Case Study

Based on the standard procedures for data analysis, diagnose what the student did wrong in their workflow and explain the specific preliminary steps they skipped before addressing their primary research question.

Case context: A student researcher collects data using a 15-item questionnaire measuring academic burnout and a single question asking for participants' exact age. As soon as the data is entered into a spreadsheet, the student immediately runs a statistical test to see if age predicts burnout scores, which is their primary research question.

Question: Based on the standard procedures for data analysis, diagnose what the student did wrong in their workflow and explain the specific preliminary steps they skipped before addressing their primary research question.

Sample answer: The student skipped preliminary analyses, which are necessary to evaluate the quality and characteristics of the data before testing the primary research question. Specifically, they failed to assess the internal consistency of their 15-item academic burnout questionnaire. They also neglected to analyze the distributions of age and burnout scores separately, and they did not check for or manage any potential outliers in their dataset.

Key points:

  • Diagnose that the student skipped evaluating the quality and characteristics of their data.
  • Explain they missed assessing the internal consistency of the 15-item measure.
  • Explain they missed analyzing the separate distributions of their important variables.
  • Explain they missed identifying and managing potential outliers.

Rubric: Award full credit if the student explains that the researcher failed to evaluate data quality first and correctly maps the three preliminary analysis steps to the variables in the scenario.

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Updated 2026-05-27

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Research Methods in Psychology - 4th American Edition @ KPU

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