The SAGE Handbook of Quantitative Methods in Psychology
Herausgeber: Millsap, Roger E; Maydeu-Olivares, Alberto
The SAGE Handbook of Quantitative Methods in Psychology
Herausgeber: Millsap, Roger E; Maydeu-Olivares, Alberto
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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.
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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.
Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Produktdetails
- Produktdetails
- Verlag: SAGE Publications Ltd
- Artikelnr. des Verlages: B3091XC
- Seitenzahl: 794
- Erscheinungstermin: 23. Juli 2009
- Englisch
- Abmessung: 250mm x 175mm x 47mm
- Gewicht: 1523g
- ISBN-13: 9781412930918
- ISBN-10: 141293091X
- Artikelnr.: 25434164
- Herstellerkennzeichnung
- Produktsicherheitsverantwortliche/r
- Europaallee 1
- 36244 Bad Hersfeld
- gpsr@libri.de
- Verlag: SAGE Publications Ltd
- Artikelnr. des Verlages: B3091XC
- Seitenzahl: 794
- Erscheinungstermin: 23. Juli 2009
- Englisch
- Abmessung: 250mm x 175mm x 47mm
- Gewicht: 1523g
- ISBN-13: 9781412930918
- ISBN-10: 141293091X
- Artikelnr.: 25434164
- Herstellerkennzeichnung
- Produktsicherheitsverantwortliche/r
- Europaallee 1
- 36244 Bad Hersfeld
- gpsr@libri.de
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.
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
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
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