The SAGE Handbook of Quantitative Methods in Psychology / Edition 1 available in Hardcover
- Pub. Date:
- SAGE Publications
Quantitative Psychology is arguably one of the oldest disciplines within the field of psychology and nearly all psychologists are exposed to quantitative psychology in some form. While textbooks in statistics, research methods, and psychological measurement exist none offer a unified treatment of quantitative psychology. The SAGE Handbook of Quantitative Methods in Psychology does just that. Each chapter covers a methodological topic with equal attention paid to established theory and the challenges facing methodologists as they address new research questions using that particular methodology. The reader will come away from each chapter with a greater understanding of the methodology being addressed as well as an understanding of the directions for future developments within that methodological area.
|Edition description:||New Edition|
|Product dimensions:||7.10(w) x 9.80(h) x 2.00(d)|
About the Author
Dr. Maydeu-Olivares has been Assistant Professor of Statistics and Econometrics at the Universidad Carlos III, Professor of Marketing and Quantativative Methods at the IE Business School, and he is currently ICREA-Academia Distinguished Professor of Psychology at the University of Barcelona. Among other awards he has received the American Psychological Association (div 5) Dissertation Award, the Young Investigator (Cattell) Award from the Society of Multivariate Experimental Psychology, and the Catalan Young Investigator Award. He has published over 70 refereed articles and edited two volumes: Contemporary Psychometrics (2005) and Handbook of Quantitative Methods in Psychology (2009). He is currently President-Elect of the Psychometric Society.
Table of Contents
PART ONE: DESIGN AND INFERENCECausal Inference in Randomized and Non-randomized Studies - Michael Sobel The Definition, Identification and Estimation of Causal ParametersExperimental Design - Roger KirkQuasi-Experimental Design - Charles ReichardtMissing Data - Paul AllisonPART TWO: MEASUREMENT THEORYClassical Test Theory - James Algina and Randall D PenfieldFactor Analysis - Robert C Mac CallumItem Response Theory - David Thissen and Lynne SteinbergSpecial Topics in Item Response Theory - Michael Edwards and Maria Orlando EdelenLatent Class Analysis - David RindskopfPART THREE: SCALINGMultidimensional Scaling - Yoshio Takane et alCorrespondence Analysis, Multiple Correspondence Analysis and Recent Developments - Heungsun Hwang et alModeling Preference Data - Albert Maydeu-Olivares and Ulf B[um]ockenholtPART FOUR: DATA ANALYSISApplications of Multiple Regression in Psychological Research - Razia Azen and David BudescuCategorical Data Analysis with a Psychometric Twist - Carolyn AndersonMultilevel Analysis - Jee-Seon Kim An Overview and Some Contemporary IssuesResampling Methods - William H Beasley and Joseph L RodgersRobust Data Analysis - Rand R WilcoxMeta-Analysis - Andy FieldBayesian Data Analysis - Herbert HoijtinkCluster Analysis - Lawrence Hubert et al A Toolbox for MATLABPART FIVE: STRUCTURAL EQUATION MODELSGeneral SEM - Robert CudeckMaximum Likelihood And Bayesian Estimation For Nonlinear Structural Equation Models - Melanie WallStructural Equation Mixture Modeling - Conor DolanMultilevel Latent Variable Modeling - David Kaplan et al Current Research and Recent Developments PART SIX: LONGITUDINAL MODELSModeling Individual Change over Time - Suzanne Graham, Judy Singer and John WillettTime Series Models for Examining Psychological Processes - Emilio Ferrer and Guangjian Zhang Applications and New DevelopmentsEvent History Analysis - Jeroen VermuntPART SEVEN: SPECIALIZED METHODSNeuroimaging Analysis (I) - Josep Marco-Pallarés et al ElectroencephalographyNeuroimaging Analysis (II) - Estela Camara et al Magnetic Resonance ImagingFunctional Data Analysis - James O Ramsay