I would be very appreciative if someone could help me. What I want to do is:
1. Compare two linear multiple regressions. I want to know what coping strategy best predicts burnout. The first model has eight coping strategies. The second has 7 coping strategies (I removed one coping strategy from first model based on the Z statistic).
2. From here I want to test for parsimony using a likelihood ratio test to compare likelihood values of each model based on a chi-square distribution.
I have no idea how to do the second step, which has been recommended by my research supervisor. Does anyone have any suggestions?