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
"...a 'good-to-read' book for all researchers who are interested in
analyzing repeated measures data in general and a 'must-read' book
for those interested in modeling intraindividual variability in
particular, be it in their actual substantive research or in
teaching others in the classroom...the chapters in the book provide
an important contribution in terms of bridging the gap between
advances in repeated-measures data analysis and the current
knowledge levels (on these techniques) of the majority of
researchers in the wide variety of social and behavioral sciences
who are not methodological experts."
-Organizational Research Methods"There is evidence that the chapters underwent some review and revision. In addition, the editors have gone to the trouble to compile author and subject indexes and to write a preface that gives a good overview of the book. These features greatly enhance the text's accessibility and usefulness."
-Journal of the American Statistical Association"This collection provides a valuable set of articles on modeling repeated measures data. It is especially interesting in that it presents a great deal of variation in approaches, while stressing the links between these approaches. Thus, it is a more comprehensive treatment of repeated-measure analysis than other collections that focus on only one of these methods....this is an excellent addition to the bookshelf of any researcher who is interested in modeling intraindividual variability."
-Contemporary Psychology APA REVIEW OF BOOKS