The Comparison of Model Selection Criteria When Selecting Among Competing Hierarchical Linear Models
Abstract
Little is known about the use and accuracy of model selection criteria when selecting among a set of competing multilevel models. The practices of applied researchers and the performance of five model selection criteria are examined when selecting the correct multilevel model using simulation techniques.
DOI
10.22237/jmasm/1241136840
Included in
Applied Statistics Commons, Social and Behavioral Sciences Commons, Statistical Theory Commons
