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.
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 hypothesis.
Defining a Research Problem
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.
This is called the conceptual definition, and is an overall view of the problem. A science report will 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
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.
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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