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About this product
- DescriptionThe authors 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.
- Author BiographyJohn J. (Jack) McArdle, PhD, is senior professor of psychology at the University of Southern California (USC), where he heads the Quantitative Methods Area and has been chair of the USC Research Committee. He received a BA from Franklin & Marshall College (1973; Lancaster, PA) and both an MA and the PhD from Hofstra University (1975, 1977; Hempstead, NY). He now teaches classes in psychometrics, multivariate analysis, longitudinal data analysis, exploratory data mining, and structural equation modeling at USC. John R. Nesselroade, PhD, earned his BS degree in mathematics (Marietta College, Marietta, OH, 1961) and MA and PhD degrees in psychology (University of Illinois at Urbana-Champaign, 1965, 1967). Prior to moving to the University of Virginia in 1991, Dr. Nesselroade spent 5 years at West Virginia University and 19 years at The Pennsylvania State University. He has been a frequent visiting scientist at the Max Planck Institute for Human Development, Berlin. He is a past-president of APA's Division 20 (Adult Development and Aging [1982-1983]) and of SMEP (1999-2000).
- Author(s)John J. McArdle,John R. Nesselroade
- PublisherAmerican Psychological Association
- Date of Publication30/06/2014
- GenrePsychology: Textbooks & Study Guides
- Place of PublicationWashington DC
- Country of PublicationUnited States
- ImprintAmerican Psychological Association
- Width152 mm
- Height229 mm
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