Type I Error Rates of the Kenward-Roger F-test for a Split-Plot Design with Missing Values and Non-Normal Data
Article Sidebar
Published
Nov 1, 2008
Main Article Content
Miguel A. Padilla
Old Dominion University
YoungKyoung Min
Korea Foundation for the Advancement of Science and Creativity
Guili Zhang
East Carolina University
Abstract
The Type I error of the Kenward-Roger (KR) F-test was assessed through a simulation study for a between- by within-subjects split-plot design with non-normal ignorable missing data. The KR-test for the between- and within-subjects main effect was robust under all simulation variables investigated and when the data were missing completely at random (MCAR). This continued to hold for the between-subjects main effect when data were missing at random (MAR). For the interaction, the KR F-test performed fairly well at controlling Type I under MCAR and the simulation variables investigated. However, under MAR, the KR F-test for the interaction only provided acceptable Type I error when the within-subjects factor was set at 3 and 5% missing data.
Article Details
Issue
Section
Articles