To Model or Not to Model Nonsignificant Results in Meta-Analyses?
To make sense of empirical data, researchers need statistical models, and the choice of model can influence conclusions. It is therefore important to be aware of the assumptions a model makes and, ideally, to test whether those assumptions hold in a particular dataset. This simple truth applies even to the choice of how to describe … Continue reading To Model or Not to Model Nonsignificant Results in Meta-Analyses? → The post To Model or Not to Model Nonsignificant Results in Meta-Analyses? first appeared on Replicability-Index.
The skinny
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