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.
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.Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
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 Analysis (I) - Josep Marco-Pallarés et al Electroencephalography Neuroimaging Analysis (II) - Estela Camara et al Magnetic Resonance Imaging Functional Data Analysis - James O Ramsay
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 Analysis (I) - Josep Marco-Pallarés et al Electroencephalography Neuroimaging Analysis (II) - Estela Camara et al Magnetic Resonance Imaging Functional Data Analysis - James O Ramsay
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