方差分析中主效应和交互效应的图形(英文).ppt

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1、DataandfiguresofMaineffectandInteractionsin2FactorialDesign双因素研究设计中的主效应和交互效应统计数据及图形1HypotheticalExample自变量1:auditorrankAuditmanagervs.senior自变量2:decisionaidNodecisionaidvs.decisionaidTask：predictionofcorporatefailure因变量:判断绩效（数值越高表明判断绩效越好）2判断绩效NodecisionaidDecisionaidMea

2、nSenior103020Manager103020Mean1030情形ARankmaineffectnotsignificantDecisionaidmaineffectsignificantInteraction:notsignificant3NodecisionaiddecisionaidManagerSeniorJudgmentperformance情形ANote：自变量1的主效应不显著，自变量2的主效应显著。4NodecisionaiddecisionaidManagerSeniorJudgmentperformanceBNot

3、e：自变量1的主效应显著，自变量2的主效应不显著。5NodecisionaidDecisionaidMeanSenior202020Manager303030Mean2525BRankmaineffect：significantDecisionaidmaineffect：notsignificantInteraction:notsignificant6NodecisionaidDecisionaidMeanSenior103020Manager406050Mean2545CRankmaineffect：significantDecisio

4、naidmaineffect：significantInteraction:notsignificant7NodecisionaiddecisionaidManagerSeniorJudgmentperformanceCv8NodecisionaidDecisionaidMeanSenior305040Manager503040Mean4040DRankmaineffect：notsignificantDecisionaidmaineffect：notsignificantInteraction:significant9Nodecisio

5、naiddecisionaidSeniorManagerJudgmentperformanceD10NodecisionaidDecisionaidMeanSenior204030Manager303030Mean2535ERankmaineffect：notsignificantDecisionaidmaineffect：significantInteraction:significant11NodecisionaiddecisionaidSeniorManagerJudgmentperformanceE12NodecisionaidD

6、ecisionaidMeanSenior103020Manager503040Mean3030FRankmaineffect：significantDecisionaidmaineffect：notsignificantInteraction:significant13NodecisionaiddecisionaidManagerSeniorJudgmentperformanceF14NodecisionaidDecisionaidMeanSenior204030Manager307050Mean2555GRankmaineffect：s

7、ignificantDecisionaidmaineffect：significantInteraction:significant15NodecisionaiddecisionaidManagerSeniorJudgmentperformanceG16TheendThankyou!17