Problem with level 1 . variance

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georgecorbett
Posts: 1
Joined: Mon Oct 04, 2021 1:41 am

Problem with level 1 . variance

Post by georgecorbett »

Hi, I am running a three-level iterative measurement model with binary results (level 1, person level 2, area level 3). In my model I can't select the first level box when I add the cons because it doesn't appear, only the fixed parameters, level 2 and level 3 boxes appear.
How can I choose the level 1 variance. Thanks!
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ChrisCharlton
Posts: 1354
Joined: Mon Oct 19, 2009 10:34 am

Re: Problem with level 1 . variance

Post by ChrisCharlton »

If you are running a binary logit model then the variance is fixed at (π^2)/3 (≈3.29) rather than being an estimated parameter, and this is why you cannot add this to your model.

See the following FAQ for more information about variances: Partitioning variation across levels
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Michael42
Posts: 2
Joined: Thu Jul 14, 2022 8:10 am

Re: Problem with level 1 . variance

Post by Michael42 »

ChrisCharlton wrote: ↑Mon Nov 01, 2021 12:01 pm If you are running a binary logit model then the variance is fixed at (π^2)/3 (≈3.29) rather than being an estimated parameter, and this is why you cannot add this to your model.

See the following FAQ for more information about variances: Partitioning variation across levels
Hey, thanks! I am running a binary logit model and it really worked. :)
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