Post-Class Self-Check - Statistical Data Analysis

Concept Confidence Checklist

Tick each box only if you can answer the question confidently without looking at the slides. Be honest with yourself — this is for your own revision.

Q1: Can I explain what an eigenvalue represents in PCA?

Q2: Can I read a scree plot and apply Kaiser’s rule to decide how many components to keep?

Q3: Can I explain the key difference between PCA and EFA in one sentence?

Q4: Can I look at a factor loading matrix and assign items to factors?

Q5: Can I run basic PCA and EFA in R using prcomp() and fa()?

If unsure, review: PCA in R: prcomp() and EFA in R: fa()

0/5 concepts confident

If you checked fewer than 4, review the linked slides before the next class. The R exercises page has hands-on practice for each concept.