Sorry, I am afraid I did not get you right.
What I am trying to do is comparing two models using a likelihood ratio test. For this reason I need to come up with a total LL across respondents for each of the two models.
Imagine I have got 3 respondents, the related RLH and 4 tasks.
Resp 1-> RLH= 0.635
Resp 2-> RLH= 0.589
Resp 3-> RLH= 0.308
The invididual LLs become:
Resp 2-> LL2=NL(0.589)*4=-2.22
Resp 3-> LL3=NL(0.308)*4=-4.71
Total LL across respondents= LL1+LL2+LL3=-8.74
Is this correct?
Moreover, does it make sense to compare two models using the likelihood ratio test? Doesn´it focus too much on the lower-level model and not enough on the upper-level model? This is the reason why I was asking for a measure of the RLH at the population level (in the _alpha.csv file).
My apologies for the many questions...I would be really thankful if you could answer me one more time!