Latent Variable and Latent Structure Models

✍ Scribed by George A. Marcoulides, Irini Moustaki

• Publisher: Psychology Press
• Year: 2002
• Tongue: English
• Leaves: 293
• Series: Quantitative Methodology Series
• Edition: illustrated edition
• Category: Library

✦ Synopsis

This edited volume features cutting-edge topics from the leading researchers in the areas of latent variable modeling. Content highlights include coverage of approaches dealing with missing values, semi-parametric estimation, robust analysis, hierarchical data, factor scores, multi-group analysis, and model testing. New methodological topics are illustrated with real applications. The material presented brings together two traditions: psychometrics and structural equation modeling. Latent Variable and Latent Structure Models' thought-provoking chapters from the leading researchers in the area will help to stimulate ideas for further research for many years to come. This volume will be of interest to researchers and practitioners from a wide variety of disciplines, including biology, business, economics, education, medicine, psychology, sociology, and other social and behavioral sciences. A working knowledge of basic multivariate statistics and measurement theory is assumed.

✦ Table of Contents

Contents......Page 6
Preface......Page 8
About the Authors......Page 10
1 Old and New Approaches to Latent Variable Modelling......Page 14
2 Locating ‘Don’t Know’, ‘No Answer’ and Middle Alternatives on an Attitude Scale: A Latent Variable Approach......Page 28
3 Hierarchically Related Nonparametric IRT Models, and Practical Data Analysis Methods......Page 54
4 Fully Semiparametric Estimation of the Two-Parameter Latent Trait Model for Binary Data......Page 76
5 Analysing Group Differences: A Comparison of SEM Approaches......Page 98
6 Strategies for Handling Missing Data in SEM: A User’s Perspective......Page 118
7 Exploring Structural Equation Model Misspecifications via Latent Individual Residuals......Page 134
8 On Confidence Regions of SEM Models......Page 148
9 Robust Factor Analysis: Methods and Applications......Page 166
10 Using Predicted Latent Scores in General Latent Structure Models......Page 208
11 Multilevel Factor Analysis Modelling Using Markov Chain Monte Carlo Estimation......Page 238
12 Modelling Measurement Error in Structural Multilevel Models......Page 258
C......Page 284
H......Page 285
M......Page 286
R......Page 287
W......Page 288
Z......Page 289
E......Page 290
M......Page 291
R......Page 292
W......Page 293

✦ Subjects

Психологические дисциплины;Матметоды и моделирование в психологии;