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 Longitudinal Data Analysis Using Structural Equation Models

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PostSubject: Longitudinal Data Analysis Using Structural Equation Models   Longitudinal Data Analysis Using Structural Equation Models EmptySun Jan 10, 2016 1:59 pm

Longitudinal Data Analysis Using Structural Equation Models 29cf6faa13b2209faf9e704b2dee748a

Longitudinal Data Analysis Using Structural Equation Models By John J. McArdle, John R. Nesselroade
2014 | 424 Pages | ISBN: 1433817152 | PDF | 5 MB

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.
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