Hi everyone¡
I have cluster data from a School District ( 2000 Workers nested in 25 Schools), I have a continuous dependent variable and an independent variable, and several dichotomous covariates (at the individual and group level)
I am running Mixed in Stata 16. The null model's ICC is low (0.036), but the LR test vs. linear model suggests that the two-level model offers a significantly better fit to the data than the single-level model. Adding the first group level variable (variable at the School level) works the same...meaning that ICC is low. Still, the LR test vs. linear model suggests that the two-level model offers a significantly better fit to the data than the single-level model. When adding most group-level variables the ICC looks very odds (I suppose extremely low: 7.03e-16 ) and the LR test vs. linear model suggests that the two-level model does not offer a significantly better fit to the data than the single-level. My questions:
-How should I interpret an ICC value of: 7.03e-16
-Should I use standard regression and skip clustering the data?
Thanks, ¡¡¡
Related Posts with Problem with intraclass correlation coefficient in Mixed-effects
How toI have quite a simple problem. But STATA is new to me. my code is : y age gender: egen UIdur_mean …
Question about using if flag + tab togetherHi all, I am trying to create a Table 1 using Medicare claims to compare demographics among people …
Trouble plotting standard deviation - Sigma convergenceHi, I am new to Stata and have been trying to plot the standard deviation of my whole sample and th…
Counting unique observations in a complicated data structureDear Statalist, I have a panel data on the level of towns and their administrative parts. Each town…
plotI have quite a simple problem. But STATA is new to me. my code is : y age gender: egen UIdur_mean …
Subscribe to:
Post Comments (Atom)
0 Response to Problem with intraclass correlation coefficient in Mixed-effects
Post a Comment