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E-raamat: Latent Variable and Latent Structure Models [Taylor & Francis e-raamat]

Edited by , Edited by (University of Califonia, Riverside, USA)
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Teised raamatud teemal:
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.
Preface iii
About the Authors v
1 Old and New Approaches to Latent Variable Modelling
1(14)
David J. Bartholomew
2 Locating `Don't Know', `No Answer' and Middle Alternatives on an Attitude Scale: A Latent Variable Approach
15(26)
Irini Moustaki
Colm O'Muircheartaigh
3 Hierarchically Related Nonparametric IRT Models, and Practical Data Analysis Methods
41(22)
L. Andries van der Ark
Bas T. Hemker
Klaas Sijtsma
4 Fully Semiparametric Estimation of the Two-Parameter Latent Trait Model for Binary Data
63(22)
Panagiota Tzamourani
Martin Knott
5 Analysing Group Differences: A Comparison of SEM Approaches
85(20)
Pilar Rivera
Albert Satorra
6 Strategies for Handling Missing Data in SEM: A User's Perspective
105(16)
Richard D. Wiggins
Amanda Sacker
7 Exploring Structural Equation Model Misspecifications via Latent Individual Residuals
121(14)
Tenko Raykov
Spirinov Penev
8 On Confidence Regions of SEM Models
135(18)
Jian-Qing Shi
Sik-Yum Lee
Bo-Cheng Wei
9 Robust Factor Analysis: Methods and Applications
153(42)
Peter Filzmoser
10 Using Predicted Latent Scores in General Latent Structure Models
195(30)
Marcel Croon
11 Multilevel Factor Analysis Modelling Using Markov Chain Monte Carlo Estimation
225(20)
Harvey Goldstein
William Browne
12 Modelling Measurement Error in Structural Multilevel Models
245(26)
Jean-Paul Fox
Cees A. W. Glas
Author Index 271(6)
Subject Index 277
George A. Marcoulides, Irini Moustaki