文档介绍：1Data 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2Hypothetical 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)3判断绩效SeniorManagerMeanNo decision aid101010Decision aid303030Mean2020情形ARank main effect not significantDecision aid main effect significantInteraction: not significant4No decision aiddecision 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。5No decision aiddecision aidManagerSeniorJudgment performanceBNote:自变量1的主效应显著,自变量2的主效应不显著。6SeniorManagerMeanNo decision aid203025Decision aid203025Mean2030BRank main effect:significantDecision aid main effect:not significantInteraction: not significant7SeniorManagerMeanNo decision aid104025Decision aid306045Mean2050CRank main effect:significantDecision aid main effect:significantInteraction: not significant8No decision aiddecision aidManagerSeniorJudgment performanceCv9SeniorManagerMeanNo decision aid305040Decision aid503040Mean4040DRank main effect:not significantDecision aid main effect:not significantInteraction: significant10No decision aiddecision aidSeniorManagerJudgment performanceD