Data-Graph

by Judith D. Singer

The art of estimating growth curves: Applied Longitudinal Data Analysis by Singer and Willett

Probably a leading book for data analysts who attempt to develop a longitudinal model or to test hypotheses with respect to changes over time, when the overall trend is important but also the individual trend must also be considered. This book offers a clear framework to build such models with clear formulae to calculate variance components and goodness of fit measurements. I find myself using this book for both the design stage and the data analysis. The book covers longitudinal models from basic to highly complex cases. It provides access to data and scripts for several statistical programs, which one may recode for one’s own use. With some other books complementing this one, the troubles of longitudinal analysis are almost eliminated. Conceptual diagrams are missing especially for the latent growth curve modeling, but matrix algebra is available (for those who would use it), which is the way to understand relationships (covariances) between one time point and another.

Dr. Gabriel Liberman – Data-Graph Statistical Consulting 

Link to Amazon