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Informationen zum Autor Roger E. Millsap is a Professor in the doctoral program in Quantitative Psychology in the Department of Psychology at Arizona State University. His research interests include latent variable modeling, psychometric theory, and multivariate statistics. His recent publications have addressed problems in the evaluation of measurement invariance, either in multiple group data or in longitudinal data. Some of this work has concerned relationships between invariance in measurement and invariance in prediction. He served as the Editor of Multivariate Behavioral Research from 1996 to 2006, and is the current Executive Editor of Psychometrika. He is a Past President of the Society of Multivariate Experimental Psychology, the Psychometric Society, and Division 5 of the American Psychological Association. Alberto Maydeu-Olivares is Associate Professor of Psychology at the University of Barcelona. His research interest focus on structural equation modeling and item response theory, and more generally in developing new quantitative methods for Psychology and Marketing applications. Among other awards, he has received the American Psychological Association dissertation award (Division 5), the Catalan Young Investigator Award, and the Society of Multivariate Experimental Psychology Cattell's award. He is currently Section Editor of Psychometrika. Klappentext Every reader will come away with a greater understanding of the methodology being addressed as well as an understanding of the directions for future developments within each methodological area. Zusammenfassung Every reader will come away with a greater understanding of the methodology being addressed as well as an understanding of the directions for future developments within each methodological area. Inhaltsverzeichnis PART ONE: DESIGN AND INFERENCE Causal Inference in Randomized and Non-randomized Studies - Michael Sobel The Definition, Identification and Estimation of Causal Parameters Experimental Design - Roger Kirk Quasi-Experimental Design - Charles Reichardt Missing Data - Paul Allison PART TWO: MEASUREMENT THEORY Classical Test Theory - James Algina and Randall D Penfield Factor Analysis - Robert C MacCallum Item Response Theory - David Thissen and Lynne Steinberg Special Topics in Item Response Theory - Michael Edwards and Maria Orlando Edelen Latent Class Analysis - David Rindskopf PART THREE: SCALING Multidimensional Scaling - Yoshio Takane et al Correspondence Analysis, Multiple Correspondence Analysis and Recent Developments - Heungsun Hwang et al Modeling Preference Data - Albert Maydeu-Olivares and Ulf B[um]ockenholt PART FOUR: DATA ANALYSIS Applications of Multiple Regression in Psychological Research - Razia Azen and David Budescu Categorical Data Analysis with a Psychometric Twist - Carolyn Anderson Multilevel Analysis - Jee-Seon Kim An Overview and Some Contemporary Issues Resampling Methods - William H Beasley and Joseph L Rodgers Robust Data Analysis - Rand R Wilcox Meta-Analysis - Andy Field Bayesian Data Analysis - Herbert Hoijtink Cluster Analysis - Lawrence Hubert et al A Toolbox for MATLAB PART FIVE: STRUCTURAL EQUATION MODELS General SEM - Robert Cudeck Maximum Likelihood And Bayesian Estimation For Nonlinear Structural Equation Models - Melanie Wall Structural Equation Mixture Modeling - Conor Dolan Multilevel Latent Variable Modeling - David Kaplan et al Current Research and Recent Developments PART SIX: LONGITUDINAL MODELS Modeling Individual Change over Time - Suzanne Graham, Judy Singer and John Willett Time Series Models for Examining Psychological Processes - Emilio Ferrer and Guangjian Zhang Applications and New Developments Event History Analysis - Jeroen Vermunt PART SEVEN: SPECIALIZED METHODS Neuroimaging Ana...
