行为研究纲要：方法与数据分析（英文 注释版）（第3版）
作者： [美] 罗伯特·罗森塔尔 著；拉尔夫·罗斯诺 著
出版社： 人民邮电出版社
出版时间： 2012-01
版次： 3
ISBN： 9787115269874
定价： 158.00
装帧： 平装
开本： 16开
纸张： 胶版纸
页数： 868页
字数： 950千字
正文语种： 简体中文
分类： 国学古籍>社会文化
内容简介:
这是一本经典的高级研究方法教材。两位作者分别用几十年的时间从事心理学教学和研究工作，其研究重心又集中在心理学研究方法和数据分析方面。他们在这方面进行了深入钻研和分析，并结出了丰硕的成果，共同合作出版了多本关于研究方法和数据分析的 著作。
《行为研究纲要：方法与数据分析（英文 注释版）（第3版）》这本 著作的前半部分着重于研究方法的论述，涉及基础概念和基本伦理、因变量的操作和测量以及研究设计的逻辑；后半部分着重于描述高级统计过程，包括四个部分：数据分析基础、单因素设计、因素设计以及数据分析的其他问题。附录中还包括书中用到的公式、常用统计图表、术语及参考文献。
《行为研究纲要：方法与数据分析（英文 注释版）（第3版）》是心理学、社会学、人类学、传播学、教育学、商学、统计学、市场营销学等多个学科领域的教师、学者和学生从事教学和研究工作所必备的一本工具书。
作者简介:
RobertRosenthalisDistinguishedProfessorattheUniversityofCaliforniaatRiversideandEdgarPierceProfessorofPsychology,Emeritus,HarvardUniversity.Hisresearchhascenteredforsome50yearsontheroleoftheself-fulfillingprophecyineverydaylifeandinlaboratorysituations.Specialinterestsincludetheeffectsofteachers’expectationsonstudents’performance,theeffectsofexperimenters’expectationsontheresultsoftheirresearch,andtheeffectsofclinicians’expectationsontheirpatients’mentalandphysicalhealth.Healsohasstronginterestsinsourcesofartifactinbehavioralresearchandinvariousquantitativeprocedures.Intherealmofdataanalysis,hisspecialinterestsareinexperimentaldesignandanalysis,contrastanalysis,andmeta-analysis.Hismostrecentbooksandarticlesareabouttheseareasofdataanalysisandaboutthenatureofnonverbalcommunicationinteacher-student,doctorpatient,manager-employee,judge-jury,andpsychotherapist-clientinteraction.HehasbeenCo-ChairoftheTaskForceonStatisticalInferenceoftheAmericanPsychologicalAssociationandhasservedasChairoftheResearchCommitteeoftheBayerInstituteforHealthCareCommunication.Hewasaco-recipientoftwobehavioralscienceawardsoftheAmericanAssociationfortheAdvancementofScience(1960,1993)andrecipientoftheJamesMcKeenCattellAwardoftheAmericanPsychologicalSociety,theDistinguishedScientistAwardoftheSocietyofExperimentalSocialPsychology,theSamuelJ.MessickDistinguishedScientificContributionsAwardoftheAPA’sDivision5—Evaluation,Measurement,andStatistics,andtheAPA’sDistinguishedScientificAwardforApplicationsofPsychology.
RalphL.RosnowisThaddeusBoltonProfessorEmeritusatTempleUniversity,wherehetaughtfor34yearsanddirectedthegraduateprograminsocialandorganizationalpsychology.HehasalsotaughtresearchmethodsatBostonUniversityandHarvardUniversityanddoesconsultingonresearchanddataanalysis.Theoverarchingthemeofhisscholarlyworkconcernshowpeoplemakesenseof,andimposemeaningon,theirexperientialworld,calledthe“willtomeaning”byViktorFrankl.Rosnowhasexploredaspectsofthisconstructinresearchandtheorywithintheframeworkofcontextualism,thepsychologyofrumorandgossip,attitudeandsocialcognition,thestructureofinterpersonalacumen,artifactsandethicaldilemmasinhumanresearch,andthestatisticaljustificationofscientificconclusions.Hehasauthoredandcoauthoredmanyarticlesandbooksonthesetopicsand,withMimiRosnow,coauthoredWritingPapersinPsychology,apopularwritingmanualnowinitsseventhedition(publishedbyThomsonWadsworth,2006).Hehasservedontheeditorialboardsofjournalsandencyclopedias,wascoeditor(withR.E.Lana)oftheReconstructionofSocietySeriespublishedbyOxfordUniversityPress,andchairedtheAPA’sCommitteeonStandardsinResearch.HeisafellowoftheAmericanAssociationfortheAdvancementofScience,theAPA,andtheAssociationforPsychologicalScience,receivedtheSocietyofGeneralPsychology’sGeorgeA.MillerAward,andwasrecentlyhonoredwithaFestschriftbookeditedbyD.A.Hantula,AdvancesinSocialandOrganizationalPsychology
RosenthalandRosnowhavealsocollaboratedonotherbooksonresearchmethodsanddataanalysis,includingArtifactinBehavioralResearch(AcademicPress,1969);TheVolunteerSubject(Wiley,1975);PrimerofMethodsfortheBehavioralSciences(Wiley,1975);UnderstandingBehavioralScience:ResearchMethodsforResearchConsumers(McGraw-Hill,1984);ContrastAnalysis:FocusedComparisonsintheAnalysisofVariance(CambridgeUniversityPress,1985);PeopleStudyingPeople:ArtifactsandEthicsinBehavioralResearch(W.H.Freeman,1997);(withD.B.Rubin)ContrastsandEffectSizesinBehavioralResearch:ACorrelationalApproach(CambridgeUniversityPress,2000);andBeginningBehavioralResearch:AConceptual
Primer(6thed.,Pearson/PrenticeHall,2008).
目录:
第一编概念与伦理基础
第1章行为研究的精神
第2章探索与辩护的环境
第3章伦理问题、道德两难问题与指导方针
第二编因变量的可操作化和可测量化
第4章测量信度和效度
第5章观察、判断和复合变量
第6章问卷法、访谈法和日志法
第三编研究设计的逻辑
第7章随机控制的实验和因果推论
第8章非随机化研究与函数关系
第9章随机与非随机抽取样本
第四编数据分析的基本原理
第10章描述、展示以及探究数据
第11章相关关系
第12章统计检验力与效应值
第五编单因素设计
第13章用t检验比较均值
第14章方差分析与F检验
第15章单因素对比分析
第六编因素设计
第16章多因素方差分析
第17章方差分析中的交互作用
第18章重复测量方差分析
第七编数据分析的补充问题
第19章显 著性检验和列联表分析
第20章多元数据分析
第21章元分析：研究结果的比较和综合
第八编附录
详细目录
PARTICONCEPTUALANDETHICALFOUNDATIONS
ChapterTheSpiritofBehavioralResearch
ScienceandtheSearchforKnowledge
WhatDoBehavioralResearchersReallyKnow?
SocialConstructionism
Contextualism/Perspectivism
EvolutionaryEpistemology
Peirce’sFourWaysofKnowing
Rhetoric,Perceptibility,andAesthetics
LimitationsoftheFourSupportsofConviction
BehavioralResearchDefined
ThreeBroadResearchOrientations
TheDescriptiveResearchOrientation
TheRelationalResearchOrientation
TheExperimentalResearchOrientation
EmpiricalPrinciplesasProbabilisticAssertions
OrientingHabitsofGoodScientificPractice
ChapterContextsofDiscoveryandJustification
InspirationandExplanation
TheoriesandHypotheses
SourcesofInspirationandInsight
SerendipityinBehavioralResearch
MoldingIdeasIntoWorkingHypotheses
Positivism,Falsificationism,andConventionalism
TypeIandTypeIIDecisionErrors
StatisticalSignificanceandtheEffectSize
TwoFamiliesofEffectSizes
IntervalEstimatesAroundEffectSizes
SummingUp
ChapterEthicalConsiderations,Dilemmas,andGuidelines
PuzzlesandProblems
ADelicateBalancingAct
HistoricalContextoftheAmericanPsychologicalAssociationCode
TheBelmontReport,FederalRegulations,andtheInstitutional
ReviewBoard
PrincipleI:RespectforPersonsandTheirAutonomy
PrincipleII:BeneficenceandNonmaleficence
PrincipleIII:Justice
PrincipleIV:Trust
PrincipleV:FidelityandScientificIntegrity
Costs,Utilities,andInstitutionalReviewBoards
ScientificandSocietalResponsibilities
PARTIIOPERATIONALIZATIONANDMEASUREMENTOFDEPENDENTVARIABLES
ChapterReliabilityandValidityofMeasurements
RandomandSystematicError
AssessingStabilityandEquivalence
Internal-ConsistencyReliabilityandSpearman-Brown
KR20andCronbach’sAlpha
EffectiveReliabilityofJudges
EffectiveCostofJudges
EffectiveCostofItems
InterraterAgreementandReliability
Cohen’sKappa
ReplicationinResearch
ValidityCriteriainAssessment
ConvergentandDiscriminantValidity
TestValidity,PracticalUtility,andtheTaylor-RussellTables
RelationshipofValiditytoReliability
ChapterObservations,Judgments,andCompositeVariables
Observing,Classifying,andEvaluating
ObservingWhileParticipating
MaximizingCredibilityandSerendipity
OrganizingandSense-MakinginEthnographicResearch
InterpreterandObserverBiases
UnobtrusiveObservationsandNonreactiveMeasurements
SelectingtheMostAppropriateJudges
ChoosingtheNumberofResponseAlternatives
EffectsofGuessingandOmissionsonAccuracy
IntrinsicFactorsandtheLevelofAccuracy
ApplicationsofCategoricalJudgments
CategoryScalesandRatingScales
Numerical,Graphic,andMagnitudeRatings
RatingBiasesandTheirControl
BipolarVersusUnipolarScales
FormingCompositeVariables
FormingMultipleComposites
QuantifyingtheClarityofComposites
ChapterQuestionnaires,Interviews,andDiaries
ConcernsAboutSelf-ReportData
Open-EndedVersusStructuredItems
CriticalIncidentTechnique
StagesinDevelopingInterviewProtocols
ResearchInterviewsbyTelephone
DevelopingResearchQuestionnaires
Defensiveness,Inconsistency,andYea-Saying
Cross-CulturalQuestionnaireandInterviewResearch
One-DimensionalandMultidimensionalAttitudeScales
SemanticDifferentialsforAttitudinalMeaning
Q-SortsforSubjectivityRatings
LikertMethodofItemAnalysis
ThurstoneEqual-AppearingIntervalsMethod
MemoryandtheUseofSelf-RecordedDiaries
PARTIIITHELOGICOFRESEARCHDESIGNS
ChapterRandomizedControlledExperimentsandCausalInference
ExperimentationinScience
RandomizedExperimentalDesigns
CharacteristicsofRandomization
ThePhilosophicalPuzzleofCausality
Contiguity,Priority,andConstantConjunction
FourTypesofExperimentalControl
Mill’sMethodsofAgreementandDifference
Between-GroupDesignsandMill’sJointMethod
Independent,Dependent,andModeratorVariables
Solomon’sExtendedControlGroupDesign
ThreatstoInternalValidity
ThreatstoExternalValidity
StatisticalConclusionandConstructValidity
SubjectandExperimenterArtifacts
DemandCharacteristicsandTheirControl
InteractionalExperimenterEffects
ExperimenterExpectancyEffectsand
TheirControl
ConcludingCommentary
ChapterNonrandomizedResearchandFunctionalRelationships
NonrandomizedandQuasi-ExperimentalStudies
NonequivalentGroupsandHistoricalControls
InterruptedTimeSeriesandtheAutoregressiveIntegratedMovingAverage
Single-CaseExperimentalDesigns
Cross-LaggedCorrelationalDesigns
InvisibleVariablesandtheMediationProblem
PathAnalysisandCausalInference
TheCohortinLongitudinalResearch
DifferentFormsofCohortStudies
SubclassificationonPropensityScores
MultipleConfoundingCovariates
ChapterRandomlyandNonrandomlySelectedSamplingUnits
SamplingaSmallPartoftheWhole
BiasandInstabilityinSurveys
SimpleRandom-SamplingPlans
ImprovingAccuracyinRandomSampling
ConfidenceIntervalsforPopulationEstimates
SpeakingofConfidenceIntervals
OtherSelectionProcedures
NonresponseBiasandItsControl
StudyingtheVolunteerSubject
CharacteristicsoftheVolunteerSubject
ImplicationsfortheInterpretationof
ResearchFindings
SituationalCorrelatesandtheReductionof
VolunteerBias
TheProblemofMissingData
ProceduresforDealingWithMissingData
PARTIVFUNDAMENTALSOFDATAANALYSIS
ChapterDescribing,Displaying,andExploringData
DescriptionsofSamplingUnits
FrequencyDiagramsandStem-and-LeafDisplays
BoxPlots
ComparingDistributionsBacktoBack
MeasuresofCentralTendency
MeasuresofSpread
TheNormalDistribution
StandardScores
DataNotDistributedNormally
PrecisionofEstimatingPopulationMeans
DefiningOutliers
CopingWithOutliers
ExploringtheData
ChapterCorrelation
Pearsonr
ProportionofVarianceInterpretationofCorrelation
BinomialEffect-SizeDisplay
ConfidenceIntervalsforEffect-SizeCorrelations
SmallCorrelations,ButImportantEffects
CounternullValuesofEffectSizes
SpearmanRankCorrelation
RanksasaTransformation
ObservationsofDisproportionateInfluence
Point-BiserialCorrelation
ExactTestsforRho
PhiCoefficient
Curvilinear(Quadratic)Correlation
FiveProduct-MomentCorrelations
ComparingCorrelations
ConsideringThirdVariables
EffectsofVariabilityonCorrelations
ChapterStatisticalPowerandEffectSizeRevisited
WhyAssessStatisticalPower?
TheNeglectofStatisticalPower
TherequivalentStatistic
Cohen’sMultipurposePowerTables
ThetTestforComparingTwoMeans
TheSignificanceofaProduct-Momentr
DifferencesBetweenCorrelationCoefficients
TheTestThataProportionis.50
TheDifferenceBetweenProportions
TheFocusedChi-SquareTest
FTestsforFocusedComparisons
AdditionalStrategiesforImprovingPower
PARTVONE-WAYDESIGNS
ChapterComparingMeansbyStandardtTests
GossetandthetTest
TwoComponentsoftTests
Maximizingt
EffectSizesandAdjustmentsforUnequalSampleSizes
InterpretingtheIndependentSamplet
ComputingtheIndependentSamplet
ReportingtheResults
tTestsforNonindependentSamples
EffectSizeandStudySizeComponentsofNonindependentSamplet
AssumptionsUnderlyingtTests
NonparametricProcedures
TheBootstrap,theJackknife,andPermutationTests
ChapterAnalysisofVarianceandtheFTest
TheFTestandthetTest
TheAnalysisof“Variances”
IllustrationofanOmnibusF
DividingUptheTotalVariance
ANOVASummaryTables
DistributionsofF
AftertheOmnibusF
ProtectingAgainst“TooManytTests”
BonferroniProcedures
BonferroniToleranceValue
ComparingTwoIndependentVariabilities
IllustrationUsingTransformations
ComparingTwoCorrelatedVariabilities
ComparingThreeorMoreIndependentVariabilities
ComparingThreeorMoreCorrelatedVariabilities
SummaryofProceduresforComparingVariabilities
ChapterOne-WayContrastAnalyses
FocusingOurQuestionsandStatisticalTests
ContrastFTestsonOriginalData
ContrasttTestsonOriginalDataCarvingContrastsOutofPublishedData
OrthogonalContrasts
NonorthogonalContrasts
EffectSizeIndicesforContrasts
TheBESDandtheBinomialEffect-SizeCorrelation
OverviewoftheFourEffect-SizeIndices
ComparingCompetingContrasts
CombiningCompetingContrasts
OptimalDesignandtheAllocationofSampleSizes
PARTVIFACTORIALDESIGNS
ChapterFactorialAnalysisofVariance
ConfrontingPersistentMisunderstandings
AnEconomyofDesign
EffectsandtheStructureofANOVA
IndividualDifferencesasError
TheTableofVariance
TestingtheGrandMeanbytandF
UnweightedMeansAnalysisforEqualorUnequalSampleSizes
EffectsonFofUnequalSampleSizes
UnequalSampleSizesandContrasts
TranscendingFactorialStructureUsingContrasts
HigherOrderFactorialDesigns
BlockingandtheIncreaseofPower
BlockingandtheAnalysisofCovariance
TransformingDatatoRemoveInteractions
ChapterInteractionEffectsinAnalysisofVariance
TheInterpretationofInteraction
CrossedandUncrossedCombinationsofGroupMeans
IllustrationofMeanPolishing
ConstructingTablesofPredictedMeans
StudyingInteractionsinTwo-WayTables
Three-WayFactorialDesigns
DefiningThree-WayInteractions
FurtherNotesonInterpretation
SimplifyingComplexTablesofResiduals
IllustrationofaFive-WayInteraction
ANoteonComplexity
ChapterRepeatedMeasuresinAnalysisofVariance
UseofRepeatedObservations
BasicComputations
FixedandRandomEffectsErrorTermsintheFourBasicCombinations
LatinSquaresandCounterbalancing
AnalysisofLatinSquares
SomeLatinSquaresMayBeBetterThanOthers
OtherCounterbalancingDesigns
ThreeorMoreFactors
TwoWithin-SubjectsFactors
AggregatingErrorTerms
ThreeWithin-SubjectsFactors
FixedorRandomFactors
DidRepeatedMeasuresHelp?
TheIntraclassrRevisited
CompositeVariablesandAdditionalAssumptions
ContrastsinRepeatedMeasures
HierarchicallyNestedDesigns
TheChoiceofErrorTerms
PARTVIIADDITIONALTOPICSINDATAANALYSIS
ChapterSignificanceTestingandAssociationinTablesofCounts
TableAnalysisandChi-Square
The-dfChi-SquareTest
LargerTablesofCounts
DistributionsofChi-Square
ProceduresforLargerContingencyTables
SubdividingTablestoTestSpecificHypotheses
FisherExactProbabilityTest
StrengtheningtheFisherExactTest
Adjustmentsforin_Tables
CompletePartitioningofLargerTables
TheCorner-CellsTestSubtable
ContrastsinProportions
AlternativeAnalysesforSmallerSampleStudies
StandardizingRowandColumnTotals
OddsRatio,RelativeRisk,RiskDifference,andPhi
One-SampleTablesofCounts
Multiple-Choice-TypeDataandtheProportionIndex
ChapterMultivariateDataAnalysis
Background
RedescribingRelationshipsWithinSetsofVariables
ClusterAnalysisforRedescription
PrincipalComponentsAnalysisforRedescription
ros31960_ImprovingInterpretationbyRotation
PsychometricApplicationsofPrincipalComponentsAnalysis
AlternativesfortheRedescriptionofVariables
MultidimensionalScalingIllustration
RelationshipsAmongSetsofVariables
ChapterMeta-Analysis:ComparingandCombiningResearchResults
StatisticalAnalysisofStatisticalAnalyses
CriticismsofMeta-Analysis
InterpretingTwoorMoreStudies
ComparingTwoSignificanceLevels
ComparingTwoEffect-SizeCorrelations
CombiningTwoSignificanceLevels
CombiningTwoEffect-SizeCorrelations
OverallComparisonsofThreeorMoreStudies
FocusedComparisonsofThreeorMoreStudies
CombiningThreeorMorepLevels
CombiningThreeorMoreEffect-SizeCorrelations
ResultsThatAreNotIndependent
TheFileDrawerProblem
AnEyetoVariability
PARTVIIIAPPENDIXES
AListofNumberedEquations
BStatisticalTables
Glossary
References
SubjectIndex
NameIndex
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