BLOCK 2: Dimension Reduction
Workflows
Methods Overview
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
Workflow
LMM analysis workflow
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
Reason about random effect correlations
Check assumptions
Detect influential points and groups
Troubleshoot common issues
Change optimiser
Simplify random effects
Report LMM analyses and results
Create a nicely-formatted table of coefficients
BLOCK 2: Dimension Reduction
Concepts
Refresher: Variance, Covariance, Correlation
Dimensionality of Data
PCA
Workflows
Methods for Dimension Reduction, Discovery, and Testing
Methods Overview
How to
Calculate Scale Scores
Get PCA Scores
Decide on the Number of Components/Factors
More resources
Other names for LMMs
BLOCK 2: Dimension Reduction
Workflows
Methods Overview
Methods Overview