Longitudinal Data Analysis Using Structural Equation Models cover image

Longitudinal Data Analysis Using Structural Equation Models

By Jack J. McArdle and John R. Nesselroade
pdf
Format
2014
Year
English
Language
American Psychological Association (APA)
Publisher

Summary

When determining the most appropriate method for analyzing longitudinal data, you must first consider what research question you want to answer. In this book, McArdle and Nesselroade identify five basic purposes of longitudinal structural equation modeling. For each purpose, they present the most useful strategies and models. Two important but underused approaches are emphasized: multiple factorial invariance over time and latent change scores. The book covers a wealth of models in a straightforward, understandable manner. Rather than overwhelm the reader with an extensive amount of algebra, the authors use path diagrams and emphasize methods that are appropriate for many uses. 2014

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