方差分析中主效应和交互效应的图形英

《方差分析中主效应和交互效应的图形英》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、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Nodecisio

2、naidDecisionaidMeanSenior103020Manager103020Mean1030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。4Nodecisionaiddecisionaid

3、ManagerSeniorJudgmentperformanceBNote：自变量1的主效应显著，自变量2的主效应不显著。5NodecisionaidDecisionaidMeanSenior202020Manager303030Mean2525BRankmaineffect：significantDecisionaidmaineffect：notsignificantInteraction:notsignificant6NodecisionaidDecisionaidMeanSenior103020M

4、anager406050Mean2545CRankmaineffect：significantDecisionaidmaineffect：significantInteraction:notsignificant7NodecisionaiddecisionaidManagerSeniorJudgmentperformanceCv8NodecisionaidDecisionaidMeanSenior305040Manager503040Mean4040DRankmaineffect：notsignific

5、antDecisionaidmaineffect：notsignificantInteraction:significant9NodecisionaiddecisionaidSeniorManagerJudgmentperformanceD10NodecisionaidDecisionaidMeanSenior204030Manager303030Mean2535ERankmaineffect：notsignificantDecisionaidmaineffect：significantInteract

6、ion:significant11NodecisionaiddecisionaidSeniorManagerJudgmentperformanceE12NodecisionaidDecisionaidMeanSenior103020Manager503040Mean3030FRankmaineffect：significantDecisionaidmaineffect：notsignificantInteraction:significant13NodecisionaiddecisionaidManag

7、erSeniorJudgmentperformanceF14NodecisionaidDecisionaidMeanSenior204030Manager307050Mean2555GRankmaineffect：significantDecisionaidmaineffect：significantInteraction:significant15NodecisionaiddecisionaidManagerSeniorJudgmentperformanceG16TheendThankyou!17