problems facing hypothesis formulation in research

Hypothesis: Functions, Problems, Types, Characteristics, Examples

Basic Elements of the Scientific Method: Hypotheses

The Function of the Hypotheses

A hypothesis states what one is looking for in an experiment. When facts are assembled, ordered, and seen in a relationship, they build up to become a theory. This theory needs to be deduced for further confirmation of the facts, this formulation of the deductions constitutes of a hypothesis. As a theory states a logical relationship between facts and from this, the propositions which are deduced should be true. Hence, these deduced prepositions are called hypotheses.

Problems in Formulating the Hypothesis

There are three major difficulties in the formulation of a hypothesis, they are as follows:

Sometimes the deduction of a hypothesis may be difficult as there would be many variables and the necessity to take them all into consideration becomes a challenge. For instance, observing two cases:

Deduction: This situation holds much more sense to the people who are in professions such as psychotherapy, psychiatry and law to some extent. They possess a very intimate relationship with their clients, thus are more susceptible to issues regarding emotional strains in the client-practitioner relationship and more implicit and explicit controls over both participants in comparison to other professions.

2. Principle: Extensive but relatively systematized data show the correlation between members of the upper occupational class and less unhappiness and worry. Also, they are subjected to more formal controls than members of the lower strata.

Deduction: There can numerous ways to approach this principle, one could go with the comparison applying to martial relationships of the members and further argue that such differential pressures could be observed through divorce rates. This hypothesis would show inverse correlations between class position and divorce rates. There would be a very strong need to define the terms carefully to show the deduction from the principle problem.

Types of Hypothesis

There are many ways to classify hypotheses, but it seems adequate to distinguish to separate them on the basis of their level of abstraction. They can be divided into three broad levels which will be increasing in abstractness.

Science and Hypothesis

“The general culture in which a science develops furnishes many of its basic hypotheses” holds true as science has developed more in the West and is no accident that it is a function of culture itself. This is quite evident with the culture of the West as they read for morals, science and happiness. After the examination of a bunch of variables, it is quite easy to say that the cultural emphasis upon happiness has been productive of an almost limitless range.

Analogies are a source of useful hypotheses but not without its dangers as all variables may not be accounted for it as no civilization has a perfect system.

Hypotheses are also the consequence of personal, idiosyncratic experience as the manner in which the individual reacts to the hypotheses is also important and should be accounted for in the experiment.

The Characteristics for Usable Hypotheses

Also Read: Research Methods – Basics

Goode, W. E. and P. K. Hatt. 1952. Methods in Social Research.New York: McGraw Hill. Chapters 5 and 6. Pp. 41-73

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Formulating Hypotheses for Different Study Designs

Durga prasanna misra.

1 Department of Clinical Immunology and Rheumatology, Sanjay Gandhi Postgraduate Institute of Medical Sciences, Lucknow, India.

Armen Yuri Gasparyan

2 Departments of Rheumatology and Research and Development, Dudley Group NHS Foundation Trust (Teaching Trust of the University of Birmingham, UK), Russells Hall Hospital, Dudley, UK.

Olena Zimba

3 Department of Internal Medicine #2, Danylo Halytsky Lviv National Medical University, Lviv, Ukraine.

Marlen Yessirkepov

4 Department of Biology and Biochemistry, South Kazakhstan Medical Academy, Shymkent, Kazakhstan.

Vikas Agarwal

George d. kitas.

5 Centre for Epidemiology versus Arthritis, University of Manchester, Manchester, UK.

Generating a testable working hypothesis is the first step towards conducting original research. Such research may prove or disprove the proposed hypothesis. Case reports, case series, online surveys and other observational studies, clinical trials, and narrative reviews help to generate hypotheses. Observational and interventional studies help to test hypotheses. A good hypothesis is usually based on previous evidence-based reports. Hypotheses without evidence-based justification and a priori ideas are not received favourably by the scientific community. Original research to test a hypothesis should be carefully planned to ensure appropriate methodology and adequate statistical power. While hypotheses can challenge conventional thinking and may be controversial, they should not be destructive. A hypothesis should be tested by ethically sound experiments with meaningful ethical and clinical implications. The coronavirus disease 2019 pandemic has brought into sharp focus numerous hypotheses, some of which were proven (e.g. effectiveness of corticosteroids in those with hypoxia) while others were disproven (e.g. ineffectiveness of hydroxychloroquine and ivermectin).

Graphical Abstract

DEFINING WORKING AND STANDALONE SCIENTIFIC HYPOTHESES

Science is the systematized description of natural truths and facts. Routine observations of existing life phenomena lead to the creative thinking and generation of ideas about mechanisms of such phenomena and related human interventions. Such ideas presented in a structured format can be viewed as hypotheses. After generating a hypothesis, it is necessary to test it to prove its validity. Thus, hypothesis can be defined as a proposed mechanism of a naturally occurring event or a proposed outcome of an intervention. 1 , 2

Hypothesis testing requires choosing the most appropriate methodology and adequately powering statistically the study to be able to “prove” or “disprove” it within predetermined and widely accepted levels of certainty. This entails sample size calculation that often takes into account previously published observations and pilot studies. 2 , 3 In the era of digitization, hypothesis generation and testing may benefit from the availability of numerous platforms for data dissemination, social networking, and expert validation. Related expert evaluations may reveal strengths and limitations of proposed ideas at early stages of post-publication promotion, preventing the implementation of unsupported controversial points. 4

Thus, hypothesis generation is an important initial step in the research workflow, reflecting accumulating evidence and experts' stance. In this article, we overview the genesis and importance of scientific hypotheses and their relevance in the era of the coronavirus disease 2019 (COVID-19) pandemic.

DO WE NEED HYPOTHESES FOR ALL STUDY DESIGNS?

Broadly, research can be categorized as primary or secondary. In the context of medicine, primary research may include real-life observations of disease presentations and outcomes. Single case descriptions, which often lead to new ideas and hypotheses, serve as important starting points or justifications for case series and cohort studies. The importance of case descriptions is particularly evident in the context of the COVID-19 pandemic when unique, educational case reports have heralded a new era in clinical medicine. 5

Case series serve similar purpose to single case reports, but are based on a slightly larger quantum of information. Observational studies, including online surveys, describe the existing phenomena at a larger scale, often involving various control groups. Observational studies include variable-scale epidemiological investigations at different time points. Interventional studies detail the results of therapeutic interventions.

Secondary research is based on already published literature and does not directly involve human or animal subjects. Review articles are generated by secondary research. These could be systematic reviews which follow methods akin to primary research but with the unit of study being published papers rather than humans or animals. Systematic reviews have a rigid structure with a mandatory search strategy encompassing multiple databases, systematic screening of search results against pre-defined inclusion and exclusion criteria, critical appraisal of study quality and an optional component of collating results across studies quantitatively to derive summary estimates (meta-analysis). 6 Narrative reviews, on the other hand, have a more flexible structure. Systematic literature searches to minimise bias in selection of articles are highly recommended but not mandatory. 7 Narrative reviews are influenced by the authors' viewpoint who may preferentially analyse selected sets of articles. 8

In relation to primary research, case studies and case series are generally not driven by a working hypothesis. Rather, they serve as a basis to generate a hypothesis. Observational or interventional studies should have a hypothesis for choosing research design and sample size. The results of observational and interventional studies further lead to the generation of new hypotheses, testing of which forms the basis of future studies. Review articles, on the other hand, may not be hypothesis-driven, but form fertile ground to generate future hypotheses for evaluation. Fig. 1 summarizes which type of studies are hypothesis-driven and which lead on to hypothesis generation.

STANDARDS OF WORKING AND SCIENTIFIC HYPOTHESES

A review of the published literature did not enable the identification of clearly defined standards for working and scientific hypotheses. It is essential to distinguish influential versus not influential hypotheses, evidence-based hypotheses versus a priori statements and ideas, ethical versus unethical, or potentially harmful ideas. The following points are proposed for consideration while generating working and scientific hypotheses. 1 , 2 Table 1 summarizes these points.

Evidence-based data

A scientific hypothesis should have a sound basis on previously published literature as well as the scientist's observations. Randomly generated (a priori) hypotheses are unlikely to be proven. A thorough literature search should form the basis of a hypothesis based on published evidence. 7

Unless a scientific hypothesis can be tested, it can neither be proven nor be disproven. Therefore, a scientific hypothesis should be amenable to testing with the available technologies and the present understanding of science.

Supported by pilot studies

If a hypothesis is based purely on a novel observation by the scientist in question, it should be grounded on some preliminary studies to support it. For example, if a drug that targets a specific cell population is hypothesized to be useful in a particular disease setting, then there must be some preliminary evidence that the specific cell population plays a role in driving that disease process.

Testable by ethical studies

The hypothesis should be testable by experiments that are ethically acceptable. 9 For example, a hypothesis that parachutes reduce mortality from falls from an airplane cannot be tested using a randomized controlled trial. 10 This is because it is obvious that all those jumping from a flying plane without a parachute would likely die. Similarly, the hypothesis that smoking tobacco causes lung cancer cannot be tested by a clinical trial that makes people take up smoking (since there is considerable evidence for the health hazards associated with smoking). Instead, long-term observational studies comparing outcomes in those who smoke and those who do not, as was performed in the landmark epidemiological case control study by Doll and Hill, 11 are more ethical and practical.

Balance between scientific temper and controversy

Novel findings, including novel hypotheses, particularly those that challenge established norms, are bound to face resistance for their wider acceptance. Such resistance is inevitable until the time such findings are proven with appropriate scientific rigor. However, hypotheses that generate controversy are generally unwelcome. For example, at the time the pandemic of human immunodeficiency virus (HIV) and AIDS was taking foot, there were numerous deniers that refused to believe that HIV caused AIDS. 12 , 13 Similarly, at a time when climate change is causing catastrophic changes to weather patterns worldwide, denial that climate change is occurring and consequent attempts to block climate change are certainly unwelcome. 14 The denialism and misinformation during the COVID-19 pandemic, including unfortunate examples of vaccine hesitancy, are more recent examples of controversial hypotheses not backed by science. 15 , 16 An example of a controversial hypothesis that was a revolutionary scientific breakthrough was the hypothesis put forth by Warren and Marshall that Helicobacter pylori causes peptic ulcers. Initially, the hypothesis that a microorganism could cause gastritis and gastric ulcers faced immense resistance. When the scientists that proposed the hypothesis themselves ingested H. pylori to induce gastritis in themselves, only then could they convince the wider world about their hypothesis. Such was the impact of the hypothesis was that Barry Marshall and Robin Warren were awarded the Nobel Prize in Physiology or Medicine in 2005 for this discovery. 17 , 18

DISTINGUISHING THE MOST INFLUENTIAL HYPOTHESES

Influential hypotheses are those that have stood the test of time. An archetype of an influential hypothesis is that proposed by Edward Jenner in the eighteenth century that cowpox infection protects against smallpox. While this observation had been reported for nearly a century before this time, it had not been suitably tested and publicised until Jenner conducted his experiments on a young boy by demonstrating protection against smallpox after inoculation with cowpox. 19 These experiments were the basis for widespread smallpox immunization strategies worldwide in the 20th century which resulted in the elimination of smallpox as a human disease today. 20

Other influential hypotheses are those which have been read and cited widely. An example of this is the hygiene hypothesis proposing an inverse relationship between infections in early life and allergies or autoimmunity in adulthood. An analysis reported that this hypothesis had been cited more than 3,000 times on Scopus. 1

LESSONS LEARNED FROM HYPOTHESES AMIDST THE COVID-19 PANDEMIC

The COVID-19 pandemic devastated the world like no other in recent memory. During this period, various hypotheses emerged, understandably so considering the public health emergency situation with innumerable deaths and suffering for humanity. Within weeks of the first reports of COVID-19, aberrant immune system activation was identified as a key driver of organ dysfunction and mortality in this disease. 21 Consequently, numerous drugs that suppress the immune system or abrogate the activation of the immune system were hypothesized to have a role in COVID-19. 22 One of the earliest drugs hypothesized to have a benefit was hydroxychloroquine. Hydroxychloroquine was proposed to interfere with Toll-like receptor activation and consequently ameliorate the aberrant immune system activation leading to pathology in COVID-19. 22 The drug was also hypothesized to have a prophylactic role in preventing infection or disease severity in COVID-19. It was also touted as a wonder drug for the disease by many prominent international figures. However, later studies which were well-designed randomized controlled trials failed to demonstrate any benefit of hydroxychloroquine in COVID-19. 23 , 24 , 25 , 26 Subsequently, azithromycin 27 , 28 and ivermectin 29 were hypothesized as potential therapies for COVID-19, but were not supported by evidence from randomized controlled trials. The role of vitamin D in preventing disease severity was also proposed, but has not been proven definitively until now. 30 , 31 On the other hand, randomized controlled trials identified the evidence supporting dexamethasone 32 and interleukin-6 pathway blockade with tocilizumab as effective therapies for COVID-19 in specific situations such as at the onset of hypoxia. 33 , 34 Clues towards the apparent effectiveness of various drugs against severe acute respiratory syndrome coronavirus 2 in vitro but their ineffectiveness in vivo have recently been identified. Many of these drugs are weak, lipophilic bases and some others induce phospholipidosis which results in apparent in vitro effectiveness due to non-specific off-target effects that are not replicated inside living systems. 35 , 36

Another hypothesis proposed was the association of the routine policy of vaccination with Bacillus Calmette-Guerin (BCG) with lower deaths due to COVID-19. This hypothesis emerged in the middle of 2020 when COVID-19 was still taking foot in many parts of the world. 37 , 38 Subsequently, many countries which had lower deaths at that time point went on to have higher numbers of mortality, comparable to other areas of the world. Furthermore, the hypothesis that BCG vaccination reduced COVID-19 mortality was a classic example of ecological fallacy. Associations between population level events (ecological studies; in this case, BCG vaccination and COVID-19 mortality) cannot be directly extrapolated to the individual level. Furthermore, such associations cannot per se be attributed as causal in nature, and can only serve to generate hypotheses that need to be tested at the individual level. 39

IS TRADITIONAL PEER REVIEW EFFICIENT FOR EVALUATION OF WORKING AND SCIENTIFIC HYPOTHESES?

Traditionally, publication after peer review has been considered the gold standard before any new idea finds acceptability amongst the scientific community. Getting a work (including a working or scientific hypothesis) reviewed by experts in the field before experiments are conducted to prove or disprove it helps to refine the idea further as well as improve the experiments planned to test the hypothesis. 40 A route towards this has been the emergence of journals dedicated to publishing hypotheses such as the Central Asian Journal of Medical Hypotheses and Ethics. 41 Another means of publishing hypotheses is through registered research protocols detailing the background, hypothesis, and methodology of a particular study. If such protocols are published after peer review, then the journal commits to publishing the completed study irrespective of whether the study hypothesis is proven or disproven. 42 In the post-pandemic world, online research methods such as online surveys powered via social media channels such as Twitter and Instagram might serve as critical tools to generate as well as to preliminarily test the appropriateness of hypotheses for further evaluation. 43 , 44

Some radical hypotheses might be difficult to publish after traditional peer review. These hypotheses might only be acceptable by the scientific community after they are tested in research studies. Preprints might be a way to disseminate such controversial and ground-breaking hypotheses. 45 However, scientists might prefer to keep their hypotheses confidential for the fear of plagiarism of ideas, avoiding online posting and publishing until they have tested the hypotheses.

SUGGESTIONS ON GENERATING AND PUBLISHING HYPOTHESES

Publication of hypotheses is important, however, a balance is required between scientific temper and controversy. Journal editors and reviewers might keep in mind these specific points, summarized in Table 2 and detailed hereafter, while judging the merit of hypotheses for publication. Keeping in mind the ethical principle of primum non nocere, a hypothesis should be published only if it is testable in a manner that is ethically appropriate. 46 Such hypotheses should be grounded in reality and lend themselves to further testing to either prove or disprove them. It must be considered that subsequent experiments to prove or disprove a hypothesis have an equal chance of failing or succeeding, akin to tossing a coin. A pre-conceived belief that a hypothesis is unlikely to be proven correct should not form the basis of rejection of such a hypothesis for publication. In this context, hypotheses generated after a thorough literature search to identify knowledge gaps or based on concrete clinical observations on a considerable number of patients (as opposed to random observations on a few patients) are more likely to be acceptable for publication by peer-reviewed journals. Also, hypotheses should be considered for publication or rejection based on their implications for science at large rather than whether the subsequent experiments to test them end up with results in favour of or against the original hypothesis.

Hypotheses form an important part of the scientific literature. The COVID-19 pandemic has reiterated the importance and relevance of hypotheses for dealing with public health emergencies and highlighted the need for evidence-based and ethical hypotheses. A good hypothesis is testable in a relevant study design, backed by preliminary evidence, and has positive ethical and clinical implications. General medical journals might consider publishing hypotheses as a specific article type to enable more rapid advancement of science.

Disclosure: The authors have no potential conflicts of interest to disclose.

Author Contributions:

• Data curation: Gasparyan AY, Misra DP, Zimba O, Yessirkepov M, Agarwal V, Kitas GD.

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• How to Write a Strong Hypothesis | Steps & Examples

How to Write a Strong Hypothesis | Steps & Examples

Published on May 6, 2022 by Shona McCombes . Revised on November 20, 2023.

A hypothesis is a statement that can be tested by scientific research. If you want to test a relationship between two or more variables, you need to write hypotheses before you start your experiment or data collection .

Example: Hypothesis

Daily apple consumption leads to fewer doctor’s visits.

Table of contents

What is a hypothesis, developing a hypothesis (with example), hypothesis examples, other interesting articles, frequently asked questions about writing hypotheses.

A hypothesis states your predictions about what your research will find. It is a tentative answer to your research question that has not yet been tested. For some research projects, you might have to write several hypotheses that address different aspects of your research question.

A hypothesis is not just a guess – it should be based on existing theories and knowledge. It also has to be testable, which means you can support or refute it through scientific research methods (such as experiments, observations and statistical analysis of data).

Variables in hypotheses

Hypotheses propose a relationship between two or more types of variables .

• An independent variable is something the researcher changes or controls.
• A dependent variable is something the researcher observes and measures.

If there are any control variables , extraneous variables , or confounding variables , be sure to jot those down as you go to minimize the chances that research bias  will affect your results.

In this example, the independent variable is exposure to the sun – the assumed cause . The dependent variable is the level of happiness – the assumed effect .

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Step 1. Ask a question

Writing a hypothesis begins with a research question that you want to answer. The question should be focused, specific, and researchable within the constraints of your project.

Step 2. Do some preliminary research

Your initial answer to the question should be based on what is already known about the topic. Look for theories and previous studies to help you form educated assumptions about what your research will find.

At this stage, you might construct a conceptual framework to ensure that you’re embarking on a relevant topic . This can also help you identify which variables you will study and what you think the relationships are between them. Sometimes, you’ll have to operationalize more complex constructs.

Step 3. Formulate your hypothesis

Now you should have some idea of what you expect to find. Write your initial answer to the question in a clear, concise sentence.

4. Refine your hypothesis

You need to make sure your hypothesis is specific and testable. There are various ways of phrasing a hypothesis, but all the terms you use should have clear definitions, and the hypothesis should contain:

• The relevant variables
• The specific group being studied
• The predicted outcome of the experiment or analysis

5. Phrase your hypothesis in three ways

To identify the variables, you can write a simple prediction in  if…then form. The first part of the sentence states the independent variable and the second part states the dependent variable.

In academic research, hypotheses are more commonly phrased in terms of correlations or effects, where you directly state the predicted relationship between variables.

If you are comparing two groups, the hypothesis can state what difference you expect to find between them.

6. Write a null hypothesis

If your research involves statistical hypothesis testing , you will also have to write a null hypothesis . The null hypothesis is the default position that there is no association between the variables. The null hypothesis is written as H 0 , while the alternative hypothesis is H 1 or H a .

• H 0 : The number of lectures attended by first-year students has no effect on their final exam scores.
• H 1 : The number of lectures attended by first-year students has a positive effect on their final exam scores.

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

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

 Statistics

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

Research bias

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

A hypothesis is not just a guess — it should be based on existing theories and knowledge. It also has to be testable, which means you can support or refute it through scientific research methods (such as experiments, observations and statistical analysis of data).

Null and alternative hypotheses are used in statistical hypothesis testing . The null hypothesis of a test always predicts no effect or no relationship between variables, while the alternative hypothesis states your research prediction of an effect or relationship.

Hypothesis testing is a formal procedure for investigating our ideas about the world using statistics. It is used by scientists to test specific predictions, called hypotheses , by calculating how likely it is that a pattern or relationship between variables could have arisen by chance.

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Problem Identification and Hypothesis Formulation in Research

Introduction.

The term " identification of research problem " refers to the knowledge of a persistent social issue, a social phenomenon, or a notion that merits investigation in order to be understood. Such a study problem is discovered by the researcher by observation, knowledge, wisdom, and abilities.

Finding a subject to study can be difficult, not because there aren't any problems that could be researched, but because it can be difficult to formulate a problem that is both academically important and researchable and that is also original and doesn't just repeat previous research. Consider these sources of inspiration to help you decide on a problem to base your research project around.

Deductions from Theory

This relates to deductions from social philosophy or generalizations that the researcher is familiar with in life and society. Through research , these deductions from human behavior are then placed within an empirical frame of reference. A theory can be used to develop a research problem or hypothesis that states the expected results in specific empirical situations. The study asks that what relationship between variables will be observed if theory accurately summarizes the situation. Thus, the hypothesis or a theory, can then be tested using a systematic investigation.

Perspectives from Various Disciplines

Identifying a problem that will serve as the foundation for a research study can come from academic movements and scholarship that originate in disciplines other than your primary field of study. This can be a mentally stimulating activity. Examining research from related disciplines that can reveal new avenues of exploration and analysis should be included in a review of relevant literature. An interdisciplinary approach to selecting a research problem allows for a more comprehensive understanding of a very complex issue than any single discipline could provide.

Practitioner Interviews

Formal interviews or informal discussions with practitioners who provide insight into new directions for future research and how to make research findings more relevant to practice can lead to the identification of research problems about specific topics. Discussions with experts in the field, such as teachers, social workers, health care providers, lawyers, business leaders, and so on, provide an opportunity to identify practical, "real world" issues which is often ignored within academic circles. This approach also provides some practical knowledge that may aid in the design and execution of your study.

Related Literature

A thorough review of relevant research related to your overall area of interest can help you choose a research problem. This may reveal where there are gaps in understanding or where an issue has been understudied. Research may be conducted to: 1) fill such knowledge gaps; 2) assess whether the methodologies used in previous studies can be adapted to solve other problems; or 3) determine whether a similar study could be conducted in a different subject area, in a different context, or with a different study sample.

Formulation of Research Questions/ Statement

A strong problem statement starts by outlining the broad topic on which your study is focused before guiding the reader toward the more specific problems you are looking into. A good research problem should have the following characteristics, albeit it need not be long:

1. Captivating Subject

The problem you choose should be one that inspires you to solve it; nevertheless, pursuing a research project out of mere curiosity is not recommended as this does not suggest significance. The issue you decide to research must matter to you, but it must also matter to your readers and the greater academic and/or social community that might be affected by the findings of your investigation.

2. Accepts Multiple Points of View

The issue must be phrased in a way that avoids dichotomies and instead encourages the generation and exploration of multiple points of view. A general rule of thumb in the social sciences is that a good research problem is one that will elicit a wide range of opinions from a diverse group of reasonable people.

3. Research ability

Research ability is an important aspect of creating a good research statement. It seems a smidgen obvious, but you don't want to find yourself in the middle of investigating a complex research project and realize that it is not necessary much prior research to draw from for the analysis. There's nothing wrong with original research, but as a researcher you certainly need to select the problems of research is supposed to be able in supporting, to some extent, the resources available to the researcher.

Analytical questions that are well-developed can focus on any of the following:

Draws attention to a genuine quandary, area of ambiguity, or point of confusion about a topic that is open to interpretation by your readers;

It gives birth to an answer that is unexpected and not apparent slightly but is inevitable and self-evident;

Provokes meaningful thought or discussion;

Increases the visibility of key ideas or concepts that may be understudied or hidden;

Research ability helps in providing the suggestions to the need for complex analysis or argument rather than a basic description or summary;

Process of Problem Identification in Research

The process is illustrated in the following diagram.

Features of a research questions

The research question should be feasible that is to say adequate number of subjects, adequate technical expertise, affordable in time and money, manageable in scope.

It should be interesting: Getting the answer intrigues the investigator and her friends.

It should be novel: confirms, refutes or extends previous findings, provides new findings., it should be ethical: amenable to a study that institutional review board will approve., it should be relevant: to scientific, knowledge, to clinical and health policy and to future research., definitions of hypothesis.

Etymologically speaking, hypothesis is made up of two words. Here, 'Hypo' means   an assumption or tentative or subject to verification, and 'Thesis' means a statement about a problem's solution i.e. a tentative thesis waited to be tested. The definition of hypothesis is a tentative statement about how to solve a problem. The simplest definition of hypothesis is "It is a solution to a problem that is empirically and rationally verifiable. In another word it is also defined as a hypothesis is made up of two words - 'Hypo' means a combination of two or more variables that must be verified. The term 'thesis' refers to the position of these variables in a specific frame of reference. The term hypothesis has this operational meaning.

In a more comprehensive way, a hypothesis is an educated guess about the relationship between two or more variables. A hypothesis is a specific, testable prediction/guess about what will happen in the upcoming research. The basic requirement is the hypothesis must include three components in order to be complete: the variables, the population, and the relationship between the variables. Keep in mind that a hypothesis does not have to be correct. The hypothesis predicts what the researchers expect to see, but the goal of research is to determine whether this guess is correct or incorrect.

What is an Assumption and Postulate? How are they related to hypothesis?

Assumption is the act of taking something for granted in order to simplify a situation for logical procedure. Assumptions, unlike postulates, are not the foundation of our activity. They merely facilitate the progression of an agreement by introducing restrictive conditions. Statistics and measurement formulas, for example, are based on a number of assumptions. Assumption refers to the requirement of certain conditions before an argument can be considered valid. Assumptions are made based on logical insight, and their veracity can be determined using data or evidence. The postulates are the foundation and starting point of an argument, whereas assumptions are a matter of choice and less use, giving them more freedom.

Postulates are the fundamental beliefs that strengthen most scientific activity. A postulate is a statement that is assumed to be true without any kind of proof. A postulate is an assumption we make about the relationship of two objects. For example, we could assert that a+b = b+a. This simply states that if we combine two objects, a and b, the order in which they are combined has no effect on the outcome. Other statements, known as theorems, are derived through logical deductions. We are entirely within the realm of ideas, from postulates to theorems. It is pointless to demand experimental proof of deductions. A request of this nature would be meaningless. The only appropriate appeal for proof is entirely within the realm of logic.

A hypothesis is not the same as either of these. The investigator seeks to prove a presumptive statement of a proposition. It's a shortened generalization. This generalization necessitates knowledge of fundamental principles or essential characteristics that apply to an entire class of phenomena. The theory is known as a hypothesis when it is stated formally and clearly as a testable proposition and is subjected to empirical or experimental verification. The hypothesis serves as the foundation for the entire investigation and must be validated by facts. The hypothesis is founded on some prior theory and reasoning, whereas postulates are assumed to be true. An assumption is a major problem's assumed solution. It could be partially correct.

What is the actual nature of a hypothesis?

The hypothesis is a concise statement of what will be investigated. It should be specified prior to conducting research and openly stated in the results report.

a.        This allows you to - Identify... the research objectives;

b.       The key abstract concepts involved in the research;

c.        The relationship between the problem statement and the literature review.

What are the main features of a hypothesis?

The major and common features of a hypothesis can be listed as follows

a.        It is of a conceptual nature.

b.       It is a declarative statement made verbally.

c.        It possesses the empirical referent.

d.       It denotes a possible relationship between two or more variables.

e.        It is a powerful tool for knowledge advancement that is consistent with existing knowledge and conducive to further investigation.

f.        It is testable, verifiable, and falsifiable.

g.       It is not a moral or ethical issue.

h.       It's neither too specific nor too broad.

i.         It is a prediction of outcomes.

j.         Even if proven false, it is considered valuable.

What are the roles and functions of hypothesis?

In empirical or socio-legal research, a hypothesis, which is a provisional formulation, plays an important role. It not only guides research in the right direction, but it also helps to test or suggest theories and describe a social or legal phenomenon. The roles and functions of a hypothesis can be listed as follows:

The role of hypothesis in research navigation

A hypothesis, regardless of its source, expresses what a researcher is looking for. It also offers some plausible explanations for the possible relationships between the concepts or variables mentioned. In fact, it guides you through the research. Without it, no further steps in empirical or non-doctrinal legal research are possible. A hypothesis assists the researcher in reaching "meaningful conclusions" based on "relevant" empirical data.

A hypothesis becomes supportive and helps the researcher in many respects such as it gives the idea to the type of data that must be collected in order to answer the research problem. In the same line it provides the ways to the most efficient and meaningful way to organize the data; and helps in deciding the types of methods that can be used to analyze the data.

The role of the 'tested' hypothesis: In order to draw conclusions about the initially posited relationship between the variables indicated in the hypothesis, it must be empirically tested. As a result, when empirically tested (or not), the previously assumed relationship between concepts or variables, as the case may be, becomes a proven fact. Once a hypothesis is proven, it is no longer a hypothesis.

A hypothesis, even if related to an existing theory, may, when tested, reveal certain 'facts' that are not related to the existing theory or reveal relationships other than those stated in the theory. It does not support the existing theory but rather proposes a new one.

A hypothesis can also be used to describe something. When a hypothesis is empirically tested, it tells us something about the phenomenon with which it is associated. If the hypothesis is empirically supported, our understanding of the phenomenon grows.

The hypotheses functions a significant role mainly in the scientific studies.

For example

·          It helps in the testing of the theories.

·          It serves as a great platform in the investigation activities.

·          It provides guidance to the research work or study.

·          It sometimes also suggests the theories.

·          It aids in understanding the data's requirements.

·          Explains social phenomena and advances the theory.

·          Also serves as a link between theory and investigation.

·          Provides a relationship between phenomena in such a way that empirical testing of the relationship is possible.

·          Aids in determining the most appropriate analysis technique.

·          Aids in the selection of the most appropriate type of research.

·          Provides information on the necessary data sources.

·          Under the guidance of the hypothesis, research becomes more focused.

·          It is extremely useful in conducting an investigation into a specific activity.

·          If correctly drawn, it aids in reaching conclusions.

According to Mac Ashan the hypothesis in research has mainly five functions:

1. It is a temporary solution of a problem concerning with some truth which enables an investigator to start his/her research works.

2. It offers a basis in establishing the specifics what to study for and may provide possible solutions to the problem.

3. Each hypothesis may lead to formulate another hypothesis.

4. A preliminary hypothesis may take the shape of final hypothesis.

5. It provides the investigator with definite statement which may be objectively tested and accepted or rejected and leads for interpreting results and drawing conclusions that is related to original purpose.

Importance of Hypothesis

The importance of hypothesis is understood as the eye of the researcher because it actually opens the vision to the researcher.

The main importance of hypothesis is to focus on the research.

Hypothesis helps in linking the similar facts, ideas and opinion together.

There is always a risk that without proper hypothesis, the researcher may go ahead as a blind man on the way.

Hypothesis simply plays a beautiful role like a guiding light in the entire research process.

  Characteristics of a good hypothesis

A good hypothesis should possess the various features as follows:

It is as in statement form but not in a question form.

It may be right or wrong but should be empirically tested.

It should be specific and precise.

It should not be contradictory.

It clearly mentions the independent and dependent variables which are to be compared.

It should deal with only one issue either in descriptive form or relational form.

According to C R Kothari & Gaurav   Garg (2019) the brief introduction and characteristics of research hypothesis as follows:

Research hypothesis is a predictive statement, capable of being tested by scientific methods, that relates an independent variable to some dependent variables.

Students who receive counseling will show a greater increase in creativity than students not receiving counseling.

The automobiles A is performing as well as automobile B.

The basic characteristics of hypothesis are:

Hypothesis should be clear and precise.

Hypothesis should be capable of being tested.

Hypothesis should state relationship between variables.

Hypothesis should be limited in its scope.

Hypothesis should be consistent with most known facts.

Hypothesis must explain the facts that gave rise to the need for explanation.

Ranjit Kumar (2014) in his book Research Methodology A step-by-step guide for beginners has mentioned that a hypothesis construction is the second important consideration in the formulation of a research problem in quantitative research. He further says, in epidemiological studies, to narrow the field of investigation, it is important to formulated hypotheses. The importance of hypotheses lies in their ability to bring direction, specificity and focus to a research study.

A hypothesis is a hunch, assumption, suspicion, assertion or an idea about a phenomenon, relationship or situation, the reality or truth of which you do not know.

H.K. Dangi and Shruti Dewen (2016) in their book entitled 'Business Research Methods' clearly distinguish the concept of propositions and hypothesis. Propositions are statements that define the relationships amongst the concepts. Prepositions can be judged as true or false if they are related to observable phenomena. Once a proposition can be tested for its validity then it is called a hypothesis.

Hypothesis are formulated to be tested. Hypothesis testing is a process of testing a hypothesis about a parameter of a population. Hypothesis testing involves checking the likelihood of claims regarding the population being true.

The steps of hypothesis testing according to them are illustrated as in the following diagram.

The  common types of hypothesis are null hypothesis and alternate hypothesis/research hypothesis. The null means there is no effect/impact/relation/difference between the independent variable and dependent variable whereas alternate hypothesis is also called research hypothesis. In alternate hypothesis the researcher sees or assumes the impact/effect/relation/difference between or among the independent and dependent variables.

The null hypothesis is indicated by H0 whereas alternate hypothesis is indicated by H1.

The idea of null and alternate hypothesis can be beautifully illustrated with the following examples.

H0: There is no relationship between working conditions and job satisfaction of employees.

H1: Increasing the improvement in job quality will improve the job satisfaction.

H0: There is no difference in educational level of employee to their work performance in an organization.

H1: Higher educational qualification contributes high level of work performance in an organization.

H0: There is no relation between earning and saving.

H1: Earning and saving are positively related.

Some Scholars also have classified hypothesis into simple, complex, directional, non-directional, associative, causal, inductive and deductive as well.

Simple Hypothesis

Simple hypothesis is one which deals with the only one independent variable to one dependent variable there is a direct relation or impact between them. For example The impact of education in work performance.

Complex Hypothesis

Complex hypothesis purposes and predicts the relation between two or more independent variables and two or more dependent variables. It is called complex in the sense that there is not direct and one to one relation or impact between them. For example, The training and hard work (IV) have positive impacts on individual growth as well as the goodwill of organization (DV).

Directional Hypothesis

It predicts the outcome or impact is as intellectually directed. The effect or impact or relationship between two variables into a specified direction. The researcher not only predicts the relationship but also the nature of the relation i.e. the direction. For example, Discipline as well as rules and regulation has negative relation to the creative outcome among the students.

Non-directional Hypothesis

This hypothesis predicts the relation between two variables but the nature and direction of relationship is not specified. For example 'There is a relationship between discipline and creative outcome of the school children'.

Associative Hypothesis

There is relationship between Independent Variable (IV) and Dependent Variable (DV) where when one variable changes there is the change in another variable but it is not in case of cause and effect.

Inductive and Deductive Variable

These both inductive and deductive are based on a particular type of reasoning if the hypothesis is based on deduction it is called deductive and in the same way when the researcher goes from one specific to theory then it is called as inductive variable. In this way, inductive hypotheses are formed through inductively reasoning from many specific observations to tentative explanations. The deductive one is generated through deductive reasoning based on implications of theory.

Null Hypothesis

This is a hypothesis purposes that there is no relationship or difference i.e. relationship is null between two variables. This is the conventional approach to making a prediction. It involves a statement that the researcher compares on a certain variable. The hypothesis may also state that there is no significant difference when different groups/sets are compared accordance to a specified variable. For example, ‘There is no difference in the job performance of commercial bank's employees who participate in motivational classes and those who do not participate in such classes’ is a null hypothesis. It asserts that there is no true difference in the sample statistic and population parameter under consideration and that the difference found is accidental arising out of fluctuations of sampling.

Alternative/ Research Hypothesis

As opposite to null hypothesis, research hypothesis assumes, predicts and expects the relation between independent and dependent variables.

The alternative hypothesis is a statement of what a hypothesis test attempts to establish. Alternative hypothesis is designated by: H1 or Ha. It is opposite of Null Hypothesis. It is only reached if Ha is rejected.   Frequently “alternative” is actual desired conclusion of the researcher.

It is important to see the following formula and example to comprehend the context and situation of hypothesis in relation to null/alternative.

Ha= the males go for eating out than females.

Ho= the males and females do not differ in respect of the frequency of eating out. So, Alternative hypothesis is usually the one which one wishes to prove and the Null hypothesis is the one which one wishes to disapprove.

Problem identification and hypothesis formulation in research has a significant role. This is one of the important aspect or step of the entire research process. The researcher has to do the literature review based on his/her need, interest and ability that in which areas/topic are dealt. It is not an overnight job to identify the research problem as well as formulation of hypothesis. If the process of problem identification and hypothesis formulation is systematic and objective then the entire research process and activities go to the specified direction.

Timilsena (2022). A platform for discussion to University Students- Business Research Methodology

Kumar, R (2014). Research Methodology: A step by step guide for beginners- Sage

Cooper D, Schindler PS & Sharma JK (2014) Business Research Methods-Mc Graw Hill Education

Chawla D and Sondhi N (2018) Research Methodology: Concepts and Cases- Vikas

Dangi HK & Dewen Shruit (2016). Business Research Methods-Cengave

Flick, U (2011). Introducing Research Methodology-Sage

Pant PR (1975). Social Science Research and Thesis Writing

Related Article

1. Introduction to Business Research- Fundamentals of Research-Useful for MBA Students and Professionals 2.  Report Writing: What, How & Why

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The Craft of Writing a Strong Hypothesis

Table of Contents

Writing a hypothesis is one of the essential elements of a scientific research paper. It needs to be to the point, clearly communicating what your research is trying to accomplish. A blurry, drawn-out, or complexly-structured hypothesis can confuse your readers. Or worse, the editor and peer reviewers.

A captivating hypothesis is not too intricate. This blog will take you through the process so that, by the end of it, you have a better idea of how to convey your research paper's intent in just one sentence.

What is a Hypothesis?

The first step in your scientific endeavor, a hypothesis, is a strong, concise statement that forms the basis of your research. It is not the same as a thesis statement , which is a brief summary of your research paper .

The sole purpose of a hypothesis is to predict your paper's findings, data, and conclusion. It comes from a place of curiosity and intuition . When you write a hypothesis, you're essentially making an educated guess based on scientific prejudices and evidence, which is further proven or disproven through the scientific method.

The reason for undertaking research is to observe a specific phenomenon. A hypothesis, therefore, lays out what the said phenomenon is. And it does so through two variables, an independent and dependent variable.

The independent variable is the cause behind the observation, while the dependent variable is the effect of the cause. A good example of this is “mixing red and blue forms purple.” In this hypothesis, mixing red and blue is the independent variable as you're combining the two colors at your own will. The formation of purple is the dependent variable as, in this case, it is conditional to the independent variable.

Different Types of Hypotheses‌

Types of hypotheses

Some would stand by the notion that there are only two types of hypotheses: a Null hypothesis and an Alternative hypothesis. While that may have some truth to it, it would be better to fully distinguish the most common forms as these terms come up so often, which might leave you out of context.

Apart from Null and Alternative, there are Complex, Simple, Directional, Non-Directional, Statistical, and Associative and casual hypotheses. They don't necessarily have to be exclusive, as one hypothesis can tick many boxes, but knowing the distinctions between them will make it easier for you to construct your own.

1. Null hypothesis

A null hypothesis proposes no relationship between two variables. Denoted by H 0 , it is a negative statement like “Attending physiotherapy sessions does not affect athletes' on-field performance.” Here, the author claims physiotherapy sessions have no effect on on-field performances. Even if there is, it's only a coincidence.

2. Alternative hypothesis

Considered to be the opposite of a null hypothesis, an alternative hypothesis is donated as H1 or Ha. It explicitly states that the dependent variable affects the independent variable. A good  alternative hypothesis example is “Attending physiotherapy sessions improves athletes' on-field performance.” or “Water evaporates at 100 °C. ” The alternative hypothesis further branches into directional and non-directional.

• Directional hypothesis: A hypothesis that states the result would be either positive or negative is called directional hypothesis. It accompanies H1 with either the ‘<' or ‘>' sign.
• Non-directional hypothesis: A non-directional hypothesis only claims an effect on the dependent variable. It does not clarify whether the result would be positive or negative. The sign for a non-directional hypothesis is ‘≠.'

3. Simple hypothesis

A simple hypothesis is a statement made to reflect the relation between exactly two variables. One independent and one dependent. Consider the example, “Smoking is a prominent cause of lung cancer." The dependent variable, lung cancer, is dependent on the independent variable, smoking.

4. Complex hypothesis

In contrast to a simple hypothesis, a complex hypothesis implies the relationship between multiple independent and dependent variables. For instance, “Individuals who eat more fruits tend to have higher immunity, lesser cholesterol, and high metabolism.” The independent variable is eating more fruits, while the dependent variables are higher immunity, lesser cholesterol, and high metabolism.

5. Associative and casual hypothesis

Associative and casual hypotheses don't exhibit how many variables there will be. They define the relationship between the variables. In an associative hypothesis, changing any one variable, dependent or independent, affects others. In a casual hypothesis, the independent variable directly affects the dependent.

6. Empirical hypothesis

Also referred to as the working hypothesis, an empirical hypothesis claims a theory's validation via experiments and observation. This way, the statement appears justifiable and different from a wild guess.

Say, the hypothesis is “Women who take iron tablets face a lesser risk of anemia than those who take vitamin B12.” This is an example of an empirical hypothesis where the researcher  the statement after assessing a group of women who take iron tablets and charting the findings.

7. Statistical hypothesis

The point of a statistical hypothesis is to test an already existing hypothesis by studying a population sample. Hypothesis like “44% of the Indian population belong in the age group of 22-27.” leverage evidence to prove or disprove a particular statement.

Characteristics of a Good Hypothesis

Writing a hypothesis is essential as it can make or break your research for you. That includes your chances of getting published in a journal. So when you're designing one, keep an eye out for these pointers:

• A research hypothesis has to be simple yet clear to look justifiable enough.
• It has to be testable — your research would be rendered pointless if too far-fetched into reality or limited by technology.
• It has to be precise about the results —what you are trying to do and achieve through it should come out in your hypothesis.
• A research hypothesis should be self-explanatory, leaving no doubt in the reader's mind.
• If you are developing a relational hypothesis, you need to include the variables and establish an appropriate relationship among them.
• A hypothesis must keep and reflect the scope for further investigations and experiments.

Separating a Hypothesis from a Prediction

Outside of academia, hypothesis and prediction are often used interchangeably. In research writing, this is not only confusing but also incorrect. And although a hypothesis and prediction are guesses at their core, there are many differences between them.

A hypothesis is an educated guess or even a testable prediction validated through research. It aims to analyze the gathered evidence and facts to define a relationship between variables and put forth a logical explanation behind the nature of events.

Predictions are assumptions or expected outcomes made without any backing evidence. They are more fictionally inclined regardless of where they originate from.

For this reason, a hypothesis holds much more weight than a prediction. It sticks to the scientific method rather than pure guesswork. "Planets revolve around the Sun." is an example of a hypothesis as it is previous knowledge and observed trends. Additionally, we can test it through the scientific method.

Whereas "COVID-19 will be eradicated by 2030." is a prediction. Even though it results from past trends, we can't prove or disprove it. So, the only way this gets validated is to wait and watch if COVID-19 cases end by 2030.

Finally, How to Write a Hypothesis

Quick tips on writing a hypothesis

1.  Be clear about your research question

A hypothesis should instantly address the research question or the problem statement. To do so, you need to ask a question. Understand the constraints of your undertaken research topic and then formulate a simple and topic-centric problem. Only after that can you develop a hypothesis and further test for evidence.

2. Carry out a recce

Once you have your research's foundation laid out, it would be best to conduct preliminary research. Go through previous theories, academic papers, data, and experiments before you start curating your research hypothesis. It will give you an idea of your hypothesis's viability or originality.

Making use of references from relevant research papers helps draft a good research hypothesis. SciSpace Discover offers a repository of over 270 million research papers to browse through and gain a deeper understanding of related studies on a particular topic. Additionally, you can use SciSpace Copilot , your AI research assistant, for reading any lengthy research paper and getting a more summarized context of it. A hypothesis can be formed after evaluating many such summarized research papers. Copilot also offers explanations for theories and equations, explains paper in simplified version, allows you to highlight any text in the paper or clip math equations and tables and provides a deeper, clear understanding of what is being said. This can improve the hypothesis by helping you identify potential research gaps.

3. Create a 3-dimensional hypothesis

Variables are an essential part of any reasonable hypothesis. So, identify your independent and dependent variable(s) and form a correlation between them. The ideal way to do this is to write the hypothetical assumption in the ‘if-then' form. If you use this form, make sure that you state the predefined relationship between the variables.

In another way, you can choose to present your hypothesis as a comparison between two variables. Here, you must specify the difference you expect to observe in the results.

4. Write the first draft

Now that everything is in place, it's time to write your hypothesis. For starters, create the first draft. In this version, write what you expect to find from your research.

Clearly separate your independent and dependent variables and the link between them. Don't fixate on syntax at this stage. The goal is to ensure your hypothesis addresses the issue.

5. Proof your hypothesis

After preparing the first draft of your hypothesis, you need to inspect it thoroughly. It should tick all the boxes, like being concise, straightforward, relevant, and accurate. Your final hypothesis has to be well-structured as well.

Research projects are an exciting and crucial part of being a scholar. And once you have your research question, you need a great hypothesis to begin conducting research. Thus, knowing how to write a hypothesis is very important.

Now that you have a firmer grasp on what a good hypothesis constitutes, the different kinds there are, and what process to follow, you will find it much easier to write your hypothesis, which ultimately helps your research.

Now it's easier than ever to streamline your research workflow with SciSpace Discover . Its integrated, comprehensive end-to-end platform for research allows scholars to easily discover, write and publish their research and fosters collaboration.

It includes everything you need, including a repository of over 270 million research papers across disciplines, SEO-optimized summaries and public profiles to show your expertise and experience.

If you found these tips on writing a research hypothesis useful, head over to our blog on Statistical Hypothesis Testing to learn about the top researchers, papers, and institutions in this domain.

Frequently Asked Questions (FAQs)

1. what is the definition of hypothesis.

According to the Oxford dictionary, a hypothesis is defined as “An idea or explanation of something that is based on a few known facts, but that has not yet been proved to be true or correct”.

2. What is an example of hypothesis?

The hypothesis is a statement that proposes a relationship between two or more variables. An example: "If we increase the number of new users who join our platform by 25%, then we will see an increase in revenue."

3. What is an example of null hypothesis?

A null hypothesis is a statement that there is no relationship between two variables. The null hypothesis is written as H0. The null hypothesis states that there is no effect. For example, if you're studying whether or not a particular type of exercise increases strength, your null hypothesis will be "there is no difference in strength between people who exercise and people who don't."

4. What are the types of research?

• Fundamental research

• Applied research

• Qualitative research

• Quantitative research

• Mixed research

• Exploratory research

• Longitudinal research

• Cross-sectional research

• Field research

• Laboratory research

• Fixed research

• Flexible research

• Action research

• Policy research

• Classification research

• Comparative research

• Causal research

• Inductive research

• Deductive research

5. How to write a hypothesis?

• Your hypothesis should be able to predict the relationship and outcome.

• Avoid wordiness by keeping it simple and brief.

• Your hypothesis should contain observable and testable outcomes.

• Your hypothesis should be relevant to the research question.

6. What are the 2 types of hypothesis?

• Null hypotheses are used to test the claim that "there is no difference between two groups of data".

• Alternative hypotheses test the claim that "there is a difference between two data groups".

7. Difference between research question and research hypothesis?

A research question is a broad, open-ended question you will try to answer through your research. A hypothesis is a statement based on prior research or theory that you expect to be true due to your study. Example - Research question: What are the factors that influence the adoption of the new technology? Research hypothesis: There is a positive relationship between age, education and income level with the adoption of the new technology.

8. What is plural for hypothesis?

The plural of hypothesis is hypotheses. Here's an example of how it would be used in a statement, "Numerous well-considered hypotheses are presented in this part, and they are supported by tables and figures that are well-illustrated."

9. What is the red queen hypothesis?

The red queen hypothesis in evolutionary biology states that species must constantly evolve to avoid extinction because if they don't, they will be outcompeted by other species that are evolving. Leigh Van Valen first proposed it in 1973; since then, it has been tested and substantiated many times.

10. Who is known as the father of null hypothesis?

The father of the null hypothesis is Sir Ronald Fisher. He published a paper in 1925 that introduced the concept of null hypothesis testing, and he was also the first to use the term itself.

11. When to reject null hypothesis?

You need to find a significant difference between your two populations to reject the null hypothesis. You can determine that by running statistical tests such as an independent sample t-test or a dependent sample t-test. You should reject the null hypothesis if the p-value is less than 0.05.

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What is a Research Problem? Characteristics, Types, and Examples

A research problem is a gap in existing knowledge, a contradiction in an established theory, or a real-world challenge that a researcher aims to address in their research. It is at the heart of any scientific inquiry, directing the trajectory of an investigation. The statement of a problem orients the reader to the importance of the topic, sets the problem into a particular context, and defines the relevant parameters, providing the framework for reporting the findings. Therein lies the importance of research problem s.  

The formulation of well-defined research questions is central to addressing a research problem . A research question is a statement made in a question form to provide focus, clarity, and structure to the research endeavor. This helps the researcher design methodologies, collect data, and analyze results in a systematic and coherent manner. A study may have one or more research questions depending on the nature of the study.   

Identifying and addressing a research problem is very important. By starting with a pertinent problem , a scholar can contribute to the accumulation of evidence-based insights, solutions, and scientific progress, thereby advancing the frontier of research. Moreover, the process of formulating research problems and posing pertinent research questions cultivates critical thinking and hones problem-solving skills.   

Table of Contents

What is a Research Problem ?  

Before you conceive of your project, you need to ask yourself “ What is a research problem ?” A research problem definition can be broadly put forward as the primary statement of a knowledge gap or a fundamental challenge in a field, which forms the foundation for research. Conversely, the findings from a research investigation provide solutions to the problem .  

A research problem guides the selection of approaches and methodologies, data collection, and interpretation of results to find answers or solutions. A well-defined problem determines the generation of valuable insights and contributions to the broader intellectual discourse.  

Characteristics of a Research Problem  

Knowing the characteristics of a research problem is instrumental in formulating a research inquiry; take a look at the five key characteristics below:  

Novel : An ideal research problem introduces a fresh perspective, offering something new to the existing body of knowledge. It should contribute original insights and address unresolved matters or essential knowledge.   

Significant : A problem should hold significance in terms of its potential impact on theory, practice, policy, or the understanding of a particular phenomenon. It should be relevant to the field of study, addressing a gap in knowledge, a practical concern, or a theoretical dilemma that holds significance.  

Feasible: A practical research problem allows for the formulation of hypotheses and the design of research methodologies. A feasible research problem is one that can realistically be investigated given the available resources, time, and expertise. It should not be too broad or too narrow to explore effectively, and should be measurable in terms of its variables and outcomes. It should be amenable to investigation through empirical research methods, such as data collection and analysis, to arrive at meaningful conclusions A practical research problem considers budgetary and time constraints, as well as limitations of the problem . These limitations may arise due to constraints in methodology, resources, or the complexity of the problem.  

Clear and specific : A well-defined research problem is clear and specific, leaving no room for ambiguity; it should be easily understandable and precisely articulated. Ensuring specificity in the problem ensures that it is focused, addresses a distinct aspect of the broader topic and is not vague.  

Rooted in evidence: A good research problem leans on trustworthy evidence and data, while dismissing unverifiable information. It must also consider ethical guidelines, ensuring the well-being and rights of any individuals or groups involved in the study.

Types of Research Problems  

Across fields and disciplines, there are different types of research problems . We can broadly categorize them into three types.  

• Theoretical research problems

Theoretical research problems deal with conceptual and intellectual inquiries that may not involve empirical data collection but instead seek to advance our understanding of complex concepts, theories, and phenomena within their respective disciplines. For example, in the social sciences, research problem s may be casuist (relating to the determination of right and wrong in questions of conduct or conscience), difference (comparing or contrasting two or more phenomena), descriptive (aims to describe a situation or state), or relational (investigating characteristics that are related in some way).  

Here are some theoretical research problem examples :   

• Ethical frameworks that can provide coherent justifications for artificial intelligence and machine learning algorithms, especially in contexts involving autonomous decision-making and moral agency.  
• Determining how mathematical models can elucidate the gradual development of complex traits, such as intricate anatomical structures or elaborate behaviors, through successive generations.  
• Applied research problems

Applied or practical research problems focus on addressing real-world challenges and generating practical solutions to improve various aspects of society, technology, health, and the environment.  

Here are some applied research problem examples :   

• Studying the use of precision agriculture techniques to optimize crop yield and minimize resource waste.  
• Designing a more energy-efficient and sustainable transportation system for a city to reduce carbon emissions.  
• Action research problems

Action research problems aim to create positive change within specific contexts by involving stakeholders, implementing interventions, and evaluating outcomes in a collaborative manner.  

Here are some action research problem examples :   

• Partnering with healthcare professionals to identify barriers to patient adherence to medication regimens and devising interventions to address them.  
• Collaborating with a nonprofit organization to evaluate the effectiveness of their programs aimed at providing job training for underserved populations.  

These different types of research problems may give you some ideas when you plan on developing your own.  

How to Define a Research Problem  

You might now ask “ How to define a research problem ?” These are the general steps to follow:   

• Look for a broad problem area: Identify under-explored aspects or areas of concern, or a controversy in your topic of interest. Evaluate the significance of addressing the problem in terms of its potential contribution to the field, practical applications, or theoretical insights.
• Learn more about the problem: Read the literature, starting from historical aspects to the current status and latest updates. Rely on reputable evidence and data. Be sure to consult researchers who work in the relevant field, mentors, and peers. Do not ignore the gray literature on the subject.
• Identify the relevant variables and how they are related: Consider which variables are most important to the study and will help answer the research question. Once this is done, you will need to determine the relationships between these variables and how these relationships affect the research problem . 
• Think of practical aspects : Deliberate on ways that your study can be practical and feasible in terms of time and resources. Discuss practical aspects with researchers in the field and be open to revising the problem based on feedback. Refine the scope of the research problem to make it manageable and specific; consider the resources available, time constraints, and feasibility.
• Formulate the problem statement: Craft a concise problem statement that outlines the specific issue, its relevance, and why it needs further investigation.
• Stick to plans, but be flexible: When defining the problem , plan ahead but adhere to your budget and timeline. At the same time, consider all possibilities and ensure that the problem and question can be modified if needed.

Key Takeaways  

• A research problem concerns an area of interest, a situation necessitating improvement, an obstacle requiring eradication, or a challenge in theory or practical applications.   
• The importance of research problem is that it guides the research and helps advance human understanding and the development of practical solutions.  
• Research problem definition begins with identifying a broad problem area, followed by learning more about the problem, identifying the variables and how they are related, considering practical aspects, and finally developing the problem statement.  
• Different types of research problems include theoretical, applied, and action research problems , and these depend on the discipline and nature of the study.  
• An ideal problem is original, important, feasible, specific, and based on evidence.  

Frequently Asked Questions  

Why is it important to define a research problem?  

Identifying potential issues and gaps as research problems is important for choosing a relevant topic and for determining a well-defined course of one’s research. Pinpointing a problem and formulating research questions can help researchers build their critical thinking, curiosity, and problem-solving abilities.   

How do I identify a research problem?  

Identifying a research problem involves recognizing gaps in existing knowledge, exploring areas of uncertainty, and assessing the significance of addressing these gaps within a specific field of study. This process often involves thorough literature review, discussions with experts, and considering practical implications.  

Can a research problem change during the research process?  

Yes, a research problem can change during the research process. During the course of an investigation a researcher might discover new perspectives, complexities, or insights that prompt a reevaluation of the initial problem. The scope of the problem, unforeseen or unexpected issues, or other limitations might prompt some tweaks. You should be able to adjust the problem to ensure that the study remains relevant and aligned with the evolving understanding of the subject matter.

How does a research problem relate to research questions or hypotheses?  

A research problem sets the stage for the study. Next, research questions refine the direction of investigation by breaking down the broader research problem into manageable components. Research questions are formulated based on the problem , guiding the investigation’s scope and objectives. The hypothesis provides a testable statement to validate or refute within the research process. All three elements are interconnected and work together to guide the research.  

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• How To Formulate A Research Problem

Introduction

In the dynamic realm of academia, research problems serve as crucial stepping stones for groundbreaking discoveries and advancements. Research problems lay the groundwork for inquiry and exploration that happens when conducting research. They direct the path toward knowledge expansion.

In this blog post, we will discuss the different ways you can identify and formulate a research problem. We will also highlight how you can write a research problem, its significance in guiding your research journey, and how it contributes to knowledge advancement.

Understanding the Essence of a Research Problem

A research problem is defined as the focal point of any academic inquiry. It is a concise and well-defined statement that outlines the specific issue or question that the research aims to address. This research problem usually sets the tone for the entire study and provides you, the researcher, with a clear purpose and a clear direction on how to go about conducting your research.

There are two ways you can consider what the purpose of your research problem is. The first way is that the research problem helps you define the scope of your study and break down what you should focus on in the research. The essence of this is to ensure that you embark on a relevant study and also easily manage it. 

The second way is that having a research problem helps you develop a step-by-step guide in your research exploration and execution. It directs your efforts and determines the type of data you need to collect and analyze. Furthermore, a well-developed research problem is really important because it contributes to the credibility and validity of your study.

It also demonstrates the significance of your research and its potential to contribute new knowledge to the existing body of literature in the world. A compelling research problem not only captivates the attention of your peers but also lays the foundation for impactful and meaningful research outcomes.

Identifying a Research Problem

To identify a research problem, you need a systematic approach and a deep understanding of the subject area. Below are some steps to guide you in this process:

• Conduct a Literature Review: Before you dive into your research problem, ensure you get familiar with the existing literature in your field. Analyze gaps, controversies, and unanswered questions. This will help you identify areas where your research can make a meaningful contribution.
• Consult with Peers and Mentors: Participate in discussions with your peers and mentors to gain insights and feedback on potential research problems. Their perspectives can help you refine and validate your ideas.
• Define Your Research Objectives: Clearly outline the objectives of your study. What do you want to achieve through your research? What specific outcomes are you aiming for?

Formulating a Research Problem

Once you have identified the general area of interest and specific research objectives, you can then formulate your research problem. Things to consider when formulating a research problem:

• Clarity and Specificity: Your research problem should be concise, specific, and devoid of ambiguity. Avoid vague statements that could lead to confusion or misinterpretation.
• Originality: Strive to formulate a research problem that addresses a unique and unexplored aspect of your field. Originality is key to making a meaningful contribution to the existing knowledge.
• Feasibility: Ensure that your research problem is feasible within the constraints of time, resources, and available data. Unrealistic research problems can hinder the progress of your study.
• Refining the Research Problem: It is common for the research problem to evolve as you delve deeper into your study. Don’t be afraid to refine and revise your research problem if necessary. Seek feedback from colleagues, mentors, and experts in your field to ensure the strength and relevance of your research problem.

How Do You Write a Research Problem?

Steps to consider in writing a Research Problem:

• Select a Topic: The first step in writing a research problem is to select a specific topic of interest within your field of study. This topic should be relevant, and meaningful, and have the potential to contribute to existing knowledge.
• Conduct a Literature Review: Before formulating your research problem, conduct a thorough literature review to understand the current state of research on your chosen topic. This will help you identify gaps, controversies, or areas that need further exploration.
• Identify the Research Gap: Based on your literature review, pinpoint the specific gap or problem that your research aims to address. This gap should be something that has not been adequately studied or resolved in previous research.
• Be Specific and Clear: The research problem should be framed in a clear and concise manner. It should be specific enough to guide your research but broad enough to allow for meaningful investigation.
• Ensure Feasibility: Consider the resources and constraints available to you when formulating the research problem. Ensure that it is feasible to address the problem within the scope of your study.
• Align your Research Goals: The research problem should align with the overall goals and objectives of your study. It should be directly related to the research questions you intend to answer.

Related: How to Write a Problem Statement for your Research

Research Problem vs Research Questions

Research Problem: The research problem is a broad statement that outlines the overarching issue or gap in knowledge that your research aims to address. It provides the context and motivation for your study and helps establish its significance and relevance. The research problem is typically stated in the introduction section of your research proposal or thesis.

Research Questions: Research questions are specific inquiries that you seek to answer through your research. These questions are derived from the research problem and help guide the focus of your study. They are often more detailed and narrow in scope compared to the research problem. Research questions are usually listed in the methodology section of your research proposal or thesis.

Difference Between a Research Problem and a Research Topic

Research Problem: A research problem is a specific issue, gap, or question that requires investigation and can be addressed through research. It is a clearly defined and focused problem that the researcher aims to solve or explore. The research problem provides the context and rationale for the study and guides the research process. It is usually stated as a question or a statement in the introduction section of a research proposal or thesis.

Example of a Research Problem: “ What are the factors influencing consumer purchasing decisions in the online retail industry ?”

Research Topic: A research topic, on the other hand, is a broader subject or area of interest within a particular field of study. It is a general idea or subject that the researcher wants to explore in their research. The research topic is more general and does not yet specify a specific problem or question to be addressed. It serves as the starting point for the research, and the researcher further refines it to formulate a specific research problem.

Example of a Research Topic: “ Consumer behavior in the online retail industry.”

In summary, a research topic is a general area of interest, while a research problem is a specific issue or question within that area that the researcher aims to investigate.

Difference Between a Research Problem and Problem Statement

Research Problem: As explained earlier, a research problem is a specific issue, gap, or question that you as a researcher aim to address through your research. It is a clear and concise statement that defines the focus of the study and provides a rationale for why it is worth investigating.

Example of a Research Problem: “What is the impact of social media usage on the mental health and well-being of adolescents?”

Problem Statement: The problem statement, on the other hand, is a brief and clear description of the problem that you want to solve or investigate. It is more focused and specific than the research problem and provides a snapshot of the main issue being addressed.

Example of a Problem Statement: “ The purpose of this study is to examine the relationship between social media usage and the mental health outcomes of adolescents, with a focus on depression, anxiety, and self-esteem.”

In summary, a research problem is the broader issue or question guiding the study, while the problem statement is a concise description of the specific problem being addressed in the research. The problem statement is usually found in the introduction section of a research proposal or thesis.

Challenges and Considerations

Formulating a research problem involves several challenges and considerations that researchers should carefully address:

• Feasibility: Before you finalize a research problem, it is crucial to assess its feasibility. Consider the availability of resources, time, and expertise required to conduct the research. Evaluate potential constraints and determine if the research problem can be realistically tackled within the given limitations.
• Novelty and Contribution: A well-crafted research problem should aim to contribute to existing knowledge in the field. Ensure that your research problem addresses a gap in the literature or provides innovative insights. Review past studies to understand what has already been done and how your research can build upon or offer something new.
• Ethical and Social Implications: Take into account the ethical and social implications of your research problem. Research involving human subjects or sensitive topics requires ethical considerations. Consider the potential impact of your research on individuals, communities, or society as a whole. 
• Scope and Focus: Be mindful of the scope of your research problem. A problem that is too broad may be challenging to address comprehensively, while one that is too narrow might limit the significance of the findings. Strike a balance between a focused research problem that can be thoroughly investigated and one that has broader implications.
• Clear Objectives: Ensure that your research problem aligns with specific research objectives. Clearly define what you intend to achieve through your study. Having well-defined objectives will help you stay on track and maintain clarity throughout the research process.
• Relevance and Significance: Consider the relevance and significance of your research problem in the context of your field of study. Assess its potential implications for theory, practice, or policymaking. A research problem that addresses important questions and has practical implications is more likely to be valuable to the academic community and beyond.
• Stakeholder Involvement: In some cases, involving relevant stakeholders early in the process of formulating a research problem can be beneficial. This could include experts in the field, practitioners, or individuals who may be impacted by the research. Their input can provide valuable insights that can help you enhance the quality of the research problem.

In conclusion, understanding how to formulate a research problem is fundamental for you to have meaningful research and intellectual growth. Remember that a well-crafted research problem serves as the foundation for groundbreaking discoveries and advancements in various fields. It not only enhances the credibility and relevance of your study but also contributes to the expansion of knowledge and the betterment of society.

Therefore, put more effort into the process of identifying and formulating research problems with enthusiasm and curiosity. Engage in comprehensive literature reviews, observe your surroundings, and reflect on the gaps in existing knowledge. Lastly, don’t forget to be mindful of the challenges and considerations, and ensure your research problem aligns with clear objectives and ethical principles.

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Identifying a Research Problem: A Step-by-Step Guide

Identifying a research problem is a crucial first step in the research process, serving as the foundation for all subsequent research activities. This guide provides a comprehensive overview of the steps involved in identifying a research problem, from understanding its essence to employing advanced strategies for refinement.

Key Takeaways

• Understanding the definition and importance of a research problem is essential for academic success.
• Exploring diverse sources such as literature reviews and consultations can help in formulating a solid research problem.
• A clear problem statement, aligned research objectives, and well-defined questions are crucial for a focused study.
• Evaluating the feasibility and potential impact of a research problem ensures its relevance and scope.
• Advanced strategies, including interdisciplinary approaches and technology utilization, can enhance the identification and refinement of research problems.

Understanding the Essence of Identifying a Research Problem

Defining the research problem.

A research problem is the focal point of any academic inquiry. It is a concise and well-defined statement that outlines the specific issue or question that the research aims to address. This research problem usually sets the tone for the entire study and provides you, the researcher, with a clear purpose and a clear direction on how to go about conducting your research.

Importance in Academic Research

It also demonstrates the significance of your research and its potential to contribute new knowledge to the existing body of literature in the world. A compelling research problem not only captivates the attention of your peers but also lays the foundation for impactful and meaningful research outcomes.

Initial Steps to Identification

To identify a research problem, you need a systematic approach and a deep understanding of the subject area. Below are some steps to guide you in this process:

• Conduct a thorough literature review to understand what has been studied before.
• Identify gaps in the existing research that could form the basis of your study.
• Consult with academic mentors to refine your ideas and approach.

Exploring Sources for Research Problem Identification

Literature review.

When you embark on the journey of identifying a research problem, a thorough literature review is indispensable. This process involves scrutinizing existing research to find literature gaps and unexplored areas that could form the basis of your research. It's crucial to analyze recent studies, seminal works, and review articles to ensure a comprehensive understanding of the topic.

Existing Theories and Frameworks

The exploration of existing theories and frameworks provides a solid foundation for developing a research problem. By understanding the established models and theories, you can identify inconsistencies or areas lacking in depth which might offer fruitful avenues for research.

Consultation with Academic Mentors

Engaging with academic mentors is vital in shaping a well-defined research problem. Their expertise can guide you through the complexities of your field, offering insights into feasible research questions and helping you refine your focus. This interaction often leads to the identification of unique and significant research opportunities that align with current academic and industry trends.

Formulating the Research Problem

Crafting a clear problem statement.

To effectively address your research problem, start by crafting a clear problem statement . This involves succinctly describing who is affected by the problem, why it is important, and how your research will contribute to solving it. Ensure your problem statement is concise and specific to guide the entire research process.

Setting Research Objectives

Setting clear research objectives is crucial for maintaining focus throughout your study. These objectives should directly align with the problem statement and guide your research activities. Consider using a bulleted list to outline your main objectives:

• Understand the underlying factors contributing to the problem
• Explore potential solutions
• Evaluate the effectiveness of proposed solutions

Determining Research Questions

The formulation of precise research questions is a pivotal step in defining the scope and direction of your study. These questions should be directly derived from your research objectives and designed to be answerable through your chosen research methods. Crafting well-defined research questions will help you maintain a clear focus and avoid common pitfalls in the research process.

Evaluating the Scope and Relevance of the Research Problem

Feasibility assessment.

Before you finalize a research problem, it is crucial to assess its feasibility. Consider the availability of resources, time, and expertise required to conduct the research. Evaluate potential constraints and determine if the research problem can be realistically tackled within the given limitations.

Significance to the Field

Ensure that your research problem has a clear and direct impact on the field. It should aim to contribute to existing knowledge and address a real-world issue that is relevant to your academic discipline.

Potential Impact on Existing Knowledge

The potential impact of your research problem on existing knowledge cannot be understated. It should challenge, extend, or refine current understanding in a meaningful way. Consider how your research can add value to the existing body of work and potentially lead to significant advancements in your field.

Techniques for Refining the Research Problem

Narrowing down the focus.

To effectively refine your research problem, start by narrowing down the focus . This involves pinpointing the specific aspects of your topic that are most significant and ensuring that your research problem is not too broad. This targeted approach helps in identifying knowledge gaps and formulating more precise research questions.

Incorporating Feedback

Feedback is crucial in the refinement process. Engage with academic mentors, peers, and experts in your field to gather insights and suggestions. This collaborative feedback can lead to significant improvements in your research problem, making it more robust and relevant.

Iterative Refinement Process

Refinement should be seen as an iterative process, where you continuously refine and revise your research problem based on new information and feedback. This approach ensures that your research problem remains aligned with current trends and academic standards, ultimately enhancing its feasibility and relevance.

Challenges in Identifying a Research Problem

Common pitfalls and how to avoid them.

Identifying a research problem can be fraught with common pitfalls such as selecting a topic that is too broad or too narrow. To avoid these, you should conduct a thorough literature review and seek feedback from peers and mentors. This proactive approach ensures that your research question is both relevant and manageable.

Dealing with Ambiguity

Ambiguity in defining the research problem can lead to significant challenges down the line. Ensure clarity by operationalizing variables and explicitly stating the research objectives. This clarity will guide your entire research process, making it more structured and focused.

Balancing Novelty and Practicality

While it's important to address a novel issue in your research, practicality should not be overlooked. A research problem should not only contribute new knowledge but also be feasible and have clear implications. Balancing these aspects often requires iterative refinement and consultation with academic mentors to align your research with real-world applications.

Advanced Strategies for Identifying a Research Problem

Interdisciplinary approaches.

Embrace the power of interdisciplinary approaches to uncover unique and comprehensive research problems. By integrating knowledge from various disciplines, you can address complex issues that single-field studies might overlook. This method not only broadens the scope of your research but also enhances its applicability and depth.

Utilizing Technology and Data Analytics

Leverage technology and data analytics to refine and identify research problems with precision. Advanced tools like machine learning and big data analysis can reveal patterns and insights that traditional methods might miss. This approach is particularly useful in fields where large datasets are involved, or where real-time data integration can lead to more dynamic research outcomes.

Engaging with Industry and Community Needs

Focus on the needs of industry and community to ensure your research is not only academically sound but also practically relevant. Engaging with real-world problems can provide a rich source of research questions that are directly applicable and beneficial to society. This strategy not only enhances the relevance of your research but also increases its potential for impact.

Dive into the world of academic success with our 'Advanced Strategies for Identifying a Research Problem' at Research Rebels. Our expertly crafted guides and action plans are designed to simplify your thesis journey, transforming complex academic challenges into manageable tasks. Don't wait to take control of your academic future. Visit our website now to learn more and claim your special offer!

In conclusion, identifying a research problem is a foundational step in the academic research process that requires careful consideration and systematic approach. This guide has outlined the essential steps involved, from understanding the context and reviewing existing literature to formulating clear research questions. By adhering to these guidelines, researchers can ensure that their studies are grounded in a well-defined problem, enhancing the relevance and impact of their findings. It is crucial for scholars to approach this task with rigor and critical thinking to contribute meaningfully to the body of knowledge in their respective fields.

Frequently Asked Questions

What is a research problem.

A research problem is a specific issue, inconsistency, or gap in knowledge that needs to be addressed through scientific inquiry. It forms the foundation of a research study, guiding the research questions, methodology, and analysis.

Why is identifying a research problem important?

Identifying a research problem is crucial as it determines the direction and scope of the study. It helps researchers focus their inquiry, formulate hypotheses, and contribute to the existing body of knowledge.

How do I identify a suitable research problem?

To identify a suitable research problem, start with a thorough literature review to understand existing research and identify gaps. Consult with academic mentors, and consider relevance, feasibility, and your own interests.

What are some common pitfalls in identifying a research problem?

Common pitfalls include choosing a problem that is too broad or too narrow, not aligning with existing literature, lack of originality, and failing to consider the practical implications and feasibility of the study.

Can technology help in identifying a research problem?

Yes, technology and data analytics can aid in identifying research problems by providing access to a vast amount of data, revealing patterns and trends that might not be visible otherwise. Tools like digital libraries and research databases are particularly useful.

How can I refine my research problem?

Refine your research problem by narrowing its focus, seeking feedback from peers and mentors, and continually reviewing and adjusting the problem statement based on new information and insights gained during preliminary research.

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