Longitudinal Data Analysis Using Structural Equation Models

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Mathematics - Applied Mathematics
Longitudinal Data Analysis Using...

Longitudinal Data Analysis Using Structural Equation Models

Name: Longitudinal Data Analysis Using Structural Equation Models
ISBN: 9781433817151

John J. McArdle, John R. Nesselroade

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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

Kategorien:

Mathematics - Applied Mathematics

Jahr:

2014

Auflage:

Verlag:

American Psychological Association (APA)

Sprache:

english

Seiten:

426

ISBN 10: