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Dec 6, 2018 12:42 PM
(1631 views)

Has anyone seen this result where Student's t letters are the same while Tukey HSD letters are different. I usually see visa versa. Any thought?

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I would not perform any *post hoc* tests until I validated the assumptions of the model and addressed all the issues with the estimation.

- Did you notice the warnings in the report of the variance components?
- Did you notice that your model is over-specified and the fixed and random effects are confounded?
- Did you notice that one of the random effects is zeroed?
- How do you justify treating gender as a random effect?

I don't think that this analysis is quite ready for any *post hoc* tests.

Learn it once, use it forever!

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I would not perform any *post hoc* tests until I validated the assumptions of the model and addressed all the issues with the estimation.

- Did you notice the warnings in the report of the variance components?
- Did you notice that your model is over-specified and the fixed and random effects are confounded?
- Did you notice that one of the random effects is zeroed?
- How do you justify treating gender as a random effect?

I don't think that this analysis is quite ready for any *post hoc* tests.

Learn it once, use it forever!