likelihood ratio test and linear multiple regression

Moderators: statman, Analyst Techy, andris, Fierce, GerineL, Smash

jadr76
Posts: 1
Joined: Wed Oct 01, 2014 7:38 pm

likelihood ratio test and linear multiple regression

Postby jadr76 » Wed Oct 01, 2014 7:59 pm

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?

Thanks!
GerineL
Moderator
Posts: 1477
Joined: Tue Jun 10, 2008 4:50 pm

Re: likelihood ratio test and linear multiple regression

Postby GerineL » Fri Oct 03, 2014 11:18 am

Why do you want to use likelihood ratio test?

If indeed you have a nested model (i.e., the 7 variable model is the same as the 8 variable model, but 1 variable less), you can look at r square instead.

Who is online

Users browsing this forum: No registered users and 2 guests

cron