Hi,

I have ran a 3dLME on my data. My factorial design includes a within subject factor (Agent), a between subject factor (Order) and a Covariate for which subjects have a value for each of the 2 levels of the within subject factors. Now I have two questions that are crucial to correctly report the results of this analysis:

1. When a correspondent analysis (Mixed Linear Model) is carried in SPSS, one can test different models without random effects or with different combination of random effects (only slope, only intercept, both) and the SPSS output will report certain criteria to predict the best model (AIC, BIC). Is it possible to do something similar in AFNI? Also, why it does not let me run the analysis without random effects specified (I have tried both: -ranEff NA and no ranEFF option at all)?

2. How can I correctly report the betas that are taking the covariate in account?

I would be great if someone can help.

Thanks,
Giovanni