Longitudinal Structural Equation Modeling 2nd Edition

Capture the cutting edge of longitudinal analysis with Longitudinal Structural Equation Modeling, 2nd Edition by Todd D. Little — an essential resource for researchers, advanced students, and practitioners working with change over time. This thoroughly revised edition brings clarity to complex longitudinal designs, offering practical guidance for modeling growth, stability, and dynamic relations in repeated-measures data.

Inside, you’ll find clear explanations of core techniques—latent growth models, cross-lagged and autoregressive approaches, time-varying covariates, multilevel SEM, and handling missing or unequally spaced data—presented with real-world examples from psychology, education, health sciences, and social research. Little balances rigorous theory with applied steps so readers can move from conceptual questions to model specification, estimation, and interpretation with confidence.

What sets this edition apart is its emphasis on practical decision-making: choosing appropriate models for your research questions, evaluating model fit, and interpreting longitudinal parameters in meaningful terms. Whether you’re conducting dissertation work, designing longitudinal studies, or validating interventions across time, this book provides the tools to make robust inferences and communicate results clearly to peers and stakeholders worldwide.

Accessible yet authoritative, Todd D. Little’s Longitudinal Structural Equation Modeling (2nd Ed.) belongs on the shelf of anyone serious about longitudinal data analysis. Equip yourself with the contemporary techniques and insights needed to advance your research. Order your copy today and take the next step in mastering longitudinal SEM for studies in North America, Europe, Australia, and beyond.

Note: eBooks do not include supplementary materials such as CDs, access codes, etc.