Hello,

I have the following problem with my data.

I have two significant interaction terms in the model which accounts for the random effect of a group (small group interactions). However, R square, calculated as:

(random effects residuals - full model residuals)/ random effect residuals has horribly low values (.003 for the model with one interaction term, .01 for the model with two interaction terms). When I add these terms in a regular regression, both the total r-square and r-square changes are much higher. how can it be?

I understand that regular regression does not separate random effects from fixed effects, however, the estimates are quite high.

Maybe my calculation of R square is not right? Any help?

I've downloaded both the dataset and the results.

Cheers,

Karolina

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Karolina Ziembowicz

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