方差分析中主效应和交互效应的图形

Data and figures of Main effect and Interactionsin 2 Factorial Design双因素研究设计中的主效应和交互效应统计数据及图形 Hypothetical Example自变量 1: auditor rankAudit manager vs. senior自变量 2: decision aidNo decision aid vs. decision aidTask：prediction of corporate failure因变量: 判断绩效（数值越高表明判断绩效越好） 判断绩效No decision aid Decision aid MeanSenior 10 30 20Manager 10 30 20Mean 10 30 情形ARank main effect not significantDecision aid main effect significantInteraction: not significant No decision aid decision aidManagerSeniorJudgment performance情形ANote：自变量1的主效应不显著，自变量2的主效应显著。 No decision aid decision aidManagerSeniorJudgment performance BNote：自变量1的主效应显著，自变量2的主效应不显著。 No decision aid Decision aid MeanSenior 20 20 20Manager 30 30 30Mean 25 25 BRank main effect：significantDecision aid main effect：not significantInteraction: not significant No decision aid Decision aid MeanSenior 10 30 20Manager 40 60 50Mean 25 45 CRank main effect：significantDecision aid main effect：significantInteraction: not significant No decision aid decision aidManagerSeniorJudgment performance Cv No decision aid Decision aid MeanSenior 30 50 40Manager 50 30 40Mean 40 40 DRank main effect：not significantDecision aid main effect：not significantInteraction: significant No decision aid decision aidSeniorManagerJudgment performance D No decision aid Decision aid MeanSenior 20 40 30Manager 30 30 30Mean 25 35 ERank main effect：not significantDecision aid main effect：significantInteraction: significant No decision aid decision aidSeniorManagerJudgment performance E No decision aid Decision aid MeanSenior 10 30 20Manager 50 30 40Mean 30 30 FRank main effect：significantDecision aid main effect：not significantInteraction: significant No decision aid decision aidManagerSeniorJudgment performance F No decision aid Decision aid MeanSenior 20 40 30Manager 30 70 50Mean 25 55 GRank main effect：significantDecision aid main effect：significantInteraction: significant No decision aid decision aid ManagerSeniorJudgment performance G The endThank you!