Defining a Research Problem - What Exactly Should You Investigate

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2/24/2015 Defining a Research Problem What exactly should you investigate? https://explorable.com/definingaresearchproblem 1/9 Home Research Methods Defining a Research Problem Martyn Shuttleworth 401.1K reads 13 Comments This article is a part of the guide: Scientific Method Discover 18 more articles on this topic Don't miss these related articles: 1 Overview 2 Null Hypothesis 3 Research Hypothesis 4 Test Hypothesis 5 Selecting Method Browse Full Outline 1 Scientific Method 2 Formulate a Question 2.1 Defining a Research Problem 2.1.1 Null Hypothesis 2.1.2 Research Hypothesis 2.2 Prediction 2.3 Conceptual Variable Defining a Research Problem Defining a research problem is the fuel that drives the scientific process, and is the foundation of any research method and experimental design, from true experiment to case study. It is one of the first statements made in any research paper and, as well as defining the research area, should include a quick synopsis of how the hypothesis was arrived at. Operationalization is then used to give some indication of the exact definitions of the variables, and the type of scientific measurements used. This will lead to the proposal of a viable hypothesis. As an aside, when scientists are putting forward proposals for research funds, the quality of their research problem often makes the difference between success and failure. Structuring the Research Problem Look at any scientific paper, and you will see the research problem, written almost like a statement of intent. Defining a research problem is crucial in defining the quality of the answers, and determines the exact research method used. A quantitative experimental design uses deductive reasoning to arrive at a testable English

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  • 2/24/2015 DefiningaResearchProblemWhatexactlyshouldyouinvestigate?

    https://explorable.com/definingaresearchproblem 1/9

    Home Research Methods Defining a Research Problem

    Martyn Shuttleworth 401.1K reads 13 Comments

    This article is a part of the guide:

    ScientificMethod

    Discover 18 more articles on this

    topic

    Don't miss these related articles:

    1 Overview

    2 Null Hypothesis

    3 Research Hypothesis

    4 Test Hypothesis

    5 Selecting Method

    Browse Full Outline

    1 Scientific Method

    2 Formulate a Question

    2.1 Defining a Research Problem

    2.1.1 Null Hypothesis

    2.1.2 Research Hypothesis

    2.2 Prediction

    2.3 Conceptual Variable

    Defining a Research Problem

    Defining a research problem is the fuel that drives the scientific process, and is the

    foundation of any research method and experimental design, from true

    experiment to case study.

    It is one of the first statements made in any research

    paper and, as well as defining the research area,

    should include a quick synopsis of how the hypothesis

    was arrived at.

    Operationalization is then used to give some

    indication of the exact definitions of the variables, and

    the type of scientific measurements used.

    This will lead to the proposal of a viable hypothesis. As

    an aside, when scientists are putting forward

    proposals for research funds, the quality of their

    research problem often makes the difference between

    success and failure.

    Structuring the Research Problem

    Look at any scientific paper, and you will see the

    research problem, written almost like a statement of

    intent.

    Defining a research problem is crucial in defining the

    quality of the answers, and determines the exact

    research method used. A quantitative experimental

    design uses deductive reasoning to arrive at a testable

    English

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    3 Collect Data

    4 Test Hypothesis

    5 Conclusion

    6 Overview

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    hypothesis.

    Qualitative research designs use inductive reasoning

    to propose a research statement.

    Defining a Research Problem

    Formulating the research problem begins during the first steps of the scientific process.

    As an example, a literature review and a study of previous experiments, and research, might throw

    up some vague areas of interest.

    Many scientific researchers look at an area where a previous researcher generated some interesting

    results, but never followed up. It could be an interesting area of research, which nobody else has

    fully explored.

    A scientist may even review a successful experiment, disagree with the results, the tests used, or

    the methodology, and decide to refine the research process, retesting the hypothesis.

    This is called the conceptual definition, and is an overall view of the problem. A science report will

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    Previous Article

    "Scientific Method"

    Back to Overview

    "Scientific Method"

    Next Article

    "Null Hypothesis"

    generally begin with an overview of the previous research and real-world observations. The

    researcher will then state how this led to defining a research problem.

    The Operational Definitions

    The operational definition is the determining the scalar properties of the variables.

    For example, temperature, weight and time are usually well known and defined, with only the exact

    scale used needing definition. If a researcher is measuring abstract concepts, such as intelligence,

    emotions, and subjective responses, then a system of measuring numerically needs to be

    established, allowing statistical analysis and replication.

    For example, intelligence may be measured with IQ and human responses could be measured with

    a questionnaire from 1- strongly disagree, to 5 - strongly agree.

    Behavioral biologists and social scientists might design an ordinal scale for measuring and rating

    behavior. These measurements are always subjective, but allow statistics and replication of the

    whole research method. This is all an essential part of defining a research problem.

    Examples of Defining a Research Problem

    An anthropologist might find references to a relatively unknown tribe in Papua New Guinea.

    Through inductive reasoning, she arrives at the research problem and asks,

    How do these people live and how does their culture relate to nearby tribes?

    She has found a gap in knowledge, and she seeks to fill it, using a qualitative case study, without a

    hypothesis.

    The Bandura Bobo Doll Experiment is a good example of using deductive reasoning to arrive at a

    research problem and hypothesis.

    Anecdotal evidence showed that violent behavior amongst children was increasing. Bandura

    believed that higher levels of violent adult role models on television, was a contributor to this rise.

    This was expanded into a hypothesis, and operationalization of the variables, and scientific

    measurement scale, led to a robust experimental design.

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