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1、TwoMultilevelModelingTechniquesforAnalyzingComparativeLongitudinalSurveyDatasetsMalcolmFairbrotherSchoolofGeographicalSciencesUniversityofBristolUniversityRoadBristolBS81SSUnitedKingdomm.fairbrother@bristol.ac.uk+44117928830330March2013Abstract:Increasingnumb
2、ersofcomparativesurveydatasetsspanmultiplewaves.Movingbeyondpurelycross-sectionalanalyses,multilevellongitudinalanalysesofsuchdatasetsshouldgeneratesubstantivelyimportantinsightsintothepolitical,social,andeconomiccorrelatesofmanyindividual-leveloutcomesofinte
3、rest(attitudes,behaviors,etc.).Thispaperdescribestwosimpletechniquesforextractingsuchinsights,whichallowchangeovertimeinytobeafunctionofchangeovertimeinx,and/orofatime-invariantx.Thepaperpresentsresultsfromsimulationstudiesassessingthetechniquesinthepresenceo
4、fcomplicationslikelytoarisewithreal-worlddata,andconcludeswithapplicationstotheissuesofgeneralizedsocialtrustandpostmaterialistvalues,usingdatafromWorld/EuropeanValuesSurveys.Keywords:multilevel,comparative,longitudinal,WorldValuesSurvey,trust,valuesAcknowled
5、gementsForusefulcommentsandsuggestions,thanksto:RimaWilkes,AndyBell,DmitriyPoznyak,DavidManley,andKelvynJones;fellowmembersoftheUniversityofBristol’sSchoolofGeographicalSciencesSpatialModellingGroup;andaudiencesatECPR2011inReykjavik,ESRA2011inLausanne,the2011
6、ASASpringMethodologyConferenceatTilburgUniversity,anda2012symposiumon“TheQualityofMeasurement”attheTechnischeUniversitätDresden.ThanksalsotoGethinWilliamsforhelprunningsimulationsremotelyandinparallelonmultiplecoresofaLinuxserver.Wordcount(incl.thispage,footn
7、otes,andreferences,excl.appendix):10,30821IntroductionComparativesurveydataconsistofobservationsonsurveyrespondentsdrawnfrommultiplecountriesorsub-nationaljurisdictionssuchasstates,provinces,or1metropolitanareas.Comparingrespondentsfromdifferentjurisdictionsc
8、anhelptoclarifyhowpeopledifferdependingontheirsocialandpoliticalcontexts,andtotesttheoriesabouttheconsequencesofmacro-socialconditionsforindividuals’attitudes,beliefs,circumstances,andbeh
