Effect of retrieval practice versus restudy on undergraduate statistics posttest performance, controlling for pretest score, attendance, and prior statistics coursework

What this example demonstrates

• Reports Welch t-test on raw posttest means (t(174)=1.94, p=.054, d=0.29) and ANCOVA adjusting pretest, attendance, and prior coursework (F(1,171)=15.47, p<.001, partial η²=.083).
• Documents homogeneity-of-slopes checks via condition × covariate interactions (all p>.54).
• Includes robustness checks: heteroscedasticity-consistent errors, bootstrap, outlier and ceiling exclusions.
• APA reporting of F tests, partial eta-squared, adjusted mean differences with 95% CI, and Cohen’s d.
• Methods section specifies random assignment to retrieval vs restudy and transparent covariate rationale.

First pages preview

How this paper was generated

1. 1

   Upload simulated experiment CSV

   176-student simulated statistics course data (condition, pre/post tests, attendance, prior coursework) uploaded to Generate Paper.

2. 2

   Analyze and draft

   The system ran t-tests, ANCOVA, interaction models, and sensitivity analyses, then wrote the 10-page manuscript (~9 minutes).

3. 3

   Get the PDF

   Download the unedited draft to see how experimental results and limitations are formatted.