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| Subject: Longitudinal Data Analysis Using Structural Equation Models Sun Jan 10, 2016 1:59 pm | |
| 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. Download link:Buy Premium From My Links To Support Me & Download with MaX SPeeD!Title: Longitudinal Data Analysis Using Structural Equation Models Size: 4.71 MB | Format: zip Download: - Code:
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