| Longitudinal Data Analysis Using Structural Equation Models Contributor(s): McArdle, John J. (Author), Nesselroade, John R. (Author) |
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ISBN: 1433817152 ISBN-13: 9781433817151 Publisher: American Psychological Association (APA) OUR PRICE: $85.49 Product Type: Hardcover - Other Formats Published: June 2014 |
| Additional Information |
| BISAC Categories: - Mathematics | Probability & Statistics - General - Psychology | Research & Methodology - Psychology | Statistics |
| Dewey: 150.721 |
| LCCN: 2013046896 |
| Physical Information: 1.1" H x 7.2" W x 10.2" (2.07 lbs) 426 pages |
| Descriptions, Reviews, Etc. |
| Publisher Description: 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. |