[Longitudinal Structural Equation Modeling] (By: Todd D. Little) [published: June, 2013]

Methodology in the Social Sciences

by Todd D. Little

Featuring actual datasets as illustrative examples, this book reveals numerous ways to apply structural equation modeling (SEM) to any repeated-measures study. Initial chapters lay the groundwork for modeling a longitudinal change process, from measurement, design, and specification issues to model evaluation and interpretation. Covering both big-picture ideas and technical "how-to-do-it" details, the author deftly walks through when and how to use longitudinal confirmatory factor analysis, longitudinal panel models (including the multiple-group case), multilevel models, growth curve models, and complex factor models, as well as models for mediation and moderation. User-friendly features include equation boxes that clearly explain the elements in every equation, end-of-chapter glossaries, and annotated suggestions for further reading. The companion website ( provides datasets for all of the examples--which include studies of bullying, adolescent students' emotions, and healthy aging--with syntax and output from LISREL, Mplus, and R (lavaan).

Hardcover

First published January 1, 2013

Reviews

[Veronica · Rating 5 out of 5]

Another great author with a way of explaining complex topics with plain and accessible language! A very enjoyable read with the right amount of challenge! This definitely helps me go from analysing cross-sectional to longitudinal data. Highly recommend it!

[Donald Schopflocher · Rating 5 out of 5]

State of the art.