Factor Analysis, SEM, Multilevel & Longitudinal Modeling

The purpose of this edited volume is to introduce the latest issues and developments in latent variable and latent structure models...

This accessible guide focuses on lavaan to help readers understand latent variable model (LVMs) and their analysis in R. The reasoning behind the syntax selected is provided along with multidisciplinary examples. Chapters feature key terms, interpretations of output, examples of how to write about t..

This book demonstrates how to conduct latent variable modeling in R by highlighting the features of each model, their specialized uses, examples, sample code and output, and an interpretation of the results. Each chapter features an example with an analysis of the data using R, the theory, and the ..

This book demonstrates how to conduct latent variable modeling in R by highlighting the features of each model, their specialized uses, examples, sample code and output, and an interpretation of the results. Each chapter features an example with an analysis of the data using R, the theory, and the ..

This book introduces multiple-latent variable models by utilizing path diagrams to explain the underlying relationships in the models...

This class-tested introduction emphasizes the relatedness of the models that builds a strong foundation of the basics to better prepare readers for the more advanced models to come. Organized by research design, the text emphasizes modeling decisions unique to longitudinal or repeated measures data...

This class-tested introduction emphasizes the relatedness of the models that builds a strong foundation of the basics to better prepare readers for the more advanced models to come. Organized by research design, the text emphasizes modeling decisions unique to longitudinal or repeated measures data...

First Published in 2012. Routledge is an imprint of Taylor & Francis, an informa company...

First Published in 2012. Routledge is an imprint of Taylor & Francis, an informa company...

This comprehensive resource reviews structural equation modeling (SEM) strategies for longitudinal data. The author explores the connections between SEM and other longitudinal techniques to help readers better understand when to choose one analysis over another. Accessibly written, examples from the..

This edited volume makes accessible the latest techniques used to assess intraindividual variability(how indivs behave across time & to what degree behavior changes). Unneccessary mathematical detail is avoided & concrete empirical examples provided...

This edited volume makes accessible the latest techniques used to assess intraindividual variability(how indivs behave across time & to what degree behavior changes). Unneccessary mathematical detail is avoided & concrete empirical examples provided...