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方差分析中主效应和交互效应的图形(英文)方差分析中主效应和交互效应的图形(英文)
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 rank Audit manager vs. senior 自变量 2: decision aid No decision aid vs. decision aid Task:prediction of corporate failure 因变量: 判断绩效(数值越高表明判断绩效越好) The end Thank you! * 30 10 Mean 20 30 10 Manager 20 30 10 Senior Mean Decision aid No decision aid 判断绩效 情形A Rank main effect not significant Decision aid main effect significant Interaction: not significant No decision aid decision aid Manager Senior Judgment performance 情形A Note: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 aid Manager Senior Judgment performance B Note:自变量1的主效应显著, 自变量2的主效应不显著。 25 25 Mean 30 30 30 Manager 20 20 20 Senior Mean Decision aid No decision aid B Rank main effect:significant Decision aid main effect:not significant Interaction: not significant 45 25 Mean 50 60 40 Manager 20 30 10 Senior Mean Decision aid No decision aid C Rank main effect:significant Decision aid main effect:significant Interaction: not significant No decision aid decision aid Manager Senior Judgment performance C v 40 40 Mean 40 30 50 Manager 40 50 30 Senior Mean Decision aid No decision aid D Rank main effect:not significant Decision aid main effect:not significant Interaction: significant No decision aid decision aid Senior Manager Judgment performance D 35 25 Mean 30 30 30 Manager 30 40 20 Senior Mean Decision aid No decision aid E Rank main effect:not significant Decision aid main effect:significant Interaction: significant No decision aid decision aid Senior Manager Judgment performance E 30 30 Mean 40 30 50 Manager 20 30 10 Senior Mean Decision aid No decision aid F Rank main effect:significant Decision aid main effect:not significant Interaction: significant No decision aid decision aid Manager Senior Judgment performance F 55 25 Mean 50 70 30 Manager 30 40 20 Senior Mean Decision aid No decision aid G Rank main effect:significant Decision aid main effect:s
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