what does research topic mean

How to Identify and Develop a Topic: .

How to identify and develop a topic.

It is difficult to define a topic with much specificity before starting your research. But until you define your topic, you won't know where to begin your search for information and you won't know what to look for. With a well-defined topic, you can focus your search strategies to find lots of relevant information without also finding a lot of useless stuff.

Selecting a topic to research is not a one-step task. Identifying and developing your topic is an ongoing process that does not end until you have finished your research project. Start with an idea you are interested in. Find and read some background information to get a better understanding of the topic, then use what you have learned to search for more specific information. Refine (broaden, narrow, refocus, or change) your topic, and try another search.  

Find a Topic

If you weren't assigned a specific topic and can't think of one:

• talk with your class instructor (who is, after all, the reason you are doing this project in the first place)
• find something interesting in the course reading assignments
• look at the entries and index of a subject encyclopedia
• ask a librarian to help you figure out a topic  

Narrow Your Topic

The initial idea for a research topic is often too broad. If your first searches for resources are so general that you find more information than you can click a mouse at or deal with in a reasonable amount of time (i.e. before the research project is due), focus on one of the following:

• a specific period of time
• a specific geographic location
• specific individuals or groups
• a specific aspect of the subject
• the viewpoint of a specific discipline  

Make it a Question

It is often helpful to state your topic in the form of a question. Treat the research project as an attempt to find a specific answer for a specific question.  

List Main Concepts

Pull out ideas and key terms that describe your topic. You can get a better idea of these by looking up your topic in an encyclopedia or other appropriate reference work. This will give you a better understanding of your topic, which will help you figure out what sources you will need and where you will need to look to find them.  

Analyze Your Topic

Where should you look for information? From what subject or discipline perspective are you looking at this topic? Do you need scholarly or popular sources? Will you need books, articles, sound recordings, primary sources, etc.?  

Select Appropriate Tools

Which tools do you need to find the type of information you want, (e.g. the library catalog for books, subject specific indexes for journal articles, etc.) See the library's guide to How to Find and Evaluate Sources for more.  

Initial Results

After you do an initial search, you can tell some things just from the number and type of sources you find. If you get a million or so hits, you probably need to narrow your topic. If you get only a few, broaden it. If the hits seem to be irrelevant to your topic, search using different terms. Do another search and see if you get what seems to be an appropriate amount of appropriate sources. Keep refining your search until you are satisfied with your results. Then go read them.  

After reading through some of the sources you find, you will get a better understanding of the topic you are researching. With this better understanding, you can revise your initial topic and its corresponding question for which you are so diligently seeking an answer. You can also refine your search strategy: the databases you search in, the keywords or subject terms you search for, etc. Go back and try another search using your revisions. Repeat as necessary until you have done enough research to know what to ask and how to answer it.

• Last Updated: Oct 20, 2020 8:13 PM
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Research Process

• Brainstorming
• Explore Google This link opens in a new window
• Explore Web Resources
• Explore Background Information
• Explore Books
• Explore Scholarly Articles
• Narrowing a Topic
• Primary and Secondary Resources
• Academic, Popular & Trade Publications
• Scholarly and Peer-Reviewed Journals
• Grey Literature
• Clinical Trials
• Evidence Based Treatment
• Scholarly Research
• Database Research Log
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• Website Evaluation
• Article Keywords and Subject Terms
• Cited References
• Citing Articles
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• Search Within Publication
• Database Alerts & RSS Feeds
• Personal Database Accounts
• Persistent URLs
• Literature Gap and Future Research
• Web of Knowledge
• Annual Reviews
• Systematic Reviews & Meta-Analyses
• Finding Seminal Works
• Exhausting the Literature
• Finding Dissertations
• Researching Theoretical Frameworks
• Research Methodology & Design
• Tests and Measurements
• Organizing Research & Citations This link opens in a new window
• Scholarly Publication
• Learn the Library This link opens in a new window

Finding a Research Topic

Which step of the research process takes the most time?

A. Finding a topic B. Researching a topic C. Both

How did you answer the above question? Do you spend most of your efforts actually researching a topic, or do you spend a lot of time and energy finding a topic? Ideally, you’ll want to spend fairly equal amounts of effort on both. Finding an appropriate and manageable topic can sometimes be just as hard as researching a topic.

A good research topic will have a body of related research which is accessible and manageable. Identifying a topic with these characteristics at the beginning  of the research process will ultimately save you time.

Finding a research topic that is interesting, relevant, feasible, and worthy of your time may take substantial effort so you should be prepared to invest your time accordingly. Considering your options, doing some background work on each option, and ultimately settling on a topic that is manageable will spare you many of the frustrations that come from attempting research on a topic that, for whatever reason, may not be appropriate.

Remember that as you are searching for a research topic you will need to be able to find enough information about your topic(s) in a book or scholarly journal. If you can only find information about your topic(s) in current event sources (newspapers, magazines, etc.) then the topic might be too new to have a large body of published scholarly information. If this is the case, you may want to reconsider the topic(s).

So how do you find a research topic? Unfortunately there’s no directory of topics that you pick and choose from, but there are a few relatively easy techniques that you can use to find a relevant and manageable topic. A good starting point may be to view the Library's Resources for Finding a Research Topic Workshop below.

The sub-pages in this section (on the left-hand menu) offer various tips for where and how to locate resources to develop your research topic. And for additional information on selecting a research topic, see the resources below.

• Defining a Topic - SAGE Research Methods
• Develop My Research Idea - Academic Writer Note: You MUST create an Academic Writer account AND start a paper in order to access this tool. Once you have done so, open a paper and click Research Lab Book in the left navigation menu.
• The Process for Developing Questions - ASC Guide

Resources for Finding a Research Topic Workshop

This workshop will introduce you to library resources which can be used to locate potential topics for a research paper or dissertation. This workshop explores websites, reference books, and scholarly articles, as well as review criteria to consider when selecting a topic.

• Resources for Finding a Research Topic Workshop Outline

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Research Process Guide

• Step 1 - Identifying and Developing a Topic
• Step 2 - Narrowing Your Topic
• Step 3 - Developing Research Questions
• Step 4 - Conducting a Literature Review
• Step 5 - Choosing a Conceptual or Theoretical Framework
• Step 6 - Determining Research Methodology
• Step 6a - Determining Research Methodology - Quantitative Research Methods
• Step 6b - Determining Research Methodology - Qualitative Design
• Step 7 - Considering Ethical Issues in Research with Human Subjects - Institutional Review Board (IRB)
• Step 8 - Collecting Data
• Step 9 - Analyzing Data
• Step 10 - Interpreting Results
• Step 11 - Writing Up Results

Step 1: Identifying and Developing a Topic

Whatever your field or discipline, the best advice to give on identifying a research topic is to choose something that you find really interesting. You will be spending an enormous amount of time with your topic, you need to be invested. Over the course of your research design, proposal and actually conducting your study, you may feel like you are really tired of your topic, however,  your interest and investment in the topic will help you persist through dissertation defense. Identifying a research topic can be challenging. Most of the research that has been completed on the process of conducting research fails to examine the preliminary stages of the interactive and self-reflective process of identifying a research topic (Wintersberger & Saunders, 2020).  You may choose a topic at the beginning of the process, and through exploring the research that has already been done, one’s own interests that are narrowed or expanded in scope, the topic will change over time (Dwarkadas & Lin, 2019). Where do I begin? According to the research, there are generally two paths to exploring your research topic, creative path and the rational path (Saunders et al., 2019).  The rational path takes a linear path and deals with questions we need to ask ourselves like: what are some timely topics in my field in the media right now?; what strengths do I bring to the research?; what are the gaps in the research about the area of research interest? (Saunders et al., 2019; Wintersberger & Saunders, 2020).The creative path is less linear in that it may include keeping a notebook of ideas based on discussion in coursework or with your peers in the field. Whichever path you take, you will inevitably have to narrow your more generalized ideas down. A great way to do that is to continue reading the literature about and around your topic looking for gaps that could be explored. Also, try engaging in meaningful discussions with experts in your field to get their take on your research ideas (Saunders et al., 2019; Wintersberger & Saunders, 2020). It is important to remember that a research topic should be (Dwarkadas & Lin, 2019; Saunders et al., 2019; Wintersberger & Saunders, 2020):

• Interesting to you.
• Realistic in that it can be completed in an appropriate amount of time.
• Relevant to your program or field of study.
• Not widely researched.

Dwarkadas, S., & Lin, M. C. (2019, August 04). Finding a research topic. Computing Research Association for Women, Portland State University. https://cra.org/cra-wp/wp-content/uploads/sites/8/2019/04/FindingResearchTopic/2019.pdf

Saunders, M. N. K., Lewis, P., & Thornhill, A. (2019). Research methods for business students (8th ed.). Pearson.

Wintersberger, D., & Saunders, M. (2020). Formulating and clarifying the research topic: Insights and a guide for the production management research community. Production, 30 . https://doi.org/10.1590/0103-6513.20200059

• Last Updated: Jun 29, 2023 1:35 PM
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• The Research Process
• 1. Define Your Topic
• 2. Gather Background Information
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• 6. Evaluate Your Sources
• 7. Cite Your Sources

The Research Process is a nonlinear process, meaning you may have to revisit steps once or twice during your research to get the best results.

If you are having trouble defining your topic, you might benefit from looking into several topics before choosing or narrowing down your scope for one.

Gathering background information from reference sources on a broader idea, subject, etc. may spark your curiosity or interest to further explore it.

Choose a Topic

• Are there any specific guidelines to follow?
• What are some of the current trends or issues in this area? 

To find a topic of interest to you, you may want to consult:

• Course materials (Textbook, handouts, etc.)
• Instructor and/or peers
• Personal interests

BE CURIOUS! Whatever topic you decide to focus on should be something your excited to learn more about.

Narrow Your Topic

Be sure that your topic is of an appropriate size for your assignment. 

You could write a whole book on the cognitive behavioral therapy (CBT), so narrowing your topic will help you help keep your research and writing manageable. 

Any easy way to narrow your topic is to ask yourself some questions:

What?  Think about the topic from different viewpoints (historically, socially, medically, legally, ethically, etc.)  Do you want to focus on the history of CBT or on the effectiveness  of CBT?

Who?  Think about individuals but also groups of people or population.   Do you want to focus on CBT's use with children? With adolescents? 

Where?  Think about location, environment, and setting.  Do you want to look at how it's been used in group therapy? In schools? In the United States? 

When? Think about time period and/or after a specific event or milestone. Do you want to explore using CBT after a patient has a experienced trauma? Or do you want to explore the use of CBT in the last ten years?

Construct a Research Question

Once you've narrowed your topic by answering some of the questions above, it's good to formulate a research question to help guide your research and possibly generate a thesis statement.

• Start by using "how," "what," or "why."
• Incorporate the limiters (population, location, time, etc.) you outlined when narrowing your topic.

Some examples:

   How effective is the use of cognitive behavioral therapy to treat depression in group therapy with adults?

   What ethical implications might arise when using cognitive behavior therapy as a guidance counselor for elementary school children?

   Why has cognitive behavioral therapy become the preferred method for treating Iraq veterans with PTSD over psychotherapy?

• Research Question Generator Tool from the University of Michigan Libraries that guides users through the formulation of a research question.
• Research Question Generator Worksheet A worksheet from the ACRL, UConn, and the University of Michigan libraries.
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How to Write a Research Paper: Defining Your Topic

• Getting Started
• Defining Your Topic
• Finding Background Information
• Creating a Thesis Statement
• Developing an Outline for Your paper
• Writing the Paper
• Editing and Revising the Paper
• Writing Style Guides and Citing Sources
• Annotated Bibliographies

Defining a Topic

Defining your topic is a multi-part process.

• First, choose your topic . If a specific topic is not assigned to you, you might get ideas for a topic from your course text, class notes, or class discussions, or by exploring some of the library's databases.  
• Remain flexible .  You may wish to change or alter your research topic depending on what you uncover in your research.  For instance, if you find too little information on a topic, you may wish to broaden your topic.  If you find too much information on a topic, you may wish to narrow your topic.  Or, if you find information you were not expecting, you may even want to alter your topic entirely. 
• If you do not know very much about your topic, find background information or an overview of the subject matter , then you can narrow it down as needed. Keep in mind that depending on your subject matter, you might need to broaden or refine your topic a bit.
• Print Encyclopedias There are general ones that can be found in the library such as Encyclopedia Americana that cover a broad subject range or more subject-specific ones such as The New Grove Dictionary of Music and Musicians .
• Online Encyclopedias The library also subscribes to a number of online encyclopedia databases such as Gale Virtual Reference Library, and Sage eReference  These databases, contain a wealth of background information on a wide variety of topics and can be easily searched through names, topics, and keywords. 
• Issues & Controversies and CQ Researcher These two databases contain information on current social issues and hot topics through multiple points of view.  They provide excellent background on these topics

Remote Access to the Databases

The databases listed in this Research Guide are available only to Truckee Meadows Community College students, faculty and staff.  You will need your TMCC credentials (Username and Password) to access them off-campus.

• Use these sources to identify keywords, synonyms, and related concepts . You can use these terms to begin searching in the library catalog for books, in databases for articles, and even Google or another search engine to find information on the Web.

--Modified from Morton College Library's Guide to Writing a Research Paper

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Selecting a Research Topic: Refine your topic

• Refine your topic
• Background information & facts

Narrow your topic's scope

Too much information?  Make your results list more manageable.  Less, but more relevant, information is key.  Here are some options to consider when narrowing the scope of your paper:

• Theoretical approach :  Limit your topic to a particular approach to the issue.  For example, if your topic concerns cloning, examine the theories surrounding of the high rate of failures in animal cloning.
• Aspect or sub-area :  Consider only one piece of the subject.  For example, if your topic is human cloning, investigate government regulation of cloning.
• Time :  Limit the time span you examine.  For example, on a topic in genetics, contrast public attitudes in the 1950's versus the 1990's.
• Population group :  Limit by age, sex, race, occupation, species or ethnic group.  For example, on a topic in genetics, examine specific traits as they affect women over 40 years of age.
• Geographical location :  A geographic analysis can provide a useful means to examine an issue.   For example, if your topic concerns cloning, investigate cloning practices in Europe or the Middle East.

Broaden your topic

Not finding enough information?  Think of related ideas, or read some background information first.  You may not be finding enough information for several reasons, including:

• Your topic is too specific .  Generalize what you are looking for. For example: if your topic is genetic diversity for a specific ethnic group in Ghana, Africa, broaden your topic by generalizing to all ethnic groups in Ghana or in West Africa.
• Your topic is too new for anything substantive to have been written.  If you're researching a recently breaking news event, you are likely to only find information about it in the news media. Be sure to search databases that contain articles from newspapers. If you are not finding enough in the news media, consider changing your topic to one that has been covered more extensively.
• You have not checked enough databases for information .  Search Our Collections to find other databases in your subject area which might cover the topic from a different perspective. Also, use excellent searching techniques to ensure you are getting the most out of every database.
• You are using less common words or too much jargon to describe your topic.  Use a thesaurus to find other terms to represent your topic. When reading background information, note how your topic is expressed in these materials. When you find citations in an article database, see how the topic is expressed by experts in the field.

Once you have a solid topic, formulate your research question or hypothesis and begin finding information.

If you need guidance with topic formulation, Ask Us !  Library staff are happy to help you focus your ideas.

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• Write Your Paper
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STEP 1: Define Your Topic

Think about Search Terms

Use your background information to think of appropriate search terms. Brainstorm every possible search term for your topic.Try to think of synonyms and related words for each keyword to help broaden or narrow your search.

Look at your topic. For example: ‘Are Canadian youth politically engaged?’ The keywords in this topic would be Canadian , youth , and political engagement .

These keywords can become:

• Canadian → Canada
• Youth → "young people", "young adults", or adolescents
• "Political engagement" → vote, voting, politics, elections, or "political participation"

Example: Brainstorming Search Terms

My research question was ‘Can alternative energy sources help stop global warming?’

For this question, the keywords would be alternative energy sources, and global warming. So, some search terms could be:

• global warming → climate change, temperature change, greenhouse effect
• alternative energy sources → sustainable energy, renewable energy source, alternative fuels or environmental technology

1. Background Research

• Do some background reading to understand more about the topic.
• Is there a current book or article that gives you are good overview of the topic? 
• You can use Wikipedia  for ideas, keywords for your search and important dates and issues, but do not use it as a source in your final paper, as is not an academic source. It can also include errors, so be careful. 
• Try a test search of the library's resources to see what kind of results you get. If the topic is too general, you may need to narrow it down; if it is too specific, you may need to expand your search. 
• You can also do a test search of the internet using Google. 
• Keep in mind that what you will find through the AC Library is mostly subscription based and will include content not available for free on the internet.  

Example: Picking a Subject

My assignment:.

Write a research report on a topic of your choice

My subject ideas:

• I am interested in environmental issues.
• I have read about global warming, but what are the causes?
• I wonder, what are some possible solutions?
• Why is it such a complicated problem and what are some of the issues that are debated by scientists?
• Is technology the solution to global warming? Or are changes in our behaviour the solution?

My broad topic for the assignment is ‘Global Warming’.

My research to narrow my topic:

• I got a good overview of the topic.
• I discovered areas of the topic that interest me and that I might want to focus on, such as the causes of global warming and the possible responses to it.
• I searched for for ‘Global warming’ in Page 1+ .
• I got too many results, because my topic is too general.
• I can find suggestions of subjects on the left side of the page, which I can use to make my subject more specific.
• In the next step, I will use what I have learned to refine my topic.

2. Refine Your Topic

Narrowing your subject to a more specific topic takes a bit of research and thought.

Here are some ideas to help you narrow your topic:

• Talk to a friend to get ideas. They may give you ideas that didn't occur to you.
• Brainstorm - think about or write down what you know about the topic. Use these as terms for your test searches. 

Use these questions:

• WHY did you choose the topic? What interests you about it?  Do you have an opinion about the issues involved?
• WHO are the information providers on this topic?  Who might publish information about it?  Who is affected by the topic? Do you know of organizations or institutions affiliated with the topic?
• WHAT are the major questions for this topic?  Is there a debate about the topic?  Are there a range of issues and viewpoints to consider?
• WHERE is your topic important: at the local, national or international level?  Are there specific places affected by the topic?
• WHEN is/was your topic important? Is it a current event or an historical issue?  Do you want to compare your topic by time periods?

(Content reproduced from MIT.edu under a Creative Commons Attribution Non-Commercial License )

• Turn your topic into a question. You will be trying to answer this question with your research. Think about something you would like to try to prove or argue.
• Make sure to pick a topic that will have enough information available. Do a preliminary search to see if there is enough information about your topic.

Example: Refining Your Topic

The subject we chose in the earlier step is ‘global warming.’ This subject is a very broad topic with many different aspects you could research. We will use the techniques above to narrow our subject to a research topic.

• Why: I am interested in environmental issues, and I am interested in how technology can be used to improve things in the future.
• Who: Many environmental journals have published research on this topic. Also, organizations such as the Intergovernmental Panel on Climate Change (IPCC) and the United Nations Environment Programme publish reports on the topic.
• Which types of energy sources are best for the environment?
• Are they feasible?
• How much will they cost?
• What are the potential positive or negative effects?
• Where: This issue is important for everyone, both on local levels and on a global level.
• When: This is a current issue; it is very important today and for the future. I would like for this paper to be more future-focused.
• From these answers, I came up with possible topics, such as ‘the causes of global warming’ ‘technological solutions to global warming’, or ‘what effect does global warming have on business?’ or ‘scientific debate about global warming’
• I turned my topic into a question: ‘Can alternative energy sources help stop global warming?’
• I made sure my topic has enough information available. A quick search of library resources shows over 7,000 results related to my question.

Sample research question: Can alternative energy sources help stop global warming?

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What (Exactly) Is A Research Proposal?

A simple explainer with examples + free template.

By: Derek Jansen (MBA) | Reviewed By: Dr Eunice Rautenbach | June 2020 (Updated April 2023)

Whether you’re nearing the end of your degree and your dissertation is on the horizon, or you’re planning to apply for a PhD program, chances are you’ll need to craft a convincing research proposal . If you’re on this page, you’re probably unsure exactly what the research proposal is all about. Well, you’ve come to the right place.

Overview: Research Proposal Basics

• What a research proposal is
• What a research proposal needs to cover
• How to structure your research proposal
• Example /sample proposals
• Proposal writing FAQs
• Key takeaways & additional resources

What is a research proposal?

Simply put, a research proposal is a structured, formal document that explains what you plan to research (your research topic), why it’s worth researching (your justification), and how  you plan to investigate it (your methodology). 

The purpose of the research proposal (its job, so to speak) is to convince  your research supervisor, committee or university that your research is  suitable  (for the requirements of the degree program) and  manageable  (given the time and resource constraints you will face). 

The most important word here is “ convince ” – in other words, your research proposal needs to  sell  your research idea (to whoever is going to approve it). If it doesn’t convince them (of its suitability and manageability), you’ll need to revise and resubmit . This will cost you valuable time, which will either delay the start of your research or eat into its time allowance (which is bad news). 

What goes into a research proposal?

A good dissertation or thesis proposal needs to cover the “ what “, “ why ” and” how ” of the proposed study. Let’s look at each of these attributes in a little more detail:

Your proposal needs to clearly articulate your research topic . This needs to be specific and unambiguous . Your research topic should make it clear exactly what you plan to research and in what context. Here’s an example of a well-articulated research topic:

An investigation into the factors which impact female Generation Y consumer’s likelihood to promote a specific makeup brand to their peers: a British context

As you can see, this topic is extremely clear. From this one line we can see exactly:

• What’s being investigated – factors that make people promote or advocate for a brand of a specific makeup brand
• Who it involves – female Gen-Y consumers
• In what context – the United Kingdom

So, make sure that your research proposal provides a detailed explanation of your research topic . If possible, also briefly outline your research aims and objectives , and perhaps even your research questions (although in some cases you’ll only develop these at a later stage). Needless to say, don’t start writing your proposal until you have a clear topic in mind , or you’ll end up waffling and your research proposal will suffer as a result of this.

Need a helping hand?

As we touched on earlier, it’s not good enough to simply propose a research topic – you need to justify why your topic is original . In other words, what makes it  unique ? What gap in the current literature does it fill? If it’s simply a rehash of the existing research, it’s probably not going to get approval – it needs to be fresh.

But,  originality  alone is not enough. Once you’ve ticked that box, you also need to justify why your proposed topic is  important . In other words, what value will it add to the world if you achieve your research aims?

As an example, let’s look at the sample research topic we mentioned earlier (factors impacting brand advocacy). In this case, if the research could uncover relevant factors, these findings would be very useful to marketers in the cosmetics industry, and would, therefore, have commercial value . That is a clear justification for the research.

So, when you’re crafting your research proposal, remember that it’s not enough for a topic to simply be unique. It needs to be useful and value-creating – and you need to convey that value in your proposal. If you’re struggling to find a research topic that makes the cut, watch  our video covering how to find a research topic .

It’s all good and well to have a great topic that’s original and valuable, but you’re not going to convince anyone to approve it without discussing the practicalities – in other words:

• How will you actually undertake your research (i.e., your methodology)?
• Is your research methodology appropriate given your research aims?
• Is your approach manageable given your constraints (time, money, etc.)?

While it’s generally not expected that you’ll have a fully fleshed-out methodology at the proposal stage, you’ll likely still need to provide a high-level overview of your research methodology . Here are some important questions you’ll need to address in your research proposal:

• Will you take a qualitative , quantitative or mixed -method approach?
• What sampling strategy will you adopt?
• How will you collect your data (e.g., interviews, surveys, etc)?
• How will you analyse your data (e.g., descriptive and inferential statistics , content analysis, discourse analysis, etc, .)?
• What potential limitations will your methodology carry?

So, be sure to give some thought to the practicalities of your research and have at least a basic methodological plan before you start writing up your proposal. If this all sounds rather intimidating, the video below provides a good introduction to research methodology and the key choices you’ll need to make.

How To Structure A Research Proposal

Now that we’ve covered the key points that need to be addressed in a proposal, you may be wondering, “ But how is a research proposal structured? “.

While the exact structure and format required for a research proposal differs from university to university, there are four “essential ingredients” that commonly make up the structure of a research proposal:

• A rich introduction and background to the proposed research
• An initial literature review covering the existing research
• An overview of the proposed research methodology
• A discussion regarding the practicalities (project plans, timelines, etc.)

In the video below, we unpack each of these four sections, step by step.

Research Proposal Examples/Samples

In the video below, we provide a detailed walkthrough of two successful research proposals (Master’s and PhD-level), as well as our popular free proposal template.

Proposal Writing FAQs

How long should a research proposal be.

This varies tremendously, depending on the university, the field of study (e.g., social sciences vs natural sciences), and the level of the degree (e.g. undergraduate, Masters or PhD) – so it’s always best to check with your university what their specific requirements are before you start planning your proposal.

As a rough guide, a formal research proposal at Masters-level often ranges between 2000-3000 words, while a PhD-level proposal can be far more detailed, ranging from 5000-8000 words. In some cases, a rough outline of the topic is all that’s needed, while in other cases, universities expect a very detailed proposal that essentially forms the first three chapters of the dissertation or thesis.

The takeaway – be sure to check with your institution before you start writing.

How do I choose a topic for my research proposal?

Finding a good research topic is a process that involves multiple steps. We cover the topic ideation process in this video post.

How do I write a literature review for my proposal?

While you typically won’t need a comprehensive literature review at the proposal stage, you still need to demonstrate that you’re familiar with the key literature and are able to synthesise it. We explain the literature review process here.

How do I create a timeline and budget for my proposal?

We explain how to craft a project plan/timeline and budget in Research Proposal Bootcamp .

Which referencing format should I use in my research proposal?

The expectations and requirements regarding formatting and referencing vary from institution to institution. Therefore, you’ll need to check this information with your university.

What common proposal writing mistakes do I need to look out for?

We’ve create a video post about some of the most common mistakes students make when writing a proposal – you can access that here . If you’re short on time, here’s a quick summary:

• The research topic is too broad (or just poorly articulated).
• The research aims, objectives and questions don’t align.
• The research topic is not well justified.
• The study has a weak theoretical foundation.
• The research design is not well articulated well enough.
• Poor writing and sloppy presentation.
• Poor project planning and risk management.
• Not following the university’s specific criteria.

Key Takeaways & Additional Resources

As you write up your research proposal, remember the all-important core purpose:  to convince . Your research proposal needs to sell your study in terms of suitability and viability. So, focus on crafting a convincing narrative to ensure a strong proposal.

At the same time, pay close attention to your university’s requirements. While we’ve covered the essentials here, every institution has its own set of expectations and it’s essential that you follow these to maximise your chances of approval.

By the way, we’ve got plenty more resources to help you fast-track your research proposal. Here are some of our most popular resources to get you started:

• Proposal Writing 101 : A Introductory Webinar
• Research Proposal Bootcamp : The Ultimate Online Course
• Template : A basic template to help you craft your proposal

If you’re looking for 1-on-1 support with your research proposal, be sure to check out our private coaching service , where we hold your hand through the proposal development process (and the entire research journey), step by step.

Psst… there’s more!

This post is an extract from our bestselling short course, Research Proposal Bootcamp . If you want to work smart, you don't want to miss this .

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51 Comments

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Bundle of thanks to you for the research proposal guide it was really good and useful if it is possible please send me the sample of research proposal

You’re most welcome. We don’t have any research proposals that we can share (the students own the intellectual property), but you might find our research proposal template useful: https://gradcoach.com/research-proposal-template/

Cheruiyot Moses Kipyegon

Thanks alot. It was an eye opener that came timely enough before my imminent proposal defense. Thanks, again

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Thank you. This is a great insight. I am a student preparing for a PhD program. I am requested to write my Research Proposal as part of what I am required to submit before my unconditional admission. I am grateful having listened to this video which will go a long way in helping me to actually choose a topic of interest and not just any topic as well as to narrow down the topic and be specific about it. I indeed need more of this especially as am trying to choose a topic suitable for a DBA am about embarking on. Thank you once more. The video is indeed helpful.

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

What Is a Research Methodology? | Steps & Tips

Published on August 25, 2022 by Shona McCombes and Tegan George. Revised on November 20, 2023.

Your research methodology discusses and explains the data collection and analysis methods you used in your research. A key part of your thesis, dissertation , or research paper , the methodology chapter explains what you did and how you did it, allowing readers to evaluate the reliability and validity of your research and your dissertation topic .

It should include:

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

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Table of contents

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

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

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

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

Option 1: Start with your “what”

What research problem or question did you investigate?

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

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

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

Option 2: Start with your “why”

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

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

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

Quantitative methods

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

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

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

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

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

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

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

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

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

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

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

• Information bias
• Omitted variable bias
• Regression to the mean
• Survivorship bias
• Undercoverage bias
• Sampling bias

Qualitative methods

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

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

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

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

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

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

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

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

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

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

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

• The Hawthorne effect
• Observer bias
• The placebo effect
• Response bias and Nonresponse bias
• The Pygmalion effect
• Recall bias
• Social desirability bias
• Self-selection bias

Mixed methods

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

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

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

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

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

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

Specific methods might include:

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

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

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

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

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

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

1. Focus on your objectives and research questions

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

2. Cite relevant sources

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

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

3. Write for your audience

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

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

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

• Normal distribution
• Measures of central tendency
• Chi square tests
• Confidence interval
• Quartiles & Quantiles

Methodology

• Cluster sampling
• Stratified sampling
• Thematic analysis
• Cohort study
• Peer review
• Ethnography

Research bias

• Implicit bias
• Cognitive bias
• Conformity bias
• Hawthorne effect
• Availability heuristic
• Attrition bias

Methodology refers to the overarching strategy and rationale of your research project . It involves studying the methods used in your field and the theories or principles behind them, in order to develop an approach that matches your objectives.

Methods are the specific tools and procedures you use to collect and analyze data (for example, experiments, surveys , and statistical tests ).

In shorter scientific papers, where the aim is to report the findings of a specific study, you might simply describe what you did in a methods section .

In a longer or more complex research project, such as a thesis or dissertation , you will probably include a methodology section , where you explain your approach to answering the research questions and cite relevant sources to support your choice of methods.

In a scientific paper, the methodology always comes after the introduction and before the results , discussion and conclusion . The same basic structure also applies to a thesis, dissertation , or research proposal .

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

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

Quantitative methods allow you to systematically measure variables and test hypotheses . Qualitative methods allow you to explore concepts and experiences in more detail.

Reliability and validity are both about how well a method measures something:

• Reliability refers to the  consistency of a measure (whether the results can be reproduced under the same conditions).
• Validity   refers to the  accuracy of a measure (whether the results really do represent what they are supposed to measure).

If you are doing experimental research, you also have to consider the internal and external validity of your experiment.

A sample is a subset of individuals from a larger population . Sampling means selecting the group that you will actually collect data from in your research. For example, if you are researching the opinions of students in your university, you could survey a sample of 100 students.

In statistics, sampling allows you to test a hypothesis about the characteristics of a population.

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What Is Research, and Why Do People Do It?

• Open Access
• First Online: 03 December 2022

Cite this chapter

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• James Hiebert 6 ,
• Jinfa Cai 7 ,
• Stephen Hwang 7 ,
• Anne K Morris 6 &
• Charles Hohensee 6  

Part of the book series: Research in Mathematics Education ((RME))

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Abstractspiepr Abs1

Every day people do research as they gather information to learn about something of interest. In the scientific world, however, research means something different than simply gathering information. Scientific research is characterized by its careful planning and observing, by its relentless efforts to understand and explain, and by its commitment to learn from everyone else seriously engaged in research. We call this kind of research scientific inquiry and define it as “formulating, testing, and revising hypotheses.” By “hypotheses” we do not mean the hypotheses you encounter in statistics courses. We mean predictions about what you expect to find and rationales for why you made these predictions. Throughout this and the remaining chapters we make clear that the process of scientific inquiry applies to all kinds of research studies and data, both qualitative and quantitative.

You have full access to this open access chapter,  Download chapter PDF

Part I. What Is Research?

Have you ever studied something carefully because you wanted to know more about it? Maybe you wanted to know more about your grandmother’s life when she was younger so you asked her to tell you stories from her childhood, or maybe you wanted to know more about a fertilizer you were about to use in your garden so you read the ingredients on the package and looked them up online. According to the dictionary definition, you were doing research.

Recall your high school assignments asking you to “research” a topic. The assignment likely included consulting a variety of sources that discussed the topic, perhaps including some “original” sources. Often, the teacher referred to your product as a “research paper.”

Were you conducting research when you interviewed your grandmother or wrote high school papers reviewing a particular topic? Our view is that you were engaged in part of the research process, but only a small part. In this book, we reserve the word “research” for what it means in the scientific world, that is, for scientific research or, more pointedly, for scientific inquiry .

Exercise 1.1

Before you read any further, write a definition of what you think scientific inquiry is. Keep it short—Two to three sentences. You will periodically update this definition as you read this chapter and the remainder of the book.

This book is about scientific inquiry—what it is and how to do it. For starters, scientific inquiry is a process, a particular way of finding out about something that involves a number of phases. Each phase of the process constitutes one aspect of scientific inquiry. You are doing scientific inquiry as you engage in each phase, but you have not done scientific inquiry until you complete the full process. Each phase is necessary but not sufficient.

In this chapter, we set the stage by defining scientific inquiry—describing what it is and what it is not—and by discussing what it is good for and why people do it. The remaining chapters build directly on the ideas presented in this chapter.

A first thing to know is that scientific inquiry is not all or nothing. “Scientificness” is a continuum. Inquiries can be more scientific or less scientific. What makes an inquiry more scientific? You might be surprised there is no universally agreed upon answer to this question. None of the descriptors we know of are sufficient by themselves to define scientific inquiry. But all of them give you a way of thinking about some aspects of the process of scientific inquiry. Each one gives you different insights.

Exercise 1.2

As you read about each descriptor below, think about what would make an inquiry more or less scientific. If you think a descriptor is important, use it to revise your definition of scientific inquiry.

Creating an Image of Scientific Inquiry

We will present three descriptors of scientific inquiry. Each provides a different perspective and emphasizes a different aspect of scientific inquiry. We will draw on all three descriptors to compose our definition of scientific inquiry.

Descriptor 1. Experience Carefully Planned in Advance

Sir Ronald Fisher, often called the father of modern statistical design, once referred to research as “experience carefully planned in advance” (1935, p. 8). He said that humans are always learning from experience, from interacting with the world around them. Usually, this learning is haphazard rather than the result of a deliberate process carried out over an extended period of time. Research, Fisher said, was learning from experience, but experience carefully planned in advance.

This phrase can be fully appreciated by looking at each word. The fact that scientific inquiry is based on experience means that it is based on interacting with the world. These interactions could be thought of as the stuff of scientific inquiry. In addition, it is not just any experience that counts. The experience must be carefully planned . The interactions with the world must be conducted with an explicit, describable purpose, and steps must be taken to make the intended learning as likely as possible. This planning is an integral part of scientific inquiry; it is not just a preparation phase. It is one of the things that distinguishes scientific inquiry from many everyday learning experiences. Finally, these steps must be taken beforehand and the purpose of the inquiry must be articulated in advance of the experience. Clearly, scientific inquiry does not happen by accident, by just stumbling into something. Stumbling into something unexpected and interesting can happen while engaged in scientific inquiry, but learning does not depend on it and serendipity does not make the inquiry scientific.

Descriptor 2. Observing Something and Trying to Explain Why It Is the Way It Is

When we were writing this chapter and googled “scientific inquiry,” the first entry was: “Scientific inquiry refers to the diverse ways in which scientists study the natural world and propose explanations based on the evidence derived from their work.” The emphasis is on studying, or observing, and then explaining . This descriptor takes the image of scientific inquiry beyond carefully planned experience and includes explaining what was experienced.

According to the Merriam-Webster dictionary, “explain” means “(a) to make known, (b) to make plain or understandable, (c) to give the reason or cause of, and (d) to show the logical development or relations of” (Merriam-Webster, n.d. ). We will use all these definitions. Taken together, they suggest that to explain an observation means to understand it by finding reasons (or causes) for why it is as it is. In this sense of scientific inquiry, the following are synonyms: explaining why, understanding why, and reasoning about causes and effects. Our image of scientific inquiry now includes planning, observing, and explaining why.

We need to add a final note about this descriptor. We have phrased it in a way that suggests “observing something” means you are observing something in real time—observing the way things are or the way things are changing. This is often true. But, observing could mean observing data that already have been collected, maybe by someone else making the original observations (e.g., secondary analysis of NAEP data or analysis of existing video recordings of classroom instruction). We will address secondary analyses more fully in Chap. 4 . For now, what is important is that the process requires explaining why the data look like they do.

We must note that for us, the term “data” is not limited to numerical or quantitative data such as test scores. Data can also take many nonquantitative forms, including written survey responses, interview transcripts, journal entries, video recordings of students, teachers, and classrooms, text messages, and so forth.

Exercise 1.3

What are the implications of the statement that just “observing” is not enough to count as scientific inquiry? Does this mean that a detailed description of a phenomenon is not scientific inquiry?

Find sources that define research in education that differ with our position, that say description alone, without explanation, counts as scientific research. Identify the precise points where the opinions differ. What are the best arguments for each of the positions? Which do you prefer? Why?

Descriptor 3. Updating Everyone’s Thinking in Response to More and Better Information

This descriptor focuses on a third aspect of scientific inquiry: updating and advancing the field’s understanding of phenomena that are investigated. This descriptor foregrounds a powerful characteristic of scientific inquiry: the reliability (or trustworthiness) of what is learned and the ultimate inevitability of this learning to advance human understanding of phenomena. Humans might choose not to learn from scientific inquiry, but history suggests that scientific inquiry always has the potential to advance understanding and that, eventually, humans take advantage of these new understandings.

Before exploring these bold claims a bit further, note that this descriptor uses “information” in the same way the previous two descriptors used “experience” and “observations.” These are the stuff of scientific inquiry and we will use them often, sometimes interchangeably. Frequently, we will use the term “data” to stand for all these terms.

An overriding goal of scientific inquiry is for everyone to learn from what one scientist does. Much of this book is about the methods you need to use so others have faith in what you report and can learn the same things you learned. This aspect of scientific inquiry has many implications.

One implication is that scientific inquiry is not a private practice. It is a public practice available for others to see and learn from. Notice how different this is from everyday learning. When you happen to learn something from your everyday experience, often only you gain from the experience. The fact that research is a public practice means it is also a social one. It is best conducted by interacting with others along the way: soliciting feedback at each phase, taking opportunities to present work-in-progress, and benefitting from the advice of others.

A second implication is that you, as the researcher, must be committed to sharing what you are doing and what you are learning in an open and transparent way. This allows all phases of your work to be scrutinized and critiqued. This is what gives your work credibility. The reliability or trustworthiness of your findings depends on your colleagues recognizing that you have used all appropriate methods to maximize the chances that your claims are justified by the data.

A third implication of viewing scientific inquiry as a collective enterprise is the reverse of the second—you must be committed to receiving comments from others. You must treat your colleagues as fair and honest critics even though it might sometimes feel otherwise. You must appreciate their job, which is to remain skeptical while scrutinizing what you have done in considerable detail. To provide the best help to you, they must remain skeptical about your conclusions (when, for example, the data are difficult for them to interpret) until you offer a convincing logical argument based on the information you share. A rather harsh but good-to-remember statement of the role of your friendly critics was voiced by Karl Popper, a well-known twentieth century philosopher of science: “. . . if you are interested in the problem which I tried to solve by my tentative assertion, you may help me by criticizing it as severely as you can” (Popper, 1968, p. 27).

A final implication of this third descriptor is that, as someone engaged in scientific inquiry, you have no choice but to update your thinking when the data support a different conclusion. This applies to your own data as well as to those of others. When data clearly point to a specific claim, even one that is quite different than you expected, you must reconsider your position. If the outcome is replicated multiple times, you need to adjust your thinking accordingly. Scientific inquiry does not let you pick and choose which data to believe; it mandates that everyone update their thinking when the data warrant an update.

Doing Scientific Inquiry

We define scientific inquiry in an operational sense—what does it mean to do scientific inquiry? What kind of process would satisfy all three descriptors: carefully planning an experience in advance; observing and trying to explain what you see; and, contributing to updating everyone’s thinking about an important phenomenon?

We define scientific inquiry as formulating , testing , and revising hypotheses about phenomena of interest.

Of course, we are not the only ones who define it in this way. The definition for the scientific method posted by the editors of Britannica is: “a researcher develops a hypothesis, tests it through various means, and then modifies the hypothesis on the basis of the outcome of the tests and experiments” (Britannica, n.d. ).

Notice how defining scientific inquiry this way satisfies each of the descriptors. “Carefully planning an experience in advance” is exactly what happens when formulating a hypothesis about a phenomenon of interest and thinking about how to test it. “ Observing a phenomenon” occurs when testing a hypothesis, and “ explaining ” what is found is required when revising a hypothesis based on the data. Finally, “updating everyone’s thinking” comes from comparing publicly the original with the revised hypothesis.

Doing scientific inquiry, as we have defined it, underscores the value of accumulating knowledge rather than generating random bits of knowledge. Formulating, testing, and revising hypotheses is an ongoing process, with each revised hypothesis begging for another test, whether by the same researcher or by new researchers. The editors of Britannica signaled this cyclic process by adding the following phrase to their definition of the scientific method: “The modified hypothesis is then retested, further modified, and tested again.” Scientific inquiry creates a process that encourages each study to build on the studies that have gone before. Through collective engagement in this process of building study on top of study, the scientific community works together to update its thinking.

Before exploring more fully the meaning of “formulating, testing, and revising hypotheses,” we need to acknowledge that this is not the only way researchers define research. Some researchers prefer a less formal definition, one that includes more serendipity, less planning, less explanation. You might have come across more open definitions such as “research is finding out about something.” We prefer the tighter hypothesis formulation, testing, and revision definition because we believe it provides a single, coherent map for conducting research that addresses many of the thorny problems educational researchers encounter. We believe it is the most useful orientation toward research and the most helpful to learn as a beginning researcher.

A final clarification of our definition is that it applies equally to qualitative and quantitative research. This is a familiar distinction in education that has generated much discussion. You might think our definition favors quantitative methods over qualitative methods because the language of hypothesis formulation and testing is often associated with quantitative methods. In fact, we do not favor one method over another. In Chap. 4 , we will illustrate how our definition fits research using a range of quantitative and qualitative methods.

Exercise 1.4

Look for ways to extend what the field knows in an area that has already received attention by other researchers. Specifically, you can search for a program of research carried out by more experienced researchers that has some revised hypotheses that remain untested. Identify a revised hypothesis that you might like to test.

Unpacking the Terms Formulating, Testing, and Revising Hypotheses

To get a full sense of the definition of scientific inquiry we will use throughout this book, it is helpful to spend a little time with each of the key terms.

We first want to make clear that we use the term “hypothesis” as it is defined in most dictionaries and as it used in many scientific fields rather than as it is usually defined in educational statistics courses. By “hypothesis,” we do not mean a null hypothesis that is accepted or rejected by statistical analysis. Rather, we use “hypothesis” in the sense conveyed by the following definitions: “An idea or explanation for something that is based on known facts but has not yet been proved” (Cambridge University Press, n.d. ), and “An unproved theory, proposition, or supposition, tentatively accepted to explain certain facts and to provide a basis for further investigation or argument” (Agnes & Guralnik, 2008 ).

We distinguish two parts to “hypotheses.” Hypotheses consist of predictions and rationales . Predictions are statements about what you expect to find when you inquire about something. Rationales are explanations for why you made the predictions you did, why you believe your predictions are correct. So, for us “formulating hypotheses” means making explicit predictions and developing rationales for the predictions.

“Testing hypotheses” means making observations that allow you to assess in what ways your predictions were correct and in what ways they were incorrect. In education research, it is rarely useful to think of your predictions as either right or wrong. Because of the complexity of most issues you will investigate, most predictions will be right in some ways and wrong in others.

By studying the observations you make (data you collect) to test your hypotheses, you can revise your hypotheses to better align with the observations. This means revising your predictions plus revising your rationales to justify your adjusted predictions. Even though you might not run another test, formulating revised hypotheses is an essential part of conducting a research study. Comparing your original and revised hypotheses informs everyone of what you learned by conducting your study. In addition, a revised hypothesis sets the stage for you or someone else to extend your study and accumulate more knowledge of the phenomenon.

We should note that not everyone makes a clear distinction between predictions and rationales as two aspects of hypotheses. In fact, common, non-scientific uses of the word “hypothesis” may limit it to only a prediction or only an explanation (or rationale). We choose to explicitly include both prediction and rationale in our definition of hypothesis, not because we assert this should be the universal definition, but because we want to foreground the importance of both parts acting in concert. Using “hypothesis” to represent both prediction and rationale could hide the two aspects, but we make them explicit because they provide different kinds of information. It is usually easier to make predictions than develop rationales because predictions can be guesses, hunches, or gut feelings about which you have little confidence. Developing a compelling rationale requires careful thought plus reading what other researchers have found plus talking with your colleagues. Often, while you are developing your rationale you will find good reasons to change your predictions. Developing good rationales is the engine that drives scientific inquiry. Rationales are essentially descriptions of how much you know about the phenomenon you are studying. Throughout this guide, we will elaborate on how developing good rationales drives scientific inquiry. For now, we simply note that it can sharpen your predictions and help you to interpret your data as you test your hypotheses.

Hypotheses in education research take a variety of forms or types. This is because there are a variety of phenomena that can be investigated. Investigating educational phenomena is sometimes best done using qualitative methods, sometimes using quantitative methods, and most often using mixed methods (e.g., Hay, 2016 ; Weis et al. 2019a ; Weisner, 2005 ). This means that, given our definition, hypotheses are equally applicable to qualitative and quantitative investigations.

Hypotheses take different forms when they are used to investigate different kinds of phenomena. Two very different activities in education could be labeled conducting experiments and descriptions. In an experiment, a hypothesis makes a prediction about anticipated changes, say the changes that occur when a treatment or intervention is applied. You might investigate how students’ thinking changes during a particular kind of instruction.

A second type of hypothesis, relevant for descriptive research, makes a prediction about what you will find when you investigate and describe the nature of a situation. The goal is to understand a situation as it exists rather than to understand a change from one situation to another. In this case, your prediction is what you expect to observe. Your rationale is the set of reasons for making this prediction; it is your current explanation for why the situation will look like it does.

You will probably read, if you have not already, that some researchers say you do not need a prediction to conduct a descriptive study. We will discuss this point of view in Chap. 2 . For now, we simply claim that scientific inquiry, as we have defined it, applies to all kinds of research studies. Descriptive studies, like others, not only benefit from formulating, testing, and revising hypotheses, but also need hypothesis formulating, testing, and revising.

One reason we define research as formulating, testing, and revising hypotheses is that if you think of research in this way you are less likely to go wrong. It is a useful guide for the entire process, as we will describe in detail in the chapters ahead. For example, as you build the rationale for your predictions, you are constructing the theoretical framework for your study (Chap. 3 ). As you work out the methods you will use to test your hypothesis, every decision you make will be based on asking, “Will this help me formulate or test or revise my hypothesis?” (Chap. 4 ). As you interpret the results of testing your predictions, you will compare them to what you predicted and examine the differences, focusing on how you must revise your hypotheses (Chap. 5 ). By anchoring the process to formulating, testing, and revising hypotheses, you will make smart decisions that yield a coherent and well-designed study.

Exercise 1.5

Compare the concept of formulating, testing, and revising hypotheses with the descriptions of scientific inquiry contained in Scientific Research in Education (NRC, 2002 ). How are they similar or different?

Exercise 1.6

Provide an example to illustrate and emphasize the differences between everyday learning/thinking and scientific inquiry.

Learning from Doing Scientific Inquiry

We noted earlier that a measure of what you have learned by conducting a research study is found in the differences between your original hypothesis and your revised hypothesis based on the data you collected to test your hypothesis. We will elaborate this statement in later chapters, but we preview our argument here.

Even before collecting data, scientific inquiry requires cycles of making a prediction, developing a rationale, refining your predictions, reading and studying more to strengthen your rationale, refining your predictions again, and so forth. And, even if you have run through several such cycles, you still will likely find that when you test your prediction you will be partly right and partly wrong. The results will support some parts of your predictions but not others, or the results will “kind of” support your predictions. A critical part of scientific inquiry is making sense of your results by interpreting them against your predictions. Carefully describing what aspects of your data supported your predictions, what aspects did not, and what data fell outside of any predictions is not an easy task, but you cannot learn from your study without doing this analysis.

Analyzing the matches and mismatches between your predictions and your data allows you to formulate different rationales that would have accounted for more of the data. The best revised rationale is the one that accounts for the most data. Once you have revised your rationales, you can think about the predictions they best justify or explain. It is by comparing your original rationales to your new rationales that you can sort out what you learned from your study.

Suppose your study was an experiment. Maybe you were investigating the effects of a new instructional intervention on students’ learning. Your original rationale was your explanation for why the intervention would change the learning outcomes in a particular way. Your revised rationale explained why the changes that you observed occurred like they did and why your revised predictions are better. Maybe your original rationale focused on the potential of the activities if they were implemented in ideal ways and your revised rationale included the factors that are likely to affect how teachers implement them. By comparing the before and after rationales, you are describing what you learned—what you can explain now that you could not before. Another way of saying this is that you are describing how much more you understand now than before you conducted your study.

Revised predictions based on carefully planned and collected data usually exhibit some of the following features compared with the originals: more precision, more completeness, and broader scope. Revised rationales have more explanatory power and become more complete, more aligned with the new predictions, sharper, and overall more convincing.

Part II. Why Do Educators Do Research?

Doing scientific inquiry is a lot of work. Each phase of the process takes time, and you will often cycle back to improve earlier phases as you engage in later phases. Because of the significant effort required, you should make sure your study is worth it. So, from the beginning, you should think about the purpose of your study. Why do you want to do it? And, because research is a social practice, you should also think about whether the results of your study are likely to be important and significant to the education community.

If you are doing research in the way we have described—as scientific inquiry—then one purpose of your study is to understand , not just to describe or evaluate or report. As we noted earlier, when you formulate hypotheses, you are developing rationales that explain why things might be like they are. In our view, trying to understand and explain is what separates research from other kinds of activities, like evaluating or describing.

One reason understanding is so important is that it allows researchers to see how or why something works like it does. When you see how something works, you are better able to predict how it might work in other contexts, under other conditions. And, because conditions, or contextual factors, matter a lot in education, gaining insights into applying your findings to other contexts increases the contributions of your work and its importance to the broader education community.

Consequently, the purposes of research studies in education often include the more specific aim of identifying and understanding the conditions under which the phenomena being studied work like the observations suggest. A classic example of this kind of study in mathematics education was reported by William Brownell and Harold Moser in 1949 . They were trying to establish which method of subtracting whole numbers could be taught most effectively—the regrouping method or the equal additions method. However, they realized that effectiveness might depend on the conditions under which the methods were taught—“meaningfully” versus “mechanically.” So, they designed a study that crossed the two instructional approaches with the two different methods (regrouping and equal additions). Among other results, they found that these conditions did matter. The regrouping method was more effective under the meaningful condition than the mechanical condition, but the same was not true for the equal additions algorithm.

What do education researchers want to understand? In our view, the ultimate goal of education is to offer all students the best possible learning opportunities. So, we believe the ultimate purpose of scientific inquiry in education is to develop understanding that supports the improvement of learning opportunities for all students. We say “ultimate” because there are lots of issues that must be understood to improve learning opportunities for all students. Hypotheses about many aspects of education are connected, ultimately, to students’ learning. For example, formulating and testing a hypothesis that preservice teachers need to engage in particular kinds of activities in their coursework in order to teach particular topics well is, ultimately, connected to improving students’ learning opportunities. So is hypothesizing that school districts often devote relatively few resources to instructional leadership training or hypothesizing that positioning mathematics as a tool students can use to combat social injustice can help students see the relevance of mathematics to their lives.

We do not exclude the importance of research on educational issues more removed from improving students’ learning opportunities, but we do think the argument for their importance will be more difficult to make. If there is no way to imagine a connection between your hypothesis and improving learning opportunities for students, even a distant connection, we recommend you reconsider whether it is an important hypothesis within the education community.

Notice that we said the ultimate goal of education is to offer all students the best possible learning opportunities. For too long, educators have been satisfied with a goal of offering rich learning opportunities for lots of students, sometimes even for just the majority of students, but not necessarily for all students. Evaluations of success often are based on outcomes that show high averages. In other words, if many students have learned something, or even a smaller number have learned a lot, educators may have been satisfied. The problem is that there is usually a pattern in the groups of students who receive lower quality opportunities—students of color and students who live in poor areas, urban and rural. This is not acceptable. Consequently, we emphasize the premise that the purpose of education research is to offer rich learning opportunities to all students.

One way to make sure you will be able to convince others of the importance of your study is to consider investigating some aspect of teachers’ shared instructional problems. Historically, researchers in education have set their own research agendas, regardless of the problems teachers are facing in schools. It is increasingly recognized that teachers have had trouble applying to their own classrooms what researchers find. To address this problem, a researcher could partner with a teacher—better yet, a small group of teachers—and talk with them about instructional problems they all share. These discussions can create a rich pool of problems researchers can consider. If researchers pursued one of these problems (preferably alongside teachers), the connection to improving learning opportunities for all students could be direct and immediate. “Grounding a research question in instructional problems that are experienced across multiple teachers’ classrooms helps to ensure that the answer to the question will be of sufficient scope to be relevant and significant beyond the local context” (Cai et al., 2019b , p. 115).

As a beginning researcher, determining the relevance and importance of a research problem is especially challenging. We recommend talking with advisors, other experienced researchers, and peers to test the educational importance of possible research problems and topics of study. You will also learn much more about the issue of research importance when you read Chap. 5 .

Exercise 1.7

Identify a problem in education that is closely connected to improving learning opportunities and a problem that has a less close connection. For each problem, write a brief argument (like a logical sequence of if-then statements) that connects the problem to all students’ learning opportunities.

Part III. Conducting Research as a Practice of Failing Productively

Scientific inquiry involves formulating hypotheses about phenomena that are not fully understood—by you or anyone else. Even if you are able to inform your hypotheses with lots of knowledge that has already been accumulated, you are likely to find that your prediction is not entirely accurate. This is normal. Remember, scientific inquiry is a process of constantly updating your thinking. More and better information means revising your thinking, again, and again, and again. Because you never fully understand a complicated phenomenon and your hypotheses never produce completely accurate predictions, it is easy to believe you are somehow failing.

The trick is to fail upward, to fail to predict accurately in ways that inform your next hypothesis so you can make a better prediction. Some of the best-known researchers in education have been open and honest about the many times their predictions were wrong and, based on the results of their studies and those of others, they continuously updated their thinking and changed their hypotheses.

A striking example of publicly revising (actually reversing) hypotheses due to incorrect predictions is found in the work of Lee J. Cronbach, one of the most distinguished educational psychologists of the twentieth century. In 1955, Cronbach delivered his presidential address to the American Psychological Association. Titling it “Two Disciplines of Scientific Psychology,” Cronbach proposed a rapprochement between two research approaches—correlational studies that focused on individual differences and experimental studies that focused on instructional treatments controlling for individual differences. (We will examine different research approaches in Chap. 4 ). If these approaches could be brought together, reasoned Cronbach ( 1957 ), researchers could find interactions between individual characteristics and treatments (aptitude-treatment interactions or ATIs), fitting the best treatments to different individuals.

In 1975, after years of research by many researchers looking for ATIs, Cronbach acknowledged the evidence for simple, useful ATIs had not been found. Even when trying to find interactions between a few variables that could provide instructional guidance, the analysis, said Cronbach, creates “a hall of mirrors that extends to infinity, tormenting even the boldest investigators and defeating even ambitious designs” (Cronbach, 1975 , p. 119).

As he was reflecting back on his work, Cronbach ( 1986 ) recommended moving away from documenting instructional effects through statistical inference (an approach he had championed for much of his career) and toward approaches that probe the reasons for these effects, approaches that provide a “full account of events in a time, place, and context” (Cronbach, 1986 , p. 104). This is a remarkable change in hypotheses, a change based on data and made fully transparent. Cronbach understood the value of failing productively.

Closer to home, in a less dramatic example, one of us began a line of scientific inquiry into how to prepare elementary preservice teachers to teach early algebra. Teaching early algebra meant engaging elementary students in early forms of algebraic reasoning. Such reasoning should help them transition from arithmetic to algebra. To begin this line of inquiry, a set of activities for preservice teachers were developed. Even though the activities were based on well-supported hypotheses, they largely failed to engage preservice teachers as predicted because of unanticipated challenges the preservice teachers faced. To capitalize on this failure, follow-up studies were conducted, first to better understand elementary preservice teachers’ challenges with preparing to teach early algebra, and then to better support preservice teachers in navigating these challenges. In this example, the initial failure was a necessary step in the researchers’ scientific inquiry and furthered the researchers’ understanding of this issue.

We present another example of failing productively in Chap. 2 . That example emerges from recounting the history of a well-known research program in mathematics education.

Making mistakes is an inherent part of doing scientific research. Conducting a study is rarely a smooth path from beginning to end. We recommend that you keep the following things in mind as you begin a career of conducting research in education.

First, do not get discouraged when you make mistakes; do not fall into the trap of feeling like you are not capable of doing research because you make too many errors.

Second, learn from your mistakes. Do not ignore your mistakes or treat them as errors that you simply need to forget and move past. Mistakes are rich sites for learning—in research just as in other fields of study.

Third, by reflecting on your mistakes, you can learn to make better mistakes, mistakes that inform you about a productive next step. You will not be able to eliminate your mistakes, but you can set a goal of making better and better mistakes.

Exercise 1.8

How does scientific inquiry differ from everyday learning in giving you the tools to fail upward? You may find helpful perspectives on this question in other resources on science and scientific inquiry (e.g., Failure: Why Science is So Successful by Firestein, 2015).

Exercise 1.9

Use what you have learned in this chapter to write a new definition of scientific inquiry. Compare this definition with the one you wrote before reading this chapter. If you are reading this book as part of a course, compare your definition with your colleagues’ definitions. Develop a consensus definition with everyone in the course.

Part IV. Preview of Chap. 2

Now that you have a good idea of what research is, at least of what we believe research is, the next step is to think about how to actually begin doing research. This means how to begin formulating, testing, and revising hypotheses. As for all phases of scientific inquiry, there are lots of things to think about. Because it is critical to start well, we devote Chap. 2 to getting started with formulating hypotheses.

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Hiebert, J., Cai, J., Hwang, S., Morris, A.K., Hohensee, C. (2023). What Is Research, and Why Do People Do It?. In: Doing Research: A New Researcher’s Guide. Research in Mathematics Education. Springer, Cham. https://doi.org/10.1007/978-3-031-19078-0_1

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Keep it manageable and be flexible. If you start doing more research and not finding enough sources that support your thesis, you may need to adjust your topic.

A topic will be very difficult to research if it is too broad or narrow. One way to narrow a broad topic such as "the environment" is to limit your topic. Some common ways to limit a topic are:

• by geographic area

Example: What environmental issues are most important in the Southwestern United States?

Example: How does the environment fit into the Navajo world view?

• by time frame

Example: What are the most prominent environmental issues of the last 10 years?

• by discipline

Example: How does environmental awareness effect business practices today?

• by population group

Example: What are the effects of air pollution on senior citizens?

Remember that a topic may be too difficult to research if it is too:

• locally confined - Topics this specific may only be covered in local newspapers and not in scholarly articles.

Example: What sources of pollution affect the air in Genesee County?

• recent - If a topic is quite recent, books or journal articles may not be available, but newspaper or magazine articles may. Also, websites related to the topic may or may not be available.
• broadly interdisciplinary - You could be overwhelmed with superficial information.

Example: How can the environment contribute to the culture, politics and society of the Western United States?

• popular - You will only find very popular articles about some topics such as sports figures and high-profile celebrities and musicians.

Putting your topic in the form of a question will help you focus on what type of information you want to collect.

If you have any difficulties or questions with focusing your topic, discuss the topic with your instructor, or with a librarian.

• Topic Concept Map Download and print this PDF to create a concept map for your topic. Put your main topic in the middle circle and then put ideas related to your topic on the lines radiating from the circle.
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What's the difference between 'research topic' and 'research area'?

I am writing an essay to apply for a summer research project and is supposed to write about 'general research topic that interests me' and 'area I would like to focus'. I'm kind of confused about these two terms. What's the difference?

For example, if I'm interested in computer science, where should I write it?

p.s. I have asked this question in English Language & Usage site but didn't get answer. So I suppose that these two words may only have difference in academic field?

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2 Answers 2

A research area is what a research topic is placed into, but is much broader than the scope of the topic. For example a research area can be human physiology, computer science (as you mentioned) or even relate to a specific field within these broader terms such as cardiac electrophysiology or machine learning respectively.

A research topic would be a specific question, hypothesis or problem you wish to investigate and answer which is under the scope of your research area. That is to say, my research area is in neuroscience/neurophysiology and my research topic is investigating the mechanisms of neuronal communication, as an example.

You would want to say topics that interest you which relate to a certain problem that you may be aware of, whereas in the research area you would want to outline your inclinations towards a particular field of academia.

While a topic is narrower than an area (for example, your area may be "solid state physics" and your topic "semiconductor tuning based on dopage"), it's probably true that for most people there is little difference between the two terms as far as colloquial usage is concerned.

In other words, don't obsess about the difference -- though, if you want, consider the "area" a broader term.

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Home » Scope of the Research – Writing Guide and Examples

Scope of the Research – Writing Guide and Examples

Table of Contents

Scope of the Research

Scope of research refers to the range of topics, areas, and subjects that a research project intends to cover. It is the extent and limitations of the study, defining what is included and excluded in the research.

The scope of a research project depends on various factors, such as the research questions , objectives , methodology, and available resources. It is essential to define the scope of the research project clearly to avoid confusion and ensure that the study addresses the intended research questions.

How to Write Scope of the Research

Writing the scope of the research involves identifying the specific boundaries and limitations of the study. Here are some steps you can follow to write a clear and concise scope of the research:

• Identify the research question: Start by identifying the specific question that you want to answer through your research . This will help you focus your research and define the scope more clearly.
• Define the objectives: Once you have identified the research question, define the objectives of your study. What specific goals do you want to achieve through your research?
• Determine the population and sample: Identify the population or group of people that you will be studying, as well as the sample size and selection criteria. This will help you narrow down the scope of your research and ensure that your findings are applicable to the intended audience.
• Identify the variables: Determine the variables that will be measured or analyzed in your research. This could include demographic variables, independent variables , dependent variables , or any other relevant factors.
• Define the timeframe: Determine the timeframe for your study, including the start and end date, as well as any specific time intervals that will be measured.
• Determine the geographical scope: If your research is location-specific, define the geographical scope of your study. This could include specific regions, cities, or neighborhoods that you will be focusing on.
• Outline the limitations: Finally, outline any limitations or constraints of your research, such as time, resources, or access to data. This will help readers understand the scope and applicability of your research findings.

Examples of the Scope of the Research

Some Examples of the Scope of the Research are as follows:

Title : “Investigating the impact of artificial intelligence on job automation in the IT industry”

Scope of Research:

This study aims to explore the impact of artificial intelligence on job automation in the IT industry. The research will involve a qualitative analysis of job postings, identifying tasks that can be automated using AI. The study will also assess the potential implications of job automation on the workforce, including job displacement, job creation, and changes in job requirements.

Title : “Developing a machine learning model for predicting cyberattacks on corporate networks”

This study will develop a machine learning model for predicting cyberattacks on corporate networks. The research will involve collecting and analyzing network traffic data, identifying patterns and trends that are indicative of cyberattacks. The study aims to build an accurate and reliable predictive model that can help organizations identify and prevent cyberattacks before they occur.

Title: “Assessing the usability of a mobile app for managing personal finances”

This study will assess the usability of a mobile app for managing personal finances. The research will involve conducting a usability test with a group of participants, evaluating the app’s ease of use, efficiency, and user satisfaction. The study aims to identify areas of the app that need improvement, and to provide recommendations for enhancing its usability and user experience.

Title : “Exploring the effects of mindfulness meditation on stress reduction among college students”

This study aims to investigate the impact of mindfulness meditation on reducing stress levels among college students. The research will involve a randomized controlled trial with two groups: a treatment group that receives mindfulness meditation training and a control group that receives no intervention. The study will examine changes in stress levels, as measured by self-report questionnaires, before and after the intervention.

Title: “Investigating the impact of social media on body image dissatisfaction among young adults”

This study will explore the relationship between social media use and body image dissatisfaction among young adults. The research will involve a cross-sectional survey of participants aged 18-25, assessing their social media use, body image perceptions, and self-esteem. The study aims to identify any correlations between social media use and body image dissatisfaction, and to determine if certain social media platforms or types of content are particularly harmful.

When to Write Scope of the Research

Here is a guide on When to Write the Scope of the Research:

• Before starting your research project, it’s important to clearly define the scope of your study. This will help you stay focused on your research question and avoid getting sidetracked by irrelevant information.
• The scope of the research should be determined by the research question or problem statement. It should outline what you intend to investigate and what you will not be investigating.
• The scope should also take into consideration any limitations of the study, such as time, resources, or access to data. This will help you realistically plan and execute your research.
• Writing the scope of the research early in the research process can also help you refine your research question and identify any gaps in the existing literature that your study can address.
• It’s important to revisit the scope of the research throughout the research process to ensure that you stay on track and make any necessary adjustments.
• The scope of the research should be clearly communicated in the research proposal or study protocol to ensure that all stakeholders are aware of the research objectives and limitations.
• The scope of the research should also be reflected in the research design, methods, and analysis plan. This will ensure that the research is conducted in a systematic and rigorous manner that is aligned with the research objectives.
• The scope of the research should be written in a clear and concise manner, using language that is accessible to all stakeholders, including those who may not be familiar with the research topic or methodology.
• When writing the scope of the research, it’s important to be transparent about any assumptions or biases that may influence the research findings. This will help ensure that the research is conducted in an ethical and responsible manner.
• The scope of the research should be reviewed and approved by the research supervisor, committee members, or other relevant stakeholders. This will ensure that the research is feasible, relevant, and contributes to the field of study.
• Finally, the scope of the research should be clearly stated in the research report or dissertation to provide context for the research findings and conclusions. This will help readers understand the significance of the research and its contribution to the field of study.

Purpose of Scope of the Research

Purposes of Scope of the Research are as follows:

• Defines the boundaries and extent of the study.
• Determines the specific objectives and research questions to be addressed.
• Provides direction and focus for the research.
• Helps to identify the relevant theories, concepts, and variables to be studied.
• Enables the researcher to select the appropriate research methodology and techniques.
• Allows for the allocation of resources (time, money, personnel) to the research.
• Establishes the criteria for the selection of the sample and data collection methods.
• Facilitates the interpretation and generalization of the results.
• Ensures the ethical considerations and constraints are addressed.
• Provides a framework for the presentation and dissemination of the research findings.

Advantages of Scope of the Research

Here are some advantages of having a well-defined scope of research:

• Provides clarity and focus: Defining the scope of research helps to provide clarity and focus to the study. This ensures that the research stays on track and does not deviate from its intended purpose.
• Helps to manage resources: Knowing the scope of research allows researchers to allocate resources effectively. This includes managing time, budget, and personnel required to conduct the study.
• Improves the quality of research: A well-defined scope of research helps to ensure that the study is designed to achieve specific objectives. This helps to improve the quality of the research by reducing the likelihood of errors or bias.
• Facilitates communication: A clear scope of research enables researchers to communicate the goals and objectives of the study to stakeholders, such as funding agencies or participants. This facilitates understanding and enhances cooperation.
• Enables replication : A well-defined scope of research makes it easier to replicate the study in the future. This allows other researchers to validate the findings and build upon them, leading to the advancement of knowledge in the field.
• Increases the relevance of research: Defining the scope of research helps to ensure that the study is relevant to the problem or issue being investigated. This increases the likelihood that the findings will be useful and applicable to real-world situations.
• Reduces the risk of scope creep : Scope creep occurs when the research expands beyond the original scope, leading to an increase in the time, cost, and resources required to complete the study. A clear definition of the scope of research helps to reduce the risk of scope creep by establishing boundaries and limitations.
• Enhances the credibility of research: A well-defined scope of research helps to enhance the credibility of the study by ensuring that it is designed to achieve specific objectives and answer specific research questions. This makes it easier for others to assess the validity and reliability of the study.
• Provides a framework for decision-making : A clear scope of research provides a framework for decision-making throughout the research process. This includes decisions related to data collection, analysis, and interpretation.

Scope of the Research Vs Scope of the Project

About the author

Muhammad Hassan

Researcher, Academic Writer, Web developer

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Non-native plants and animals expanding ranges 100-times faster than native species, finds new research

by Daegan Miller, University of Massachusetts Amherst

An international team of scientists has recently found that non-native species are expanding their ranges many orders of magnitude faster than native ones, in large part due to inadvertent human help. Even seemingly sedentary non-native plants are moving at three times the speed of their native counterparts in a race where, because of the rapid pace of climate change and its effect on habitat, speed matters.

To survive, plants and animals need to be shifting their ranges by 3.25 kilometers per year just to keep up with the increasing temperatures and associated climactic shifts—a speed that native species cannot manage without human help.

Led by scientists at the University of Massachusetts Amherst, the team includes researchers from New Jersey, Michigan, Colorado and Hawaii in the U.S., as well as Sevilla and Zaragoza in Spain and was published in Annual Reviews of Ecology, Evolution and Systematics .

"We know that the numbers of invasive plant species are increasing exponentially worldwide ," says Bethany Bradley, professor of environmental conservation at UMass Amherst and the paper's lead author. " We also know that plant nurseries are exacerbating the climate-driven spread of invasives and that confronting invasives is one of the best ways to prepare for climate change . What we wanted to find out is how fast both native and non-native species are moving right now, and how far could they go."

To figure out how fast species are moving, Bradley and her colleagues comprehensively surveyed a vast trove of previously published papers and publicly available datasets on how far and how fast both native and non-native species, representing different taxa and various ecosystems, have been moving.

An important subset of this search was to compile data showing how humans are helping to accelerate the spread of non-native species, either accidentally, such as when a particular species finds itself in a shipping container that travels between continents, or intentionally, when a gardener buys an invasive ornamental from a nursery and drives it back to their home.

The conclusion that Bradley and colleagues reached is that land-based species—including plants—need to be moving at more than 3.25 kilometers per year if they want to stay ahead of climate change, while marine species need to be moving at 2.75 kilometers per year. Unfortunately, native species are only managing to move an average of 1.74 kilometers per year.

Non-native species, however, are spreading at about 35 kilometers per year on their own. When the human role in spreading non-native species is taken into account, then the rate jumps to an astronomical 1,883 kilometers per year—1,000 times faster than the rate at which native species are spreading.

"Essentially," says Bradley, "there's no chance for native species to keep up with climate change without human help."

For the second part of their research, Bradley and colleagues wanted to understand how far both native and non-native species might spread in a warming world, since not every ecosystem is suitable habitat.

While there were fewer case studies for the team to synthesize and analyze, their research indicates that it is likely that non-native species will find more territory to their liking than native species.

"However," says Bradley, "while this means that non-native species might have more territory to gain with climate change , it also means that they've got more territory to lose as some range margins become increasingly unsuitable."

What does this mean, then, for the future?

"It's really clear that people are very good at moving species, and this is one of the biggest advantages that non-native species have," says Bradley.

"We need to seriously consider and begin implementing assisted migration"—the practice of deliberately helping native species move to more suitable locations—"if our native plants and animals are to stand a chance."

Provided by University of Massachusetts Amherst

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Juneteenth: What to know about the historical celebration that's now a federal holiday

On june 19, 1865 slaves in galveston, texas were given the news that they were freed by president abraham lincoln. now, the day is a holiday that celebrates the "second independence day" in america..

Three years after it was made a federal holiday , Juneteenth 2024 marks a day of celebration as well as education.

The federal holiday known as “Second Independence Day,” marks the day the last African American slaves were notified that they had been freed from their masters, the National Museum of African American History and Culture said.

Dr. Tim Goler, a professor of urban affairs and sociology courses and director of research for the Center for African American Public Policy at Norfolk State University, told USA TODAY that Juneteenth or "Freedom Day" is a day that shows the "beauty of our culture" that everyone should participate in.

The origins of Juneteenth date back to June 19, 1865 – more than two years after President Abraham Lincoln signed the Emancipation Proclamation - when the Union Maj. Gen. Gordon Granger arrived in Galveston, Texas, and announced the end of the Civil War and the emancipation of enslaved African Americans, Goler said.

“This delay and the enforcement of the emancipation in Texas was due to a lack of enforcement until this general arrived," Goler said. "Then Juneteenth thus became this kind of powerful symbol of freedom and the long struggle for civil rights."

The Juneteenth National Independence Day A ct was passed by the U.S. House of Representatives and Senate in June 2021. The bill was signed by President Joe Biden on June 17, 2021, which officially made the day a federal holiday.

Here's what you need to know about Juneteenth.

An African American holiday: Predating Juneteenth was nearly lost to history. It's back.

Black History, Juneteenth becoming more cemented in fabric of US

Although Juneteenth is now becoming a part of the conversation regarding Black History, there was a time when Black History was not widely discussed within the educational system, especially for historians, said Dr. Alan Singer, a professor of teaching, learning and technology at Hofstra University who writes about the history of slavery and racism.

“I didn't learn it (until) I was an adult, really (in the) 1990s, when as a teacher, I started studying more, so I (could) incorporate it into my lessons,” he said. “I went to City College in the 1960s and they had first introduced a course called ‘American Negro History’ and that was the first time I had learned about any of these things. I took the course because I became a political activist while at City College and I needed to know more about the African American civil rights struggles.”

Singer also adds that he attended high school during the Civil Rights Movement and was never taught about Black History. To change that, he decided to educate himself more to properly teach his students.

“I just felt a heavy responsibility as a teacher to really present a much more accurate picture of the history of the United States,” he said.

Goler adds that Juneteenth has been recognized for years within the Black community and history. Now, the day has become more publicly known.

"In recent years, Juneteenth has gained a much wider recognition. It's only been since 2021 that it became that designated as a federal holiday," he said. "Many Black people and Black communities around the country have celebrated Juneteenth. It's just becoming much more wider and much more visible now."

Commercialization of Juneteenth

Since Juneteenth has been declared a federal holiday, many retailers have unveiled Juneteenth attire through clothing, footwear, hats and other merchandise.

"The question is, 'who benefits from the commercialization of Juneteenth?' I’d definitely like to see more African American (and) more Black businesses benefit," Goler said. "The trend of commercialization, we risk the overshadowing of the historical context, and the ongoing struggle for racial equality that Juneteenth represents."

Singer hopes that companies that are selling Juneteenth products are also advocating for more inclusivity.

“What I'm arguing is that what we need to do is to use a day like Juneteenth as a launching pad to build a more just society,” he said. “It should not just be about the past, it has to be about the future.”

Goler hopes that the holiday will bring everyone together but also educate them about this important day in Black History.

"I think as we observe Juneteenth, it's important to focus on the education, reflection, the community engagement aspect and really ensure that the day remains of a pungent reminder of our continued and enduring fight for freedom and justice," he said.

Ahjané Forbes is a reporter on the National Trending Team at USA TODAY. Ahjané covers breaking news, car recalls, crime, health, lottery and public policy stories. Email her at  [email protected] . Follow her on  Instagram ,  Threads  and  X (Twitter) .

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What does the color of phlegm mean?

Pulmonologist, Professor Ohio State Wexner Medical Center

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Snot, mucus, sputum, phlegm — it goes by many names, but does that often-colorful fluid that oozes from your body really have a purpose?

By definition, phlegm is a byproduct of inflammation in the sinuses and the lungs. Your body is responding to some sort of irritant and is creating the phlegm to combat the issue. It can be related to a bacterial infection, such as bronchitis, sinusitis or pneumonia. It could be a viral infection like your regular, run-of-the-mill upper respiratory infection. It can be produced by people who have chronic lung disease, such as COPD, cystic fibrosis or bronchiectasis. It’s a part of environmental allergies and asthma as well.

Just having a productive phlegmy cough or a runny nose doesn’t really give you a specific diagnosis. But phlegm’s texture and color are clues to identifying the health issue that ails you.

The Phlegm Color Spectrum

Yellow/green phlegm.

Yellowish, green phlegm is likely related to an infection. The type of infection isn’t really able to be discerned by the color itself.

The first step would be to talk to your primary care provider . They’ll ask questions such as how long have you been sick, is there someone sick in your home or at work, have you had a fever, chills, muscle aches or pain. These questions will help your doctor determine if you need antibiotics or if it’s something they can watch for a little longer and see if you can make it through without antibiotics.

Pink, red or bloody phlegm

If you’re coughing up red, pink or bloody phlegm, you should be seen by your provider. It could be related to an infection or to cancer in some cases. If you’re a smoker and you’re coughing up blood, it is worrisome. Your doctor may take a more in-depth health history and order a chest X-ray before making a diagnosis.

White phlegm

Allergies, asthma and often viral infections cause white phlegm or phlegm without a lot of color to it. It really depends. If it’s associated with underlying inflammatory conditions like asthma or COPD , it might indicate that your underlying issue isn’t as controlled as it needs to be, and your chronic disease management may need to be updated.

If it’s related to a viral upper respiratory tract infection, you can probably wait it out. If it is allergies, you may need to have a more aggressive allergy regimen, take an antihistamine, a nasal steroid or see an allergy specialist.

Charcoal or gray phlegm

We tend to see charcoal or sooty-looking phlegm in people who work in coal mines and factories or are really heavy smokers.

If you work in a factory where there’s a ton of smoke and you don’t wear a mask, you’re inhaling all that in and it’s causing an inflammatory reaction in your airways that produces phlegm. The irritants are mixed in with the phlegm and when you cough, it comes out.

Same thing with cigarette smoking  — sometimes we see patients who are smoking two to three packs a day who have a productive cough. A lot of times, they’ll have a little bit of gray or smoky tinge to their phlegm because of the smoking.

If you have symptoms of an infection, we’ll give you both antibiotics and some steroids in certain cases to get the inflammation down. If it’s simply related to occupational exposure (you work in a smoky environment or construction and aren’t being diligent about wearing masks), we’ll tell you to be more careful with practicing occupational safety by wearing the appropriate personal protective equipment.

Brown phlegm

Sometimes, people who have significant chronic lung disease can cough up a brownish or sticky-looking phlegm that’s a little rarer than the traditional colors. Really dark brown, sticky phlegm is seen in patients who have cystic fibrosis or bronchiectasis , which is a chronic lung disease. The phlegm is brown because of blood and the intense chronic inflammation that comes with the chronic disease state. The bacteria camp out inside the lungs and cause very gradual changes in the consistency and appearance of phlegm.

If you have chronic lung disease, you may be used to seeing brown phlegm. In those situations that we call an acute exacerbation of your underlying cystic fibrosis or bronchiectasis, you may require antibiotics. If you have resistant bacteria growing in your lungs, you may need to have IV antibiotics or an aggressive regimen to keep things under control.

How long will the phlegm last?

The duration of the phlegm in your system depends on the cause.

• For bacterial infections, even without antibiotics, it can be self-limiting and will go away in 10 to 14 days.
• Viral infections can last a little longer, so sometimes up to three weeks, depending on the season.
• Inflammatory conditions like asthma and COPD typically don’t necessarily get better unless the disease is treated more aggressively.

Remember, your body is doing its job when phlegm is being produced. It shows that it’s addressing some sort of assault, be it an infection or an allergy or an irritant that’s in your lungs or your sinuses — that’s how your body fights those assaults.

The first step in the journey to your best health begins with a primary care provider who cares

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China | What does China-US interest rate reversion mean for China’s credit market?

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Published on Tuesday, June 18, 2024

The historically large China-US rate reversion triggered corporations to finance their businesses in RMB due to its lower funding costs compared to USD, which had been the historical norm for corporate financing.

• Key points:
• The diverging monetary policy between China and the US in the post-pandemic time has led to historically large China-US rate reversion.
• The recent China-US rate reversion urged the change of funding currency to RMB in corporate financing business from USD.
• There has been a notable decline in total USD loans, encompassing both conventional loans and syndicated loans.
• Chinese corporates have shifted their focus towards financing their business in RMB, as the funding costs of RMB have now become lower than those of USD, not only in bank borrowing but also in bond financing.
• We also analyze whether the China-US rate reversion will persist, and if not, when it will normalize. And we believe due to the unsynchronized monetary policy, the reversion back will happen probably in mid-2026.

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Published: 27 October 2023

Cybersecurity refers to any technology, measure or practice for preventing cyberattacks or mitigating their impact. 

Cybersecurity aims to protect individuals’ and organizations’ systems, applications, computing devices, sensitive data and financial assets against computer viruses, sophisticated and costly ransomware attacks, and more.

Cyberattacks have the power to disrupt, damage or destroy businesses, and the cost to victims keeps rising. For example, according to IBM's Cost of a Data Breach 2023 report, 

• The average cost of a data breach in 2023 was USD 4.45 million, up 15% over the last three years;
• The average cost of a ransomware-related data breach in 2023 was even higher, at USD 5.13 million. This number does not include the cost of the ransom payment, which averaged an extra USD 1,542,333, up 89% from the previous year. 

By one estimate, cybercrime might cost the world economy  USD 10.5 trillion per year by 2025  (link resides outside ibm.com). 1

The expanding information technology (IT) trends of the past few years include:

• a rise in cloud computing adoption,
• network complexity,
• remote work and work from home,
• bring your own device (BYOD) programs,
• and connected devices and sensors in everything from doorbells to cars to assembly lines.

All these trends create tremendous business advantages and human progress, but also provide exponentially more opportunities for cybercriminals to attack.

Not surprisingly, a recent study found that the global cybersecurity worker gap—the gap between existing cybersecurity workers and cybersecurity jobs that need to be filled—was 3.4 million workers worldwide. 2 Resource-strained security teams are focusing on developing comprehensive cybersecurity strategies that use advanced analytics, artificial intelligence and automation to fight cyberthreats more effectively and minimize the impact of cyberattacks.

The X-Force Threat Intelligence Index offers new insights into top threats to help you prepare and respond faster to cyberattacks, extortion and more.

Register for the Cost of a Data Breach report

A strong cybersecurity strategy protects all relevant IT infrastructure layers or domains against cyberthreats and cybercrime.

Critical infrastructure security protects the computer systems, applications, networks, data and digital assets that a society depends on for national security, economic health and public safety. In the United States, the National Institute of Standards and Technology (NIST) developed a cybersecurity framework to help IT providers in this area. The US Department of Homeland Security’ Cybersecurity and Infrastructure Security Agency (CISA) provides extra guidance.

Network security prevents unauthorized access to network resources, and detects and stops cyberattacks and network security breaches in progress. At the same time, network security helps ensure that authorized users have secure and timely access to the network resources they need.

Endpoints—servers, desktops, laptops, mobile devices—remain the primary entry point for cyberattacks. Endpoint security protects these devices and their users against attacks, and also protects the network against adversaries who use endpoints to launch attacks.

Application security protects applications running on-premises and in the cloud, preventing unauthorized access to and use of applications and related data. It also prevents flaws or vulnerabilities in application design that hackers can use to infiltrate the network. Modern application development methods—such as  DevOps and DevSecOps —build security and security testing into the development process.

Cloud security secures an organization’s cloud-based services and assets—applications, data, storage, development tools, virtual servers and cloud infrastructure. Generally speaking, cloud security operates on the shared responsibility model where the cloud provider is responsible for securing the services that they deliver and the infrastructure that is used to deliver them. The customer is responsible for protecting their data, code and other assets they store or run in the cloud. The details vary depending on the cloud services used.

Information security (InfoSec) pertains to protection of all an organization's important information—digital files and data, paper documents, physical media, even human speech—against unauthorized access, disclosure, use or alteration. Data security, the protection of digital information, is a subset of information security and the focus of most cybersecurity-related InfoSec measures.

Mobile security encompasses various disciplines and technologies specific to smartphones and mobile devices, including mobile application management (MAM) and enterprise mobility management (EMM). More recently, mobile security is available as part of unified endpoint management (UEM) solutions that enable configuration and security management for multiple endpoints—mobile devices, desktops, laptops, and more—from a single console.

Malware—short for "malicious software"—is any software code or computer program that is written intentionally to harm a computer system or its users. Almost every modern  cyberattack  involves some type of malware.

Hackers and cybercriminals create and use malware to gain unauthorized access to computer systems and sensitive data, hijack computer systems and operate them remotely, disrupt or damage computer systems, or hold data or systems hostage for large sums of money (see Ransomware).

Ransomware is a type of  malware  that encrypts a victim’s data or device and threatens to keep it encrypted—or worse—unless the victim pays a ransom to the attacker. According to the  IBM Security X-Force Threat Intelligence Index 2023 , ransomware attacks represented 17 percent of all  cyberattacks  in 2022.

“Or worse” is what distinguishes today's ransomware from its predecessors. The earliest ransomware attacks demanded a single ransom in exchange for the encryption key. Today, most ransomware attacks are double extortion attacks, demanding a second ransom to prevent sharing or publication of the victims data. Some are triple extortion attacks that threaten to launch a distributed denial of service attack if ransoms aren’t paid.

Phishing attacks are email, text or voice messages that trick users into downloading malware, sharing sensitive information or sending funds to the wrong people. Most users are familiar with bulk phishing scams—mass-mailed fraudulent messages that appear to be from a large and trusted brand, asking recipients to reset their passwords or reenter credit card information. But more sophisticated phishing scams, such as spear phishing and business email compromise (BEC) , target specific individuals or groups to steal especially valuable data or large sums of money.

Phishing is just one type of social engineering —a class of ‘human hacking’ tactics and attacks that use psychological manipulation to tempt or pressure people into taking unwise actions.

Insider threats are threats that originate with authorized users—employees, contractors, business partners—who intentionally or accidentally misuse their legitimate access, or have their accounts hijacked by cybercriminals. Insider threats can be harder to detect than external threats because they have the earmarks of authorized activity, and are invisible to antivirus software, firewalls and other security solutions that block external attacks.

One of the more persistent cybersecurity myths is that all cybercrime comes from external threats. In fact, according to a recent study, 44% of insider threats are caused by malicious actors, and the average cost per incident for malicious insider incidents in 2022 was USD 648,062. 3 Another study found that while the average external threat compromises about 200 million records, incidents involving an inside threat actor resulted in exposure of one billion records or more. 4

A DDoS attack attempts to crash a server, website or network by overloading it with traffic, usually from a botnet—a network of multiple distributed systems that a cybercriminal hijacks by using malware and remote-controlled operations.

The global volume of DDoS attacks spiked during the COVID-19 pandemic. Increasingly, attackers are combining DDoS attacks with ransomware attacks, or simply threatening to launch DDoS attacks unless the target pays a ransom.

Despite an ever-increasing volume of cybersecurity incidents worldwide and ever-increasing volumes of learnings that are gleaned from them, some dangerous misconceptions persist.

Strong passwords alone are adequate protection . Strong passwords make a difference. For example, a 12-character password takes 62 trillion times longer to crack than a 6-character password. But because cybercriminals can steal passwords (or pay disgruntled employees or other insiders to steal them), they can’t be an organization’s or individual’s only security measure.  

The major cybersecurity risks are well known . In fact, the risk surface is constantly expanding. Thousands of new vulnerabilities are reported in old and new applications and devices every year. Opportunities for human error—specifically by negligent employees or contractors who unintentionally cause a data breach—keep increasing.  

All cyberattack vectors are contained . Cybercriminals are finding new attack vectors all the time—including Linux systems, operational technology (OT), Internet of Things (IoT) devices and cloud environments.  

‘My industry is safe.’ Every industry has its share of cybersecurity risks, with cyber adversaries exploiting the necessities of communication networks within almost every government and private-sector organization. For example, ransomware attacks are targeting more sectors than ever, including local governments, non-profits and healthcare providers. Threats on supply chains, ".gov" websites, and critical infrastructure have also increased.  

Cybercriminals don’t attack small businesses . Yes, they do. For example, in 2021, 82 percent of ransomware attacks targeted companies with fewer than 1,000 employees; 37 percent of companies attacked with ransomware had fewer than 100 employees. 5

The following best practices and technologies can help your organization implement strong cybersecurity that reduces your vulnerability to cyberattacks and protects your critical information systems without intruding on the user or customer experience.

Security awareness training helps users understand how seemingly harmless actions—from using the same simple password for multiple log-ins, to oversharing on social media—increases their own or their organization’s risk of attack. Security awareness training combined with thought-out data security  policies can help employees protect sensitive personal and organizational data. It can also help them recognize and avoid phishing and malware attacks.

Identity and access management (IAM) defines the roles and access privileges for each user, and the conditions under which they are granted or denied their privileges. IAM technologies include  multi-factor authentication , which requires at least one credential in addition to a username and password, and adaptive authentication, which requires more credentials depending on context. 

Attack surface management (ASM) is the continuous discovery, analysis, remediation and monitoring of the cybersecurity vulnerabilities and potential attack vectors that make up an organization’s attack surface . Unlike other cyberdefense disciplines, ASM is conducted entirely from a hacker’s perspective, rather than the perspective of the defender. It identifies targets and assesses risks based on the opportunities they present to a malicious attacker.

Organizations rely on analytics- and AI-driven technologies to identify and respond to potential or actual attacks in progress because it's impossible to stop all cyberattacks. These technologies can include (but are not limited to) security information and event management (SIEM) , security orchestration, automation and response (SOAR) , and endpoint detection and response (EDR) . Typically, these technologies are used as part of a formal incident response plan.

Disaster recovery capabilities often play a key role in maintaining business continuity in the event of a cyberattack. For example, the ability to fail over to a backup that is hosted in a remote location can enable a business to resume operations quickly following a ransomware attack (and sometimes without paying a ransom).

AI-driven unified endpoint management (UEM) protects your devices, apps, content and data. This protection means you can rapidly scale your remote workforce and bring-your-own-device (BYOD) initiatives while building a zero trust security strategy. 

Proactive threat hunting, continuous monitoring and a deep investigation of threats are just a few of the priorities facing an already busy IT department. Having a trusted incident response team on standby can reduce your response time, minimize the impact of a cyberattack, and help you recover faster.

Implemented on premises or in a hybrid cloud, IBM data security solutions help you investigate and remediate cyberthreats, enforce real-time controls and manage regulatory compliance.

Proactively protect your organization’s primary and secondary storage systems against ransomware, human error, natural disasters, sabotage, hardware failures and other data loss risks.

Be better prepared for breaches by understanding their causes and the factors that increase or reduce costs. Learn from the experiences of more than 550 organizations that were hit by a data breach.

SIEM (security information and event management) is software that helps organizations recognize and address potential security threats and vulnerabilities before they can disrupt business operations.

Know the threat to beat the threat—get actionable insights that help you understand how threat actors are waging attacks, and how to proactively protect your organization.

Understand your cybersecurity landscape and prioritize initiatives together with senior IBM security architects and consultants in a no-cost, virtual or in-person, 3-hour design thinking session.

Threat management is a process used by cybersecurity professionals to prevent cyberattacks, detect cyber threats and respond to security incidents.

Find insights for rethinking your ransomware defenses and building your ability to remediate an evolving ransomware situation more rapidly.

IBM cybersecurity services deliver advisory, integration and managed security services and offensive and defensive capabilities. We combine a global team of experts with proprietary and partner technology to co-create tailored security programs that manage risk.

1  Cybercrime threatens business growth. Take these steps to mitigate your risk.  (link resides outside ibm.com)

2  Bridging the 3.4 million workforce gap in cybersecurity (link resides outside ibm.com)

3  2022 Ponemon Cost of Insider Threats Global Report  (link resides outside ibm.com)

4  Verizon 2023 Data Breach Investigations Report  (link resides outside ibm.com)

5   82% of Ransomware Attacks Target Small Businesses, Report Reveals  (link resides outside ibm.com)