I am using a scenario-based method, which is similar to conjoint analysis methos. Below is my model. It has 4 independent variables. All of them are binary (0,1). IT has a moderator that is categorical (1 = Denial of Injury, 2 = Denial of responsibility, 3 = Defense of necessity, and 0 is my base in which no moderating effect was presented). My dependent variable is continuous (5 Likert-scale). I have many control variables. I already collected my data, and I am using mixed method in STATA to do my analysis. When I ran the analysis, some of results were omitted for multicollinearity and did not understand the output. I hope I can get help here. Here is my code and output I got:
mixed DVAverage Age Gender Experience AgreeablenessAverage ConscientiousnessAverage ExtraversionAverage OpennessAverage EmotionalStabilityAverage ScenarioType Order i.TN##i.SystemDissatisfaction TN##i.TimePressure TN##i.AlternativeAttractiveness TN##i.Convenience || ID:
The variable TN is the moderator of my study (1 = Denial of Injury, 2 = Denial of responsibility, 3 = Defense of necessity, and 0 is my base in which no moderating effect was presented).
Control Variables: Age Gender Experience AgreeablenessAverage ConscientiousnessAverage ExtraversionAverage OpennessAverage EmotionalStabilityAverage ScenarioType Order
0 Response to Mixed model Code for my model and multicollinearity problem.
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