The Sage handbook of quantitative methods in psychology

801 Pages·2009·6.54 MB·English

by  Roger Ellis Millsap

Quantitative psychology is arguably one of the oldest disciplines within the field of psychology. Nearly all
psychologists are exposed to quantitative psychology in some form. While textbooks in statistics, research M
methods and psychological measurement exist, none offer a unified treatment of quantitative psychology.
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The SAGE Handbook of Quantitative Methods in Psychology does just that. Each chapter covers a methodological
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topic with equal attention paid to established theory and the challenges facing methodologists as they address d
new research questions using that particular methodology. The reader will come away from each chapter with eM
a greater understanding of the methodology being addressed as well as an understanding of the directions for u Quantitative Methods
future developments within that methodological area. -Oill
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Drawing on a global scholarship, the Handbook is divided into seven parts: liaE
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Part II: 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 III: 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. Q
Part IV: Data analysis: Includes chapters on regression models, categorical data analysis, multilevel or hierarchical u
models, resampling methods, robust data analysis, meta-analysis, Bayesian data analysis, and cluster analysis.
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Part V: Structural equation models: Addresses topics in general structural equation modeling, nonlinear n
structural equation models, mixture models, and multilevel structural equation models.
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Part VI: Longitudinal models: Covers the analysis of longitudinal data via mixed modelling, time series analysis, i T
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and event history analysis. a e
Part VII: Specialized methods: Covers specific topics including the analysis of neuro-imaging data, and functional int S
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This volume is an excellent reference and resource for advanced students, academics, and professionals studying s E
or using quantitative psychological methods in their research. y M H Edited by
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Roger E. Millsap is a Professor in the doctoral Alberto Maydeu-Olivares is Associate Professor ot db
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ISBN: 978-1-4129-3091-8
Cover image © iStock | Cover design by Wendy Scott 9 781412 930918
The SAGE Handbook of
Quantitative Methods
in Psychology
EditorialAdvisoryBoard
DavidBartholomew(Sudbury,UK)
PeterBentler(UniversityofCalifornia-LosAngeles,CA)
LindaCollins(ThePennsylvaniaStateUniversity,PA)
SusanEmbretson(GeorgiaInstituteofTechnology,GA)
WillemHeiser(LeidenUniversity,TheNetherlands)
LawrenceJ.Hubert(UniversityofIllinois,IL)
KarlGJoreskog(UppsalaUniversity,Sweden)
YutakaKano(OsakaUniversity,Japan)
IvoMolenaar(GroningenUniversity,TheNetherlands)
JohnR.Nesselroade(UniversityofVirginia,VA)
AlbertSatorra(UniversitatPompeuFabra,Spain)
KlaasSijtsma(TilburgUniversity,TheNetherlands)
YoshioTakane(McGillUniversity,Canada)
StephenG.West(ArizonaStateUniversity,AZ)
The SAGE Handbook of
Quantitative Methods
in Psychology

Edited by
Roger E. Millsap
and Alberto Maydeu-Olivares
Prefaceandeditorialarrangement©RogerE.MillsapandAlberto Chapter16©WilliamH.BeasleyandJosephL.Rodgers2009
Maydeu-Olivares2009 Chapter17©RandR.Wilcox2009
Chapter1©MichaelSobel2009 Chapter18©AndyP.Field2009
Chapter2©RogerKirk2009 Chapter19©HerbertHoijtink2009
Chapter3©CharlesReichardt2009 Chapter20©LawrenceJ.Hubert,Hans-FriedrichKöhn,and
Chapter4©PaulD.Allison2009 DouglasL.Steinley2009
Chapter5©JamesAlginaandRandallD.Penfield2009 Chapter21©RobertCudeckandStephenduToit2009
Chapter6©RobertC.MacCallum2009 Chapter22©MelanieM.Wall2009
Chapter7©DavidThissenandLynneSteinberg2009 Chapter23©ConorDolan2009
Chapter8©MichaelEdwardsandMariaOrlandoEdelen2009 Chapter24©DavidKaplan,Jee-SeonKim,andSu-YoungKim2009
Chapter9©DavidRindskopf2009 Chapter25©SuzanneE.Graham,JudithD.Singer,andJohnB.Willett2009
Chapter10©YoshioTakane,SunhoJung,andYurikoOshima-Takane Chapter26©EmilioFerrerandGuangjianZhang2009
2009 Chapter27©JeroenK.Vermunt2009
Chapter11©HeungsunHwang,MarcA.Tomiuk,andYoshioTakane2009 Chapter28©JosepMarco-Pallarés,EstelaCamara,ThomasF.Münte,and
Chapter12©AlbertoMaydeu-OlivaresandUlfBöckenholt2009 AntoniRodríguez-Fornells2009
Chapter13©RaziaAzenandDavidBudescu2009 Chapter29©EstelaCamara,JosepMarco-Pallarés,ThomasF.Münte,and
Chapter14©CarolynJ.Anderson2009 AntoniRodríguez-Fornells2009
Chapter15©Jee-SeonKim2009 Chapter30©JamesO.Ramsay2009
Firstpublished2009
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Dedication
ToSofi,AlbaandAlberto,withlove,forallthehoursIhavebeenaway.
Alberto
With love to Michele and our children, Mason, Laura, Simone, andAiden. It is finally done.
Thanksforbeingthereforme.
Roger

Contents
Preface x
NotesonContributors xvi
PART I DESIGNANDINFERENCE 1
1 CausalInferenceinRandomizedandNon-RandomizedStudies:TheDefinition,
Identification,andEstimationofCausalParameters 3
MichaelE.Sobel
2 ExperimentalDesign 23
RogerE.Kirk
3 Quasi-ExperimentalDesign 46
CharlesS.Reichardt
4 MissingData 72
PaulD.Allison
PART II MEASUREMENTTHEORY 91
5 ClassicalTestTheory 93
JamesAlginaandRandallD.Penfield
6 FactorAnalysis 123
RobertC.MacCallum
7 ItemResponseTheory 148
DavidThissenandLynneSteinberg
8 SpecialTopicsinItemResponseTheory 178
MichaelC.EdwardsandMariaOrlandoEdelen
9 LatentClassAnalysis 199
DavidRindskopf
viii THESAGEHANDBOOKOFQUANTITATIVEMETHODSINPSYCHOLOGY
PART III SCALING 217
10 MultidimensionalScaling 219
YoshioTakane,SunhoJung,andYurikoOshima-Takane
11 CorrespondenceAnalysis,MultipleCorrespondenceAnalysis,and
RecentDevelopments 243
HeungsunHwang,MarcA.Tomiuk,andYoshioTakane
12 ModelingPreferenceData 264
AlbertoMaydeu-OlivaresandUlfBöckenholt
PART IV DATAANALYSIS 283
13 ApplicationsofMultipleRegressioninPsychologicalResearch 285
RaziaAzenandDavidBudescu
14 CategoricalDataAnalysiswithaPsychometricTwist 311
CarolynJ.Anderson
15 MultilevelAnalysis:AnOverviewandSomeContemporaryIssues 337
Jee-SeonKim
16 ResamplingMethods 362
WilliamH.BeasleyandJosephL.Rodgers
17 RobustDataAnalysis 387

RandR.Wilcox
18 Meta-Analysis 404
AndyP.Field
19 BayesianDataAnalysis 423
HerbertHoijtink
20 ClusterAnalysis:AToolboxforMATLAB 444
LawrenceJ.Hubert,Hans-FriedrichKöhn,andDouglasL.Steinley
PART V STRUCTURALEQUATIONMODELS 513
21 GeneralStructuralEquationModels 515
RobertCudeckandStephenH.C.duToit
22 MaximumLikelihoodandBayesianEstimationforNonlinearStructural
EquationModels 540
MelanieM.Wall
23 StructuralEquationMixtureModeling 568
ConorV.Dolan
CONTENTS ix
24 MultilevelLatentVariableModeling:CurrentResearchandRecent
Developments 592
DavidKaplan,Jee-SeonKim,andSu-YoungKim
PART VI LONGITUDINALMODELS 613
25 ModelingIndividualChangeoverTime 615
SuzanneE.Graham,JudithD.Singer,andJohnB.Willett
26 TimeSeriesModelsforExaminingPsychologicalProcesses:Applications
andNewDevelopments 637
EmilioFerrerandGuangjianZhang
27 EventHistoryAnalysis 658
JeroenK.Vermunt
PART VII SPECIALIZEDMETHODS 675
28 NeuroimagingAnalysisI:Electroencephalography 677
JosepMarco-Pallarés,EstelaCamara,ThomasF.Münte,andAntoni
Rodríguez-Fornells
29 NeuroimagingAnalysisII:MagneticResonanceImaging 697
EstelaCamara,JosepMarco-Pallarés,ThomasF.Münte,andAntoni
Rodríguez-Fornells
30 FunctionalDataAnalysis 716
JamesO.Ramsay
ColorPlates
Index 739