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.

chapter 1|14 pages

Old and New Approaches to Latent Variable Modelling

ByDavid J. Bartholomew

chapter 3|22 pages

Hierarchically Related Nonparametric IRT Models, and Practical Data Analysis Methods

ByL. Andries van der Ark, Bas T. Hemker, Klaas Sijtsma

chapter 4|22 pages

Fully Semiparametric Estimation of the Two-Parameter Latent Trait Model for Binary D a ta

ByPanagiota Tzamourani, Martin Knott

chapter 5|20 pages

Analysing Group Differences: A Comparison of SEM Ap­ proaches

ByPilar Rivera, Albert Satorra

chapter 6|16 pages

Strategies for Handling Missing Data in SEM: A User’s Perspective

ByRichard D. Wiggins, Amanda Sacker

chapter 7|14 pages

Exploring Structural Equation Model Misspecifications via Latent Individual Residuals

ByTenko Raykov, Spirinov Penev

chapter 8|18 pages

On Confidence Regions of SEM Models

ByJian-Qing Shi, Sik-Yum Lee, Bo-Cheng Wei

chapter 9|42 pages

Robust Factor Analysis: Methods and Applications

ByPeter Filzmoser

chapter 11|20 pages

Multilevel Factor Analysis Modelling Using Markov Chain Monte Carlo Estimation

ByHarvey Goldstein, William Browne

chapter 12|26 pages

Modelling Measurement Error in Structural Multilevel M odels

ByJean-Paul Fox, Cees A. W. Glas