Stepwise methods can limit power for hypothesis tests of cross-level interactions
Published: May 27, 2018
Abstract
In multilevel models, stepwise methods are commonly used to test cross-level interactions, where a cluster level variable explains differences in the effect of an observation level variable on the outcome.Researchers often wish to establish that there is between cluster variance in slopes before testing whether an observed cluster level variable explains between cluster variance in slopes.In the stepwise method, between cluster slope variance...
Paper Details
Title
Stepwise methods can limit power for hypothesis tests of cross-level interactions
Published Date
May 27, 2018
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