Post hoc in generalized mixed models

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Gozdem
Posts: 2
Joined: Sun Aug 28, 2022 6:24 pm

Post hoc in generalized mixed models

Post by Gozdem »

Hiya,

I am trying to bring my head around interpreting the posthoc output from generalized mixed models. I am not sure what "difference" exactly means and some numbers are super large! I assume it is due to ':) one of my factors having a very large effect but since I do not exactly understand what the "difference" score exactly means&how it is calculated (based on marginal means of clustred variables or all of the observations) in posthoc (with bonferroni correction), I am a bit confused. Can someone help please ? :)

Some short info on my design:
3 factors, with a 2x3x3 design.
1 binomial outcome: 1 and 0
clustered by participants
factors coded with helmert contrast
the model with binomial distribution and logit link function
I am trying to interpret two and three way interactions as well as factor effects that came out from the model via post hoc analysis.
there are no covariates.

Thanks in advance !
G
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mcfanda@gmail.com
Posts: 457
Joined: Thu Mar 23, 2017 9:24 pm

Re: Post hoc in generalized mixed models

Post by mcfanda@gmail.com »

If you used GAMLj generalized linear model, and selected the logistic model, in the post-hoc table you should see a column labeled as "Exp(B)", and no "Difference". If you see a "Difference" column, you did not select a logistic model. The "Exp(B)" column found for the logistic model is the odd ratio, so it would be the ratio between the two groups' odds.
Gozdem
Posts: 2
Joined: Sun Aug 28, 2022 6:24 pm

Re: Post hoc in generalized mixed models

Post by Gozdem »

Thanks for the reply. I actually used generalized mixed models not generalized linear models. Is the "difference" then the difference in the ratio of groups' odds?
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