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ID:24857290
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页数:33页
时间:2018-11-15
《教育心理统计研究课件lecture8》由会员上传分享,免费在线阅读,更多相关内容在教育资源-天天文库。
1、Lecture8BivariateanalysisExploringrelationshipsbetweentwovariablesCrosstabulationCrosstabulationCrosstabulationisoneofthesimplestandmostfrequentlyusedwaysofdemonstratingthepresenceorabsenceofarelationship.Toillustrateitsuse,considerthehypotheticaldataoneighte
2、enindividualsthatarepresentedinthetablebelow.DataforindividualsonjobsatisfactionandabsenteeismSubjectJobsatisfactionAbsent123456789101112131415161718YesYesNoYesNoNoYesYesNoYesNoNoNoYesYesNoNoyesNoYesYesYesYesNoNoNoNoYesYesNoNoYesNoNoNoYesCrosstabulationWehave
3、dataontwovariables:whethereachpersonexhibitsjobsatisfactionandwhethertheyhavebeenabsentfromworkinthepastsixmonths.Inordertoexaminetherelationshipbetweenthetwovariables,individualswillbeallocatedtooneofthefourpossiblecombinationsthatthetwovariablesinconjunctio
4、ncanassumed.Itisshowninthefollowingtable.FourpossiblecombinationJobsatisfactionAbsenteeismNYesYesNoNoYesNoYesNoCrosstabulationwithSPSSCrosstabulationscaneasilybecreatedwithSPSS.AnalyzeDescriptiveStatisticsCrosstabsDependentVariable(putsinRow)gender(putsinColu
5、mn)Statistics…Chi-squareContinueCellsObservedintheCountsContinueOKCorrelationTheideaofcorrelationisoneofthemostimportantandbasicintheelaborationofbivariaterelationships.Unlikechi-square,measuresofcorrelationindicateboththestrengthandthedirectionoftherelations
6、hipbetweenapairofvariables.Twotypesofmeasurecanbedistinguished:measuresoflinearcorrelationusingintervalvariablesandmeasuresofrankcorrelationusingordinalvariables.Linearcorrelation:relationshipsbetweenintervalvariablesCorrelationentailstheprovisionofayardstick
7、wherebytheintensityorstrengthofarelationshipcanbegauged.Toprovidesuchestimates,correlationcoefficientsarecalculated.Whenvariablesareinterval/ratio,byfarthemostcommonmeasureofcorrelationisPearson’sProductMomentCorrelationCoefficient,oftenreferredtoasPearson’sr
8、.Thismeasureofcorrelationpresumesthatintervalvariablesarebeingused.Linearcorrelation:relationshipsbetweenintervalvariables.........................negativerelationshipLinearcorrelation:re
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