Abstract
A general approach for conducting power analysis in two- and three-level hierarchical linear models (HLMs) is described. The method can be used to perform power analysis to detect fixed effects at any level of a HLM with dichotomous or continuous covariates. It can easily be extended to perform power analysis for functions of parameters. Important steps in the derivation of this approach are illustrated and numerical examples are provided. Sample code implementing this approach is provided using the free program R.
DOI
10.22237/jmasm/1398918540
Included in
Applied Statistics Commons, Social and Behavioral Sciences Commons, Statistical Theory Commons
