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Principles and Methods of Social Research

TaschenbuchKartoniert, Paperback
486 Seiten
Englisch
Taylor & Franciserschienen am11.07.20234. Aufl.
Through a multi-methodology approach, this volume covers the latest research techniques and designs and guides readers toward the design and conduct of social research from the ground up. Applauded for its comprehensive coverage, the breadth and depth of content of this new edition is unparalleled.mehr
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Produkt

KlappentextThrough a multi-methodology approach, this volume covers the latest research techniques and designs and guides readers toward the design and conduct of social research from the ground up. Applauded for its comprehensive coverage, the breadth and depth of content of this new edition is unparalleled.
Details
ISBN/GTIN978-1-032-22240-0
ProduktartTaschenbuch
EinbandartKartoniert, Paperback
Erscheinungsjahr2023
Erscheinungsdatum11.07.2023
Auflage4. Aufl.
Seiten486 Seiten
SpracheEnglisch
Gewicht908 g
Illustrationen70 SW-Abb., 70 SW-Zeichn., 36 Tabellen
Artikel-Nr.60312901
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Inhalt/Kritik

Inhaltsverzeichnis
Acknowledgements and DedicationPrefacePart IIntroduction to Social Research MethodsChapter 1. Basic ConceptsScience and Daily LifeFrom Theory, Concept, or Idea to OperationRole of Theory in Scientific InquiryConclusion and OverviewReferencesChapter 2. Internal and External ValidityCausationDistinguishing Internal and External ValidityBasic Issues of Internal ValidityBasic Issues of External ValidityConclusionReferencesChapter 3. Measurement ReliabilityClassical Measurement TheoryContemporary Measurement TheoryConclusionReferencesChapter 4. Measurement ValidityTypes of Measurement ValidityThe Multitrait-Multimethod MatrixThreats to Measurement ValidityConclusionReferencesPart II. Research Design Strategies: Experiments, Quasi-Experiments, and NonexperimentsChapter 5. Designing Experiments: Variations on the BasicsBasic Variations in Experimental DesignExpanding the Number of Experimental TreatmentsBlock Designs: Incorporating a Nonexperimental FactorRepeated Measure Designs and CounterbalancingConclusionReferencesChapter 6. Constructing Laboratory ExperimentsSteps for Constructing an ExperimentTypes of Experimental ManipulationsManipulation and Attention ChecksAssignment of Participants to Conditions: Randomization ProceduresRealism and Engagement in an ExperimentRole-Playing Simulations and Analogue ExperimentsConclusionReferencesChapter 7. External Validity of Laboratory ExperimentsGeneralizability Across ParticipantsExperimenter Expectancy and BiasThree Faces of External ValidityConclusionReferencesChapter 8. Conducting Experiments Outside the LaboratoryResearch Settings and Issues of ValidityConstructing a Field ExperimentThe Internet as a Site for Experimental ResearchConclusionReferencesChapter 9. Quasi-Experiments and Applied ResearchQuasi-experimental Methods in Applied ContextsQuasi-experimental DesignsThe Use of Archival Data in Longitudinal ResearchConclusionReferencesChapter 10. Nonexperimental Research: Correlational DesignBivariate Correlation and RegressionMultiple RegressionUsing Regression to Test MediationUses and Misuses of Correlational AnalysisConclusionReferencesChapter 11. Advanced Multivariate Correlational DesignMultilevel ModelsStructural Equation ModelsModeling Longitudinal DataConclusionReferencesPart IIIData Collecting MethodsChapter 12. Survey Studies: Design and SamplingSelection vs. AssignmentCensus and Survey BasicsRandom SamplingNonrandom SamplingOther Sampling IssuesTypes of Survey StudiesMissing DataConclusionReferencesChapter 13. Systematic Observational MethodsThree Aspects of NaturalismObserver Involvement in the Naturalistic SettingCoding ObservationsConclusionReferencesChapter 14. Content AnalysisContent Analysis BasicsConducting a Content AnalysisSummary of the General ParadigmRepresentative ExamplesConclusionReferencesChapter 15. InterviewingModes of AdministrationDeveloping the InterviewConducting the InterviewGroup Interviews and Focus GroupsConclusionReferencesChapter 16. Construction of Questionnaires and Rating ScalesQuestionnairesConstructing Rating ScalesConclusionReferencesChapter 17. Scaling Stimuli: Social PsychophysicsScaling StimuliStimulus Scaling TechniquesMultidimensional Scaling ModelsConclusionReferencesChapter 18. Indirect and Implicit Measures of Cognition and AffectIndirect MeasuresInformation Processing: Attention and MemoryPriming: Processing Without Awareness or IntentSocial PsychophysiologyConclusionReferencesChapter 19. Methods for Assessing Dyads and GroupsDyadic DesignsDesigns to Study Group StructuresDesigns to Study Multiple GroupsMeasuring Group Process and OutcomesConclusionReferencesPart IVConcluding PerspectivesChapter 20. Synthesizing Research Results: Meta-AnalysisReplicability of FindingsMeta-AnalysisStages in the Meta-Analysis ProcessInterpreting the Meta-AnalysisConclusionReferencesChapter 21. Social Responsibility and Ethics in Social ResearchEthics of Research PracticesThe Regulatory Context of Research Involving Human ParticipantsEthics of Data ReportingEthical Issues Related to the Products of Scientific ResearchConclusionReferencesGlossarymehr

Autor

William D. Crano is the Oskamp Distinguished Chair of Psychology and Director of the Health Psychology and Prevention Science Institute at Claremont Graduate University.

Marilynn B. Brewer is Professor Emeritus, Ohio State University.

Andrew Lac is an Associate Professor of Psychology at the University of Colorado Colorado Springs.