New Methods for the Analysis of Change
Published on 1. January 2001
Book
Hardback
512 pages
978-1-55798-754-9 (ISBN)
Description
An exploration of the analysis of change by distinguished authorities on the subject. Subjects covered include methods for estimating and evaluating models of growth and change over time at the level of the individual, issues of measurement, methods for separating intraindividual growth from aspects of phenomena, methods for dealing with missing data. This work should interest a variety of disciplines from psychology, sociology, education and economics.
More details
Series
Language
English
Place of publication
Washington DC
United States
Target group
College/higher education
Professional and scholarly
Illustrations
Illustrations
Dimensions
Height: 234 mm
Width: 156 mm
ISBN-13
978-1-55798-754-9 (9781557987549)
Copyright in bibliographic data is held by Nielsen Book Services Limited or its licensors: all rights reserved.
Schweitzer Classification
Persons
Linda M. Collins is affiliated with the University of Pennsylvania. Aline G. Sayer is affiliated with Harward Medical School in Amherst, MA.
Content
Differential Structural Equation Modeling of Intraindividual Variability - Steven M. Boker; Toward a Coherent Framework for Comparing Trajectories of Individual Change - Stephen W. Raudenbush; A Structural Equation Modeling Approach to the General Linear Mixed Model - Michael J. Rovine and Peter C. M. Molenaar; The Best of Both Worlds: Combining Autoregressive and Latent Curve Models - Patrick J. Curran and Kenneth A. Bollin; Latent Differences Score Structural Models for Linear Curve Models - John J. McArdle and Fumiaki Hamagami; Second-Order Latent Growth Model - Aline G. Sayer and Patricio E. Cumsille; The Role of Factorial Invariance in Modeling Growth and Change - William Meredith and John Horn; Trait-State Models for Longitudinal Data - David A. Kenny and Alex Zautra; Reliability for Static and Dynamic Categorical Latent Variables: Developing Measurement Instruments Based on a Model of the Growth Process - Linda M. Collins; Second-Generation Structural Equation Modeling With a Combination of Categorical and Continuous Latent Variables: New Opportunities for Latent Class-Latent Growth Modeling - Bent Muthen; Planned Missing Data Design in an Analysis of Change - John W. Graham, Bonnie J. Taylor, and Patricio E. Cumsille; Multiple Imputation With PAN - Joseph L. Schafer