Track C — Chapter 14 Problem Set (Repeated-Measures ANOVA)
This problem set gives you practice with repeated-measures (within-subjects) ANOVA. You will analyze designs where the same participants are measured at 3+ time points.
Prerequisite
Complete the Chapter 14 lab first:
How to run
From the repository root:
python -m scripts.psych_ch14_problem_set
Run a single exercise:
python -m scripts.psych_ch14_problem_set --exercise 1
python -m scripts.psych_ch14_problem_set --exercise 2
python -m scripts.psych_ch14_problem_set --exercise 3
What you should submit
For each exercise:
Report the repeated-measures ANOVA result (F, df, p).
Report partial eta-squared (np2) as the effect size.
Write a 2–4 sentence interpretation in APA-style language, including: - whether there is evidence of change over time, - the direction/pattern of means (e.g., increasing, flat, etc.), - practical interpretation of the effect size.
Exercises
Exercise 1 — Clear time effect
A dataset with three time points and a strong change over time.
Goal: - You should see a significant time effect and a large effect size.
Exercise 2 — No true time effect
A dataset with four time points where the population means are equal.
Goal: - You should see a non-significant time effect and a tiny effect size.