Researcher degrees of freedom refers to:

• A. The variance of the outcome variable.
• B. The analytic decisions a researcher makes that potentially influence the results of the analysis.
• C. The sample size used in the study.
• D. The p-values used in reporting results.

Answer: (B)

Researcher degrees of freedom refer to the analytic decisions a researcher makes that potentially influence the results of the analysis. This includes choices like which variables to include, how to handle missing data or outliers, how to transform or scale variables, which statistical tests to run, and whether to report only the analyses that show significant results. Because these decisions are often made after looking at the data, they can produce a significant finding by chance even if there isn’t a real effect, leading to biased conclusions. It’s not about how dispersed the data are (variance), not about how many observations you have (sample size), and not about the p-values themselves (the results of the tests); it’s about the flexibility in analysis decisions that can steer those results.