Main description:

The book features many figures and tables illustrating longitudinal data and numerous homework problems.

The associated web site contains many longitudinal data sets, examples of computer code, and labs to re-enforce the material.

Weiss emphasizes continuous data rather than discrete data, graphical and covariance methods, and generalizations of regression rather than generalizations of analysis of variance.

Contents:

to Longitudinal Data.- Plots.- Simple Analyses.- Critiques of Simple Analyses.- The Multivariate Normal Linear Model.- Tools and Concepts.- Specifying Covariates.- Modeling the Covariance Matrix.- Random Effects Models.- Residuals and Case Diagnostics.- Discrete Longitudinal Data.- Missing Data.- Analyzing Two Longitudinal Variables.- Further Reading.