A Comparison of Three Approaches to Confidence Interval Estimation for Coefficient Omega

• In Event: 60.031 - Reliability: New Approaches

Abstract

Coefficient ω was introduced by McDonald (1978) as a reliability coefficient of composite scores for the congeneric model. The Wald method, likelihood method, and bias-corrected and accelerated bootstrap method are three approaches to interval estimation for coefficient ω. Very limited number of studies on the evaluation of these three methods can be found in the literature (e.g., Cheung, 2007, 2009a, 2009b; Kelley & Cheng, 2012; Padilla & Divers, 2013). No simulation study has been conducted to evaluate the performance of these three methods for interval construction on coefficient ω. The proposed simulation study aims to assess these three methods by comparing their performance on interval estimation on coefficient ω. Preliminary results are provided.

Authors

• Jie Xu, Florida State University

• Yanyun Yang, Florida State University