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Overview`I often... wonder to myself whether the field needs another book, handbook, or encyclopedia on this topic. In this case I think that the answer is truly yes. The handbook is well focused on important issues in the field, and the chapters are written by recognized authorities in their fields. The book should appeal to anyone who wants an understanding of important topics that frequently go uncovered in graduate education in psychology' - David C Howell, Professor Emeritus, University of Vermont 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. Drawing on a global scholarship, the Handbook is divided into seven parts: Part One: Design and Inference: addresses issues in the inference of causal relations from experimental and non-experimental research, along with the design of true experiments and quasi-experiments, and the problem of missing data due to various influences such as attrition or non-compliance. Part Two: Measurement Theory: begins with a chapter on classical test theory, followed by the common factor analysis model as a model for psychological measurement. The models for continuous latent variables in item-response theory are covered next, followed by a chapter on discrete latent variable models as represented in latent class analysis. Part Three: Scaling Methods: covers metric and non-metric scaling methods as developed in multidimensional scaling, followed by consideration of the scaling of discrete measures as found in dual scaling and correspondence analysis. Models for preference data such as those found in random utility theory are covered next. Part Four: Data Analysis: includes chapters on regression models, categorical data analysis, multilevel or hierarchical models, resampling methods, robust data analysis, meta-analysis, Bayesian data analysis, and cluster analysis. Part Five: Structural Equation Models: addresses topics in general structural equation modeling, nonlinear structural equation models, mixture models, and multilevel structural equation models. Part Six: Longitudinal Models: covers the analysis of longitudinal data via mixed modeling, time series analysis and event history analysis. Part Seven: Specialized Models: covers specific topics including the analysis of neuro-imaging data and functional data-analysis. Full Product DetailsAuthor: Roger E Millsap , Alberto Maydeu-OlivaresPublisher: SAGE Publications Inc Imprint: SAGE Publications Inc Dimensions: Width: 17.40cm , Height: 4.80cm , Length: 24.60cm Weight: 1.540kg ISBN: 9781412930918ISBN 10: 141293091 Pages: 800 Publication Date: 23 July 2009 Audience: Professional and scholarly , Professional & Vocational Format: Hardback Publisher's Status: Active Availability: To order  Stock availability from the supplier is unknown. We will order it for you and ship this item to you once it is received by us. Table of ContentsPART 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 MacCallumItem 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-Pallares et al ElectroencephalographyNeuroimaging Analysis (II) - Estela Camara et al Magnetic Resonance ImagingFunctional Data Analysis - James O RamsayReviewsAuthor InformationDr. 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. Tab Content 6Author Website:Countries AvailableAll regions |
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