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Longitudinal Data Analysis Using Structural Equation Models. 構造方程式モデルを利用した縦断的データ分析
・ISBN 978-1-4338-1715-1 hard US$ 89.99
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★★★
| 著者・編者 | McArdle, John J. / Nesselroade, J. R., |
|---|---|
| 出版社 | (American Psychological Association, US) |
| 出版年月 | 2014 |
| ページ数 | 426 pp. |
| 言語 | ENG |
| ニュース番号 | ＜624-2861 618-2544＞ |
解説
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.
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.