What is the meaning of post hoc analysis?
A post-hoc analysis involves looking at the data after a study has been concluded, and trying to find patterns that were not primary objectives of the study.
Are post hoc and false cause the same?
Post hoc is a fallacy because correlation does not equal causation. The Latin expression post hoc, ergo propter hoc can be translated literally as “after this, therefore because of this.” The concept can also be called faulty causation, the fallacy of false cause, arguing from succession alone or assumed causation.
How to do post hoc test in linear mixed models?
Post hoc test in linear mixed models: how to do? I’m now working with a mixed model (lme) in R software. The model has two factors (random and fixed); fixed factor (4 levels) have a p <.05. Now I want to do a multiple comparison but I don’t know how to do with it R or another statistical software. Can anyone help me?
When to use Multicomp in linear mixed models?
Carole, if you have such interaction (factor vs. continuous variable), it does not make sense to do a multicomp as, what you have, is actually n equations (one for each level of the factor) and the significance of the interaction does already tell you whether the slope is significantly influenced by your factor or not.
How are post hoc tests used to adjust p-value?
Post Hoc tests are just different ways to adjust p-value regarding the number of comparisons performed. So, if you have two factors and only one is significant (I assume that there is no significant interaction either), you actually have four groups, one to each level of your significant factor.
Do you do post hoc test with LM or lmer?
PLus, if I may say, that’s the nature of your sampling design (or your data) that drives the fact that you’ll do lm or lmer (eg if your sampling desing is nested) not the possibility to do post-hoc test or not.