I should say ahead of time I have no theory for this, if I did I would use it.
We have a dependent variable that shows whether customers are or are not satisfied. The predictors is how satisfied they are with a variety of other factors like pay, the importance of their work, helping others etc.
Satisfaction with pay is extremely low now as it was six years ago the last time we ran this analysis. But, using the odds ratios to determine relative importance, pay had very limited impact on overall satisfaction 6 years, now it is the 2nd highest factor in terms of relative importance.
Is there any statistical way one can explore why this change occurred (some of the variables are new and some have been dropped from six years ago although most are the same).
We have a dependent variable that shows whether customers are or are not satisfied. The predictors is how satisfied they are with a variety of other factors like pay, the importance of their work, helping others etc.
Satisfaction with pay is extremely low now as it was six years ago the last time we ran this analysis. But, using the odds ratios to determine relative importance, pay had very limited impact on overall satisfaction 6 years, now it is the 2nd highest factor in terms of relative importance.
Is there any statistical way one can explore why this change occurred (some of the variables are new and some have been dropped from six years ago although most are the same).