Type I Error Rates of the Kenward-Roger F-test for a Split-Plot Design with Missing Values and Non-Normal Data

被引：0

作者：

Padilla, Miguel A. ^{[1
]}

Min, YoungKyoung ^{[2
]}

Zhang, Guili ^{[3
]}

机构：

[1] Old Dominion Univ, Quantitat Psychol, Norfolk, VA 23529 USA

[2] Korea Fdn Adv Sci & Creat, Seoul, South Korea

[3] East Carolina Univ, Res & Evaluat Methodol, Greenville, NC 27858 USA

来源：

JOURNAL OF MODERN APPLIED STATISTICAL METHODS | 2008年 / 7卷 / 02期

关键词：

missing values; Kenward-Roger F-test; robustness; mixed models; split-plot design; non-normal data; and covariance heterogeneity;

D O I：

暂无

中图分类号：

O21 [概率论与数理统计]; C8 [统计学];

学科分类号：

020208 ; 070103 ; 0714 ;

摘要：

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.

引用

页码：385 / 397

页数：13