Handbook of Statistical Modeling for the Social and Behavioral Sciences

✍ Scribed by Michael E. Sobel (auth.), Gerhard Arminger, Clifford C. Clogg, Michael E. Sobel (eds.)

• Publisher: Springer US
• Year: 1995
• Tongue: English
• Leaves: 603
• Edition: 1
• Category: Library

✦ Synopsis

Contributors thoroughly survey the most important statistical models used in empirical reserch in the social and behavioral sciences. Following a common format, each chapter introduces a model, illustrates the types of problems and data for which the model is best used, provides numerous examples that draw upon familiar models or procedures, and includes material on software that can be used to estimate the models studied. This handbook will aid researchers, methodologists, graduate students, and statisticians to understand and resolve common modeling problems.

✦ Table of Contents

Front Matter....Pages i-xxi
Causal Inference in the Social and Behavioral Sciences....Pages 1-38
Missing Data....Pages 39-75
Specification and Estimation of Mean Structures: Regression Models....Pages 77-183
Specification and Estimation of Mean- and Covariance-Structure Models....Pages 185-249
The Analysis of Contingency Tables....Pages 251-310
Latent Class Models....Pages 311-359
Panel Analysis for Metric Data....Pages 361-400
Panel Analysis for Qualitative Variables....Pages 401-451
Analysis of Event Histories....Pages 453-517
Random Coefficient Models....Pages 519-570
Back Matter....Pages 571-592

✦ Subjects

Psychology, general; Statistics, general