Longitudinal Data Analysis Using Structural Equation Models
John J McArdle author John R Nesselroade author
Format:Hardback
Publisher:American Psychological Association
Published:16th Jun '14
Currently unavailable, and unfortunately no date known when it will be back
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.
An excellent resource for graduate students and researchers.
* Doody's Review ServiISBN: 9781433817151
Dimensions: unknown
Weight: unknown
426 pages