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Modeling Intraindividual Variability With Repeated Measures Data -

Modeling Intraindividual Variability With Repeated Measures Data

Methods and Applications
Buch | Hardcover
292 Seiten
2001
Psychology Press (Verlag)
9780805831252 (ISBN)
CHF 235,65 inkl. MwSt
This edited volume makes accessible the latest techniques used to assess intraindividual variability(how indivs behave across time & to what degree behavior changes). Unneccessary mathematical detail is avoided & concrete empirical examples provided.
This book examines how individuals behave across time and to what degree that behavior changes, fluctuates, or remains stable.

It features the most current methods on modeling repeated measures data as reported by a distinguished group of experts in the field. The goal is to make the latest techniques used to assess intraindividual variability accessible to a wide range of researchers. Each chapter is written in a "user-friendly" style such that even the "novice" data analyst can easily apply the techniques.

Each chapter features:



a minimum discussion of mathematical detail;
an empirical example applying the technique; and
a discussion of the software related to that technique.

Content highlights include analysis of mixed, multi-level, structural equation, and categorical data models. It is ideal for researchers, professionals, and students working with repeated measures data from the social and behavioral sciences, business, or biological sciences.

Scott L. Hershberger, D.S. Moskowitz

Contents: Preface. D.A.Kenny, N. Bolger, D.A. Kashy, Traditional Methods for Estimating Multilevel Models. S.W. Raudenbush, Alternative Covariance Structures for Polynomial Models of Individual Growth and Change. P.J. Curran, A.M. Hussong, Structural Equation Modeling of Repeated Measures Data: Latent Curve Analysis. J.O. Ramsay, Multilevel Modeling of Longitudinal and Functional Data. D. Wallace, S.B. Green, Analysis of Repeated Measures Designs With Linear Mixed Models. J.D. Singer, Fitting Individual Growth Models Using SAS PROC MIXED. T.E. Duncan, S.C. Duncan, F. Li, L.A. Strycker, Multilevel Modeling of Longitudinal and Functional Data. S. Hillmer, Times Series Regressions. J.R. Nesselroade, J.J. McArdle, S.H. Aggen, J.M. Meyers, Dynamic Factor Analysis Models for Representing Process in Multivariate Time-Series.

Erscheint lt. Verlag 12.11.2001
Reihe/Serie Multivariate Applications Series
Verlagsort Philadelphia
Sprache englisch
Maße 152 x 229 mm
Gewicht 700 g
Themenwelt Geisteswissenschaften Psychologie Sozialpsychologie
Geisteswissenschaften Psychologie Verhaltenstherapie
Mathematik / Informatik Mathematik Angewandte Mathematik
ISBN-13 9780805831252 / 9780805831252
Zustand Neuware
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