The foundation of a successful experimental study is a well-defined research question and a clear hypothesis. These elements serve as the central driving factors of the entire research process. They will inform how data is collected, the methods used to analyze it, and the lens through which results will be interpreted. Without clarity in a research question and hypothesis, researchers run the risk of conducting vague experiments that do not have applicable or correctly interpretable results.  

This article will explore how to define effective research questions, formulate relevant hypotheses, and avoid common errors made in the process.  

Understanding Research Questions

A research question is broadly defined as the central question an experiment seeks to answer. It must frame the scope and direction of the study and it will be used to influence all subsequent decisions made in the research process. The best research questions arise from an understanding of what is already known in the field and an awareness of unresolved issues or gaps in knowledge that can be filled with new experimental results.  

When developing a research question, it is critical that it be relevant to the overarching field of research. However, a research question but also be feasible given the available time, resources, and tools in order to lead to a successful experiment.  

Characteristics of a Strong Research Question

All strong research questions share a few key characteristics:  

• Clear and specific. The question should clearly outline what is being investigated and avoid vague terms that might confuse interpretation or application of the question.
• Researchable. The question must be answerable using existing scientific methods and not be so abstract that it is impossible to investigate empirically.
• Focused. The question should have a narrow focus so that it is controlled and manageable for a single experiment or set of related experiments.
• Significant. The question should contribute to the field by addressing an outstanding known issue or gap in knowledge.

For example, a weak research question may be “how does marketing impact sales” while a strong research question may be “how does the frequency of an email campaign impact monthly sales over a six month period?” The second question is much more specific and focused and the limited time frame makes it more researchable than the vague impact referenced in the first question.  

Going from Research Question to Hypothesis

Once you have a well-defined research question, the next step is to craft a hypothesis. This effectively translates the question into a statement that can be tested experimentally. The hypothesis will serve as the prediction that you will later provide support for or against using your experiment.  

There are two forms of a hypothesis. The null hypothesis suggests that there is no effect or relationship between the variables and is the default position you are hoping to disprove. For example, the null hypothesis could be that there is no difference in monthly sales over a six month period when email campaigns are implemented. The alternative hypothesis suggests a specific relationship between the variables based on what the researcher expects to see in the data. For example, an alternative hypothesis could be that an increase of three marketing emails a month will be associated with a 10% increase in monthly sales over a six month period.  

Characteristics of a Strong Hypothesis

A strong hypothesis must have these three characteristics:  

• Testable. The hypothesis must refer to an outcome that can be measured and assessed in the experiment.
• Falsifiable. The hypothesis must be able to be refuted through experimentation. If it is impossible to disprove, it cannot be a valid hypothesis.
• Specific. The hypothesis should predict a specific effect or relationship and not refer to a general trend.

For example, a hypothesis that emails will increase sales is not specific enough to be a valid hypothesis because it does not indicate the magnitude of emails or increase in sales that would be necessary to support the hypothesis.  

Iterative Refining

The process of defining research questions and hypotheses is often iterative. As you better understand the field, literature, and get feedback from subject experts, your questions and hypotheses can change.Be open to revising these elements as new information arises as scientific inquiry is often a dynamic, changing process.  

A tool that is commonly used to validate research questions and hypotheses is small-scale pilot studies. These involve collecting small data sets and conducting brief preliminary analysis to determine the feasibility of your questions and hypothesis. Pilot studies can also reveal unanticipated issues with the question, hypothesis, or research design that can be addressed before a large-scale experiment is started.  

Conclusion

Defining strong research questions and hypotheses is an essential first step in any experiment as these elements shape the focus, direction, and success of your study. In the process, it is important to ensure that these elements are specific, measurable, and relevant to the overall field. A well-defined research question and hypothesis are not just formalities; they are the pillars of a successful and scientifically sound experiment.