Longitudinal Data Analysis Using Structural Equation Models

Longitudinal Data Analysis Using Structural Equation Models

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. 2014
Country USA
Brand American Psychological Association
Manufacturer American Psychological Association
Binding Hardcover
Height 10.5
Length 7.5
Weight 2.05911752708
Width 1.25
NumberOfItems 1
ReleaseDate 0000-00-00

Country	USA
Brand	American Psychological Association
Manufacturer	American Psychological Association
Binding	Hardcover
Height	10.5
Length	7.5
Weight	2.05911752708
Width	1.25
NumberOfItems	1
ReleaseDate	0000-00-00

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