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.

Longitudinal Data Analysis Using Structural Equation Models

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Hardback by John J. McArdle , John R. Nesselroade

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When determining the most appropriate method for analyzing longitudinal data, you must first consider what research question you want to... Read more

    Publisher: American Psychological Association
    Publication Date: 16/06/2014
    ISBN13: 9781433817151, 978-1433817151
    ISBN10: 1433817152

    Number of Pages: 426

    Non Fiction , Politics, Philosophy & Society

    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.

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