BLOCK 2: Dimension Reduction
How to
Reading EFA Output
DAPR3 Flashcards
DAPR3 flash cards (2026/27)
Block 1: LMMs
Concepts
How to
BLOCK 2: Dimension Reduction
Concepts
Refresher: Variance, Covariance, Correlation
Dimensionality of Data
Methods for Dimension Reduction, Discovery, and Testing
PCA
Exploratory Factor Analysis (EFA)
EFA vs PCA
Rotations in EFA
How to
Calculating Scale Scores
Getting PCA Scores
Checking Suitability for Factor Analysis
Deciding on Rotation and Factor Extraction Methods
Deciding on the Number of Components/Factors
Reading EFA Output
Fitting and Comparing EFA solutions
Getting Factor Scores
More resources
Other names for LMMs
LMM analysis workflow
Wrangling Questionnaire Data
block2_wf02_efa.qmd
On this page
Pattern Matrix
Communalities
Uniqueness
Complexities
SS loadings & Variance Accounted for
Factor Correlations
Optional Extras: Fit indices etc.
BLOCK 2: Dimension Reduction
How to
Reading EFA Output
Reading EFA Output
Pattern Matrix
Communalities
Uniqueness
Complexities
SS loadings & Variance Accounted for
Factor Correlations
Optional Extras: Fit indices etc.
