Topic: Grouped Data and Dependence Awareness

Repeated Measurements and Serial Dependence

Recognizing Clustered and Repeated Observations

Nested and Crossed Dependence Structures

Intraclass Correlation and Within-Cluster Similarity

Diagnosing Dependence in Regression Residuals

Deriving the Clustered Sandwich Variance

Deriving Design Effects from Intraclass Correlation

Counting Independent Clusters, Not Just Observations

Confidence Intervals With Cluster-Robust Uncertainty

Common Errors in Clustered Regression Inference