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Quantitative Methods for the Social Sciences: A Practical Introduction with Examples in SPSS and Stata PDF

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Daniel Stockemer Quantitative Methods for the Social Sciences A Practical Introduction with Examples in SPSS and Stata Quantitative Methods for the Social Sciences Daniel Stockemer Quantitative Methods for the Social Sciences A Practical Introduction with Examples in SPSS and Stata DanielStockemer UniversityofOttawa SchoolofPoliticalStudies Ottawa,Ontario,Canada ISBN978-3-319-99117-7 ISBN978-3-319-99118-4 (eBook) https://doi.org/10.1007/978-3-319-99118-4 LibraryofCongressControlNumber:2018957702 #SpringerInternationalPublishingAG2019 Thisworkissubjecttocopyright.AllrightsarereservedbythePublisher,whetherthewholeorpartofthe materialisconcerned,specificallytherightsoftranslation,reprinting,reuseofillustrations,recitation, broadcasting,reproductiononmicrofilmsorinanyotherphysicalway,andtransmissionorinformation storageandretrieval,electronicadaptation,computersoftware,orbysimilarordissimilarmethodology nowknownorhereafterdeveloped. Theuseofgeneraldescriptivenames,registerednames,trademarks,servicemarks,etc.inthispublication doesnotimply,evenintheabsenceofaspecificstatement,thatsuchnamesareexemptfromtherelevant protectivelawsandregulationsandthereforefreeforgeneraluse. The publisher, the authors and the editors are safe to assume that the advice and information in this bookarebelievedtobetrueandaccurateatthedateofpublication.Neitherthepublishernortheauthorsor theeditorsgiveawarranty,expressorimplied,withrespecttothematerialcontainedhereinorforany errorsoromissionsthatmayhavebeenmade.Thepublisherremainsneutralwithregardtojurisdictional claimsinpublishedmapsandinstitutionalaffiliations. ThisSpringerimprintispublishedbytheregisteredcompanySpringerNatureSwitzerlandAG Theregisteredcompanyaddressis:Gewerbestrasse11,6330Cham,Switzerland Contents 1 Introduction. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1 2 TheNutsandBoltsofEmpiricalSocialScience. . . . . . . . . . . . . . . . 5 2.1 WhatIsEmpiricalResearchintheSocialSciences?. . . . . . . . . 5 2.2 QualitativeandQuantitativeResearch. . . . . . . . . . . . . . . . . . . 8 2.3 Theories,Concepts,Variables,andHypothesis. . . . . . . . . . . . . 10 2.3.1 Theories. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 10 2.3.2 Concepts. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 12 2.3.3 Variables. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13 2.3.4 Hypotheses. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 16 2.4 TheQuantitativeResearchProcess. . . . . . . . . . . . . . . . . . . . . . 18 References. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 20 3 AShortIntroductiontoSurveyResearch. . . . . . . . . . . . . . . . . . . . 23 3.1 WhatIsSurveyResearch?. . . . . . . . . . . . . . . . . . . . . . . . . . . . 23 3.2 AShortHistoryofSurveyResearch. . . . . . . . . . . . . . . . . . . . . 24 3.3 TheImportanceofSurveyResearchintheSocialSciences andBeyond. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 26 3.4 OverviewofSomeoftheMostWidelyUsedSurveys intheSocialSciences. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 27 3.4.1 TheComparativeStudyofElectoralSystems(CSES). . . 28 3.4.2 TheWorldValuesSurvey(WVS). . . . . . . . . . . . . . . . 29 3.4.3 TheEuropeanSocialSurvey(ESS). . . . . . . . . . . . . . . 30 3.5 DifferentTypesofSurveys. . . . . . . . . . . . . . . . . . . . . . . . . . . 30 3.5.1 Cross-sectionalSurvey. . . . . . . . . . . . . . . . . . . . . . . . 31 3.5.2 LongitudinalSurvey. . . . . . . . . . . . . . . . . . . . . . . . . . 32 References. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 34 4 ConstructingaSurvey. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 37 4.1 QuestionDesign. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 37 4.2 OrderingofQuestions. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 38 4.3 NumberofQuestions. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 38 4.4 GettingtheQuestionsRight. . . . . . . . . . . . . . . . . . . . . . . . . . . 38 4.4.1 VagueQuestions. . . . . . . . . . . . . . . . . . . . . . . . . . . . 39 4.4.2 BiasedorValue-LadenQuestions. . . . . . . . . . . . . . . . 39 v vi Contents 4.4.3 ThreateningQuestions. . . . . . . . . . . . . . . . . . . . . . . . 39 4.4.4 ComplexQuestions. . . . . . . . . . . . . . . . . . . . . . . . . . 40 4.4.5 NegativeQuestions. . . . . . . . . . . . . . . . . . . . . . . . . . 40 4.4.6 PointlessQuestions. . . . . . . . . . . . . . . . . . . . . . . . . . 40 4.5 SocialDesirability. . . . . . . . . . . . . . . . . . . . . . . . . .. . . . . . . . 41 4.6 Open-EndedandClosed-EndedQuestions. . . . . . . . . . . . . . . . 42 4.7 TypesofClosed-EndedSurveyQuestions. . .. . . . . . . . . . . .. . 44 4.7.1 Scales. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 44 4.7.2 DichotomousSurveyQuestions. . . . . . . . . . . . . . . . . . 47 4.7.3 Multiple-ChoiceQuestions. . . . . . . . . . . . . . . . . . . . . 47 4.7.4 NumericalContinuousQuestions. . .. . . .. . . . .. . . .. 48 4.7.5 CategoricalSurveyQuestions. . . . . . . . . . . . . . . . . . . 48 4.7.6 Rank-OrderQuestions. . . . . . . . . . . . . . . . . . . . . . . . 49 4.7.7 MatrixTableQuestions. . . . . . . . . . . . . . . . . . . . . . . 49 4.8 DifferentVariables. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 50 4.9 CodingofDifferentVariablesinaDataset. . . . . . . . . . . . . . . . 51 4.9.1 CodingofNominalVariables. . . . . . . . . . . . . . . . . . . 51 4.10 DraftingaQuestionnaire:GeneralInformation. . . . . . . . . . . . . 52 4.10.1 DraftingaQuestionnaire:AStep-by-StepApproach. . . 53 4.11 BackgroundInformationAbouttheQuestionnaire. . . . . . . . . . . 54 References. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 55 5 ConductingaSurvey. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 57 5.1 PopulationandSample. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 57 5.2 Representative,Random,andBiasedSamples. . . . . . . . . . . . . . 58 5.3 SamplingError. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 62 5.4 Non-randomSamplingTechniques. . . . . . . . . . . . . . . . . . . . . . 62 5.5 DifferentTypesofSurveys. . . . . . . . . . . . . . . . . . . . . . . . . . . 64 5.6 WhichTypeofSurveyShouldResearchersUse?. . . . . . . . . . . 67 5.7 Pre-tests. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 67 5.7.1 WhatIsaPre-test?. . . . . . . . . . . . . . . . . . . . . . . . . . . 67 5.7.2 HowtoConductaPre-test?.. . . . . . . . .. . . . . . . . . .. 69 References. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 69 6 UnivariateStatistics. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 73 6.1 SPSSandStata. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 73 6.2 PuttingDataintoanSPSSSpreadsheet. . . . . . . . . . . . . . . . . . . 73 6.3 PuttingDataintoaStataSpreadsheet. . . . . . . . . . . . . . . . . . . . 75 6.4 FrequencyTables. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 76 6.4.1 ConstructingaFrequencyTableinSPSS. . . . . . . . . . . 77 6.4.2 ConstructingaFrequencyTableinStata. . . . . . . . . . . 78 6.5 TheMeasuresofCentralTendency:Mean,Median,Mode, andRange. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 79 6.6 DisplayingDataGraphically:PieCharts,Boxplots,and Histograms. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 80 Contents vii 6.6.1 PieCharts. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 80 6.6.2 DoingaPieChartinSPSS. . . . . . . . . . . . . . . . . . . . . 82 6.6.3 DoingaPieChartinStata. . . . . . .. . . . . . . . . . . . . .. 83 6.7 Boxplots. . .. . . . .. . . .. . . . .. . . .. . . . .. . . .. . . . .. . . .. . 84 6.7.1 DoingaBoxplotinSPSS. . . . . . . . . . . . . . . . . . . . . . 86 6.7.2 DoingaBoxplotinStata. .. . . .. . . .. . . .. . . .. . . .. 86 6.8 Histograms. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 87 6.8.1 DoingaHistograminSPSS. . . . . . . . . . . . . . . . . . . . 88 6.8.2 DoingaHistograminStata. . . . . . . . . . . . . . . . . . . . . 90 6.9 Deviation,Variance,StandardDeviation,StandardError, SamplingError,andConfidenceInterval. . . . . . . . . . . . . . . . . 91 6.9.1 CalculatingtheConfidenceIntervalinSPSS. . . . . . . . 95 6.9.2 CalculatingtheConfidenceIntervalinStata. . . . . . . . . 96 FurtherReading. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 98 7 BivariateStatisticswithCategoricalVariables. . . . . . . . . . . . . . . . 101 7.1 IndependentSamplet-Test. .. . . . . . . .. . . . . . . .. . . . . . . .. . 101 7.1.1 DoinganIndependentSamplest-TestinSPSS. . . . . . . 104 7.1.2 InterpretinganIndependentSamplest-Test SPSSOutput. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 106 7.1.3 ReadinganSPSSIndependentSamplest-TestOutput ColumnbyColumn. . . . . . . . . . . . . . . . . . . . . . . . . . 107 7.1.4 DoinganIndependentSamplest-TestinStata. . . . . . . 108 7.1.5 InterpretinganIndependentSamplest-TestStata Output. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 109 7.1.6 ReportingtheResultsofanIndependent Samplest-Test. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 111 7.2 F-TestorOne-WayANOVA. . . . . . . . . . . . . . . . . . . . . . . . . . 111 7.2.1 Doinganf-TestinSPSS. . . . . . . . . . . . . . . . . . . . . . . 113 7.2.2 InterpretinganSPSSANOVAOutput. . . . . . . . . . . . . 115 7.2.3 DoingaPosthocorMultipleComparisonTest inSPSS. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 116 7.2.4 Doinganf-TestinStata. . . . . . . . . . . . . . . . . . . . . . . 119 7.2.5 Interpretinganf-TestinStata. . . . . . . . . . . . . . . . . . . 120 7.2.6 DoingaPosthocorMultipleComparisonTest withUnequalVarianceinStata. . . . . . . . . . . . . . . . . . 121 7.2.7 ReportingtheResultsofanf-Test. . . . . . . . . . . . . . . . 124 7.3 Cross-tabulationTableandChi-SquareTest. . . . . . . . . . . . . . . 125 7.3.1 Cross-tabulationTable. . . . . . . . . . . . . . . . . . . . . . . . 125 7.3.2 Chi-SquareTest. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 126 7.3.3 DoingaChi-SquareTestinSPSS. . . . . . . . . . . . . . . . 127 7.3.4 InterpretinganSPSSChi-SquareTest. . . . . . . . . . . . . 128 7.3.5 DoingaChi-SquareTestinStata. . . . . . . . . . . . . . .. . 130 7.3.6 ReportingaChi-SquareTestResult. . . . . . . . . . . . . . . 131 Reference. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 131 viii Contents 8 BivariateRelationshipsFeaturingTwoContinuousVariables. . . . . 133 8.1 WhatIsaBivariateRelationshipBetweenTwoContinuous Variables?. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 133 8.1.1 PositiveandNegativeRelationships. . . . . . . . . . . . . . 133 8.2 Scatterplots. . . . . . . . . . . . . . .. . . . . . . . . . . . . . . . . . . . . .. . 134 8.2.1 PositiveRelationshipsDisplayedinaScatterplot. . . . . 134 8.2.2 NegativeRelationshipsDisplayedinaScatterplot. . . . . 134 8.2.3 NoRelationshipDisplayedinaScatterplot. . . . . . .. . . 135 8.3 DrawingtheLineinaScatterplot. . . . . . . . . . . . . . . . . . . . . . . 136 8.4 DoingScatterplotsinSPSS. . . . . . . . . . . . . . . . . . . . . . . . . . . 136 8.5 DoingScatterplotsinStata. . . . . . . . .. . . . . . . .. . . . . . . . .. . 139 8.6 CorrelationAnalysis. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 142 8.6.1 DoingaCorrelationAnalysisinSPSS. . . . . . . . . . . . . 144 8.6.2 InterpretinganSPSSCorrelationOutput. . . . . . . . . . . 145 8.6.3 DoingaCorrelationAnalysisinStata. . . . . . . . . . . . . 147 8.7 BivariateRegressionAnalysis. . . . . . . . . . . . . . . . . . . . . . . . . 148 8.7.1 GaugingtheSteepnessofaRegressionLine. . . . . . . . 148 8.7.2 GaugingtheErrorTerm. . . . . . . . . . . . . . . . . . . . . . . 150 8.8 DoingaBivariateRegressionAnalysisinSPSS. . . . . . . . . . . . 152 8.9 InterpretinganSPSS(Bivariate)RegressionOutput. . . . . . . .. . 153 8.9.1 TheModelSummaryTable. . .. . . . . . . .. . . . . . . .. . 153 8.9.2 TheRegressionANOVATable. . . . . . . . . . . . . . . . . . 154 8.9.3 TheRegressionCoefficientTable. . . . . . . . . . . . . . . . 155 8.10 Doinga(Bivariate)RegressionAnalysisinStata. . . . . . . . . . . . 156 8.10.1 InterpretingaStata(Bivariate)RegressionOutput. . . . 157 8.10.2 ReportingandInterpretingtheResultsofaBivariate RegressionModel. . . . . . . . . . . . . . . . . . . . . . . . . . . 160 FurtherReading. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 161 9 MultivariateRegressionAnalysis. . . . . . . . . . . . . . . . . . . . . . . . . . 163 9.1 TheLogicBehindMultivariateRegressionAnalysis. . . . . . . . . 163 9.2 TheFunctionalFormsofIndependentVariablestoInclude inaMultivariateRegressionModel. . . . . . . . . . . . . . . . . . . . . 165 9.3 InterpretationHelpforaMultivariateRegressionModel. . . . . . 166 9.4 DoingaMultipleRegressionModelinSPSS. . . . . . . . . . . . . . 166 9.5 InterpretingaMultipleRegressionModelinSPSS. . . . . . . . . . 166 9.6 DoingaMultipleRegressionModelinStata. . . . . . . . . . . . . . . 168 9.7 InterpretingaMultipleRegressionModelinStata. . . . . . . . . . . 168 9.8 ReportingtheResultsofaMultipleRegressionAnalysis. . . . . . 170 9.9 FindingtheBestModel. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 170 9.10 AssumptionsoftheClassicalLinearRegressionModelor OrdinaryLeastSquareRegressionModel(OLS). . . . . . . . . . . . 171 Reference. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 174 Contents ix Appendix1:TheDataoftheSampleQuestionnaire. . . . . . . . . . . . . . . . 175 Appendix2:PossibleGroupAssignmentsThatGowithThisCourse. . . 177 Index. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 179 1 Introduction Under what conditions do countries go to war? What is the influence of the 2008–2009economiccrisisonthevoteshareofradicalright-wingpartiesinWestern Europe? What type of people are the most likely to protest and partake in demonstrations? How has the urban squatters’ movement developed in South Africa after apartheid? There is hardly any field in the social sciences that asksasmanyresearchquestionsaspoliticalscience.Questionsscholarsareinterested in can be specific and reduced to one event (e.g., the development of the urban squatter’smovementinSouthAfricapost-apartheid)orgeneralandsystemicsuchas the occurrence of war and peace. Whether general or specific, what all empirical researchquestionshaveincommonisthenecessitytouseadequateresearchmethods toanswerthem.Forexample,toeffectivelyevaluatetheinfluenceoftheeconomic downturnin2008–2009ontheradicalright-wingsuccessintheelectionspreceding the crisis, we need data on the radical right-wing vote before and after the crisis, a clearlydefinedoperationalizationofthecrisisanddataonconfoundingfactorssuch as immigration, crime, and corruption. Through appropriate modeling techniques (i.e., multiple regression analysis on macro-level data), we can then assess the absoluteandrelativeinfluenceoftheeconomiccrisisontheradicalright-wingvote share. Researchmethodsarethe“breadandbutter”ofempiricalpoliticalscience.They are the tools that allow researchers to conduct research and detect empirical regularities, causal chains, and explanations of political and social phenomena. To use a practical analogy, a political scientist needs to have a toolkit of research methodsathisorherdisposaltobuildgoodempiricalresearch inthesamewayas amasonmusthavecertaintoolstobuildahouse.Itisindispensableforamasonto not only have some rather simple tools (e.g., a hammer) but also some more sophisticatedtoolssuchasamixerorcrane.Thesameappliesforapoliticalscientist. Ideally,heorsheshouldhavesomeeasytools(suchasdescriptivestatisticsormeans testing)athisorherdisposalbutalsosomemorecomplextoolssuchaspooledtime series analysis or maximum likelihood estimation. Having these tools allows #SpringerInternationalPublishingAG2019 1 D.Stockemer,QuantitativeMethodsfortheSocialSciences, https://doi.org/10.1007/978-3-319-99118-4_1

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