教育心理统计研究课件lecture8

《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