how to write a research of a project

How To Write A Research Paper

Step-By-Step Tutorial With Examples + FREE Template

By: Derek Jansen (MBA) | Expert Reviewer: Dr Eunice Rautenbach | March 2024

For many students, crafting a strong research paper from scratch can feel like a daunting task – and rightly so! In this post, we’ll unpack what a research paper is, what it needs to do , and how to write one – in three easy steps. 🙂 

Overview: Writing A Research Paper

What (exactly) is a research paper.

• How to write a research paper
• Stage 1 : Topic & literature search
• Stage 2 : Structure & outline
• Stage 3 : Iterative writing
• Key takeaways

Let’s start by asking the most important question, “ What is a research paper? ”.

Simply put, a research paper is a scholarly written work where the writer (that’s you!) answers a specific question (this is called a research question ) through evidence-based arguments . Evidence-based is the keyword here. In other words, a research paper is different from an essay or other writing assignments that draw from the writer’s personal opinions or experiences. With a research paper, it’s all about building your arguments based on evidence (we’ll talk more about that evidence a little later).

Now, it’s worth noting that there are many different types of research papers , including analytical papers (the type I just described), argumentative papers, and interpretative papers. Here, we’ll focus on analytical papers , as these are some of the most common – but if you’re keen to learn about other types of research papers, be sure to check out the rest of the blog .

With that basic foundation laid, let’s get down to business and look at how to write a research paper .

Overview: The 3-Stage Process

While there are, of course, many potential approaches you can take to write a research paper, there are typically three stages to the writing process. So, in this tutorial, we’ll present a straightforward three-step process that we use when working with students at Grad Coach.

These three steps are:

• Finding a research topic and reviewing the existing literature
• Developing a provisional structure and outline for your paper, and
• Writing up your initial draft and then refining it iteratively

Let’s dig into each of these.

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Step 1: Find a topic and review the literature

As we mentioned earlier, in a research paper, you, as the researcher, will try to answer a question . More specifically, that’s called a research question , and it sets the direction of your entire paper. What’s important to understand though is that you’ll need to answer that research question with the help of high-quality sources – for example, journal articles, government reports, case studies, and so on. We’ll circle back to this in a minute.

The first stage of the research process is deciding on what your research question will be and then reviewing the existing literature (in other words, past studies and papers) to see what they say about that specific research question. In some cases, your professor may provide you with a predetermined research question (or set of questions). However, in many cases, you’ll need to find your own research question within a certain topic area.

Finding a strong research question hinges on identifying a meaningful research gap – in other words, an area that’s lacking in existing research. There’s a lot to unpack here, so if you wanna learn more, check out the plain-language explainer video below.

Once you’ve figured out which question (or questions) you’ll attempt to answer in your research paper, you’ll need to do a deep dive into the existing literature – this is called a “ literature search ”. Again, there are many ways to go about this, but your most likely starting point will be Google Scholar .

If you’re new to Google Scholar, think of it as Google for the academic world. You can start by simply entering a few different keywords that are relevant to your research question and it will then present a host of articles for you to review. What you want to pay close attention to here is the number of citations for each paper – the more citations a paper has, the more credible it is (generally speaking – there are some exceptions, of course).

Ideally, what you’re looking for are well-cited papers that are highly relevant to your topic. That said, keep in mind that citations are a cumulative metric , so older papers will often have more citations than newer papers – just because they’ve been around for longer. So, don’t fixate on this metric in isolation – relevance and recency are also very important.

Beyond Google Scholar, you’ll also definitely want to check out academic databases and aggregators such as Science Direct, PubMed, JStor and so on. These will often overlap with the results that you find in Google Scholar, but they can also reveal some hidden gems – so, be sure to check them out.

Once you’ve worked your way through all the literature, you’ll want to catalogue all this information in some sort of spreadsheet so that you can easily recall who said what, when and within what context. If you’d like, we’ve got a free literature spreadsheet that helps you do exactly that.

Step 2: Develop a structure and outline

With your research question pinned down and your literature digested and catalogued, it’s time to move on to planning your actual research paper .

It might sound obvious, but it’s really important to have some sort of rough outline in place before you start writing your paper. So often, we see students eagerly rushing into the writing phase, only to land up with a disjointed research paper that rambles on in multiple

Now, the secret here is to not get caught up in the fine details . Realistically, all you need at this stage is a bullet-point list that describes (in broad strokes) what you’ll discuss and in what order. It’s also useful to remember that you’re not glued to this outline – in all likelihood, you’ll chop and change some sections once you start writing, and that’s perfectly okay. What’s important is that you have some sort of roadmap in place from the start.

At this stage you might be wondering, “ But how should I structure my research paper? ”. Well, there’s no one-size-fits-all solution here, but in general, a research paper will consist of a few relatively standardised components:

• Introduction
• Literature review
• Methodology

Let’s take a look at each of these.

First up is the introduction section . As the name suggests, the purpose of the introduction is to set the scene for your research paper. There are usually (at least) four ingredients that go into this section – these are the background to the topic, the research problem and resultant research question , and the justification or rationale. If you’re interested, the video below unpacks the introduction section in more detail. 

The next section of your research paper will typically be your literature review . Remember all that literature you worked through earlier? Well, this is where you’ll present your interpretation of all that content . You’ll do this by writing about recent trends, developments, and arguments within the literature – but more specifically, those that are relevant to your research question . The literature review can oftentimes seem a little daunting, even to seasoned researchers, so be sure to check out our extensive collection of literature review content here .

With the introduction and lit review out of the way, the next section of your paper is the research methodology . In a nutshell, the methodology section should describe to your reader what you did (beyond just reviewing the existing literature) to answer your research question. For example, what data did you collect, how did you collect that data, how did you analyse that data and so on? For each choice, you’ll also need to justify why you chose to do it that way, and what the strengths and weaknesses of your approach were.

Now, it’s worth mentioning that for some research papers, this aspect of the project may be a lot simpler . For example, you may only need to draw on secondary sources (in other words, existing data sets). In some cases, you may just be asked to draw your conclusions from the literature search itself (in other words, there may be no data analysis at all). But, if you are required to collect and analyse data, you’ll need to pay a lot of attention to the methodology section. The video below provides an example of what the methodology section might look like.

By this stage of your paper, you will have explained what your research question is, what the existing literature has to say about that question, and how you analysed additional data to try to answer your question. So, the natural next step is to present your analysis of that data . This section is usually called the “results” or “analysis” section and this is where you’ll showcase your findings.

Depending on your school’s requirements, you may need to present and interpret the data in one section – or you might split the presentation and the interpretation into two sections. In the latter case, your “results” section will just describe the data, and the “discussion” is where you’ll interpret that data and explicitly link your analysis back to your research question. If you’re not sure which approach to take, check in with your professor or take a look at past papers to see what the norms are for your programme.

Alright – once you’ve presented and discussed your results, it’s time to wrap it up . This usually takes the form of the “ conclusion ” section. In the conclusion, you’ll need to highlight the key takeaways from your study and close the loop by explicitly answering your research question. Again, the exact requirements here will vary depending on your programme (and you may not even need a conclusion section at all) – so be sure to check with your professor if you’re unsure.

Step 3: Write and refine

Finally, it’s time to get writing. All too often though, students hit a brick wall right about here… So, how do you avoid this happening to you?

Well, there’s a lot to be said when it comes to writing a research paper (or any sort of academic piece), but we’ll share three practical tips to help you get started.

First and foremost , it’s essential to approach your writing as an iterative process. In other words, you need to start with a really messy first draft and then polish it over multiple rounds of editing. Don’t waste your time trying to write a perfect research paper in one go. Instead, take the pressure off yourself by adopting an iterative approach.

Secondly , it’s important to always lean towards critical writing , rather than descriptive writing. What does this mean? Well, at the simplest level, descriptive writing focuses on the “ what ”, while critical writing digs into the “ so what ” – in other words, the implications . If you’re not familiar with these two types of writing, don’t worry! You can find a plain-language explanation here.

Last but not least, you’ll need to get your referencing right. Specifically, you’ll need to provide credible, correctly formatted citations for the statements you make. We see students making referencing mistakes all the time and it costs them dearly. The good news is that you can easily avoid this by using a simple reference manager . If you don’t have one, check out our video about Mendeley, an easy (and free) reference management tool that you can start using today.

Recap: Key Takeaways

We’ve covered a lot of ground here. To recap, the three steps to writing a high-quality research paper are:

• To choose a research question and review the literature
• To plan your paper structure and draft an outline
• To take an iterative approach to writing, focusing on critical writing and strong referencing

Remember, this is just a b ig-picture overview of the research paper development process and there’s a lot more nuance to unpack. So, be sure to grab a copy of our free research paper template to learn more about how to write a research paper.

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• Methodology

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 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.

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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.

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.

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 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.

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.

Other methods of data collection

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

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.

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 .

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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Shona McCombes

• Research Process

Writing a Scientific Research Project Proposal

• 5 minute read
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Table of Contents

The importance of a well-written research proposal cannot be underestimated. Your research really is only as good as your proposal. A poorly written, or poorly conceived research proposal will doom even an otherwise worthy project. On the other hand, a well-written, high-quality proposal will increase your chances for success.

In this article, we’ll outline the basics of writing an effective scientific research proposal, including the differences between research proposals, grants and cover letters. We’ll also touch on common mistakes made when submitting research proposals, as well as a simple example or template that you can follow.

What is a scientific research proposal?

The main purpose of a scientific research proposal is to convince your audience that your project is worthwhile, and that you have the expertise and wherewithal to complete it. The elements of an effective research proposal mirror those of the research process itself, which we’ll outline below. Essentially, the research proposal should include enough information for the reader to determine if your proposed study is worth pursuing.

It is not an uncommon misunderstanding to think that a research proposal and a cover letter are the same things. However, they are different. The main difference between a research proposal vs cover letter content is distinct. Whereas the research proposal summarizes the proposal for future research, the cover letter connects you to the research, and how you are the right person to complete the proposed research.

There is also sometimes confusion around a research proposal vs grant application. Whereas a research proposal is a statement of intent, related to answering a research question, a grant application is a specific request for funding to complete the research proposed. Of course, there are elements of overlap between the two documents; it’s the purpose of the document that defines one or the other.

Scientific Research Proposal Format

Although there is no one way to write a scientific research proposal, there are specific guidelines. A lot depends on which journal you’re submitting your research proposal to, so you may need to follow their scientific research proposal template.

In general, however, there are fairly universal sections to every scientific research proposal. These include:

• Title: Make sure the title of your proposal is descriptive and concise. Make it catch and informative at the same time, avoiding dry phrases like, “An investigation…” Your title should pique the interest of the reader.
• Abstract: This is a brief (300-500 words) summary that includes the research question, your rationale for the study, and any applicable hypothesis. You should also include a brief description of your methodology, including procedures, samples, instruments, etc.
• Introduction: The opening paragraph of your research proposal is, perhaps, the most important. Here you want to introduce the research problem in a creative way, and demonstrate your understanding of the need for the research. You want the reader to think that your proposed research is current, important and relevant.
• Background: Include a brief history of the topic and link it to a contemporary context to show its relevance for today. Identify key researchers and institutions also looking at the problem
• Literature Review: This is the section that may take the longest amount of time to assemble. Here you want to synthesize prior research, and place your proposed research into the larger picture of what’s been studied in the past. You want to show your reader that your work is original, and adds to the current knowledge.
• Research Design and Methodology: This section should be very clearly and logically written and organized. You are letting your reader know that you know what you are going to do, and how. The reader should feel confident that you have the skills and knowledge needed to get the project done.
• Preliminary Implications: Here you’ll be outlining how you anticipate your research will extend current knowledge in your field. You might also want to discuss how your findings will impact future research needs.
• Conclusion: This section reinforces the significance and importance of your proposed research, and summarizes the entire proposal.
• References/Citations: Of course, you need to include a full and accurate list of any and all sources you used to write your research proposal.

Common Mistakes in Writing a Scientific Research Project Proposal

Remember, the best research proposal can be rejected if it’s not well written or is ill-conceived. The most common mistakes made include:

• Not providing the proper context for your research question or the problem
• Failing to reference landmark/key studies
• Losing focus of the research question or problem
• Not accurately presenting contributions by other researchers and institutions
• Incompletely developing a persuasive argument for the research that is being proposed
• Misplaced attention on minor points and/or not enough detail on major issues
• Sloppy, low-quality writing without effective logic and flow
• Incorrect or lapses in references and citations, and/or references not in proper format
• The proposal is too long – or too short

Scientific Research Proposal Example

There are countless examples that you can find for successful research proposals. In addition, you can also find examples of unsuccessful research proposals. Search for successful research proposals in your field, and even for your target journal, to get a good idea on what specifically your audience may be looking for.

While there’s no one example that will show you everything you need to know, looking at a few will give you a good idea of what you need to include in your own research proposal. Talk, also, to colleagues in your field, especially if you are a student or a new researcher. We can often learn from the mistakes of others. The more prepared and knowledgeable you are prior to writing your research proposal, the more likely you are to succeed.

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What is an abstract?

The abstract is a brief summary of your dissertation to help a new reader understand the purpose and content of the document, in much the same way as you would read the abstract of a journal article to help decide whether it was relevant to your work. The function of the abstract is to describe and summarise the contents of the dissertation, rather than making critical or evaluative statements about the project.

When should I write the abstract?

The abstract should be the last section you write before submitting your final dissertation or extended project report, as the content will only be decided once the main document is complete. 

What should I include?

One of the best ways to find the right ‘voice’ for the abstract is to look at other examples, either from dissertations in your field or study, or from journal articles. Look out for examples that you feel communicate complex ideas in a simple and accessible way. Your abstract should be clear and understandable to a non-specialist, so avoid specialist vocabulary as far as possible, and use simple sentence structures over longer more complex constructions. You can find a list of phrases for abstract writing here .

Most abstracts are written in the present tense, but this may differ in some disciplines, so find examples to inform your decision on how to write. Avoid the future tense - ‘this dissertation will consider’ - as the research has already been completed by the time someone is reading the abstract! You can explore some key phrases to use in abstract writing here.

Examples of dissertation abstracts Dissertation abstracts, University of Leeds Overview of what to include in your abstract, University of Wisconsin - Madison Abstract structures from different disciplines, The Writing Center For examples from Sheffield Hallam University, use the 'Advanced Search' function in Library Search to access ‘Dissertations/Theses’.

What should the introduction include?

Your introduction should cover the following points:.

• Provide context and set the scene for your research project using literature where necessary.
• Explain the rationale and value of the project.
• Provide definitions and address general limitations in the literature that have influenced the topic or scope of your project.
• Present your research aims and objectives, which may also be phrased as the research ‘problem’ or questions.

Although it is important to draft your research aims and objectives early in the research process, the introduction will be one of the last sections you write. When deciding on how much context and which definitions to include in this section, remember to look back at your literature review to avoid any repetition. It may be that you can repurpose some of the early paragraphs in the literature review for the introduction.

What is the ‘research aim’?

The research aim is a mission statement, that states the main ambition of your project. in other words, what does your research project hope to achieve you may also express this as the ‘big questions’ that drives your project, or as the research problem that your dissertation will aim to address or solve..

You only need one research aim, and this is likely to change as your dissertation develops through the literature review. Keep returning to your research aim and your aspirations for the project regularly to help shape this statement.

What are the research objectives? How are they different from research questions?

Research objectives and questions are the same thing – the only difference is how they are written! The objectives are the specific tasks that you will need to complete – the stepping stones – that will enable you to achieve your overall research aim.

You will usually have 3-5 research objectives, and their order will hep the reader to understand how you will progress through your research project from start to finish. If you can achieve each objective, or answer each research question, you should meet your research aim! It is therefore important to be specific in your choice of language: verbs, such as ‘to investigate’, ‘to explore’, ‘to assess’ etc. will help your research appear “do-able” (Farrell, 2011).

Here’s an example of three research objectives, also phrased as research questions (this depends entirely on your preference):

For more ideas on how to write research objectives, take at look at this list of common academic verbs for creating specific, achievable research tasks and questions.

We have an  online study guide dedicated to planning and structuring your literature review.

What is the purpose of the methodology section?

The methodology outlines the procedure and process of your data collection. You should therefore provide enough detail so that a reader could replicate or adapt your methodology in their own research.

While the literature review focuses on the views and arguments of other authors, the methodology puts the spotlight on your project. Two of the key questions you should aim to answer in this section are:

• Why did you select the methods you used?
• How do these methods answer your research question(s)?

The methodology chapter should also justify and explain your choice of methodology and methods. At every point where you faced a decision, ask: Why did choose this approach? Why not something else? Why was this theory/method/tool the most relevant or suitable for my project? How did this decision contribute to answering my research questions?

Although most students write their methodology before carrying out their data collection, the methodology section should be written in the past tense, as if the research has already been completed.

What is the difference between my methodology and my methods?

There are three key aspects of any methodology section that you should aim to address:.

• Methodology: Your choice of methodology will be grounded in a discipline-specific theory about how research should proceed, such as quantitative or qualitative. This overarching decision will help to provide rationale for the specific methods you go on to use.  
• Research Design: An explanation of the approach that you have chosen, and the type of data you will collect. For example, case study or action research? Will the data you collect be quantitative, qualitative or a mix of both?  
• Methods: The concrete research tools used to collect and analyse data: questionnaires, in-person surveys, observations etc.

You may also need to include information on epistemology and your philosophical approach to research. You can find more information on this in our research planning guide.

What should I include in the methodology section?

Research paradigm: What is the underpinning philosophy of your research? How does this align with your research aim and objectives?

Methodology : Qualitative or quantitative? Mixed? What are the advantages of your chosen methodology, and why were the other options discounted?

• Research design : Show how your research design is influenced by other studies in your field and justify your choice of approach.  
• Methods : What methods did you use? Why? Do these naturally fit together or do you need to justify why you have used different methods in combination?  
• Participants/Data Sources: What were your sources/who were your participants? Which sampling approach did you use and why? How were they identified as a suitable group to research, and how were they recruited?  
• Procedure : What did you do to collect your data? Remember, a reader should be able to replicate or adapt your methodology in their own research from the information you provide here.  
• Limitations : What are the general limitations of your chosen method(s)? Don’t be specific here about your project (ie. what you could have done differently), but instead focus on what the literature outlines as the disadvantages of your methods.

Should I reflect on my position as a researcher?

If you feel your position as a researcher has influenced your choice of methods or procedure in any way, the methodology is a good place to reflect on this. Positionality acknowledges that no researcher is entirely objective: we are all, to some extent, influenced by prior learning, experiences, knowledge, and personal biases. This is particularly true in qualitative research or practice-based research, where the student is acting as a researcher in their own workplace, where they are otherwise considered a practitioner/professional.

The following questions can help you to reflect on your positionality and gauge whether this is an important section to include in your dissertation (for some people, this section isn’t necessary or relevant):

• How might my personal history influence how I approach the topic?
• How am I positioned in relation to this knowledge? Am I being influenced by prior learning or knowledge from outside of this course?
• How does my gender/social class/ ethnicity/ culture influence my positioning in relation to this topic?
• Do I share any attributes with my participants? Are we part of a s hared community? How might this have influenced our relationship and my role in interviews/observations?
• Am I invested in the outcomes on a personal level? Who is this research for and who will feel the benefits?

Visit our detailed guides on qualitative and quantitative research for more information.

• Quantitative projects
• Qualitative projects

T he purpose of this section is to report the findings of your study. In quantitative research, the results section usually functions as a statement of your findings without discussion.

Results sections generally begin with descriptive statistics before moving on to further tests such as multiple linear regression, or inferential statistical tests such as ANOVA, and any associated Post-Hoc testing.

Here are some top tips for planning/writing your results section:

• Explain any treatments you have applied to your data.
• Present your findings in a logical order.
• Describe trends in the data/anomalous findings but don’t start to interpret them. Save that for your discussion section.
• Figures and tables are usually the clearest way to present information. It is important to remember to title and label any titles/diagrams to communicate their meaning to the reader and so that you can refer to them again later in the report (e.g. Table 1).
• Remember to be consistent with the rounding of figures. If you start by rounding to 2 decimal places, ensure that you do this for all data you report.
• Avoid repeating any information - if something appears in a table it does not need to appear again in the main body of the text.

Presenting qualitative data

In qualitative studies, your results are often presented alongside the discussion, as it is difficult to include this data in a meaningful way without explanation and interpretation. In the dsicussion section, aim to structure your work thematically, moving through the key concepts or ideas that have emerged from your qualitative data. Use extracts from your data collection - interviews, focus groups, observations - to illustrate where these themes are most prominent, and refer back to the sources from your literature review to help draw conclusions. 

Here's an example of how your data could be presented in paragraph format in this section:

Example from  'Reporting and discussing your findings ', Monash University .

What should I include in the discussion section?

The purpose of the discussion section is to interpret your findings and discuss these against the context of the wider literature. This section should also highlight how your research has contributed to the understanding of a phenomenon or problem: this can be achieved by responding to your research questions.

Though the structure of discussion sections can vary, a relatively common structure is offered below:

• State your major findings – this can be a brief opening paragraph that restates the research problem, the methods you used to attempt to address this, and the major findings of your research.
• Address your research questions - detail your findings in relation to each of your research questions to help demonstrate how you have attempted to address the research problem. Answer each research question in turn by interpreting the relevant results: this may involve highlighting patterns, relationships or statistically significant differences depending on the design of your research and how you analysed your data.
• Discuss your findings against the wider literature - this will involve comparing and contrasting your findings against those of others and using key literature to support the interpretation of your results; often, this will involve revisiting key studies from your literature review and discussing where your findings fit in the pre-existing literature. This process can help to highlight the importance of your research through demonstrating what is novel about your findings and how this contributes to the wider understanding of your research area.
• Address any unexpected findings in your study - begin with by stating the unexpected finding and then offer your interpretation as to why this might have occurred. You may relate unexpected findings to other research literature and you should also consider how any unexpected findings relate to your overall study – especially if you think this is significant in terms of what your findings contribute to the understanding of your research problem!
• Discuss alternative interpretations - it’s important to remember that in research we find evidence to support ideas, theories and understanding; nothing is ever proven. Consequently, you should discuss possible alternative interpretations of your data – not just those that neatly answer your research questions and confirm your hypotheses.
• Limitations/weaknesses of your research – acknowledge any factors that might have affected your findings and discuss how this relates to your interpretation of the data. This might include detailing problems with your data collection method, or unanticipated factors that you had not accounted for in your original research plan. Likewise, detail any questions that your findings could not answer and explain why this was the case.
• Future directions (this part of your discussion could also be included in your conclusion) – this section should address what questions remain unanswered about your research problem. For example, it may be that your findings have answered some questions but raised new ones; this can often occur as a result of unanticipated findings. Likewise, some of the limitations of your research may necessitate further work to address a methodological confound or weakness in a tool of measurement. Whatever these future directions are, remember you’re not writing a proposal for this further research; a brief suggestion of what the research should do and how this would address one of the new problems/limitations you have identified is enough.

Here are some final top tips for writing your discussion section:

• Don’t rewrite your results section – remember your goal is to interpret and explain how your findings address the research problem.
• Be clear about what you have found, how this has addressed a gap in the literature and how it changes our understanding of your research problem.
• Structure your discussion in a logical way that highlights your most important/interesting findings first.
• Be careful about how you interpret your data: be wary over-interpreting to confirm a hypothesis. Remember, we can still learn from non-significant research findings.
• Avoid being apologetic or too critical when discussing the limitations of your research. Be concise and analytical. 

How do I avoid repetition in the conclusion?

The conclusion is your opportunity to synthesise everything you have done/written as part of your research, in order to demonstrate your understanding.

A well-structured conclusion is likely to include the following:

• State your conclusions – in clear language, state the conclusions from your research. Crucially, this not just restating your results/findings: instead, this is a synthesis of the research problem, your research questions, your findings (and interpretation), and the relevant research literature. From your conclusions, it should be clear to your reader how our understanding of the research topic has changed.  
• Discuss wider significance – this is your opportunity to highlight (potential) wider implications of your conclusions. Depending on your discipline, this might include recommendations for policy, professional practice or a tentative speculation about how an academic theory might change given your findings. It is important not to over-generalise here; remember the limitations of your theoretical and methodological choices and what these mean for the applicability of your findings/conclusions. If your discipline encourages reflection, this can be a suitable place to include your thoughts about the research process, the choices you made and how your findings/conclusions might influence your professional outlook/practice going forwards.  
• Take home message – this should be a strong and clear final statement that draws the reader’s focus to the primary message of your study. Whilst it’s important to avoid being overly grandiose, this is your closing argument, and you should remind the reader of what your research has achieved.

Ultimately, your conclusion is your final word about the research problem you have investigated; don’t be afraid of emphasising your contribution to the understanding of that problem. Your conclusion should be clear, succinct and provide a summary of everything that has been learned as a result of your research project. 

What supervisors expect from their dissertation students:

• to determine the focus and direction of the dissertation, particularly in terms of identifying a topic of interest and research question.
• to work independently to explore literature and research in the chosen topic area.
• to be proactive in arranging supervision meetings, email draft work before meetings for feedback and prepare specific questions and issues to discuss in supervision time.
• to be honest and open about any challenges or difficulties that arise during the research or writing process.
• to bring a problem-solving approach to the dissertation (you are not expected to know all the answers but should show initiative in exploring possible solutions to any problems that might arise).

What you can expect from your supervisor:

• to offer guidance on the best way to structure and carry out a successful research project in the timescale for your dissertation, and to help you to set achievable and appropriate research objectives.
• ​ to act as an expert in your discipline and sounding board for your ideas, and to advise you on the literature search and theoretical background for your project.
• to serve as a 'lifeline' and point of support when the dissertation feels challenging.
• to read your drafts and give feedback in supervision meetings.
• to offer practical advice and strategies for managing your time, securing ethics approval, collecting data and common pitfalls to avoid during the research process.

Making the most of your supervision meetings

Meeting your supervisor can feel daunting at first but your supervision meetings offer a great opportunity to discuss your research ideas and get feedback on the direction of your project. Here are our top tips to getting the most out of time with your supervisor:  

• Y ou are in charge of the agenda. If you arrange a meeting with your supervisor, you call the shots! Here are a few tips on how to get the most out of the time with your supervisor.
• Send an email in advance of the meeting , with an overview of the key ideas you want to talk about. This can save time in the meeting and helps to give you some structure to follow. If this isn't possible, run through these points quickly when you first sit down as you introduce the meeting - "I wanted to focus on the literature review today, as I'm having some trouble deciding on the order my key themes and points should be introduced in."
• What do you want to get out of the meeting? Note down any questions you would like the answers to or identify what it is you will need from the meeting in order to make progress on the next stage of your dissertation. Supervision meetings offer the change to talk about your ideas for the project, but they can also be an opportunity to find out practical details and troubleshoot. Don't leave the meeting until you have addressed these and got answers/advice in each key area.
• Trust your supervisor. Your supervisor may not be an expert in your chosen subject, but they will have experience of writing up research projects and coaching other dissertation students. You are responsible for reading up on your subject and exploring the literature - your supervisor can't tell you what to read, but they can give you advice on how to read your sources and integrate them into your argument and writing.
• Choose a short section to discuss in the meeting for feedback - for example, if you're not sure on structure, pick a page or two that demonstrate this, or if you want advice on being critical, find an example from a previous essay where you think you did this well and ask your supervisor how to translate this into dissertation writing.
• Agree an action plan . Work with your supervisor to set a goal for your next meeting, or an objective that you will meet in the week following your supervision. Feeling accountable to someone can be a great motivator and also helps you to recognise where you are starting to fall behind the targets that you've set for yourself.
• Be open and honest . It can feel daunting meeting your supervisor, but supervision meetings aren't an interview where you have to prove everything is going well. Ask for help and advice where you need it, and be honest if you're finding things difficult. A supervisor is there to support you and help you to develop the skills and knowledge you need along the journey to submitting your dissertation.
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Home » Research Methodology – Types, Examples and writing Guide

Research Methodology – Types, Examples and writing Guide

Table of Contents

Research Methodology

Definition:

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

Structure of Research Methodology

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

I. Introduction

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

II. Research Design

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

III. Data Collection Methods

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

IV. Data Analysis Methods

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

V. Ethical Considerations

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

VI. Limitations

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

VII. Conclusion

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

Research Methodology Types

Types of Research Methodology are as follows:

Quantitative Research Methodology

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

Qualitative Research Methodology

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

Mixed-Methods Research Methodology

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

Case Study Research Methodology

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

Action Research Methodology

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

Experimental Research Methodology

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

Survey Research Methodology

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

Grounded Theory Research Methodology

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

Research Methodology Example

An Example of Research Methodology could be the following:

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

Introduction:

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

Research Design:

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

Participants:

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

Intervention :

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

Data Collection:

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

Data Analysis:

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

Ethical Considerations:

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

Data Management:

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

Limitations:

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

Conclusion:

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

How to Write Research Methodology

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

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

When to Write Research Methodology

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

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

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

Applications of Research Methodology

Here are some of the applications of research methodology:

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

Purpose of Research Methodology

Research methodology serves several important purposes, including:

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

Advantages of Research Methodology

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

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

Research Methodology Vs Research Methods

About the author.

Muhammad Hassan

Researcher, Academic Writer, Web developer

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• v.28(3); Jul-Sep 2018

How to Write a Research Protocol: Tips and Tricks

Matteo cameli.

Department of Cardiovascular Diseases, University of Siena, Siena, Italy

Giuseppina Novo

1 Biomedical Department of Internal Medicine and Medical Specialties, Cardiology Unit, University of Palermo, Palermo, Italy

Maurizio Tusa

2 Division of Cardiology, IRCCS Policlinico San Donato, Italy

Giulia Elena Mandoli

Giovanni corrado.

3 Department of Cardiology, Valduce Hospital, Como, Italy

Frank Benedetto

4 Division of Cardiology, Bianchi-Melacrino-Morelli Hospital, Reggio Calabria, Italy

Francesco Antonini-Canterin

5 High Specialization Rehabilitation Hospital, ORAS, Motta di Livenza, Treviso, Italy

Rodolfo Citro

6 Heart Department, University Hospital “San Giovanni di Dio e Ruggi D’Aragona”, Salerno, Italy

The first drafting of the protocol for a new research project should start from a solid idea with one or more of these goals:

• Overcoming the limits of the current knowledge in a determinate field with the aim of bridging a “knowledge gap”
• Bringing something new in a scarcely explored field
• Validating or nullifying previous results obtained in limited records by studies on a wider population.

A research proposal born with the intent to convince the others that your project is worthy and you are able to manage it with a complete and specific work plan. With a strong idea in mind, it is time to write a document where all the aspects of the future research project must be explained in a precise, understandable manner. This will successively help the researcher to present it and process and elaborate the obtained results.[ 1 ] The protocol manuscript should also underline both the pros and the potentialities of the idea to put it under a new light.[ 2 ]

Our paper will give the authors suggestions and advices regarding how to organize a research protocol, step by step [ Table 1 ].

Main sections and subsections in a complete research protocol

A research protocol must start from the definition of the coordinator of the whole study: all the details of the main investigator must be reported in the first paragraph. This will allow each participant to know who ask for in case of doubts or criticalities during the research. If the study will be multicentric, in the first section must be written also the number of the involved centers, each one possibly matched with the corresponding reference investigator.

Second section: Specific features of the research study

After completing the administrative details, the next step is to provide and extend title of the study: This is made for identifying the field of research and the aim of the study itself in a sort of brief summary of the research; the title must be followed by a unique acronym, like an ID of the protocol. If the protocol has been already exposed and approved by the Ethical Committee, it is appropriate to include also protocol number.

A list of 3–7 keywords must be listed to simplify the collocation of the protocol in its field of research, including, for example, disease, research tools, and analyzed parameters (e.g. three-dimensional echocardiography, right ventricle, end-stage heart failure, and prognosis).

The protocol must continue stating the research background that is the rational cause on the base on which the study is pursued. This section is written to answer some of these questions: what is the project about? What is already available in this field in the current knowledge? Why we need to overcome that data? and How will the community will from the present study?

As for an original research manuscript, the introduction to the project must include a brief review of the literature (with corresponding references). It is also fundamental to support the premises of the study, to underline the importance of the project in that particular time period and above all, of the materials and methods that will be employed. The rationale should accurately put in evidence the current lack in that field of scientific knowledge, following a precise, logical thread with concrete solutions regarding how to overcome the gaps and to conclude with the hypothesis of the project. A distinct paragraph can be dedicated to references, paying attention to select only the previous papers that can help the reader to focus the attention on the topic and to not excessively extend the list. In the references paragraph, the main studies regarding the object of the research but also state-of-art reviews updating the most recent discoveries in the field should be inserted.

The section should successively expose the study design: monocentric or multicentric, retrospective or prospective, controlled or uncontrolled, open-label or blinded, randomized or nonrandomized, and observational or experimental. It should also be explained why that particular design has been chosen.

At this point, the author must include the primary objective of the research, that is, the main goal of the study. This is a crucial part of the proposal and more than 4–5 aims should be avoided to do not reduce the accuracy of the project. Using verbs as “to demonstrate,” “to assess,” “to verify,” “to improve,” “to reduce,” and “to compare” help to give relevance to this section. Add also a description of the general characteristics of the population that will be enrolled in the study (if different subgroups are planned, the criteria on the base of which they will be divided should be specified); primary and secondary end-points, including all the variables that represent the measure of the objective (e.g., all-cause death, cardiovascular death, hospitalization, and side effects of a drug) follow in this section.

All the single parameters and variables that will be assessed during the study must be accurately and precisely listed along with the tools, the methods, the process schedule timing, and the technical details by which they will be acquired; Here, the author should explain how the Investigators who work in the other involved centers have to sent their results and acquired data to the Core Laboratory (e.g. by filled databases or by sending images).

A special attention must then be paid to clarify the planning of each examination the study patients will undergo: basal evaluation, potential follow-up schedule, treatment strategy plan, comparison between new and already-in-use drugs, dose and dosage of the treatment in case of a pharmacological study. This part can be enhanced by flowcharts or algorithms that allow a more immediate comprehension and interpretation of the study strategy.

This section may result more complete if one more subsection, illustrating the expected results, is included. Considering the idea at the base on the project, the endpoints and the pre-arranged objectives, the author can explain how its research project will

• Contribute to optimize the scientific knowledge in that specific field
• Give real successive implications in clinical practice
• Pave the way for future scientific research in the same or similar area of interest, etc.

The study population must be specified in detail, starting from inclusion criteria (including age and gender if it is planned to be restricted) and exclusion criteria: the more precise are the lists, the more accurate the enrollment of the subjects will be to avoid selection biases. This will also help to raise the success rate of the project and to reduce the risks of statistical error during the successive analysis of the data. The sample size should be planned and justified on the base of a statistic calculation considering the incidence and prevalence of the disease, frequency of use of a drug, etc., and possibly also indicating if the study considers a minimal or maximal number of subjects for each enrollment center (in case of multicentric studies).

This section of the protocol should end with some indications regarding timing and duration of the study: Starting and end of enrollment date, starting and end of inclusion date, potential frequency of control examinations, and timing of the analysis of the acquired data. If already settled, it can be useful to indicate also the type of statistical analysis that the investigators will apply to the data.

It is always necessary to prepare an informed consent to be proposed to the patient where premises, methods, and aims of the research together with advantages (e.g., some visits or diagnostic examinations for free) and possible risks derived from the participation to the study.

In this short section, various pieces of information regarding safety of the study must be added (a classification is fundamental in case of studies that expect the use of invasive procedures or drugs use). Usually, for nonobservational studies, an insurance coverage must be considered.

If the investigators have requested or plan to request funding or financial support, all the obtained resources must be listed to avoid conflicts of interest.

C ONCLUSION

Writing a complete and detailed document is a paramount step before starting a research projects. The protocol, as described in this paper, should be simply and correctly written but must clarify all the aspects of the protocol. The document could be divided into three different sessions to give all the parts the appropriate attention.

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How To Write A Research Proposal

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Imagine this: you're sitting in your cluttered dorm room, surrounded by piles of books and stacks of notes. It's the middle of the night, and you're desperately trying to piece together your thoughts for that looming research proposal deadline. The pressure is on – you know this research proposal could be the ticket to kickstarting your academic career or securing that much-needed funding for your groundbreaking research idea. But how to write a research proposal? Don't worry, you're not alone. Making a research proposal can seem daunting, but fear not – with the right approach, it's entirely achievable. In this blog, we'll take you through each step of writing a research proposal, from understanding the basics to putting together a winning research proposal that grabs attention and gets results. 

What is a research proposal used for, and why is it important?

A research proposal is important because it helps determine if there is enough expertise to support your research area. It is a key part of evaluating your application, showing that your project is feasible and fits within the institution's strengths. However, the proposal is just the beginning. Your ideas will likely change as you delve deeper into your research, but it provides a clear starting point. This initial plan helps both you and the institution understand the potential direction and significance of your research, laying solid foundations for your future. 

What Things to keep in mind while writing a research proposal?

Academics often need to write research proposals to get funding for their projects. As a student, you might need to write one when applying to grad school or before starting your thesis or dissertation. A proposal helps you shape your research plans and shows why your project is valuable to funders, educational institutions, or supervisors.

• Relevance: Show your reader why your project is interesting, unique, and important.
• Context: Show that you are comfortable and knowledgeable in your field. Make it clear that you understand the current research on your topic.
• Approach: Explain why you chose your methodology. Show that you've thought carefully about the data, tools, and steps needed to do your research.
• Achievability: Make sure your project can be done within the time frame of your program or funding deadline.
• Tone: When you write research proposals or any academic work, keep it formal and objective. Remember, being clear and to the point is important. Keep your writing concise; being formal doesn't mean using fancy language.

How long should my research proposal be?

Usually, research proposals for bachelor’s and master’s theses are just a few pages. But for bigger projects like Ph.D. dissertations or asking for funding, they can be longer and more detailed. The main aim of a research proposal is to explain what your research will do clearly. So, while the length of the proposal matters less, what’s really important is that you cover all the necessary information in it.

Sections of a research proposal

Research proposals usually have a simple layout. To meet the goals we talked about earlier, here’s how to write a research proposal:

If your proposal is really long, you might want to add a summary and a list of what's inside to help your reader find their way around. Just like your dissertation or thesis, your proposal should have a title page with the following

• The title of your project
• Your supervisor’s name
• Your school and department

Introduction section of research proposal

The beginning of your proposal is like the first pitch for your project. Make it clear and brief, explaining what you want to do and why.

In your introduction:

• Introduce your topic
• Provide background and context
• Explain the problem you're addressing and your research questions

To help you with your introduction, include:

• Who might care about your topic (like scientists or policymakers)
• What's already known about it
• What's still unknown
• How your research will add new information
• Why do you think this research matters

Literature review

As you begin, it's important to show that you know about the key research on your topic. A good literature review tells your reader that your project is based on solid existing knowledge. It also shows that you're not just repeating what others have said but adding something new.

In this part, explain how your project fits into the ongoing discussion in the field by:

• Comparing different theories, methods, and debates
• Looking at the strengths and weaknesses of different ideas
• Saying how you'll use past research in your own work - whether you'll build on it, challenge it, or bring it together with new ideas

If you're not sure where to start, check out our guide on writing a literature review.

Background significance

Your background section sets the stage for your research. Here, you explain why your topic matters and what questions you're trying to answer. It's like showing the backstory of your project, giving readers a clear picture of why it's worth their attention. In your research proposal, it's crucial to cover:

• Background and why your research is important
• Your field of study
• A brief look at existing research
• The main arguments and changes happening in your area

Research design, methods, and schedule

After looking at existing research, it's time to talk about your plans in this methodology section of a research proposal. One key thing to remember when learning how to write a research proposal is to include details about your research methods, like how you'll collect data and analyse it. Here's what your materials and methods in research proposal should cover:

• What kind of research you'll be doing - qualitative or quantitative, and whether you're gathering new data or using existing data.
• Whether your research is experimental, looking at connections, or describing things.
• Details about your data - if you're in social sciences, who you're studying and how you'll pick them.
• The tools you'll use to gather data - like experiments, surveys, or observations, and why they're right for your research.

When figuring out how to write a research proposal, start by clearly stating your research question and explaining why it's important and don't forget to include:

• Your timeline for the research.
• How much money do you need?
• Any problems you might face and how you'll deal with them.

Suppositions and Implications

Even though you won't know your research results until you do the work, you should have a clear idea of how your project will help and contribute to your field. Knowing how to write a research proposal also involves explaining the potential impact of your study. This part of your research proposal is extremely crucial because it explains why your research is necessary.

In this section on how to write a research proposal, make sure you cover the following:

• How your work might challenge current ideas, theories and assumptions in your field.
• Why your research is a good starting point for future studies.
• How your findings could be useful for professionals, teachers, and other researchers.
• The problems your research could potentially help solve.
• Any rules or guidelines that could change because of what you find.
• How your research could be used in schools or other places, and how that'll make things better.

Basically, in this section of a research proposal, you're not saying exactly what you'll find. Instead, you're explaining why whatever you discover will be important.

When applying for research funding, it's likely you'll need to provide a thorough budget. This demonstrates your projected costs for different aspects of your project. Be sure to review the funding body's guidelines to see what expenses they're willing to fund. For each item in your budget, include:

• Cost : How much money do you need?
• Why : Why do you need this money for your research?
• Source : How did you figure out this amount?

When you're making your budget, think about:

• Travel : Do you need to go somewhere to get your data? How will you get there, and how long will it take? What will you do there?
• Materials : Do you need any special tools or tech?
• Help : Do you need to hire someone to help with your research? What will they do, and how much will you pay them?

In this section of a research proposal, you tie everything together. Your conclusion section, much like the conclusion paragraph of an essay, gives a quick rundown of your research proposal and strengthens the purpose you've laid out. It reminds the reader of the main points and emphasises why your research matters. It's your final chance to leave a lasting impression and make a case for the importance of your work.

Bibliography

Writing a bibliography is essential alongside your literature review. In this part of your research proposal structure, unlike the review, where you explain why you chose your sources and sometimes even question them. The bibliography just lists your sources and who wrote them.

Citing depends on the style guide, like MLA , APA , or Chicago . Each has its own rules, even for unusual sources like websites or speeches. If you don't need a full bibliography, a references list with just the sources you cited is enough. If unsure, ask your supervisor.  Be sure to include:

• A list of references to important articles and texts you talked about in your research proposal.
• Choose sources that fit well with your proposed research.

Editing and proofreading a research proposal

When writing a research proposal, use the same six-step process you apply to all your writing tasks. Once you've drafted it, give it some time to cool off before proofreading. This helps you spot errors and gaps more effectively, ensuring a polished final version. Taking breaks between writing and revising enhances the quality of your work.

Common mistakes to avoid when writing a research proposal

When you’re writing a research proposal, avoid these common pitfalls: 

Being too wordy

Remember, being formal doesn't mean using fancy words. In fact, it's best to keep your writing short and direct. The clearer and more concise you are about your purpose and goals, the stronger your proposal will be.

Failing to cite relevant sources

When you do research, you contribute to what we already know about your topic. Your proposal should mention important past research in your field and explain how your work relates to it. This shows not just why your work matters but also that you know your stuff. Referencing landmark studies gives your proposal credibility and strengthens your argument.

Focusing too much on minor issues

Your research likely has many important reasons behind it, but you don't need to list them all in your proposal. Including too many details can distract from your main goal, making your proposal weaker. Focus on the big, key issues you'll address. Save the smaller details for your actual research paper. Keeping your proposal focused strengthens your argument and makes it more effective.

Failing to make a strong argument for your research

Overloading your proposal with too many minor issues can weaken it significantly, as this approach is more subjective than others. Essentially, a research proposal is a form of persuasive writing. While it's presented objectively, the aim is to convince the reader to support your work. This applies universally whether your audience is your supervisor, department head, admissions board, funding provider, or journal editor. Keeping your proposal focused enhances its persuasiveness.

Polish your writing into a stellar proposal

When you're seeking approval for research, especially when funding is involved, your proposal needs to be perfect. Spelling mistakes, grammar errors, or awkward wording can hurt your credibility. Even if you've edited carefully, it's essential to double-check. Your research deserves the strongest proposal possible to make the best impression and secure the support it needs.

If you're unsure how to write a research proposal, don't worry! There are plenty of resources and examples available to guide you through the process. We hope this blog helped you answer your question of “how to write a research proposal”. Practice is key when learning how to write a research proposal, so don't be afraid to ask for feedback and revise your proposal until it's clear and compelling.  

Frequently Asked Questions

How to write an abstract for a research proposal, what is the research proposal format , how to write a proposal for a research paper, how to write a dissertation proposal, how to write a phd proposal.

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How to Craft Your Ideal Thesis Research Topic

Table of contents

Catherine Miller

Writing your undergraduate thesis is probably one of the most interesting parts of studying, especially because you get to choose your area of study. But as both a student and a teacher who’s helped countless students develop their research topics, I know this freedom can be just as intimidating as it is liberating.

Fortunately, there’a a step-by-step process you can follow that will help make the whole process a lot easier. In this article, I’ll show you how to choose a unique, specific thesis topic that’s true to your passions and interests, while making a contribution to your field.

Choose a topic that you’re interested in

First things first: double-check with your teachers or supervisor if there are any constraints on your research topic. Once your parameters are clear, it’s time to identify what lights you up — after all, you’re going to be spending a lot of time thinking about it.

Within your field of study, you probably already have some topics that have grabbed your attention more than others. This can be a great place to start. Additionally, consider using the rest of your academic and extra-curricular interests as a source of ideas. At this stage, you only need a broad topic before you narrow it down to a specific question. 

If you’re feeling stuck, here are some things to try:

• Look back through old course notes to remind yourself of topics you previously covered. Do any of these inspire you?
• Talk to potential supervisors about your ideas, as they can point you toward areas you might not have considered.
• Think about the things you enjoy in everyday life — whether that’s cycling, cinema, cooking, or fashion — then consider if there are any overlaps with your field of study.
• Imagine you have been asked to give a presentation or record a podcast in the next three days. What topics would you feel confident discussing?
• Watch a selection of existing lectures or explainer videos, or listen to podcasts by experts in your field. Note which topics you feel curious to explore further.
• Discuss your field of study with teachers friends and family, some with existing knowledge and some without. Which aspects do you enjoy talking about? 

By doing all this, you might uncover some unusual and exciting avenues for research. For example, when writing my Master’s dissertation, I decided to combine my field of study (English teaching methodology) with one of my passions outside work (creative writing). In my undergraduate course, a friend drew on her lived experience of disability to look into the literary portrayal of disability in the ancient world. 

Do your research

Once you’ve chosen your topic of interest, it’s time to dive into research. This is a really important part of this early process because it allows you to:

• See what other people have written about the topic — you don’t want to cover the same old ground as everyone else.
• Gain perspective on the big questions surrounding the topic. 
• Go deeper into the parts that interest you to help you decide where to focus.
• Start building your bibliography and a bank of interesting quotations. 

A great way to start is to visit your library for an introductory book. For example, the “A Very Short Introduction” series from the Oxford University Press provides overviews of a range of themes. Similar types of overviews may have the title “ A Companion to [Subject]” or “[Subject] A Student Companion”. Ask your librarian or teacher if you’re not sure where to begin. 

Your introductory volume can spark ideas for further research, and the bibliography can give you some pointers about where to go next. You can also use keywords to research online via academic sites like JStor or Google Scholar. Check which subscriptions are available via your institution.

At this stage, you may not wish to read every single paper you come across in full — this could take a very long time and not everything will be relevant. Summarizing software like Wordtune could be very useful here.

Just upload a PDF or link to an online article using Wordtune, and it will produce a summary of the whole paper with a list of key points. This helps you to quickly sift through papers to grasp their central ideas and identify which ones to read in full. 

Get Wordtune for free > Get Wordtune for free >

You can also use Wordtune for semantic search. In this case, the tool focuses its summary around your chosen search term, making it even easier to get what you need from the paper.

As you go, make sure you keep organized notes of what you’ve read, including the author and publication information and the page number of any citations you want to use. 

Some people are happy to do this process with pen and paper, but if you prefer a digital method, there are several software options, including Zotero , EndNote , and Mendeley . Your institution may have an existing subscription so check before you sign up.

Narrowing down your thesis research topic

Now you’ve read around the topic, it’s time to narrow down your ideas so you can craft your final question. For example, when it came to my undergraduate thesis, I knew I wanted to write about Ancient Greek religion and I was interested in the topic of goddesses. So, I:

• Did some wide reading around the topic of goddesses
• Learned that the goddess Hera was not as well researched as others and that there were some fascinating aspects I wanted to explore
• Decided (with my supervisor’s support) to focus on her temples in the Argive region of Greece

As part of this process, it can be helpful to consider the “5 Ws”: why, what, who, when, and where, as you move from the bigger picture to something more precise. 

Why did you choose this research topic?

Come back to the reasons you originally chose your theme. What grabbed you? Why is this topic important to you — or to the wider world? In my example, I knew I wanted to write about goddesses because, as a woman, I was interested in how a society in which female lives were often highly controlled dealt with having powerful female deities. My research highlighted Hera as one of the most powerful goddesses, tying into my key interest.

What are some of the big questions about your topic?

During your research, you’ll probably run into the same themes time and time again. Some of the questions that arise may not have been answered yet or might benefit from a fresh look. 

Equally, there may be questions that haven’t yet been asked, especially if you are approaching the topic from a modern perspective or combining research that hasn’t been considered before. This might include taking a post-colonial, feminist, or queer approach to older texts or bringing in research using new scientific methods.

In my example, I knew there were still controversies about why so many temples to the goddess Hera were built in a certain region, and was keen to explore these further.

Who is the research topic relevant to?

Considering the “who” might help you open up new avenues. Is there a particular audience you want to reach? What might they be interested in? Is this a new audience for this field? Are there people out there who might be affected by the outcome of this research — for example, people with a particular medical condition — who might be able to use your conclusions?

Which period will you focus on?

Depending on the nature of your field, you might be able to choose a timeframe, which can help narrow the topic down. For example, you might focus on historical events that took place over a handful of years, look at the impact of a work of literature at a certain point after its publication, or review scientific progress over the last five years. 

With my thesis, I decided to focus on the time when the temples were built rather than considering the hundreds of years for which they have existed, which would have taken me far too long.

Where does your topic relate to?

Place can be another means of narrowing down the topic. For example, consider the impact of your topic on a particular neighborhood, city, or country, rather than trying to process a global question. 

In my example, I chose to focus my research on one area of Greece, where there were lots of temples to Hera. This meant skipping other important locations, but including these would have made the thesis too wide-ranging.

Create an outline and get feedback

Once you have an idea of what you are going to write about, create an outline or summary and get feedback from your teacher(s). It’s okay if you don’t know exactly how you’re going to answer your thesis question yet, but based on your research you should have a rough plan of the key points you want to cover. So, for me, the outline was as follows:

• Context: who was the goddess Hera?
• Overview of her sanctuaries in the Argive region
• Their initial development 
• Political and cultural influences
• The importance of the mythical past

In the final thesis, I took a strong view on why the goddess was so important in this region, but it took more research, writing, and discussion with my supervisor to pin down my argument.

To choose a thesis research topic, find something you’re passionate about, research widely to get the big picture, and then move to a more focused view. Bringing a fresh perspective to a popular theme, finding an underserved audience who could benefit from your research, or answering a controversial question can make your thesis stand out from the crowd.

For tips on how to start writing your thesis, don’t miss our advice on writing a great research abstract and a stellar literature review . And don’t forget that Wordtune can also support you with proofreading, making it even easier to submit a polished thesis.

How do you come up with a research topic for a thesis?

To help you find a thesis topic, speak to your professor, look through your old course notes, think about what you already enjoy in everyday life, talk about your field of study with friends and family, and research podcasts and videos to find a topic that is interesting for you. It’s a good idea to refine your topic so that it’s not too general or broad.  

Do you choose your own thesis topic?

Yes, you usually choose your own thesis topic. You can get help from your professor(s), friends, and family to figure out which research topic is interesting to you. 

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Summer 2024 NEH Humanities Initiatives Undergraduate Research Award Program

Daniel Rojas Lindsay E. Paul

Daniel Rojas

Dyson | Communication Studies

Faculty Mentor: Erica L. Johnson

Project Title: Sandy Archive

I am researching the effects that Hurricane Sandy had on lower Manhattan. For those interested in this project some things to understand would be the before and after effects that the city has dealt as a result of flooding. On the Digital Commons website at Pace University, students can find a section in the Dyson department called “Cultural Histories of Lower Manhattan: The Ground Beneath Our Feet” which will give insights about the history of lower Manhattan and give more nuance that students or researchers have not thought about before. It is important to reflect on the community or communities that we get ourselves involved in. The topic of a storm like Sandy is important to highlight because this event left a domino effect of climate change that we still see to this day. The catastrophe that was about to befall New York City was not anticipated. In addition to losing electricity, many New Yorkers were left without access to food, clean water, or medical care. Resulting in 44 resident deaths, 19 billion dollars in damages, and economic losses.

Therefore, I want to highlight the threat climate change poses to the city and how crucial it is to keep in mind that these damages are likely to occur soon if the city does not make the necessary investments to safeguard itself from floods in the future. There have been several projects to protect lower Manhattan in a U shape that constructs barriers that go above sea level and become more accessible for the public. The most damaged districts in lower Manhattan were those that had been reclaimed by landfills, as well as low-lying coastline locations like apartment complexes and local businesses. Large areas oflower Manhattan flooded, causing a long-lasting conversation on infrastructure.

In creating a witness account of the storm, I try to look for images using social media like Twitter or Instagram, that way we can see more real-life day-to-day events that took place. News channels have interviews with local businesses and people around neighborhoods that have shared their experiences. I would like people to get familiar with the threat that climate change poses on the city and how important it is to remember this disaster that parallels the near future if the city does not invest to protect itself from future floodings. Furthermore, I would like to highlight how different communities were affected, how the City did not provide enough resources, and the people having to use their good will to help those in need, the most vulnerable New Yorkers.The city as a whole depends very much on community and rehabilitation, as well as the residents who live and own small businesses. Without methods to address the risks that Sandy revealed in those areas climate change is probably going to make it worse in the future. New York City was not prepared for Hurricane Sandy and I wish for this research to reflect how communities come together to help rebuild and prosper.

Lindsay E. Paul

Dyson | Film & Screen Studies; English Language & Literature

Faculty Mentor: Kelley Kreitz

Project Title: Self-Published Women: How Anaïs Nin’s Personal Printing Press Popularized Feminist Writing in the United States

Female writers have been historically underrepresented in the Western literary canon because of a lack of resources and access to publishing. This has led to a lack of appreciation and understanding of feminine writing or the écriture féminine style which further perpetuates the gender biases evident in the literary world.

‘Écriture féminine’ is a term created by the French philosopher Hélène Cixous to identify a form of writing that is distinct from the male gaze. It identifies the female psyche and mode of storytelling as different from that of men. Anaïs Nin, a French-born American writer is an exemplar of the “women’s writing” genre. Throughout her life, she struggled to get her body of work published because the male dominated publishing industry did not find value in the strong feminine motifs present in her novels and diaries.

After moving to New York City in 1939, she made many attempts to have her work become published but was unsuccessful. Ultimately, she established her own printing press at 17 East 13th Street so that she could self publish her early works and earn recognition from other publishers. This would eventually bring her work to larger audiences and establish her as an important figure in the art world. The time she spent at her printing press in Lower Manhattan was vital to securing her place as a published author as well as legitimizing the écriture feminine form.

Through my research, I will understand and analyze how the location, time, and dedication involved with Anaïs Nin’s printing press changed the way female writing is comprehended in the Western literary canon today. I will achieve this research by accessing archival works, reaching out to interview feminist academics for perspective, and reading and analyzing the significance of independent printing presses.

My familiarity with the field of journalism and past research experiences in my academic work including “Subverting the Cinema Spectacle: Ideological Hypnosis and the Camera Obscura,” and “Female Friendship in Toni Morrison’s Sula ” will aid my approach to this research. I intend to write a research paper that synthesizes and explores the significance of Nin’s printing press within the context of literary history and how her time in Lower Manhattan benefited this history.

'ZDNET Recommends': What exactly does it mean?

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When you click through from our site to a retailer and buy a product or service, we may earn affiliate commissions. This helps support our work, but does not affect what we cover or how, and it does not affect the price you pay. Neither ZDNET nor the author are compensated for these independent reviews. Indeed, we follow strict guidelines that ensure our editorial content is never influenced by advertisers.

ZDNET's editorial team writes on behalf of you, our reader. Our goal is to deliver the most accurate information and the most knowledgeable advice possible in order to help you make smarter buying decisions on tech gear and a wide array of products and services. Our editors thoroughly review and fact-check every article to ensure that our content meets the highest standards. If we have made an error or published misleading information, we will correct or clarify the article. If you see inaccuracies in our content, please report the mistake via this form .

What is ChatGPT and why does it matter? Here's what you need to know

What is ChatGPT?

ChatGPT is an AI chatbot with natural language processing (NLP) that allows you to have human-like conversations to complete various tasks. The  generative AI  tool can answer questions and assist you with tasks such as composing emails, essays, code, and more.

Also :  How to use ChatGPT: What you need to know now

It's currently  open to use for free . A paid subscription version called ChatGPT Plus launched in February 2023 with access to priority access to OpenAI's latest models and updates.

Who made ChatGPT?

AI startup OpenAI launched ChatGPT on November 30, 2022. OpenAI has also developed  DALL-E 2  and DALL-E 3 , popular  AI image generators , and Whisper, an automatic speech recognition system. 

Who owns ChatGPT currently?

OpenAI owns ChatGPT. Microsoft is a major investor in OpenAI thanks to multiyear, multi-billion dollar  investments. Elon Musk was an investor when OpenAI was first founded in 2015, but has since completely severed ties with the startup and created his own AI chatbot, Grok .

How can you access ChatGPT?

On April 1, 2024, OpenAI stopped requiring you to log in to use ChatGPT. Now, you can access ChatGPT simply by visiting  chat.openai.com . You can also access ChatGPT  via an app on your iPhone  or  Android  device.

Once you visit the site, you can start chatting away with ChatGPT. A great way to get started is by asking a question, similar to what you would do with Google. You can ask as many questions as you'd like.

Also: ChatGPT no longer requires a login, but you might want one anyway. Here's why

There are still some perks to creating an OpenAI account, such saving and reviewing your chat history and accessing custom instructions. Creating an OpenAI account is entirely free and easy. You can even log in with your Google account.

For step-by-step instructions, check out ZDNET's guide on  how to start using ChatGPT . 

Is there a ChatGPT app?

Yes, an official ChatGPT app is available for both iPhone and Android users. 

Also: ChatGPT dropped a free app for iPhones. Does it live up to the hype?

Make sure to download OpenAI's app, as there are a plethora of copycat fake apps listed on Apple's App Store and the Google Play Store that are not affiliated with the startup.

Is ChatGPT available for free?

ChatGPT is free to use, regardless of what you use it for, including writing, coding, and much more. 

There is a subscription option , ChatGPT Plus, that users can take advantage of that costs $20/month. The paid subscription model guarantees users extra perks, such as priority access to GPT-4o and the latest upgrades. 

Also: ChatGPT vs ChatGPT Plus: Is it worth the subscription fee?

Although the subscription price may seem steep, it is the same amount as Microsoft Copilot Pro and Google One AI, Microsoft's and Google's premium AI offerings. 

The free version is still a solid option as it can access the same model and most of the same perks. One major exception: only subscribers get guaranteed access to GPT-4o when the model is at capacity. 

I tried using ChatGPT and it says it's at capacity. What does that mean?

The ChatGPT website operates using servers. When too many people hop onto these servers, they may overload and can't process your request. If this happens to you, you can visit the site later when fewer people are trying to access the tool. You can also keep the tab open and refresh it periodically. 

Also: The best AI chatbots

If you want to skip the wait and have reliable access, you can subscribe to  ChatGPT Plus  for general access during peak times, faster response times, and priority access to new features and improvements, including priority access to GPT-4o.

You can also try using Bing's AI chatbot, Copilot . This chatbot is free to use, runs on GPT-4, has no wait times, and can access the internet for more accurate information.

What is ChatGPT used for?

ChatGPT has many functions in addition to answering simple questions. ChatGPT can compose essays , have philosophical conversations, do math, and even code for you . 

The tasks ChatGPT can help with also don't have to be so ambitious. For example, my favorite use of ChatGPT is for help creating basic lists for chores, such as packing and grocery shopping, and to-do lists that make my daily life more productive. The possibilities are endless. 

ZDNET has published many ChatGPT how-to guides. Below are some of the most popular ones. 

Use ChatGPT to: 

• Write an essay
• Create an app
• Build your resume
• Write Excel formulas
• Summarize content
• Write a cover letter
• Start an Etsy business
• Create charts and tables
• Write Adruino drivers

Can ChatGPT generate images?

Yes, ChatGPT can generate images, but only for ChatGPT Plus subscribers. Since OpenAI discontinued DALL-E 2 in February 2024, the only way to access its most advanced AI image generator, DALL-E 3, through OpenAI's offerings is via its chatbot and ChatGPT Plus subscription.

Also: DALL-E adds new ways to edit and create AI-generated images. Learn how to use it

Microsoft's Copilot offers image generation, which is also powered by DALL-E 3, in its chatbot for free. This is a great alternative if you don't want to shell out the money for ChatGPT Plus.

How does ChatGPT work?

ChatGPT runs on a large language model (LLM) architecture created by OpenAI called the  Generative Pre-trained Transformer  (GPT). Since its launch, the free version of ChatGPT ran on a fine-tuned model in the GPT-3.5 series until May 2024, when the startup upgraded the model to GPT-4o. 

Also:   Here's a deep dive into how ChatGPT works  

With a subscription to ChatGPT Plus , you can access GPT-3.5, GPT-4, or  GPT-4o . Plus, users also have the added perk of priority access to GPT-4o, even when it is at capacity, while free users get booted down to GPT-3.5. 

Generative AI models of this type are trained on vast amounts of information from the internet, including websites, books, news articles, and more.

What does ChatGPT stand for?

As mentioned above, the last three letters in ChatGPT's namesake stand for Generative Pre-trained Transformer (GPT), a family of large language models created by OpenAI that uses deep learning to generate human-like, conversational text. 

Also: What does GPT stand for? Understanding GPT 3.5, GPT 4, GPT-4 Turbo, and more

The "Chat" part of the name is simply a callout to its chatting capabilities. 

Is ChatGPT better than a search engine?

ChatGPT is a language model created to converse with the end user. A search engine indexes web pages on the internet to help users find information. One is not better than the other, as each suit different purposes. 

When searching for as much up-to-date, accurate information as you can access, your best bet is a search engine. It will provide you with pages upon pages of sources you can peruse. 

Also: The best AI search engines of 2024: Google, Perplexity, and more

As of May, the free version of ChatGPT can get responses from both the GPT-4o model and the web. It will only pull its answer from, and ultimately list, a handful of sources, as opposed to showing nearly endless search results.

For example, I used GPT-4o to answer, "What is the weather today in San Francisco?" The response told me it searched four sites and provided links to them. 

If you are looking for a platform that can explain complex topics in an easy-to-understand manner, then ChatGPT might be what you want. If you want the best of both worlds, there are plenty of AI search engines on the market that combine both.

What are ChatGPT's limitations?

Despite its impressive capabilities, ChatGPT still has limitations. Users sometimes need to reword questions multiple times for ChatGPT to understand their intent. A bigger limitation is a lack of quality in responses, which can sometimes be plausible-sounding but are verbose or make no practical sense. 

Instead of asking for clarification on ambiguous questions, the model guesses what your question means, which can lead to poor responses. Generative AI models are also subject to hallucinations, which can result in inaccurate responses.

Does ChatGPT give wrong answers?

As mentioned above, ChatGPT, like all language models, has  limitations  and can give nonsensical answers and incorrect information, so it's important to double-check the data it gives you.

Also: 8 ways to reduce ChatGPT hallucinations

OpenAI recommends that you provide feedback on what ChatGPT generates by using the thumbs-up and thumbs-down buttons to improve its underlying model. You can even join the startup's Bug Bounty program , which offers up to $20,000 for reporting security bugs and safety issues.

Can ChatGPT refuse to answer my prompts?

AI systems like ChatGPT can and do reject  inappropriate requests . The AI assistant can identify inappropriate submissions to prevent the generation of unsafe content.

Also:  6 things ChatGPT can't do (and another 20 it refuses to do)

These submissions include questions that violate someone's rights, are offensive, are discriminatory, or involve illegal activities. The ChatGPT model can also challenge incorrect premises, answer follow-up questions, and even admit mistakes when you point them out.

These guardrails are important. AI models can generate advanced, realistic content that can be exploited by bad actors for harm, such as spreading misinformation about public figures and influencing elections .

Can I chat with ChatGPT?

Although some people use ChatGPT for elaborate functions, such as writing code or even malware , you can use ChatGPT for more mundane activities, such as having a friendly conversation. 

Also:  Do you like asking ChatGPT questions? You could get paid (a lot) for it

Some conversation starters could be as simple as, "I am hungry, what food should I get?" or as elaborate as, "What do you think happens in the afterlife?" Either way, ChatGPT is sure to have an answer for you. 

Is ChatGPT safe?

People are expressing concerns about AI chatbots replacing or atrophying human intelligence. For example, a chatbot can write an article on any topic efficiently (though not necessarily accurately) within seconds, potentially eliminating the need for human writers.

Chatbots can also write an entire essay within seconds, making it easier for students to cheat or avoid learning how to write properly. This even led  some school districts to block access  when ChatGPT initially launched. 

Also:  Generative AI can be the academic assistant an underserved student needs

Now, not only have many of those schools decided to unblock the technology, but some higher education institutions have been  catering their academic offerings  to AI-related coursework. 

Another concern with AI chatbots is the possible spread of misinformation. ChatGPT itself says: "My responses are not intended to be taken as fact, and I always encourage people to verify any information they receive from me or any other source." OpenAI also notes that ChatGPT sometimes writes "plausible-sounding but incorrect or nonsensical answers."

Also:  Microsoft and OpenAI detect and disrupt nation-state cyber threats that use AI, report shows

Lastly, there are ethical concerns regarding the information ChatGPT was trained on, since the startup scraped the internet to train the chatbot. 

It also automatically uses people's interactions with the free version of the chatbot to further train its models, raising privacy concerns. OpenAI lets you turn off training in ChatGPT's settings.

Does ChatGPT plagiarize?

Yes, sort of. OpenAI scraped the internet to train ChatGPT. Therefore, the technology's knowledge is influenced by other people's work. Since there is no guarantee that when OpenAI outputs its answers it is entirely original, the chatbot may regurgitate someone else's work in your answer, which is considered plagiarism. 

Is there a ChatGPT detector?

Concerns about students using AI to cheat mean the need for a ChatGPT text detector is becoming more evident. 

In January 2023, OpenAI released a free tool to target this problem. Unfortunately, OpenAI's "classifier" tool could only correctly identify 26% of AI-written text with a "likely AI-written" designation. Furthermore, it provided false positives 9% of the time, incorrectly identifying human-written work as AI-produced. 

The tool performed so poorly  that, six months after being released, OpenAI it shut down "due to its low rate of accuracy." Despite the tool's failure, the startup claims to be researching more effective techniques for AI text identification.

Also: OpenAI unveils text-to-video model and the results are astonishing

Other AI detectors exist on the market, including GPT-2 Output Detector ,  Writer AI Content Detector , and Content at Scale's AI Content Detection  tool. ZDNET put these tools to the test, and the results were underwhelming: all three were found to be unreliable sources for spotting AI, repeatedly giving false negatives. Here are  ZDNET's full test results .

What are the common signs something was written by ChatGPT?

Although tools aren't sufficient for detecting ChatGPT-generated writing, a  study  shows that humans could detect AI-written text by looking for politeness. The study's results indicate that  ChatGPT's writing style is extremely polite . And unlike humans, it cannot produce responses that include metaphors, irony, or sarcasm.

Will my conversations with ChatGPT be used for training?

One of the major risks when using generative AI models is that they become more intelligent by being trained on user inputs. Therefore, when familiarizing yourself with how to use ChatGPT, you might wonder if your specific conversations will be used for training and, if so, who can view your chats.

Also:  This ChatGPT update fixed one of my biggest productivity issues with the AI chatbot

OpenAI will use your conversations with the free chatbot to automatically training data to refine its models. You can opt out of the startup using your data for model training by clicking on the question mark in the bottom left-hand corner, Settings, and turning off "Improve the model for everyone."

What is GPT-4?

GPT-4 is OpenAI's language model that is much more advanced than its predecessor, GPT-3.5. Users can access GPT-4 by subscribing to ChatGPT Plus for $20 per month or using Microsoft's Copilot.

Also: What does GPT stand for? Understanding GPT-3.5, GPT-4, and more

GPT-4 has advanced intellectual capabilities, meaning it outperforms GPT-3.5 in a series of simulated benchmark exams. The newer model also supposedly produces fewer hallucinations. 

What is GPT-4o?

GPT-4o is OpenAI's latest, fastest, and most advanced flagship model. As the name implies, it has the same intelligence as GPT-4. However, the "o" in the title stands for "omni," referring to its multimodal capabilities, which allow it to understand text, audio, image, and video inputs and output text, audio, and image outputs. 

Also:  6 ways OpenAI just supercharged ChatGPT for free users

The model is 50% cheaper in the API than GPT-4 Turbo while still matching its English and coding capabilities and outperforming it in non-English languages, vision, and audio understanding -- a big win for developers.

Are there alternatives to ChatGPT worth considering?

Although ChatGPT gets the most buzz, other options are just as good -- and might even be better suited to your needs. ZDNET has created a list of the best chatbots, which have all been tested by us and show which tool is best for your requirements. 

Also: 4 things Claude AI can do that ChatGPT can't

Despite ChatGPT's extensive abilities, there are major downsides to the AI chatbot. If you want to try the technology, there are plenty of other options: Copilot , Claude , Perplexity ,  Jasper , and more.  

Is ChatGPT smart enough to pass benchmark exams?

Yes, ChatGPT is capable of passing a series of benchmark exams. A professor at Wharton, the University of Pennsylvania's business school, used ChatGPT to take an MBA exam and the results were quite impressive. 

ChatGPT not only passed the exam, but the tool scored between a B- and a B. The professor, Christian Terwiesch, was impressed at its basic operations management, process analysis questions, and explanations.

OpenAI also tested the chatbot's ability to pass benchmark exams. Although ChatGPT could pass many of these benchmark exams, its scores were usually in the lower percentile. However, with GPT-4, ChatGPT can score much higher.

For example, ChatGPT using GPT-3.5 scored in the lower 10th percentile of a simulated Bar Exam, while GPT-4 scored in the top 10th percentile. You can see more examples from OpenAI in the chart below.

Can ChatGPT be used for job application assistance?

Yes, ChatGPT is a great resource to help with job applications. Undertaking a job search can be tedious and difficult, and ChatGPT can help you lighten the load. ChatGPT can build your resume  and write a cover letter .

Also :  How to use ChatGPT to write an essay

If your application has any written supplements, you can use ChatGPT to help you write those essays or personal statements . 

What are the most common ChatGPT plugins, and how do I use them?

Plugins allowed ChatGPT to connect to third-party applications, including access to real-time information on the web. The plugins expanded ChatGPT's abilities , allowing it to assist with many more activities, such as planning a trip or finding a place to eat. 

Also:  My two favorite ChatGPT Plus features and the remarkable things I can do with them

On March 19, 2024, however, OpenAI stopped allowing users to install new plugins or start new conversations with existing ones. Instead, OpenAI replaced plugins with GPTs , which are easier for developers to build. 

Users can find 3 million ChatGPT chatbots, also known as GPTs, on the GPT store. Unfortunately, there is also a lot of spam in the GPT store.

What is Microsoft's involvement with ChatGPT?

Microsoft was an early investor in OpenAI, the AI startup behind ChatGPT, long before ChatGPT was released to the public. Microsoft's first involvement with OpenAI was in 2019, when the company invested $1 billion, and then another $2 billion in the years after. In January 2023, Microsoft extended its partnership with OpenAI through a multiyear, multi-billion dollar investment .

Also: ChatGPT vs. Copilot: Which AI chatbot is better for you?

 Neither company disclosed the investment value, but unnamed sources told Bloomberg that it could total $10 billion over multiple years. In return, OpenAI's exclusive cloud-computing provider is Microsoft Azure, powering all OpenAI workloads across research, products, and API services.

Microsoft has also used its OpenAI partnership to revamp its Bing search engine and improve its browser. 

On February 7, 2023, Microsoft unveiled a new Bing tool , now known as Copilot, that runs on OpenAI's GPT-4, customized specifically for search.

What does Copilot (formerly Bing Chat) have to do with ChatGPT?

In February 2023,  Microsoft unveiled  a new version of Bing -- and its standout feature was its integration with ChatGPT. When it was announced, Microsoft shared that Bing Chat, now Copilot, was powered by a next-generation version of OpenAI's large language model, making it "more powerful than ChatGPT." Five weeks after the launch, Microsoft revealed that Copilot had been running on GPT-4 before the model had even launched. 

How does Copilot compare to ChatGPT?

Copilot uses OpenAI's GPT-4, which means that since its launch, it has been more efficient and capable than the standard, free version of ChatGPT. At the time, Copilot boasted several other features over ChatGPT, such as access to the internet, knowledge of current information, and footnotes.

In May 2024, however, OpenAI supercharged the free version of its chatbot with GPT-4o. The upgrade gave users GPT-4 level intelligence, the ability to get responses from the web via ChatGPT Browse with Bing, analyze data, chat about photos and documents, use GPTs, access the GPT Store, and Voice Mode. Therefore, after the upgrade, ChatGPT reclaimed its crown as the best AI chatbot. 

What is Gemini and how does it relate to ChatGPT?

Gemini is Google's AI chat service, a rival to ChatGPT. On February 6, 2023, Google introduced its experimental AI chat service, which was then called Google Bard. Over a month after the announcement, Google began rolling out  access to Bard first via a waitlist . Now, it is available to the general public. 

Artificial Intelligence

How to use chatgpt (and how to access gpt-4o), what does gpt stand for understanding gpt-3.5, gpt-4, gpt-4o, and more, chatgpt vs. chatgpt plus: is a paid subscription still worth it.

• Arts , 
• Heritage & Cultural , 
• Storytelling

Making Space, Taking Space: A Reading of Work from San Diego Writers, Ink's Asian American Pacific Islander (AAPI) Writing Workshop

Culturally and historically, AAPI writers have been silenced, whether from collectivism to governmental exclusion and incarceration. No more. Making Space, Taking Space is a public reading of work from San Diego Writers, Ink’s AAPI Writing Workshop, facilitated by playwright Thelma Virata de Castro. The reading, featuring multiple genres and perspectives, will take place at the Point Loma/Hervey Library on May 26, 2024, in commemoration of AAPI Heritage month. A panel discussion with the writers and workshop facilitator regarding their processes, themes, and challenges will follow the reading. The event will serve as a gathering place for artistic, cultural, historical, and literary groups and non-profits to network with the writers and share resources for future research and writing.

Schedule: - 1:30 p.m. Reception - 2:00 p.m. Reading - 3:30 p.m. Panel

Parking: 109 parking spaces

Public Transportation: Bus Route 923

This project was made possible with support from California Humanities, a non-profit partner of the National Endowment for the Humanities. Visit www.calhum.org

For more information visit: writeyourstorynow.org

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Artist group info, point loma/hervey branch library.

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