Factor Analysis Flashcards
1
Q
Sample Size & Correlation
A
- Rule of thumb N*10 per item
- KMO test
- correlation matrix >0.3<0.8 -> Pearson product moment coefficient r
2
Q
Factor extraction
A
- A priori
- Kaiser Criterion - Eigenvalue > 1
- Scree Plot -> all factors left to the inflection point
- Parallel Analysis -> all factors left to meeting point
3
Q
Factor rotation
A
Orthogonal -> uncorrelated (Varimax)
=> rotated factor matrix
Oblique -> correlated (Direct Oblimin)
=> pattern matrix
Principle Axis factoring -> excluding error variables
4
Q
Reliability & Validity
A
R = Cronbach‘s Alpha -> unidirectional as an assumption
V = high convergence (high factor loading) & divergence (low factor loading)