Longitudinal Data Analysis Using Structural Equation Models

Longitudinal Data Analysis Using Structural Equation Models
Author :
Publisher : American Psychological Association (APA)
Total Pages : 426
Release :
ISBN-10 : 1433817152
ISBN-13 : 9781433817151
Rating : 4/5 (151 Downloads)

Book Synopsis Longitudinal Data Analysis Using Structural Equation Models by : John J. McArdle

Download or read book Longitudinal Data Analysis Using Structural Equation Models written by John J. McArdle and published by American Psychological Association (APA). This book was released on 2014 with total page 426 pages. Available in PDF, EPUB and Kindle. Book excerpt: When determining the most appropriate method for analyzing longitudinal data, you must first consider what research question you want to answer. 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. This volume 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. Book jacket.


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