期刊名称：Journal of Modern Applied Statistical Methods
出版年度：2017
卷号：16
期号：2
页码：9
出版社：Wayne State University
摘要：The aim of this study was to investigate the performance of the Fisher, Feldt, Bonner, and Hakstian and Whalen (HW) confidence intervals methods for the non-parametric reliability estimate, ordinal alpha. All methods yielded unacceptably low coverage rates and potentially increased Type-I error rates.
关键词：Ordinal alpha; confidence interval; coverage; Monte Carlo; simulation
