# Tagged Questions

48 views

### HUGE number of degrees of freedom in MLM mixed model - is this correct?

We are doing a mixed multilevel modeling analysis, using SAS PROC MIXED with 145 subjects, and 255 observations per subjects. We used subjects as a random factor and had three continuous variables ...
127 views

I'm running mixed design ANOVA using R. Somehow, I got incorrect values for the Df. There are two factors: time (within subjects), and ...
41 views

### Increasing degrees of freedom with mixed models

I used the glmulti package in R to generate a linear model with interactions. The response variable has 21 observations, set against 5 input variables, one of which is a binary factor while the rest ...
117 views

### How is the Df computed in a mixed model?

The following is the output for a mixed model example. The only difference between fm1 and fm2 is the random factor "URBAN", why the df for fm2 is 5 but not 4? Any help would be great. ...
790 views

### Degrees of freedom in my mixed model

I am having a serious issue trying to figure out why my degrees of freedom are screwy when running my proc mixed model. I have nested data for a MLM analyses, but SAS isn't providing the correct df ...
381 views

### Weird denominator degrees of freedom in SAS glimmix

I´m trying to learn generalized mixed models in SAS and I have now bumbed into a situation that I cannot figure out by myself. So I was thinking that maybe some of you could help me forward. I´m ...
2k views

### Differences between PROC Mixed and lme / lmer in R - degrees of freedom

Note : this question is a repost, as my previous question had to be deleted for legal reasons. While comparing PROC MIXED from SAS with the function lme from the ...
266 views

### Interpreting group level coefficents/degrees of freedom in mixed effects model

I was hoping you could provide some information on how one should interpret and present group level coefficients and degrees of freedom in a mixed effects (in my case: logistic) model. I'm fully ...
3k views

### How should mixed effects models be compared and or validated?

How are (linear) mixed effects models normally compared against each other? I know likelihood ratio tests can be used, but this doesn't work if one model is not a 'subset' of the other correct? Is ...