Multilevel Modeling : Methodological Advances, Issues, and Applications

ISBN-13: 9780805836707 / Angielski / Twarda / 2002 / 328 str.

Steven Paul Reise; Naihua Duan

Opis

This volume is intended to appeal to researchers who work with nested data structures or repeated measures data, including biomedical and health researchers, clinical/intervention researchers and developmental and educational psychologists. It also has some potential as a graduate level text.

Recenzje

"The papers are of uniformly high quality. The authors are largely experienced and highly respected statisticians and psychometricians. The topics are important, diverse, and cutting edge. I found the writing to be suprisingly accessible..."
—Personnel Psychology

Spis treści

Contents: Preface. R. Cudeck, S.H.C. du Toit, Nonlinear Multilevel Models for Repeated Measures Data. M. Seltzer, K. Choi, Sensitivity Analysis for Hierarchical Models: Downweighting and Identifying Extreme Cases Using the t Distribution. P.M. Bentler, J. Liang, Two-Level Mean and Covariance Structures: Maximum Likelihood via an EM Algorithm. B. Muthén, S-T. Khoo, D.J. Francis, C.K. Boscardin, Analysis of Reading Skills Development From Kindergarten Through First Grade: An Application of Growth Mixture Modeling to Sequential Processes. J.J. Hox, E.D. de Leeuw, Multilevel Models for Meta-Analysis. B. Jo, B.O. Muthén, Longitudinal Studies With Intervention and Noncompliance: Estimation of Causal Effects in Growth Mixture Modeling. E.R. Baumler, R.B. Harrist, S. Carvajal, Analysis of Repeated Measures Data. N. Bachmann, R. Hornung, The Development of Social Resources in a University Setting: A Multilevel Analysis. A. Fielding, Ordered Category Responses and Random Effects in Multilevel and Other Complex Structures. D. Hutchison, Bootstrapping the Effect of Measurement Errors on Apparent Aggregated Group-Level Effects. R. Ecob, G. Der, An Iterative Method for the Detection of Outliers in Longitudinal Growth Data Using Multilevel Models. K.J. Rowe, Estimating Interdependent Effects Among Multilevel Composite Variables in Psychosocial Research: An Example of the Application of Multilevel Structural Equation Modeling. S.P. Reise, N. Duan, Design Issues in Multilevel Studies.

O autorze

Steven P. Reise, Naihua Duan