that outlines an intended area of exploration. It includes the research topic, methodology, timeline, sources, and potential conclusions. Research proposals are often required when seeking approval to conduct research. 

A research paper is a summary of research findings. A research paper follows a structured format to present those findings and construct an argument or conclusion.

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Top tips for research questionnaire design

Master question types, prioritise user experience, and boost data quality..

A well-thought-out questionnaire is the backbone of any great piece of research. However, this is often overlooked as people tend to focus on the output rather than the process of how to get there. Refining and perfecting your questionnaire with the output in mind will make the process much easier when it comes to analysing the data and will also ensure that this data is robust.

A good questionnaire can help you build a story before you even have any data, ensure high data quality, and maximise completion rates.

But how can you do this?

Top six tips for questionnaire design

Tip 1 – know the headlines you are looking for.

Having a set of desired headlines that you’d like to get from the survey as a base makes writing the questionnaire much easier. Do you have a hypothesis to validate? Do you have an impact or maturity model to create? If so, make sure you create questions that lend themselves to that specific headline or model.

The questions should support the story you’re looking to tell or the headlines you need for your campaign, and it will be easier to get the desired angles to explore in the data. The type of question used here will also be crucial in dictating the kind of data that the research generates.

Tip 2 – Understand which question type is appropriate

Use ‘select one’ when you want to know exactly which is the ‘most important’ (or equivalent), or when it’s appropriate (e.g. on an agreement scale). However, bear in mind that if you ask respondents to select one from a long answer list, it can not only be tricky to answer but can result in very split results with no clear ‘winner’.

In these situations, using ‘select all that apply’ or ‘select up to three’ is the best option. This allows you to get higher percentages whilst also providing a rank order of answers (i.e. you can still see which comes out as first, second, and third from the list). You can see a list of good and bad questions below after ‘Key Takeaways’.

Tip 3 – Be mindful of the respondent’s experience

To make it as easy as possible, try to avoid ranking questions as they are more complex than they seem for respondents to answer and don’t tend to provide high-quality, interesting data. Instead, we recommend using Likert scales (from strongly agree to strongly disagree) or asking the respondents to select their top 3 challenges. This provides better quality responses and can still be reported as the most popular or most preferred when doing PR research, for example.

Try not to ask more than 25 questions (roughly a 10-minute survey), as this can mean people lose interest and engagement, which impacts the quality of responses as the survey progresses.

Tip 4 – Cover all the bases in question options to ensure data quality

Use closed questions that have a list of ready-made responses (i.e. code frames) that respondents can tick.  Understanding and researching issues related to the topic/market before code-frame creation is key to ensure a comprehensive list. If you’re in doubt about knowing all the potential ready-made options, use an ‘other’ category, particularly if you want to understand the impact of a problem or list of information sources.

We also strongly recommend including a neutral and ‘don’t know’ options as this allows for a larger breadth of responses rather than forcing participants to select options that might not reflect the truth, resulting in skewed data. Forcing respondents to choose an option they do not necessarily align with can also lead to higher dropout rates.

Tip 5 – Pick the correct format and ensure variety throughout

There are many ways that you can ensure the most engaging and varied set up for the respondent:  mix it up with short and long questions; include images or video where relevant. Put some simple to answer questions among a set that require more thought.

Also, make sure to keep the formatting of the questions clear and interesting. Don’t just ask lots of grid questions (e.g., rating questions), as respondents easily get bored with these.

Tip 6 – Watch the flow of your questionnaire and know your audience

Asking questions in the right order can be the difference between good and bad data. Ensuring questions which are related to each other are asked consecutively and placing questions into sections means that respondents will be ‘in the zone’ for that type of question before moving on to the next topic.

Try to be sensitive in the way that the questions are posed and the topics that are handled. Ask yourself how you would feel if you were in the respondent’s shoes and asked that question. Adding instructional text or pages with definitions can also aid the respondent’s experience.

Key Takeaways

There are numerous benefits to having a good questionnaire but there are two key outcomes you should focus on:

  • Setting yourself up to succeed – The goal of any research project is to have a great output that meets your objectives. It is pivotal to frame your questionnaire with headlines in mind and in a way that meets these objectives. The types of questions used and the context of the questions asked are very important and can vary depending on what it is you want to find out.
  • Improving data quality – Here at Sapio Research, our purpose is to  provide data confidence for all. A major part of this is about optimising data quality, and a good questionnaire can significantly influence this by increasing respondent engagement, ensuring the respondents views are covered, and reducing dropout rates. Quality data means quality results and should always be at the forefront of any research project.

Example Questions

Yes/no questions:.

We recommend splitting the Yes / No options to provide more insight .

Don’t do this ❌

Q1. Do you currently know how to write a good questionnaire? Select one  

Do this instead ✅

Q1. Do you currently know how to write a good questionnaire? Select one  

  • Yes , I am proficient
  • Yes, but I would like more training
  • No, but I would like to get better
  • No, and I don’t think I need to know this

Select all questions:

  • Ensure there are enough options for the respondent to choose from
  • Check whether a ‘select up to three’ question would be more appropriate to avoid respondents selecting all the options, which can result in flat data
  • Give respondents an option if none of the options apply to them

Q2. Which of the following are the key elements of a good questionnaire? Select all that apply.   

  • Interesting topic
  • Different types of questions
  • Short length

Q2. Which of the following are the key elements of a good questionnaire? Select up to three.  

  • Plenty of options to choose from for each question
  • Opportunities to write in own answers
  • Understandable language
  • Other (Please specify) 
  • I don’t know the key elements of a good questionnaire (Exclusive) 

Select one questions:

  • Ensure the options do not overlap 
  • Make sure all options are covered
  • Give respondents another option if none of the options apply to them

  Q3.  What is your current level of expertise on questionnaire writing? Select one  

  • Our organisation is very good at it
  • We make our best effort to write good questionnaires
  • Questionnaire writing is a time-consuming task
  • Questionnaire writing is fun

Q3.  What is your current level of expertise on questionnaire writing? Select one  

  • Expert – Our questionnaire writing is the best
  • Competent – We make the best effort to write good questionnaires but can still improve
  • Novice – We have had some training but can definitely improve further
  • Not applicable – Questionnaire writing is something we are not trained in at all

Numerical questions:

  • Ensure the bands do not overlap 
  • Where possible, try and keep the bands consistent (one-year gap, for example)

Q4.  How long have you been writing questionnaires? Select one   

  • 3-6 years 
  • I have never written a questionnaire
  • Less than a year
  • 3-4 years 
  • More than 5 years

Scale / Grid questions:

  • Make sure the questions are not leading 
  • Try to keep the options neutral to avoid bias 
  • Try to be more specific and avoid using subjective terminology 
  • Allow for answering neither agree nor disagree or don’t know to avoid false data and high dropout rates

Q5.  To what extent do you agree with the following statements? Select one per row  

  • My team is well-trained in questionnaire writing
  • My team finds it difficult to pick up new skills 
  • Strongly agree 
  • Strongly disagree
  • My business likes to support staff with personal development
  • My team prefers to stick with the tasks that employees are experienced in
  • Somewhat agree
  • Neither agree nor disagree
  • Somewhat disagree

How can we help?

Below are the trio of services that we provide when it comes to questionnaire design:.

Full design:   If your team is low on time and/or if you would love our expertise, we can build a questionnaire from scratch using your objectives, ideal headlines, business problems or stories for a campaign, and feedback rounds. This is also very useful when the questionnaire builds on a previous stage, such as the desk research or the qualitative stage. 

Partial design: We’d recommend this for people who have some good ideas of what questions they would like to ask but need a bit of support structing them and their ideas. We will feed in with suggesting questionnaire edits that will support your objectives and carefully review at every stage to make sure that your needs are being supported with our expertise.  

Questionnaire advice: This is the best approach if you have a lot of experience creating questionnaires in-house and are confident in writing questions, with little or no support needed. We’ll flag any potential changes that could improve the questionnaire that your team can choose to implement (or not), and support on developing the screening questions to define the survey audience.

And if you have any questions, feel free to contact us here to chat with us.

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  • Writing Strong Research Questions | Criteria & Examples

Writing Strong Research Questions | Criteria & Examples

Published on October 26, 2022 by Shona McCombes . Revised on November 21, 2023.

A research question pinpoints exactly what you want to find out in your work. A good research question is essential to guide your research paper , dissertation , or thesis .

All research questions should be:

  • Focused on a single problem or issue
  • Researchable using primary and/or secondary sources
  • Feasible to answer within the timeframe and practical constraints
  • Specific enough to answer thoroughly
  • Complex enough to develop the answer over the space of a paper or thesis
  • Relevant to your field of study and/or society more broadly

Writing Strong Research Questions

Table of contents

How to write a research question, what makes a strong research question, using sub-questions to strengthen your main research question, research questions quiz, other interesting articles, frequently asked questions about research questions.

You can follow these steps to develop a strong research question:

  • Choose your topic
  • Do some preliminary reading about the current state of the field
  • Narrow your focus to a specific niche
  • Identify the research problem that you will address

The way you frame your question depends on what your research aims to achieve. The table below shows some examples of how you might formulate questions for different purposes.

Research question formulations
Describing and exploring
Explaining and testing
Evaluating and acting is X

Using your research problem to develop your research question

Example research problem Example research question(s)
Teachers at the school do not have the skills to recognize or properly guide gifted children in the classroom. What practical techniques can teachers use to better identify and guide gifted children?
Young people increasingly engage in the “gig economy,” rather than traditional full-time employment. However, it is unclear why they choose to do so. What are the main factors influencing young people’s decisions to engage in the gig economy?

Note that while most research questions can be answered with various types of research , the way you frame your question should help determine your choices.

Prevent plagiarism. Run a free check.

Research questions anchor your whole project, so it’s important to spend some time refining them. The criteria below can help you evaluate the strength of your research question.

Focused and researchable

Criteria Explanation
Focused on a single topic Your central research question should work together with your research problem to keep your work focused. If you have multiple questions, they should all clearly tie back to your central aim.
Answerable using Your question must be answerable using and/or , or by reading scholarly sources on the to develop your argument. If such data is impossible to access, you likely need to rethink your question.
Not based on value judgements Avoid subjective words like , , and . These do not give clear criteria for answering the question.

Feasible and specific

Criteria Explanation
Answerable within practical constraints Make sure you have enough time and resources to do all research required to answer your question. If it seems you will not be able to gain access to the data you need, consider narrowing down your question to be more specific.
Uses specific, well-defined concepts All the terms you use in the research question should have clear meanings. Avoid vague language, jargon, and too-broad ideas.

Does not demand a conclusive solution, policy, or course of action Research is about informing, not instructing. Even if your project is focused on a practical problem, it should aim to improve understanding rather than demand a ready-made solution.

If ready-made solutions are necessary, consider conducting instead. Action research is a research method that aims to simultaneously investigate an issue as it is solved. In other words, as its name suggests, action research conducts research and takes action at the same time.

Complex and arguable

Criteria Explanation
Cannot be answered with or Closed-ended, / questions are too simple to work as good research questions—they don’t provide enough for robust investigation and discussion.

Cannot be answered with easily-found facts If you can answer the question through a single Google search, book, or article, it is probably not complex enough. A good research question requires original data, synthesis of multiple sources, and original interpretation and argumentation prior to providing an answer.

Relevant and original

Criteria Explanation
Addresses a relevant problem Your research question should be developed based on initial reading around your . It should focus on addressing a problem or gap in the existing knowledge in your field or discipline.
Contributes to a timely social or academic debate The question should aim to contribute to an existing and current debate in your field or in society at large. It should produce knowledge that future researchers or practitioners can later build on.
Has not already been answered You don’t have to ask something that nobody has ever thought of before, but your question should have some aspect of originality. For example, you can focus on a specific location, or explore a new angle.

Chances are that your main research question likely can’t be answered all at once. That’s why sub-questions are important: they allow you to answer your main question in a step-by-step manner.

Good sub-questions should be:

  • Less complex than the main question
  • Focused only on 1 type of research
  • Presented in a logical order

Here are a few examples of descriptive and framing questions:

  • Descriptive: According to current government arguments, how should a European bank tax be implemented?
  • Descriptive: Which countries have a bank tax/levy on financial transactions?
  • Framing: How should a bank tax/levy on financial transactions look at a European level?

Keep in mind that sub-questions are by no means mandatory. They should only be asked if you need the findings to answer your main question. If your main question is simple enough to stand on its own, it’s okay to skip the sub-question part. As a rule of thumb, the more complex your subject, the more sub-questions you’ll need.

Try to limit yourself to 4 or 5 sub-questions, maximum. If you feel you need more than this, it may be indication that your main research question is not sufficiently specific. In this case, it’s is better to revisit your problem statement and try to tighten your main question up.

If you want to know more about the research process , methodology , research bias , or statistics , make sure to check out some of our other articles with explanations and examples.

Methodology

  • Sampling methods
  • Simple random sampling
  • Stratified sampling
  • Cluster sampling
  • Likert scales
  • Reproducibility

 Statistics

  • Null hypothesis
  • Statistical power
  • Probability distribution
  • Effect size
  • Poisson distribution

Research bias

  • Optimism bias
  • Cognitive bias
  • Implicit bias
  • Hawthorne effect
  • Anchoring bias
  • Explicit bias

The way you present your research problem in your introduction varies depending on the nature of your research paper . A research paper that presents a sustained argument will usually encapsulate this argument in a thesis statement .

A research paper designed to present the results of empirical research tends to present a research question that it seeks to answer. It may also include a hypothesis —a prediction that will be confirmed or disproved by your research.

As you cannot possibly read every source related to your topic, it’s important to evaluate sources to assess their relevance. Use preliminary evaluation to determine whether a source is worth examining in more depth.

This involves:

  • Reading abstracts , prefaces, introductions , and conclusions
  • Looking at the table of contents to determine the scope of the work
  • Consulting the index for key terms or the names of important scholars

A research hypothesis is your proposed answer to your research question. The research hypothesis usually includes an explanation (“ x affects y because …”).

A statistical hypothesis, on the other hand, is a mathematical statement about a population parameter. Statistical hypotheses always come in pairs: the null and alternative hypotheses . In a well-designed study , the statistical hypotheses correspond logically to the research hypothesis.

Writing Strong Research Questions

Formulating a main research question can be a difficult task. Overall, your question should contribute to solving the problem that you have defined in your problem statement .

However, it should also fulfill criteria in three main areas:

  • Researchability
  • Feasibility and specificity
  • Relevance and originality

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how to make a research design for thesis

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how to make a research design for thesis

What It Covers

This template covers all the core components required in the methodology section of a typical dissertation, thesis or research paper, including:

  • The opening section
  • Research philosophy
  • Research type
  • Research strategy
  • Time horizon
  • Sampling strategy
  • Data collection methods
  • Data analysis methods
  • Conclusion & summary

The purpose of each section is explained in plain language, along with  practical examples to help you understand exactly what’s required.

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FAQs: Research Methdodology Template

What format is the template (doc, pdf, ppt, etc.).

The methodology chapter template is provided as a Google Doc. You can download it in MS Word format or make a copy to your Google Drive. You’re also welcome to convert it to whatever format works best for you, such as LaTeX or PDF.

What types of dissertations/theses can this template be used for?

The methodology template follows the standard format for academic research projects, which means it will be suitable for the vast majority of dissertations and theses (especially those within the sciences), whether they adopt a qualitative, quantitative, or mixed-methods approach. The template is loosely based on Saunders’ research onion , which is recommended as a methodological framework by many universities.

Keep in mind that the exact requirements for the methodology chapter/section will vary between universities and degree programs. These are typically minor, but it’s always a good idea to double-check your university’s requirements before you finalize your structure.

Is this template for an undergrad, Master or PhD-level thesis?

This template can be used for a dissertation, thesis or research project at any level of study. Doctoral-level projects typically require the methodology chapter to be more extensive/comprehensive, but the structure will typically remain the same.

How long should the methodology chapter be?

This can vary a fair deal, depending on the level of study (undergrad, Master or Doctoral), the field of research, as well as your university’s specific requirements. Therefore, it’s best to check with your university or review past dissertations from your program to get an accurate estimate. 

How detailed should my methodology be?

As a rule of thumb, you should provide enough detail for another researcher to replicate your study. This includes clear descriptions of procedures, tools, and techniques you used to collect and analyse your data, as well as your sampling approach.

How technical should my language be in this chapter?

In the methodology chapter, your language should be technical enough to accurately convey your research methods and processes, but also clear and precise to ensure it’s accessible to readers within your field.

Aim for a balance where the technical aspects of your methods are thoroughly explained without overusing jargon or overly complex language.

Should I include a pilot study in my methodology?

If you conducted a pilot study, you can include it in the methodology to demonstrate the feasibility and refinement of your methods. Be sure to obtain the necessary permissions from your research advisor before conducting any pilot studies, though. 

Can I share this template with my friends/colleagues?

Yes, you’re welcome to share this template in its original format (no editing allowed). If you want to post about it on your blog or social media, we kindly request that you reference this page as your source.

Do you have templates for the other chapters?

Yes, we do. We are constantly developing our collection of free resources to help students complete their dissertations and theses. You can view all of our template resources here .

Can Grad Coach help me with my methodology?

Yes, we can assist with your methodology chapter (or any other chapter) on a coaching basis. If you’re interested, feel free to get in touch to discuss our private coaching services .

Additional Resources

If you’re working on a research proposal, you’ll also want to check these out…

Methodology Bootcamp

1-On-1 Private Coaching

The Grad Coach YouTube Channel

The Grad Coach Podcast

IMAGES

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