BLOCK 2: Dimension Reduction
How to
Read EFA Output
DAPR3 Flashcards
DAPR3 flash cards (2026/27)
Block 1: LMMs
Concepts
Grouping variables
Data generating process
Fixed effects
Random effects
Random intercepts
Random slopes
Assumptions for LMMs
Maximal model
How to
Identify grouping variables
Describe group-structured data
Plot group-structured data
Add random effects to a model formula
Extract estimates from a fitted model
Plot random effects
Interpret LMM summary
Identify possible random effects
Plot model-fitted values
Get p-values for LMM coefficients
Check assumptions
Detect influential points and groups
Troubleshoot common issues
Change optimiser
Simplify random effects
Report LMM analyses and results
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
Confirmatory Factor Analysis (CFA)
Validity
Reliability
Workflows
Methods Overview
EFA Workflow
How to
Calculate Scale Scores
Get PCA Scores
Check Suitability for Factor Analysis
Decide on Rotation and Factor Extraction Methods
Decide on the Number of Components/Factors
Read EFA Output
Fitting and Comparing EFA solutions
Get Factor Scores
Fit a Confirmatory Factor Model
Estimate reliability using ICC
Estimate internal consistency
More resources
Other names for LMMs
LMM analysis workflow
Wrangling Questionnaire Data
On this page
Pattern Matrix
Communalities
Uniqueness
Complexities
SS loadings & Variance Accounted for
Factor Correlations
BLOCK 2: Dimension Reduction
How to
Read EFA Output
Read EFA Output
Pattern Matrix
Communalities
Uniqueness
Complexities
SS loadings & Variance Accounted for
Factor Correlations
Rabbit Holes
