Latent Variable and Latent Structure Models (Quantitative Methodology Series)

Description: Normal 0 false false false EN-US X-NONE X-NONE Latent Variable and Latent Structure Models (Quantitative Methodology Series) ISBN: 9780805840469 / 080584046X Psychology Press , 2002 Hardcover 154 Pages Brand new Table of Contents About the Authors Old and New Approaches to Latent Variable Modeling Locating Don't Know, No Answer and Middle Alternatives on an Attitude Scale, a Latent Variable Approach Hierarchically Related Nonparametric IRT Models, and Practical Data Analysis Methods Fully Semi Parametric Estimation of the Two Parameter Latent Trait Model for Binary Data Analyzing Group Differences, a Comparison of SEM Approaches Strategies for Handling Missing Data in SEM, A User's Perspective Exploring Structural Equation Model Miss Specifications the Latent Individual Residuals On Confidence Regions of SEM Models Robust Factor Analysis, Methods and Applications Using Predicted Latent Scores in General Latent Structure Models Multi-Level Factor Analysis Modeling Using Markov Chain Monte Carlo Estimation Modeling Measurement Error in Structural Multi-Level Models Author Index Subject Index Publisher: About the book 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.

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