Coefficient Omega Bootstrap Confidence Intervals: Nonnormal Distributions

被引：17

作者：

Padilla, Miguel A. ^{[1
]}

Divers, Jasmin ^{[2
]}

机构：

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

[2] Wake Forest Sch Med, Winston Salem, NC USA

来源：

EDUCATIONAL AND PSYCHOLOGICAL MEASUREMENT | 2013年 / 73卷 / 06期

关键词：

coefficient omega; reliability; composite reliability; bootstrap; confidence interval; interval estimate; nonnormality; ordinal; dichotomous; binary; COMPOSITE RELIABILITY; STANDARD ERROR; ALPHA; SCALES;

D O I：

10.1177/0013164413492765

中图分类号：

G44 [教育心理学];

学科分类号：

0402 ; 040202 ;

摘要：

The performance of the normal theory bootstrap (NTB), the percentile bootstrap (PB), and the bias-corrected and accelerated (BCa) bootstrap confidence intervals (CIs) for coefficient omega was assessed through a Monte Carlo simulation under conditions not previously investigated. Of particular interests were nonnormal Likert-type and binary items. The results show a clear order in performance. The NTB CI had the best performance in that it had more consistent acceptable coverage under the simulation conditions investigated. The results suggest that the NTB CI can be used for sample sizes larger than 50. The NTB CI is still a good choice for a sample size of 50 so long as there are more than 5 items. If one does not wish to make the normality assumption about coefficient omega, then the PB CI for sample sizes of 100 or more or the BCa CI for samples sizes of 150 or more are good choices.

引用

页码：956 / 972

页数：17

共 29 条

[1] A different paradigm for the initial colonisation of Sahul [J].