When to use BFinc across all models

AugustCollsiöö · May 2020

Hi,

We've had a discussion within our researchgroup on when one should calculate effects across all models and when one should calculate effects across matched models.

My general view is that if one is interested in the suport for an interaction in itself (disregarding the support for associated main effects and thus the principle of marginality) one should calculate effects across matched models. However, if one wants to uphold the principle of marginality and e.g. investigate the effects of an interaction together with the effects of associated main-effects one should calculate effects across all models.

Are there other general reason to calculate across all models rather than across mathed models? What is your general argument for calculating effects across all models rather than across matched models. When do you use across all models, when do you use across matched models?

Best,

August

rohanp16 · May 2020

+1

EJ · May 2020

Dear August

Yes I think that makes sense. I am not aware of any other arguments that have been put forward. You can of course also approach this pragmatically and view it as a form of robustness test: if the two analyses given very different answers it becomes critically important to look at the individual models more deeply.

Cheers,

E.J.

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