research problem in meaning

How to formulate research problems?

June 16, 2023 4 min read

One of the most important steps in the research process is formulating a research problem. It establishes the framework for the whole study and directs the researcher in determining the research’s emphasis, scope, and goals. An effective research technique may be created with the support of a clearly defined research topic, which also aids in the generation of pertinent research questions.

This article will provide a general overview of the procedure involved in defining research problems, highlighting important considerations and steps researchers should take to formulate precise and insightful research problems.

What is a research problem?

It refers to a specific topic, problem, or knowledge gap that a researcher aims to study and address through a systematic inquiry. It establishes the foundation for a research project and guides the entire investigation.

When creating a research problem, researchers often start with a topic of interest before focusing on a particular issue or question. A substantial, relevant, and original challenge adds to the corpus of knowledge and has real-world applications.

A clearly stated research topic aids in the concentration of research resources and efforts, permits the development of an effective research technique, and directs the evaluation and interpretation of data acquired. It also helps in developing research goals and hypotheses by giving the investigation a distinct direction.

For instance, a research problem could be “What are the causes leading to the decline of bee populations in urban areas?” — This study challenge addresses a particular set of urban regions and draws attention to the problem of dwindling bee numbers. By focusing on this issue, researchers may analyze the various reasons for the loss, analyze how it affects the environment, and suggest conservation tactics.

Characteristics of an effective research problem

An effective research problem possesses several essential qualities that enhance its quality and suitability for examination. The key characteristics of a strong research problem are:

Significance

Should address an important issue or knowledge gap in the field of study, contributing to the existing body of knowledge.

Should be precisely stated, avoiding vague or overly general statements and providing a clear and concise description. This clarity enables the definition of research objectives and hypotheses and guides the research process.

Feasibility

Should be feasible in terms of the available time, resources, and skills. It can be realistically pursued, given the researcher’s capabilities and study circumstances. Sufficient data, research tools, and potential exploration paths should be reasonably accessible.

Should explore new facets, angles, or dimensions of the subject, offering fresh perspectives or approaches. This characteristic promotes intellectual progress and distinguishes the research from previous investigations.

Measurability

Should be formulated in a way that allows for empirical examination and the generation of quantifiable results. Data can be systematically collected and analyzed to answer the research questions or achieve the research goals, enhancing the objectivity and rigor of the research process.

Relevance and applicability

Should address relevant issues or help develop useful guidelines, regulations, or actions. It is more effective when it impacts multiple stakeholders and has the potential to produce practical results.

Interest and motivation

Should be intellectually engaging and interesting to the researcher and the academic community. It sparks curiosity and encourages further research, leading to high-quality research output.

Ethical consideration

Should adhere to ethical principles and rules, considering the welfare and rights of participants or subjects involved in the study.

ALSO READ: What is research design?

Types of research problems.

Research problems can be categorized into different types based on their nature and scope. The three most common types are:

Theoretical

It involves using theoretical frameworks, concepts, and models to investigate a subject or event. Theoretical research aims to extend existing knowledge, address unsolved disputes or gaps, or critique and evaluate preexisting theories.

It focuses on specific problems or challenges within a particular industry or sector and aims to provide practical solutions through systematic research. Applied research aims to bridge the gap between theory and practical application, optimizing existing processes, technologies, products, or services.

Action research combines research and action to address real-world issues. It encompasses problem-solving in various contexts, such as organizations, education, community development, policy implementation, and personal or professional development. Action research is flexible and can be tailored to different situations and issues.

Importance of research problems

Research problems play a vital role in shaping the direction and course of an investigation. They serve as the foundation for the entire research process, guiding researchers in their pursuit of knowledge and advancement in a specific field. The importance of research problems lies in the following:

Identifying knowledge gaps

Research problems help identify areas where knowledge is lacking or incomplete, highlighting the need for further investigation and addressing unanswered questions.

Providing direction

A well-defined research problem gives the research project focus and direction. It aids in the development of an effective research design, technique and the establishment of research objectives and questions.

Justifying the study’s significance

A clear research problem helps researchers justify the value and importance of their study by emphasizing its relevance, potential benefits, and contributions to the field.

Facilitating problem-solving and decision-making

Research problems often stem from real-world challenges or problems. By examining these problems, researchers can develop innovative ideas, methods, or strategies to solve practical issues or guide decision-making.

Advancing theory and knowledge

Research problems serve as a basis for developing new concepts, hypotheses, or models. By addressing research challenges, researchers contribute to understanding a subject, debunk preexisting beliefs, or propose new hypotheses.

Promoting intellectual curiosity and innovation

Research problems encourage intellectual curiosity and innovation by pushing researchers to explore fresh perspectives and methodologies. By encouraging critical thinking, generating original ideas, and developing unique research approaches, research problems foster innovation and creativity.

ALSO READ: The basics of market research

5 steps to formulate research problems.

Formulating research problems is a crucial initial step in conducting purposeful and targeted research. Here are five steps to follow:

Identify the broad research area

Determine the broad subject or field that interests you, considering discipline-specific topics or specific phenomena.

Conduct a literature review

Review existing literature and research in your chosen field to understand the current knowledge level and identify gaps or unsolved issues and areas requiring further research. Read relevant scholarly publications, books, and articles to gain a comprehensive understanding.

Narrow down the focus

Based on the literature review, select a specific component or subject within your chosen research field. Look for inconsistencies, contradictions, or open-ended questions in the existing literature that can present challenges for future research. Refine your research topic and focus it on a single problem or phenomenon.

Define clear objectives

Establish clear and concise research objectives that outline your investigation’s specific aims or outcomes. SMART (specific, measurable, attainable, relevant, and time-bound) objectives help maintain focus and guide the research process effectively.

Formulate research questions

Create distinct research questions or hypotheses that align with your research problem and objectives. Qualitative research often utilizes research questions, while quantitative research employs hypotheses. Ensure these inquiries or hypotheses are precise, concise, and aimed at addressing the stated research problem.

Remember that formulating research problems is an iterative process. As you learn more about the topic and develop new ideas, it can need several changes and improvements. You may establish a solid basis for your study and improve your chances of performing fruitful and influential research by adhering to these recommendations and continually improving your research problem.

Researchers can create precise and insightful research problems that add to the body of knowledge and progress in their particular fields of study by using the procedures described in this article. A research problem outlines the precise field of inquiry and knowledge gaps that the research attempts to address, defining the scope and objective of a study.

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Identifying a Research Problem

This InfoGuide assists students starting their research proposal and literature review.

• Introduction
• Research Process
• Types of Research Methodology
• Data Collection Methods
• Anatomy of a Scholarly Article
• Finding a topic
• Problem Statement
• Research Question
• Research Design
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• Writing a Literature Review
• Writing a Research Proposal

A  research problem  is a specific issue or gap in existing knowledge that you aim to address in your research. You may look for practical problems aimed at contributing to change or theoretical problems aimed at expanding knowledge.

Some research will do both of these things, but usually, the research problem focuses on one or the other. The research problem you choose depends on your broad  topic  of interest and the  type of research  you think will fit best.

This section helps you identify and refine a research problem. When writing your  research proposal  or  introduction , formulate it as a  problem statement  and/or  research questions .

Research Problems Steps

Why is the research problem important?

Having an interesting topic isn’t a strong enough basis for academic research. Without a well-defined research problem, you will likely end up with an unfocused and unmanageable project.

You might end up repeating what other people have already said, trying to say too much, or doing research without a clear purpose and justification. You need a clear problem to research that contributes new and relevant insights.

Whether planning your  thesis , starting a  research paper , or writing a  research proposal , the research problem is the first step towards knowing exactly what you’ll do and why.

Identify a broad problem area As you read about your topic, look for under-explored aspects or areas of concern, conflict, or controversy. Your goal is to find a gap that your research project can fill.

Practical research problems If you are doing practical research, you can identify a problem by reading reports, following up on previous research, or talking to people who work in the relevant field or organization. You might look for:

• Issues with performance or efficiency
• Processes that could be improved
• Areas of concern among practitioners
• Difficulties faced by specific groups of people Examples of practical research problems
• Voter turnout in New England has been decreasing, in contrast to the rest of the country.
• The HR department of a local chain of restaurants has a high staff turnover rate.

A non-profit organization faces a funding gap that means some of its programs will have to be cut

Theoretical research problems If you are doing theoretical research, you can identify a research problem by reading existing research, theory, and debates on your topic to find a gap in what is currently known about it. You might look for:

• A phenomenon or context that has not been closely studied
• A contradiction between two or more perspectives
• A situation or relationship that is not well understood
• A troubling question that has yet to be resolved Examples of theoretical research problems
• The effects of long-term Vitamin D deficiency on cardiovascular health are not well understood.
• The relationship between gender, race, and income inequality has yet to be closely studied in the context of the millennial gig economy
• Historians of Scottish nationalism disagree about the role of the British Empire in developing Scotland’s national identity.

Learn more about the problem Next, you have to find out what is already known about the problem and pinpoint the exact aspect that your research will address. Context and background

• Who does the problem affect?
• Is it a newly-discovered problem, or a well-established one?
• What research has already been done?
• What, if any, solutions have been proposed?
• What are the current debates about the problem? What is missing from these debates?

Specificity and relevance

• What particular place, time, and/or group of people will you focus on?
• What aspects will you not be able to tackle?
• What will the consequences be if the problem is not resolved Example of a specific research problem A local non-profit organization that alleviates food insecurity has always fundraised from its existing support base. It lacks an understanding of how best to target potential new donors. To continue its work, the organization requires research into more effective fundraising strategies.

Once you have narrowed down your research problem, the next step is to formulate a  problem statement , as well as your  research questions  or  hypotheses .

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Research Problem – Explanation & Examples

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A research problem sets the course of investigation in any research process . It can probe practical issues with the aim of suggesting modifications, or scrutinize theoretical quandaries to augment the current understanding in a discipline.

In this article, we delve into the crucial role of a research problem in the research process, as well as offer guidance on how to properly articulate it to steer your research endeavors.

Inhaltsverzeichnis

• 1 Research Problem – In a Nutshell
• 2 Definition: Research problem
• 3 Why is the research problem important?
• 4 Step 1: Finding a general research problem area
• 5 Step 2: Narrowing down the research problem
• 6 Example of a research problem

Research Problem – In a Nutshell

• A research problem is an issue that raises concern about a particular topic.
• Researchers formulate research problems by examining other literature on the topic and assessing the significance and relevance of the problem.
• Creating a research problem involves an overview of a broad problem area and then narrowing it down to the specifics by creating a framework for the topic.
• General problem areas used in formulating research problems include workplace and theoretical research.

Definition: Research problem

A research problem is a specific challenge or knowledge gap that sets the foundation for research. It is the primary statement about a topic in a field of study, and the findings from a research undertaking provide solutions to the research problem.

The research problem is the defining statement that informs the sources and methodologies to be applied to find and recommend proposals for the area of contention.

Why is the research problem important?

Research should adopt a precise approach for analysis to be relevant and applicable in a real-world context. Researchers can pick any area of study, and in most cases, the topic in question will have a broad scope; a well-formulated problem forms the basis of a strong research paper which illustrates a clear focus.

Writing a research problem is the first step in planning for a research paper, and a well-structured problem prevents a runaway project that lacks a clear direction.

Step 1: Finding a general research problem area

Your primary goal should be to find gaps and meaningful ways your research project offers a solution to a problem or broadens the knowledge bank in the field.

A good approach is to read and hold discussions about the topic , identify areas with insufficient information, highlight areas of contention and form more in-depth conclusions in under-researched areas.

Workplace research

You can carry out workplace research using a practical approach . This aims to identify a problem by analyzing reports, engaging with people in the organization or field of interest, and examining previous research. Some pointers include:

• Efficiency and performance-related issues within an organization.
• Areas or processes that can be improved in the organization.
• Matters of concern among professionals in the field of study.
• Challenges faced by identifiable groups in society.
• Crime in a particular region has been decreasing compared to the rest of the country.
• Stores in one location of a chain have been reporting lower sales in contrast with others in other parts of the country.
• One subsidiary of a company is experiencing high staff turnover, affecting the group’s bottom line.

In theoretical research , researchers aim to offer new insights which contribute to the larger knowledge body in the field rather than proposing change. You can formulate a problem by studying recent studies, debates, and theories to identify gaps. Identifying a research problem in theoretical research may examine the following:

• A context or phenomenon that has not been extensively studied.
• A contrast between two or more thought patterns.
• A position that is not clearly understood.
• A bothersome scenario or question that remains unsolved.

Theoretical problems don’t focus on solving a practical problem but have practical implications in their field. Many theoretical frameworks offer a guide to other practical and applied research scenarios.

• The relationship between genetics and mental issues in adulthood is not clearly understood.
• The effects of racial differences in long-term relationships are yet to be investigated in the modern dating scene.
• Social scientists disagree on the impact of neocolonialism on the socio-economic conditions of black people.

Step 2: Narrowing down the research problem

After identifying a general problem area, you need to zero in on the specific aspect you want to analyze further in the context of your research.

The problem can be narrowed down using the following criteria to create a relevant problem whose solutions adequately answer the research questions . Some questions you can ask to understand the contextual framework of the research problem include:

Significance

Evaluating the significance of a research problem is a necessary step for identifying issues that contribute to the solution of an issue. There are several ways of determining the significance of a research problem. The following questions can help you to evaluate the significance and relevance of a proposed research problem:

• Which area, group or time do you plan to situate your study?
• What attributes will you examine?
• What is the repercussion of not solving the problem?
• Who stands to benefit if the problem is resolved?

Example of a research problem

A fashion retail chain is attempting to increase the number of visitors to its stores, but the management is unaware of the measures to achieve this.

To improve its sales and compete with other chains, the chain requires research into ways of increasing traffic in its stores.

By narrowing down the research problem, you can create the problem statement , hypothesis , and relevant research questions .

What is an example of a research problem?

There has been an upward trend in the immigration of professionals from other countries to the UK. Research is needed to determine the likely causes and effects.

How do you formulate a research problem?

Begin by examining available sources and previous research on your topic of interest. You can narrow down the scope from the literature or observable phenomenon and focus on under-researched areas.

How can you determine the significance of a research problem?

Investigate the specific aspects you would like to investigate. Furthermore, you can determine the consequences of the problem remaining unresolved and the biggest beneficiaries if a solution is found.

What is the context in a research problem?

Context refers to the nature of the problem. It entails studying existing work on the issue, who is affected by it, and the proposed solutions.

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2.1A: Defining the Problem

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Defining a sociological problem helps frame a question to be addressed in the research process.

Learning Objectives

• Explain how the definition of the problem relates to the research process
• The first step of the scientific method is to ask a question, describe a problem, and identify the specific area of interest. The topic should be narrow enough to study within the context of a particular test but also broad enough to have a more general practical or theoretical merit.
• For many sociologists, the goal is to conduct research which may be applied directly to social policy and welfare, while others focus primarily on refining the theoretical understanding of social processes. Subject matter ranges from the micro level to the macro level.
• Like other sciences, sociology relies on the systematic, careful collection of measurements or counts of relevant quantities to be considered valid. Given that sociology deals with topics that are often difficult to measure, this generally involves operationalizing relevant terms.
• operational definition : A showing of something — such as a variable, term, or object — in terms of the specific process or set of validation tests used to determine its presence and quantity.
• operationalization : In humanities, operationalization is the process of defining a fuzzy concept so as to make the concept clearly distinguishable or measurable and to understand it in terms of empirical observations.

Defining the problem is necessarily the first step of the research process. After the problem and research question is defined, scientists generally gather information and other observations, form hypotheses, test hypotheses by collecting data in a reproducible manner, analyze and interpret that data, and draw conclusions that serve as a starting point for new hypotheses.

The first step of the scientific method is to ask a question, describe a problem, and identify the specific area of interest. The topic should be narrow enough to study within the context of a particular test but also broad enough to have a more general practical or theoretical merit. For many sociologists, the goal is to conduct research which may be applied directly to social policy and welfare, while others focus primarily on refining the theoretical understanding of social processes. Subject matter ranges from the micro level of individual agency and interaction to the macro level of systems and the social structure.

Like other sciences, sociology relies on the systematic, careful collection of measurements or counts of relevant quantities to be considered valid. Given that sociology deals with topics that are often difficult to measure, this generally involves operationalizing relevant terms. Operationalization is a process that describes or defines a concept in terms of the physical or concrete steps it takes to objectively measure it, as opposed to some more vague, inexact, or idealized definition. The operational definition thus identifies an observable condition of the concept. By operationalizing a variable of the concept, all researchers can collect data in a systematic or replicable manner.

For example, intelligence cannot be directly quantified. We cannot say, simply by observing, exactly how much more intelligent one person is than another. But we can operationalize intelligence in various ways. For instance, we might administer an IQ test, which uses specific types of questions and scoring processes to give a quantitative measure of intelligence. Or we might use years of education as a way to operationalize intelligence, assuming that a person with more years of education is also more intelligent. Of course, others might dispute the validity of these operational definitions of intelligence by arguing that IQ or years of education are not good measures of intelligence. After all, a very intelligent person may not have the means or inclination to pursue higher education, or a less intelligent person may stay in school longer because they have trouble completing graduation requirements. In most cases, the way we choose to operationalize variables can be contested; few operational definitions are perfect. But we must use the best approximation we can in order to have some sort of measurable quantity for otherwise unmeasurable variables.

Operationalizing Variables : This video discusses what it means to operationalize a variable using the example of “good health. ”

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How to Write a Statement of the Problem in Research

Table of Contents

The problem statement is a foundation of academic research writing , providing a precise representation of an existing gap or issue in a particular field of study.

Crafting a sharp and focused problem statement lays the groundwork for your research project.

• It highlights the research's significance .
• Emphasizes its potential to influence the broader academic community.
• Represents the initial step for you to make a meaningful contribution to your discipline.

Therefore, in this article, we will discuss what is a statement of the problem in research and how to craft a compelling research problem statement.

What is a research problem statement?

A research problem statement is a concise, clear, and specific articulation of a gap in current knowledge that your research aims to bridge. It not only sets forth the scope and direction of your research but also establishes its relevance and significance.

Your problem statement in your research paper aims to:

• Define the gap : Clearly identify and articulate a specific gap or issue in the existing knowledge.
• Provide direction : Serve as a roadmap, guiding the course of your research and ensuring you remain focused.
• Establish relevance : Highlight the importance and significance of the problem in the context of your field or the broader world.
• Guide inquiry :  Formulate the research questions or hypotheses you'll explore.
• Communicate intent : Succinctly convey the core purpose of your research to stakeholders, peers, and any audience.
• Set boundaries : Clearly define the scope of your research to ensure it's focused and achievable.

When should you write a problem statement in research?

Initiate your research by crafting a clear problem statement. This should be done before any data collection or analysis, serving as a foundational anchor that clearly identifies the specific issue you aim to address.

By establishing this early on, you shape the direction of your research, ensuring it targets a genuine knowledge gap.

Furthermore, an effective and a concise statement of the problem in research attracts collaborators, funders, and supporters, resonating with its clarity and purpose. Remember, as your research unfolds, the statement might evolve, reflecting new insights and staying pertinent.

But how do you distinguish between a well-crafted problem statement and one that falls short?

Effective vs. ineffective research problem statements

Imagine a scenario where medical researchers aim to tackle a new strain of virus. Their effective problem statement wouldn't merely state the existence of the virus. Instead, it would delve into the specifics — the regions most affected, the demographics most vulnerable, and the current limitations in medical interventions.

Whereas an ineffective research problem statement is vague, overly broad, or ambiguous, failing to provide a clear direction for the research. It may not be rooted in existing literature, might lack clarity on its significance, or could be framed in a way that makes the research objectives unachievable or irrelevant.

To understand it better, let's consider the topic of “Remote work and employee productivity.”

Effective problem statement

“Over the past decade, there has been a 70% increase in organizations adopting remote work policies. While some studies suggest remote work enhances employee productivity, others indicate potential declines due to distractions at home.

However, there’s a lack of comprehensive research examining the specific factors in a remote environment that influence productivity. This study aims to identify and analyze these factors, providing organizations with actionable insights to optimize remote work policies.”

Why is this statement of a problem in research effective?

• Specificity : The statement provides a clear percentage to highlight the rise in remote work.
• Context : It acknowledges existing research and the conflicting findings.
• Clear gap identification : It points out the lack of comprehensive research on specific factors affecting productivity in remote work.
• Purpose : The statement concludes with a clear aim for the research.

Ineffective problem statement

"People are working from home a lot now, especially since there are so many internet tools. Some say it's good; others say it's not that great. This research will just look into the whole work-from-home thing and see what's up."

Why is this statement of a problem in research ineffective?

• Informal language : Phrases like "what's up" and "the whole work-from-home thing" are not suitable for academic writing.
• Vagueness : The statement doesn't provide any specific data or context about the rise of remote work.
• Lack of clear focus : It's unclear what aspect of remote work the research will address.
• Ambiguous purpose : The statement doesn't specify the research's objectives or expected outcomes.

After gaining an understanding of what an effective research problem statement looks like, let's dive deeper into how to write one.

How to write a problem statement in research?

Drafting your research problem statement at the onset of your research journey ensures that your research remains anchored. That means by defining and articulating the main issue or challenge you intend to address at the very beginning of your research process; you provide a clear focus and direction for the entire study.

Here's a detailed guide to how you can write an effective statement of the problem in research.

Identify the research area : Before addressing a specific problem, you need to know the broader domain or field of your study. This helps in contextualizing your research and ensuring it aligns with existing academic disciplines.

Example: If you're curious about the effects of digital technology on human behavior, your broader research area might be Digital Sociology or Media Studies.

Conduct preliminary literature review : Familiarize yourself with existing research related to your topic. This will help you understand what's already known and, more importantly, identify gaps or unresolved questions in the existing knowledge. This step also ensures you're advancing upon existing work rather than replicating it.

Example: Upon reviewing literature on digital technology and behavior, you find many studies on social media's impact on youth but fewer on its effects on the elderly.

Read how to conduct an effective literature review .

Define the specific problem : After thoroughly reviewing the literature, pinpoint a particular issue that your research will address. Ensure that this chosen issue is not only of substantial importance in its field but also realistically approachable given your resources and expertise. To define it precisely, you might consider:

• Highlighting discrepancies or contradictions in existing literature.
• Emphasizing the real-world implications of this gap.
• Assessing the feasibility of exploring this issue within your means and timeframe.

Example: You decide to investigate how digital technology, especially social media, affects the mental well-being of the elderly, given the limited research in this area.

Articulate clearly and concisely : Your problem statement should be straightforward and devoid of jargon. It needs to convey the essence of your research issue in a manner that's understandable to both experts and non-experts.

Example: " The impact of social media on the mental well-being of elderly individuals remains underexplored, despite the growing adoption of digital technology in this age group. "

Highlight the significance : Explain why your chosen research problem matters. This could be due to its real-world implications, its potential to fill a knowledge gap or its relevance to current events or trends.

Example: As the elderly population grows and becomes more digitally connected, understanding the psychological effects of social media on this demographic could inform digital literacy programs and mental health interventions.

Ensure feasibility : Your research problem should be something you can realistically study, given your resources, timeframe, and expertise. It's essential to ensure that you can gather data, conduct experiments, or access necessary materials or participants.

Example: You plan to survey elderly individuals in local community centers about their social media usage and perceived mental well-being, ensuring you have the means to reach this demographic.

Seek feedback : Discuss your preliminary problem statement with peers, mentors, or experts in the field. They can provide insights, point out potential pitfalls, or suggest refinements.

Example: After discussing with a gerontologist, you decide to also consider the role of digital training in moderating the effects of social media on the elderly.

Refine and Revise : Based on feedback and further reflection, revise and improve your problem statement. This iterative process ensures clarity, relevance, and precision.

Example: Your refined statement reads: Despite the increasing digital connectivity of the elderly, the effects of social media on their mental well-being, especially in the context of digital training, remain underexplored.

By following these detailed steps, you can craft a research problem statement that is both compelling and academically rigorous.

Having explored the details of crafting a research problem statement, it's crucial to distinguish it from another fundamental element in academic research: the thesis statement.

Difference between a thesis statement and a problem statement

While both terms are central to research, a thesis statement presents your primary claim or argument, whereas a problem statement describes the specific issue your research aims to address.

Think of the thesis statement as the conclusion you're driving towards, while the problem statement identifies a specific gap in current knowledge.

For instance, a problem statement might highlight the rising mental health issues among teenagers, while the thesis statement could propose that increased screen time is a significant contributor.

Refer to the comparison table between what is a thesis and a problem statement in the research below:

Common mistakes to avoid in writing statement of the problem in research

Mistakes in the research problem statement can lead to a domino effect, causing misalignment in research objectives, wasted resources, and even inconclusive or irrelevant results.

Recognizing and avoiding these pitfalls not only strengthens the foundation of your research but also ensures that your efforts concede impactful insights.

Here's a detailed exploration of frequent subjective, qualitative, quantitative and measurable mistakes and how you can sidestep them.

Being too broad or too narrow

A problem statement that's too broad can lack focus, making it challenging to derive specific research questions or objectives. Conversely, a statement that's too narrow might limit the scope of your research or make it too trivial.

Example of mistake: "Studying the effects of diet on health" is too broad, while "Studying the effects of eating green apples at 3 pm on heart health" is overly narrow.

You can refine the scope based on preliminary research. The correct way to write this problem statement will be "Studying the effects of a high-fiber diet on heart health in adults over 50." This statement is neither too broad nor too narrow, and it provides a clear direction for the research.

Using unnecessary jargon or technical language

While academic writing often involves academic terms, overloading your problem statement with jargon can alienate readers and obscure the actual problem.

Example of Mistake: "Examining the diurnal variations in macronutrient ingestion vis-à-vis metabolic homeostasis."

To ensure it’s not complicated, you can simplify and clarify. "Examining how daily changes in nutrient intake affect metabolic balance" conveys the same idea more accessible.

Not emphasizing the "Why" of the problem

It's not enough to state a problem; you must also convey its significance. Why does this problem matter? What are the implications of not addressing it?

Example of Mistake: "Many students are not engaging with online learning platforms."

You can proceed with the approach of highlighting the significance here. "Many students are not engaging with online learning platforms, leading to decreased academic performance and widening educational disparities."

Circular reasoning and lack of relevance

Your problem statement should be grounded in existing research or observed phenomena. Avoid statements that assume what they set out to prove or lack a clear basis in current knowledge.

Example of Mistake: "We need to study X because not enough research has been done on X."

Instead, try grounding your statement based on already-known facts. "While several studies have explored Y, the specific impact of X remains unclear, necessitating further research."

Being overly ambitious

While it's commendable to aim high, your problem statement should reflect a challenge that's achievable within your means, timeframe, and resources.

Example of Mistake: "This research will solve world hunger."

Here, you need to be realistic and focused. "This research aims to develop sustainable agricultural techniques to increase crop yields in arid regions."

By being mindful of these common mistakes, you can craft a problem statement that is clear, relevant and sets a solid foundation for your research.

Over-reliance on outdated data

Using data that is no longer relevant can mislead the direction of your research. It's essential to ensure that the statistics or findings you reference are current and pertinent to the present scenario.

Example of Mistake: "According to a 1995 study, only 5% of the population uses the internet for daily tasks."

You always cross-check the dates and relevance of the data you're using. For a contemporary study on internet usage, you'd want to reference more recent statistics.

Not specifying the sample size or demographic

A problem statement should be clear about the population or sample size being studied, especially when making generalizations or claims.

Example of Mistake: "People prefer online shopping to in-store shopping."

Here, you would benefit from specifying the demographic or sample size when presenting data to avoid overgeneralization. " In a survey of 1,000 urban residents aged 18-35, 70% expressed a preference for online shopping over in-store shopping. "

Ignoring conflicting data

Cherry-picking data that supports your hypothesis while ignoring conflicting data can lead to a biased problem statement.

Example of Mistake: "Research shows that all students benefit from online learning."

You’ve to ensure a balanced view by considering all relevant data, even if it contradicts your hypothesis. " While many studies highlight the advantages of online learning for students, some research points to challenges such as decreased motivation and lack of face-to-face interaction. "

Making unsubstantiated predictions

Projecting future trends without solid data can weaken the credibility of your problem statement.

Example of Mistake: "The demand for electric cars will increase by 500% in the next year."

Base your predictions on current trends and reliable data sources, avoiding hyperbolic or unsupported claims. " With the current growth rate and recent advancements in battery technology, there's potential for a significant rise in the demand for electric cars. "

Wrapping Up

A well-crafted problem statement ensures that your research is focused, relevant, and contributes meaningfully to the broader academic community.

However, the consequences of an incorrect or poorly constructed problem statement can be severe. It can lead to misdirected research efforts, wasted resources, compromised credibility, and even ethical concerns. Such pitfalls underscore the importance of dedicating time and effort to craft a precise and impactful problem statement.

So, as you start your research journey , remember that a well-defined problem statement is not just a starting point; it guides your entire research journey, ensuring clarity, relevance, and meaningful contributions to your field.

Frequently Asked Questions

A problem statement is a clear, concise and specific articulation of a gap in current knowledge that your research aims to bridge.

The Problem Statement should highlight existing gaps in current knowledge and also the significance of the research. It should also include the research question and purpose of the research.

Clear articulation of the problem and establishing relevance; Working thesis (methods to solve the problem); Purpose and scope of study — are the 3 parts of the problem statement.

While the statement of the problem articulates and delineates a particular research problem, Objectives designates the aims, purpose and strategies to address the particular problem.

Here’s an example — “The study aims to identify and analyze the specific factors that impact employee productivity, providing organizations with actionable insights to optimize remote work policies.”

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Research Problem and Questions

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Theoretical Research: Definition, Methods + Examples

Research is the careful study of a particular research problem or concern using the scientific method. A theory is essential for any research project because it gives it direction and helps prove or disprove something. Theoretical basis helps us figure out how things work and why we do certain things.

Theoretical research lets you examine and discuss a research object using philosophical ideas and abstract theoretical structures.

In theoretical research, you can’t look at the research object directly. With the help of research literature, your research aims to define and sketch out the chosen topic’s conceptual models, explanations, and structures.

LEARN ABOUT: Research Process Steps

This blog will cover theoretical research and why it is essential. In addition to that, we are going to go over some examples.

What is the theoretical research?

Theoretical research is the systematic examination of a set of beliefs and assumptions.

It aims to learn more about a subject and help us understand it better. The information gathered in this way is not used for anything in particular because this kind of research aims to learn more.

All professionals, like biologists, chemists, engineers, architects, philosophers, writers, sociologists, historians, etc., can do theoretical research. No matter what field you work in, theoretical research is the foundation for new ideas.

It tries to answer basic questions about people, which is why this kind of research is used in every field of knowledge.

For example , a researcher starts with the idea that we need to understand the world around us. To do this, he begins with a hypothesis and tests it through experiments that will help him develop new ideas. 

What is the theoretical framework?

A theoretical framework is a critical component in research that provides a structured foundation for investigating a specific topic or problem. It encompasses a set of interconnected theories, existing theories, and concepts that guide the entire research process. 

The theoretical framework introduces a comprehensive understanding of the subject matter. Also, the theoretical framework strengthens the research’s validity and specifies the key elements that will be explored. Furthermore, it connects different ideas and theories, forming a cohesive structure that underpins the research endeavor.

A complete theoretical framework consists of a network of theories, existing theories, and concepts that collectively shape the direction of a research study. 

The theoretical framework is the fundamental principle that will be explored, strengthens the research’s credibility by aligning it with established knowledge, specifies the variables under investigation, and connects different aspects of the research to create a unified approach.

Theoretical frameworks are the intellectual scaffolding upon which the research is constructed. It is the lens through which researchers view their subject, guiding their choice of methodologies, data collection, analysis, and interpretation. By incorporating existing theory, and established concepts, a theoretical framework not only grounds the research but also provides a coherent roadmap for exploring the intricacies of the chosen topic.

Benefits of theoretical research

Theoretical research yields a wealth of benefits across various fields, from social sciences to human resource development and political science. Here’s a breakdown of these benefits while incorporating the requested topics:

Predictive power

Theoretical models are the cornerstone of theoretical research. They grant us predictive power, enabling us to forecast intricate behaviors within complex systems, like societal interactions. In political science, for instance, a theoretical model helps anticipate potential outcomes of policy changes.

Understanding human behavior

Drawing from key social science theories, it assists us in deciphering human behavior and societal dynamics. For instance, in the context of human resource development, theories related to motivation and psychology provide insights into how to effectively manage a diverse workforce.

Optimizing workforce

In the realm of human resource development, insights gleaned from theoretical research, along with the research methods knowledge base, help create targeted training programs. By understanding various learning methodologies and psychological factors, organizations can optimize workforce training for better results.

Building on foundations

It doesn’t exist in isolation; it builds upon existing theories. For instance, within the human resource development handbook, theoretical research expands established concepts, refining their applicability to contemporary organizational challenges.

Ethical policy formulation

Within political science, theoretical research isn’t confined to governance structures. It extends to ethical considerations, aiding policymakers in creating policies that balance the collective good with individual rights, ensuring just and fair governance. 

Rigorous investigations

Theoretical research underscores the importance of research methods knowledge base. This knowledge equips researchers in theory-building research methods and other fields to design robust research methodologies, yielding accurate data and credible insights.

Long-term impact

Theoretical research leaves a lasting impact. The theoretical models and insights from key social science theories provide enduring frameworks for subsequent research, contributing to the cumulative growth of knowledge in these fields.

Innovation and practical applications

It doesn’t merely remain theoretical. It inspires innovation and practical applications. By merging insights from diverse theories and fields, practitioners in human resource development devise innovative strategies to foster employee growth and well-being.

Theoretical research method

Researchers follow so many methods when doing research. There are two types of theoretical research methods.

• Scientific methods
• Social science method 

Let’s explore them below:

Scientific method

Scientific methods have some important points that you should know. Let’s figure them out below:

• Observation: Any part you want to explain can be found through observation. It helps define the area of research.
• Hypothesis: The hypothesis is the idea put into words, which helps us figure out what we see.
• Experimentation: Hypotheses are tested through experiments to see if they are true. These experiments are different for each research.
• Theory: When we create a theory, we do it because we believe it will explain hypotheses of higher probability.
• Conclusions: Conclusions are the learnings we derive from our investigation.

Social science methods

There are different methods for social science theoretical research. It consists of polls, documentation, and statistical analysis.

• Polls: It is a process whereby the researcher uses a topic-specific questionnaire to gather data. No changes are made to the environment or the phenomenon where the polls are conducted to get the most accurate results. QuestionPro live polls are a great way to get live audiences involved and engaged.
• Documentation: Documentation is a helpful and valuable technique that helps the researcher learn more about the subject. It means visiting libraries or other specialized places, like documentation centers, to look at the existing bibliography. With the documentation, you can find out what came before the investigated topic and what other investigations have found. This step is important because it shows whether or not similar investigations have been done before and what the results were.
• Statistic analysis : Statistics is a branch of math that looks at random events and differences. It follows the rules that are established by probability. It’s used a lot in sociology and language research. 

Examples of theoretical research

We talked about theoretical study methods in the previous part. We’ll give you some examples to help you understand it better.

Example 1: Theoretical research into the health benefits of hemp

The plant’s active principles are extracted and evaluated, and by studying their components, it is possible to determine what they contain and whether they can potentially serve as a medication.

Example 2: Linguistics research

Investigate to determine how many people in the Basque Country speak Basque. Surveys can be used to determine the number of native Basque speakers and those who speak Basque as a second language.

Example 3: Philosophical research

Research politics and ethics as they are presented in the writings of Hanna Arendt from a theoretical perspective.

LEARN ABOUT: 12 Best Tools for Researchers

From our above discussion, we learned about theoretical research and its methods and gave some examples. It explains things and leads to more knowledge for the sake of knowledge. This kind of research tries to find out more about a thing or an idea, but the results may take time to be helpful in the real world. 

This research is sometimes called basic research. Theoretical research is an important process that gives researchers valuable data with insight.

QuestionPro is a strong platform for managing your data. You can conduct simple surveys to more complex research using QuestionPro survey software.

At QuestionPro, we give researchers tools for collecting data, such as our survey software and a library of insights for any long-term study. Contact our expert team to find out more about it.

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Research is a cyclic process, and it involves many logical developmental steps. The research proposal is like an architect's plan that describes your research project with an economy of words and clarity of expression. The first step towards this is task encounter or selecting the topic of your research.

You need to identify the right research area and choose the right research topic, and this involves going through the process of discovering and then developing your topic. Your research must make some original contribution to the knowledge in that subject area. In order to find a project in your area of interest, you can read the literature, attend professional conferences and seek the advice of experts.

In the  book "Research Projects and Research Proposals"  ( Chapin , 2004),  the author  highlights the different dimensions of topic selection as follows:

• Focused vs. Extended - The research topic, while focused enough to be clear, also must be broad enough to be interesting.
• Novel vs. Grounded - While research must be novel to merit attention it must  also be well-grounded in established scientific knowledge.
• Feasible vs. Challenging - Select a research topic that you can realistically undertake and complete with the time and resources available. The project should be a challenge to carry out, both intellectually and practically
•  Theoretical vs. Empirical - It has  to be  grounded in a theoretical framework and the empirical content of a proposed line of research needs to be clear.

Given below are some websites that provide helpful tips in selecting  a research topic.

How to choose a research topic -  By Dr.Kent Seamons and Gene Spafford

Selecting a Research Topic: Overview  -   MIT libraries

References:

Chapin, P.G. (2004). Research projects and research proposals : A guide for scientists seeking funding . Cambridge, U.K: Cambridge University Press.

The second step after selecting the research topic is to identify the problem in the research area, come up with research questions and formulate the problem statement. The research problem must indicate the purpose of the study and a fundamental understanding of the topic and forms the basis of formulating the research statement. The research statement needs to be more specific and focused and should place the problem into the context that defines the parameters that will be investigated.

The book chapter " Constructing the research problem"  (Florence& Christine, 2001), from the title " Doing Management Research " gives examples of different types of research problems , how to construct  a research problem  and illustrations of it.

References :

(Florence& Christine, 2001) Constructing the research problem. In Thiétart (Eds) Doing  management  research . doi: 10.4135/9781849208970.n2

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Home » Context of the Study – Writing Guide and Examples

Context of the Study – Writing Guide and Examples

Table of Contents

Context of the Study

The context of a study refers to the set of circumstances or background factors that provide a framework for understanding the research question , the methods used, and the findings . It includes the social, cultural, economic, political, and historical factors that shape the study’s purpose and significance, as well as the specific setting in which the research is conducted. The context of a study is important because it helps to clarify the meaning and relevance of the research, and can provide insight into the ways in which the findings might be applied in practice.

Structure of Context of the Study

The structure of the context of the study generally includes several key components that provide the necessary background and framework for the research being conducted. These components typically include:

• Introduction : This section provides an overview of the research problem , the purpose of the study, and the research questions or hypotheses being tested.
• Background and Significance : This section discusses the historical, theoretical, and practical background of the research problem, highlighting why the study is important and relevant to the field.
• Literature Review: This section provides a comprehensive review of the existing literature related to the research problem, highlighting the strengths and weaknesses of previous studies and identifying gaps in the literature.
• Theoretical Framework : This section outlines the theoretical perspective or perspectives that will guide the research and explains how they relate to the research questions or hypotheses.
• Research Design and Methods: This section provides a detailed description of the research design and methods, including the research approach, sampling strategy, data collection methods, and data analysis procedures.
• Ethical Considerations : This section discusses the ethical considerations involved in conducting the research, including the protection of human subjects, informed consent, confidentiality, and potential conflicts of interest.
• Limitations and Delimitations: This section discusses the potential limitations of the study, including any constraints on the research design or methods, as well as the delimitations, or boundaries, of the study.
• Contribution to the Field: This section explains how the study will contribute to the field, highlighting the potential implications and applications of the research findings.

How to Write Context of the study

Here are some steps to write the context of the study:

• Identify the research problem: Start by clearly defining the research problem or question you are investigating. This should be a concise statement that highlights the gap in knowledge or understanding that your research seeks to address.
• Provide background information : Once you have identified the research problem, provide some background information that will help the reader understand the context of the study. This might include a brief history of the topic, relevant statistics or data, or previous research on the subject.
• Explain the significance: Next, explain why the research is significant. This could be because it addresses an important problem or because it contributes to a theoretical or practical understanding of the topic.
• Outline the research objectives : State the specific objectives of the study. This helps to focus the research and provides a clear direction for the study.
• Identify the research approach: Finally, identify the research approach or methodology you will be using. This might include a description of the data collection methods, sample size, or data analysis techniques.

Example of Context of the Study

Here is an example of a context of a study:

Title of the Study: “The Effectiveness of Online Learning in Higher Education”

The COVID-19 pandemic has forced many educational institutions to adopt online learning as an alternative to traditional in-person teaching. This study is conducted in the context of the ongoing shift towards online learning in higher education. The study aims to investigate the effectiveness of online learning in terms of student learning outcomes and satisfaction compared to traditional in-person teaching. The study also explores the challenges and opportunities of online learning in higher education, especially in the current pandemic situation. This research is conducted in the United States and involves a sample of undergraduate students enrolled in various universities offering online and in-person courses. The study findings are expected to contribute to the ongoing discussion on the future of higher education and the role of online learning in the post-pandemic era.

Context of the Study in Thesis

The context of the study in a thesis refers to the background, circumstances, and conditions that surround the research problem or topic being investigated. It provides an overview of the broader context within which the study is situated, including the historical, social, economic, and cultural factors that may have influenced the research question or topic.

Context of the Study Example in Thesis

Here is an example of the context of a study in a thesis:

Context of the Study:

The rapid growth of the internet and the increasing popularity of social media have revolutionized the way people communicate, connect, and share information. With the widespread use of social media, there has been a rise in cyberbullying, which is a form of aggression that occurs online. Cyberbullying can have severe consequences for victims, such as depression, anxiety, and even suicide. Thus, there is a need for research that explores the factors that contribute to cyberbullying and the strategies that can be used to prevent or reduce it.

This study aims to investigate the relationship between social media use and cyberbullying among adolescents in the United States. Specifically, the study will examine the following research questions:

• What is the prevalence of cyberbullying among adolescents who use social media?
• What are the factors that contribute to cyberbullying among adolescents who use social media?
• What are the strategies that can be used to prevent or reduce cyberbullying among adolescents who use social media?

The study is significant because it will provide valuable insights into the relationship between social media use and cyberbullying, which can be used to inform policies and programs aimed at preventing or reducing cyberbullying among adolescents. The study will use a mixed-methods approach, including both quantitative and qualitative data collection and analysis, to provide a comprehensive understanding of the phenomenon of cyberbullying among adolescents who use social media.

Context of the Study in Research Paper

The context of the study in a research paper refers to the background information that provides a framework for understanding the research problem and its significance. It includes a description of the setting, the research question, the objectives of the study, and the scope of the research.

Context of the Study Example in Research Paper

An example of the context of the study in a research paper might be:

The global pandemic caused by COVID-19 has had a significant impact on the mental health of individuals worldwide. As a result, there has been a growing interest in identifying effective interventions to mitigate the negative effects of the pandemic on mental health. In this study, we aim to explore the impact of a mindfulness-based intervention on the mental health of individuals who have experienced increased stress and anxiety due to the pandemic.

Context of the Study In Research Proposal

The context of a study in a research proposal provides the background and rationale for the proposed research, highlighting the gap or problem that the study aims to address. It also explains why the research is important and relevant to the field of study.

Context of the Study Example In Research Proposal

Here is an example of a context section in a research proposal:

The rise of social media has revolutionized the way people communicate and share information online. As a result, businesses have increasingly turned to social media platforms to promote their products and services, build brand awareness, and engage with customers. However, there is limited research on the effectiveness of social media marketing strategies and the factors that contribute to their success. This research aims to fill this gap by exploring the impact of social media marketing on consumer behavior and identifying the key factors that influence its effectiveness.

Purpose of Context of the Study

The purpose of providing context for a study is to help readers understand the background, scope, and significance of the research being conducted. By contextualizing the study, researchers can provide a clear and concise explanation of the research problem, the research question or hypothesis, and the research design and methodology.

The context of the study includes information about the historical, social, cultural, economic, and political factors that may have influenced the research topic or problem. This information can help readers understand why the research is important, what gaps in knowledge the study seeks to address, and what impact the research may have in the field or in society.

Advantages of Context of the Study

Some advantages of considering the context of a study include:

• Increased validity: Considering the context can help ensure that the study is relevant to the population being studied and that the findings are more representative of the real world. This can increase the validity of the study and help ensure that its conclusions are accurate.
• Enhanced understanding: By examining the context of the study, researchers can gain a deeper understanding of the factors that influence the phenomenon under investigation. This can lead to more nuanced findings and a richer understanding of the topic.
• Improved generalizability: Contextualizing the study can help ensure that the findings are applicable to other settings and populations beyond the specific sample studied. This can improve the generalizability of the study and increase its impact.
• Better interpretation of results: Understanding the context of the study can help researchers interpret their results more accurately and avoid drawing incorrect conclusions. This can help ensure that the study contributes to the body of knowledge in the field and has practical applications.

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Different types of research problems and their examples

The identification of the research problem is the first step in the research process. It is similar to the identification of the destination before a journey. It works as the foundation for the whole research process . In the field of social sciences, a research problem is presented in the form of a question. It helps in narrowing down the issue to something reasonable for conducting a study. Defining a research problem serves three main purposes (Pardede, 2018):

• It presents the importance of the research topic.
• It helps the researcher place the problem in a specific context to properly define the parameters of the investigation.
• It provides a framework that can help in presenting the results in the future.

In absolute terms, a research problem can be defined as a statement regarding the area of concern, a condition that needs to be improved, an unresolved question that exists in the literature, a difficulty that needs to be eliminated or any point that needs some meaningful investigation (Gallupe, 2007).

To ideally conclude the research, find logical answers to your research problems.

Descriptive research problems

Descriptive research problems focus on questions like ‘what is ?’, with its main aim to describe the situation, state or the existence of certain specific phenomena. They seek to depict what already exists in a group or population. For such studies, surveys and opinion polls are best suitable because they require systematic observation of social issues.

What are the main factors affecting consumers’ purchase decisions?

These problems use two different ways to collect data- cross-sectional studies and longitudinal studies. Cross-sectional studies provide a snapshot of data at a certain moment in time. On the other hand, longitudinal studies involve a fixed and stable sample that is measured repeatedly over time. However, in both cases, methods that can be used to collect data include mail, online or offline surveys, and interviews. When a researcher is dealing with a descriptive research problem, there can be no manipulation in the variables and hypotheses as they are usually nondirectional (Hashimi, 2015).

Causal research problems

Causal research problems focus on identifying the extent and nature of cause-and-effect relationships. Such research problems help in assessing the impact of some changes on existing norms and processes. They thus identify patterns of relationships between different elements.

How does online education affect students’ learning abilities?

In such cases, experiments are the most popular way of collecting primary data. Here, the hypothesis is usually directional, i.e. explaining how one factor affects the behaviour of another one. Such studies give the researcher the freedom to manipulate the variables as desired. Data for causal research can be collected in two ways:

• laboratory experiments and,
• field experiments.

Laboratory experiments are generally conducted in an artificial environment which allows the researcher to carefully manipulate the variables. On the other hand, field experiments are much more realistic. It is sometimes not possible to control the variables. This makes it difficult for the researcher to predict with confidence what produced a given outcome (Muhammad and Kabir, 2018).

Relational research problem

This research problem states that some sort of relationship between two variables needs to be investigated. The aim is to investigate the qualities or characteristics that are connected in some way.

How is the teaching experience of a teacher with respect to their teaching style?

Thus, this sort of research problem requires more than one variable that describes the relationship between them (Hartanska, 2014).

Summarizing the differences

How to choose the right research problem type.

While choosing the research problem type one must keep in mind the following points.

• The first step in direction of selecting the right problem type is to identify the concepts and terms that make up the topic. This involves identifying the variables of the study. For example, if there is only one variable then it is a descriptive research problem. If it contains two variables, then it is likely relational or causal research.
• The second step is to review the literature to refine the approach of examining the topic and finding the appropriate ways to analyze it. For example, how much research has already been conducted on this topic? What methods and data did the previous researchers use? What was lacking in their research? What variables were used by them? The answers to these questions will help in framing the best approach to your research.
• The third step is to look for sources that can help broaden, modify and strengthen your initial thoughts. A deeper look into the research will answer critical questions like, is a relational approach better than an investigative one? How will eliminating a few variables affect the outcome of the research?
• Gallupe, R. B. (2007) ‘Research contributions: The tyranny of methodologies in information systems research, ACM SIGMIS Database , 38(3), pp. 46–57.
• Hartanska, J. (2014) ‘THE RESEARCH PROBLEM’, pp. 1–48.
• Hashimi, H. (2015) ‘Types of research questions’, Nursing , 4(3), pp. 23–25.
• Muhammad, S. and Kabir, S. (2018) ‘Problem formulation and objective determination’, (June).
• Pardede, P. (2018) ‘Identifying and Formulating the Research Problem’, Research in ELT , 1(October), pp. 1–13.
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Research Process: An Overview, Problem Identification and Definition

Research Process involves identifying, locating, assessing, and analyzing the information you need to support your research question, and then developing and expressing your ideas. These are the same skills you need any time you write a report, proposal, or put together a presentation. 

Library research involves the step-by-step process used to gather information in order to write your paper, create a presentation, or complete a project. As you progress from one step to the next, it is often necessary to rethink, revise, add additional material or even adjust your topic. Much will depend on what you discover during your research. 

The research process can be broken down into seven steps, making it more manageable and easier to understand. This module will give you an idea of what’s involved at each step in order to give you a better overall picture of where you are in your research, where you will be going, and what to expect at each step.

Steps involved in Research Process in Research Methodology

At times, the first step determines the nature of the last step to be undertaken.If subsequent procedures have not been taken into account in the early stages, serious difficulties may arise which may even prevent the completion of the study. One should remember that the various steps involved in a research process are not mutually exclusive; nor they are separate and distinct.

They do not necessarily follow each other in any specific order and the researcher has to be constantly anticipating at each step in the research process the requirements of the subsequent steps. However, the following order concerning various steps provides a useful procedural guideline regarding the research process:

• Formulating the research problem.
• Extensive literature survey.
• Developing the hypothesis.
• Preparing the research design.
• Determining sample design.
• Collecting the data.
• Execution of the project.
• Analysis of data.
• Hypothesis testing.
• Generalizations and interpretation, and
• Preparation of the report or presentation of the results, i.e., formal write-up of conclusions reached.
• Formulating the research problem : There are two types of research problems, vi., those which relate to states of nature and those which relate to relationships between variables. At thievery outset the researcher must single out the problem he wants to study, i.e., he must decide the general area of interest or aspect of a subject-matter that he would like to inquire into. Initially the problem may be stated in a broad general way and then the ambiguities, if any, relating to the problem be resolved. Then, the feasibility of a particular solution has to be considered before a working formulation of the problem can be set up. The formulation of a general topic into a specific research problem, thus, constitutes the first step in a scientific enquiry. Essentially two steps are involved in formulating the research problem, vi., understanding the problem thoroughly, and rephrasing the same into meaningful terms from an analytical point of view.
• Extensive literature survey: Once the problem is formulated, a brief summary of it should be written down. It is compulsory for a research worker writing a thesis for a Ph.D. degree to write synopsis of the topic and submit it to the necessary Committee or the Research Board for approval.At this juncture the researcher should undertake extensive literature survey connected with the problem.

For this purpose, the abstracting and indexing journals and published or unpublished bibliographies are the first place to go to. Academic journals, conference proceedings, government reports, books etc., must be tapped depending on the nature of the problem. In this process, it should be remembered that one source will lead to another. The earlier studies, if any, which are similar to the study in and should be carefully studied. A good library will be a great help to the researcher at this stage.

• Development of working hypotheses: After extensive literature survey, researcher should state in clear terms the working hypothesis or hypotheses. Working hypothesis is tentative assumption made in order to draw out and test its logical or empirical consequences. As such the manner in which research hypotheses are developed is particularly important since they provide the focal point for research. 
• Preparing the research design: The research problem having been formulated in clear cut terms, the researcher will be required to prepare a research design, i.e., he will have to state the conceptual structure within which research would be conducted. The preparation of such a design facilitates research to be as efficient as possible yielding maximal information.

In other words, the function of research design is to provide for the collection of relevant evidence with minimal expenditure of effort, time and money. But how all these can be achieved depends mainly on the research purpose. Research purposes may be grouped into four categories, vi.,

• Exploration,
• Description,
• Diagnosis, and
• Experimentation
• Determining sample design: All the items under consideration in any field of inquiry constitute ‘universe’ or ‘population’. A complete enumeration of all the items in the ‘population’ is known asa census inquiry. It can be presumed that in such an inquiry when all the items are covered no element of chance is left and highest accuracy is obtained. But in practice this may not be true.

Even the slightest element of bias in such an inquiry will get larger and larger as the number of observations increases. Moreover, there is no way of checking the element of bias or its extent except through are survey or use of sample checks. Besides, this type of inquiry involves a great deal of time, money and energy. Not only this, census inquiry is not possible in practice under many circumstances. For instance, blood testing is done only on sample basis. Hence, quite often we select only a few items from the universe for our study purposes. The items so selected constitute what is technically called sample.

The researcher must decide the way of selecting a sample or what is popularly known as the sample design. In other words, a sample design is a definite plan determined before any data are actually collected for obtaining a sample from a given population. Thus, the plan to select 12 of a city’s 200 drugstores in a certain way constitutes a sample design. Samples can be either probability samples or non-probability samples.

With probability samples each element has a known probability of being included in the sample but the non-probability samples do not allow the researcher to determine this probability. Probability samples are those based on simple random sampling, systematic sampling, stratified sampling, cluster/area sampling whereas non-probability samples are those based on convenience sampling, judgment sampling and quota sampling techniques.

• Collecting the data: In dealing with any real life problem it is often found that data at hand are inadequate, and hence, it becomes necessary to collect data that are appropriate. There are severing always of collecting the appropriate data which differ considerably in context of money costs, time and other resources at the disposal of the researcher.

Primary data can be collected either through experiment or through survey. If the researcher conducts an experiment, he observes some quantitative measurements, or the data, with the help of which he examines the truth contained in his hypothesis.

• Execution of the project: Execution of the project is a very important step in the research process. If the execution of the project proceeds on correct lines, the data to be collected would be adequate and dependable. The researcher should see that the project is executed in a systematic manner and in time. If the survey is to be conducted by means of structured questionnaires, data can be readily machine-processed. In such a situation, questions as well as the possible answers may be coded. If the data are to be collected through interviewers, arrangements should be made for proper selection and training of the interviewers. 
• Analysis of data: After the data have been collected, the researcher turns to the task of analyzing them. The analysis of data requires a number of closely related operations such as establishment of categories, the application of these categories to raw data through coding, tabulation and then drawing statistical inferences. The unwieldy data should necessarily be condensed into a few manageable groups and tables for further analysis. Thus, researcher should classify the raw data into some purposeful and usable categories. Coding operation is usually done at this stage through which the categories of data are transformed into symbols that may be tabulated and counted.
• Hypothesis-testing: After analyzing the data as stated above, the researcher is in a position to test the hypotheses, if any, he had formulated earlier. Do the facts support the hypotheses or they happen to be contrary? This is the usual question which should be answered while testing hypotheses .Various tests, such as Chi square test, t-test, F-test, have been developed by statisticians for the purpose. The hypotheses may be tested through the use of one or more of such tests, depending upon the nature and object of research inquiry. Hypothesis -testing will result in either accepting the hypothesis or in rejecting it. If the researcher had no hypotheses to start with, generalizations established on the basis of data may be stated as hypotheses to be tested by subsequent researches in times to come.
• Generalizations and interpretation: If a hypothesis is tested and upheld several times, it maybe possible for the researcher to arrive at generalization, i.e., to build a theory. As a matter of fact,the real value of research lies in its ability to arrive at certain generalizations. If the researcher had no hypothesis to start with, he might seek to explain his findings on the basis of some theory. It is known as interpretation. The process of interpretation may quite often trigger off new questions which in turn may lead to further researches.
• Preparation of the report or the thesis: Finally, the researcher has to prepare the report of what has been done.

PROBLEM IDENTIFICATION AND DEFINITION

The first stage is to develop a clear and precise understanding of the research problem, to permit effective conduct of the research process. It is very important to analyse the problems to conduct the research effectively. In this scenario, a veteran market researcher wants to enter into the business of operating a coffee shop and the problem is to identify the potential market and to find the appropriate outlet and product mix for the products and services of the business. The determination of product line and the price to be charged for the product is the identified problem. At the same time, the business is also facing problems with the positioning of the shop in the relevant market.

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Basic Research in Psychology

Kendra Cherry, MS, is a psychosocial rehabilitation specialist, psychology educator, and author of the "Everything Psychology Book."

Emily is a board-certified science editor who has worked with top digital publishing brands like Voices for Biodiversity, Study.com, GoodTherapy, Vox, and Verywell.

Basic research—also known as fundamental or pure research—refers to study and research meant to increase our scientific knowledge base. This type of research is often purely theoretical, with the intent of increasing our understanding of certain phenomena or behavior. In contrast with applied research, basic research doesn't seek to solve or treat these problems.

Basic Research Examples

Basic research in psychology might explore:

• Whether stress levels influence how often students engage in academic cheating
• How caffeine consumption affects the brain
• Whether men or women are more likely to be diagnosed with depression
• How attachment styles among children of divorced parents compare to those raised by married parents

In all of these examples, the goal is merely to increase knowledge on a topic, not to come up with a practical solution to a problem.

The Link Between Basic and Applied Research

As Stanovich (2007) noted, many practical solutions to real-world problems have emerged directly from basic research. For this reason, the distinction between basic research and applied research is often simply a matter of time. As social psychologist Kurt Lewin once observed, "There is nothing so practical as a good theory."

For example, researchers might conduct basic research on how stress levels impact students academically, emotionally, and socially. The results of these theoretical explorations might lead to further studies designed to solve specific problems. Researchers might initially observe that students with high stress levels are more prone to dropping out of college before graduating. These first studies are examples of basic research designed to learn more about the topic.

As a result, scientists might then design research to determine what interventions might best lower these stress levels. Such studies would be examples of applied research. The purpose of applied research is specifically focused on solving a real problem that exists in the world. Thanks to the foundations established by basic research, psychologists can then design interventions that will help students effectively manage their stress levels , with the hopes of improving college retention rates.

Why Basic Research Is Important

The possible applications of basic research might not be obvious right away. During the earliest phases of basic research, scientists might not even be able to see how the information gleaned from theoretical research might ever apply to real-world problems. However, this foundational knowledge is essential. By learning as much as possible about a topic, researchers are able to gather what they need to know about an issue to fully understand the impact it may have.

"For example, early neuroscientists conducted basic research studies to understand how neurons function. The applications of this knowledge were not clear until much later when neuroscientists better understood how this neural functioning affected behavior," explained author Dawn M. McBride in her text The Process of Research in Psychology . "The understanding of the basic knowledge of neural functioning became useful in helping individuals with disorders long after this research had been completed."

Basic Research Methods

Basic research relies on many types of investigatory tools. These include observation, case studies, experiments, focus groups, surveys, interviews—anything that increases the scope of knowledge on the topic at hand.

Frequently Asked Questions

Psychologists interested in social behavior often undertake basic research. Social/community psychologists engaging in basic research are not trying to solve particular problems; rather, they want to learn more about why humans act the way they do.

Basic research is an effort to expand the scope of knowledge on a topic. Applied research uses such knowledge to solve specific problems.

An effective basic research problem statement outlines the importance of the topic; the study's significance and methods; what the research is investigating; how the results will be reported; and what the research will probably require.

Basic research might investigate, for example, the relationship between academic stress levels and cheating; how caffeine affects the brain; depression incidence in men vs. women; or attachment styles among children of divorced and married parents.

By learning as much as possible about a topic, researchers can come to fully understand the impact it may have. This knowledge can then become the basis of applied research to solve a particular problem within the topic area.

Stanovich KE.  How to Think Straight About Psychology . 8th edition. Boston, MA: Pearson Allyn and Bacon; 2007.

McCain KW. “Nothing as practical as a good theory” Does Lewin's Maxim still have salience in the applied social sciences? Proceedings of the Association for Information Science and Technology . 2015;52(1):1-4. doi:10.1002/pra2.2015.145052010077

McBride DM. The Process of Research in Psychology . 3rd edition . Thousand Oaks, CA: Sage Publications; 2015.

Committee on Department of Defense Basic Research. APPENDIX D: Definitions of basic, applied, and fundamental research . In: Assessment of Department of Defense Basic Research. Washington, D.C.: The National Academic Press; 2005.

By Kendra Cherry, MSEd Kendra Cherry, MS, is a psychosocial rehabilitation specialist, psychology educator, and author of the "Everything Psychology Book."

What Is Background in a Research Paper?

So you have carefully written your research paper  and probably ran it through your colleagues ten to fifteen times. While there are many elements to a good research article, one of the most important elements for your readers is the background of your study.

What is Background of the Study in Research

The background of your study will provide context to the information discussed throughout the research paper . Background information may include both important and relevant studies. This is particularly important if a study either supports or refutes your thesis.

Why is Background of the Study Necessary in Research?

The background of the study discusses your problem statement, rationale, and research questions. It links  introduction to your research topic  and ensures a logical flow of ideas.  Thus, it helps readers understand your reasons for conducting the study.

Providing Background Information

The reader should be able to understand your topic and its importance. The length and detail of your background also depend on the degree to which you need to demonstrate your understanding of the topic. Paying close attention to the following questions will help you in writing background information:

• Are there any theories, concepts, terms, and ideas that may be unfamiliar to the target audience and will require you to provide any additional explanation?
• Any historical data that need to be shared in order to provide context on why the current issue emerged?
• Are there any concepts that may have been borrowed from other disciplines that may be unfamiliar to the reader and need an explanation?

Related: Ready with the background and searching for more information on journal ranking? Check this infographic on the SCImago Journal Rank today!

Is the research study unique for which additional explanation is needed? For instance, you may have used a completely new method

How to Write a Background of the Study

The structure of a background study in a research paper generally follows a logical sequence to provide context, justification, and an understanding of the research problem. It includes an introduction, general background, literature review , rationale , objectives, scope and limitations , significance of the study and the research hypothesis . Following the structure can provide a comprehensive and well-organized background for your research.

Here are the steps to effectively write a background of the study.

1. Identify Your Audience:

Determine the level of expertise of your target audience. Tailor the depth and complexity of your background information accordingly.

2. Understand the Research Problem:

Define the research problem or question your study aims to address. Identify the significance of the problem within the broader context of the field.

3. Review Existing Literature:

Conduct a thorough literature review to understand what is already known in the area. Summarize key findings, theories, and concepts relevant to your research.

4. Include Historical Data:

Integrate historical data if relevant to the research, as current issues often trace back to historical events.

5. Identify Controversies and Gaps:

Note any controversies or debates within the existing literature. Identify gaps , limitations, or unanswered questions that your research can address.

6. Select Key Components:

Choose the most critical elements to include in the background based on their relevance to your research problem. Prioritize information that helps build a strong foundation for your study.

7. Craft a Logical Flow:

Organize the background information in a logical sequence. Start with general context, move to specific theories and concepts, and then focus on the specific problem.

8. Highlight the Novelty of Your Research:

Clearly explain the unique aspects or contributions of your study. Emphasize why your research is different from or builds upon existing work.

Here are some extra tips to increase the quality of your research background:

Example of a Research Background

Here is an example of a research background to help you understand better.

The above hypothetical example provides a research background, addresses the gap and highlights the potential outcome of the study; thereby aiding a better understanding of the proposed research.

What Makes the Introduction Different from the Background?

Your introduction is different from your background in a number of ways.

• The introduction contains preliminary data about your topic that  the reader will most likely read , whereas the background clarifies the importance of the paper.
• The background of your study discusses in depth about the topic, whereas the introduction only gives an overview.
• The introduction should end with your research questions, aims, and objectives, whereas your background should not (except in some cases where your background is integrated into your introduction). For instance, the C.A.R.S. ( Creating a Research Space ) model, created by John Swales is based on his analysis of journal articles. This model attempts to explain and describe the organizational pattern of writing the introduction in social sciences.

Points to Note

Your background should begin with defining a topic and audience. It is important that you identify which topic you need to review and what your audience already knows about the topic. You should proceed by searching and researching the relevant literature. In this case, it is advisable to keep track of the search terms you used and the articles that you downloaded. It is helpful to use one of the research paper management systems such as Papers, Mendeley, Evernote, or Sente. Next, it is helpful to take notes while reading. Be careful when copying quotes verbatim and make sure to put them in quotation marks and cite the sources. In addition, you should keep your background focused but balanced enough so that it is relevant to a broader audience. Aside from these, your background should be critical, consistent, and logically structured.

Writing the background of your study should not be an overly daunting task. Many guides that can help you organize your thoughts as you write the background. The background of the study is the key to introduce your audience to your research topic and should be done with strong knowledge and thoughtful writing.

The background of a research paper typically ranges from one to two paragraphs, summarizing the relevant literature and context of the study. It should be concise, providing enough information to contextualize the research problem and justify the need for the study. Journal instructions about any word count limits should be kept in mind while deciding on the length of the final content.

The background of a research paper provides the context and relevant literature to understand the research problem, while the introduction also introduces the specific research topic, states the research objectives, and outlines the scope of the study. The background focuses on the broader context, whereas the introduction focuses on the specific research project and its objectives.

When writing the background for a study, start by providing a brief overview of the research topic and its significance in the field. Then, highlight the gaps in existing knowledge or unresolved issues that the study aims to address. Finally, summarize the key findings from relevant literature to establish the context and rationale for conducting the research, emphasizing the need and importance of the study within the broader academic landscape.

The background in a research paper is crucial as it sets the stage for the study by providing essential context and rationale. It helps readers understand the significance of the research problem and its relevance in the broader field. By presenting relevant literature and highlighting gaps, the background justifies the need for the study, building a strong foundation for the research and enhancing its credibility.

The presentation very informative

It is really educative. I love the workshop. It really motivated me into writing my first paper for publication.

an interesting clue here, thanks.

thanks for the answers.

Good and interesting explanation. Thanks

Thank you for good presentation.

Hi Adam, we are glad to know that you found our article beneficial

The background of the study is the key to introduce your audience to YOUR research topic.

Awesome. Exactly what i was looking forwards to 😉

Hi Maryam, we are glad to know that you found our resource useful.

my understanding of ‘Background of study’ has been elevated.

Hi Peter, we are glad to know that our article has helped you get a better understanding of the background in a research paper.

thanks to give advanced information

Hi Shimelis, we are glad to know that you found the information in our article beneficial.

When i was studying it is very much hard for me to conduct a research study and know the background because my teacher in practical research is having a research so i make it now so that i will done my research

Very informative……….Thank you.

The confusion i had before, regarding an introduction and background to a research work is now a thing of the past. Thank you so much.

Thanks for your help…

Thanks for your kind information about the background of a research paper.

Thanks for the answer

Very informative. I liked even more when the difference between background and introduction was given. I am looking forward to learning more from this site. I am in Botswana

Hello, I am Benoît from Central African Republic. Right now I am writing down my research paper in order to get my master degree in British Literature. Thank you very much for posting all this information about the background of the study. I really appreciate. Thanks!

The write up is quite good, detailed and informative. Thanks a lot. The article has certainly enhanced my understanding of the topic.

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A market research programme arises from the need to address a problem or a business need. When the problem is not clearly understood, it is useful to first identify the symptoms, consider the possible causes and the actions that could be taken to resolve the problem. Ultimately some decisions need to be made, and the purpose of the research is to guide decision makers and mitigate their risks.

Once a problem is understood it may be defined by explicitly articulating the business issue, the business objectives that the research needs to address, and the research objectives. A research proposal should start by outlining these objectives.

Descriptive and Inferential Problems

From the previous chapter we know that different forms of research address different types of business needs. Quantitative research can find answers to questions such as: How many people use my brand? What is my brand’s brand equity? Is it rising or falling? This type of problem is called descriptive — it describes or summarizes observations.

Quant is also well suited for inferential problems that interpret the meaning of some descriptive measure or verify a hypothesis. For instance — What are the factors driving brand equity? Do more consumers prefer product formulation ‘A’ over formulation ‘B’? A research question becomes a hypothesis when it is rephrased as a statement that can be proved or disproved. For instance, the prior question may be rephrased as the hypothesis — more consumers prefer product formulation ‘A’ over formulation ‘B’.

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Our research shows a strong link between unemployment and domestic violence: what does this mean for income support?

Research Fellow, Melbourne Institute of Applied Economic and Social Research, The University of Melbourne

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Disclosure statement

David Johnston receives funding from the Australian Research Council.

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Increasing income support could help keep women and children safe according to new work demonstrating strong links between financial insecurity and domestic violence.

Our mapping of local government areas in Melbourne and Sydney reinforces the relationship between unemployment and the greater risk of violence.

At a time when the nation is speaking out against the killing of women by men – with at least 27 deaths recorded since the start of this year – the federal government is under increasing pressure to help those at greatest risk.

How money might help

Financial dependence can trap people in abusive relationships. The dependency creates barriers to leaving , as victim-survivors may not have the money necessary for alternative housing, legal help and basic living expenses.

Higher income support for women can change the dynamics within relationships by enhancing their financial decision-making and bargaining power within the household.

However, the relationship between economic factors and domestic violence is complex.

While higher income generally corresponds with lower domestic violence, overseas evidence suggests higher unemployment benefits may lengthen unemployment spells. In such situations, joblessness could lead to violence due to increased exposure between perpetrators and victim-survivors at home.

Economic downturns and personal financial crises can also cause uncertainty and household stress, which may escalate into abuse .

These economic patterns are clear in Australia. Areas with low-income and high-unemployment tend to have the highest levels of domestic violence.

Problem areas

The graphics below illustrate this by mapping unemployment and violence rates across local government areas in greater Sydney and greater Melbourne. The patterns are striking. High rates, marked in darker red, often occur in similar locations.

In Melbourne, the areas with the highest levels of both unemployment and domestic violence are greater Dandenong, Frankston, Casey, Cardinia, Maribyrnong, Brimbank, Melton and Hume. They are marked in red.

In Sydney, the highest rates are in Campbelltown, Liverpool, Canterbury-Bankstown, Fairfield, Penrith, Cumberland, Blacktown and Hawkesbury.

The economic disparities in domestic violence have also increased in recent years. In 2001, rates of violence in the most disadvantaged parts of New South Wales were about 5.6 times higher in the most advantaged suburbs. In 2023, these differences were almost 6.5 times higher.

Long lasting impact

Domestic violence disproportionately impacts women and children and can create significant long lasting social, health, psychological and financial damage.

Estimates suggest the lifetime cost of domestic violence for every victim-survivor is in the tens of thousands of dollars. Healthcare costs alone are close to A$50,000 for every person directly affected.

And the broader costs are staggering.

National data from 2016 which looked at costs including medical care, lost productivity, legal fees, and extended social services, puts the total annual costs at about $22 billion .

This shows the problem is not just a critical social and health issue, but a major economic challenge for victim-survivors and the nation.

Helping to solve the problem

Providing adequate financial support to vulnerable people during times of economic uncertainty is critical to reduce domestic violence and its harmful effects.

But unemployment benefits in Australia are much lower than in other OECD countries. JobSeeker is only $386 per week – 43% of the full-time minimum wage. Australia is ranked among the lowest of all OECD countries when it comes to unemployment benefits, second only to Greece.

International evidence , based on more generous support schemes, suggests raising benefits may lead to extended periods out of work and therefore greater exposure to violence at home.

But this is unlikely to occur in Australia if JobSeeker payments are raised. Given the current low rate, there will still be a considerable financial incentive for JobSeeker recipients to get paid work if the rate is increased.

Analysis of the almost doubling of payments during 2020 supports this conclusion.

Improving economic safety nets could help prevent environments that breed violence. Investing in safety is an essential step towards combating Australia’s domestic violence crisis.

• Domestic violence
• Income support
• Family violence
• Financial Empowerment
• Women's empowerment
• Federal budget 2024

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