Question
Asked 18th Dec, 2016

How to compute McDonald ‘s omega coefficient for model with residual variance?

I would like to compute the omega coefficient for a bifactor model with residual variance.
May I know if adjustment/modification is needed for the formula?
By the way, I used the Watkins (2013)'s Omega software to compute the omega and omega (h).

All Answers (2)

  1. Reise, S. P. (2012). The rediscovery of bifactor measurement models. Multivariate Behavioral Research, 47(5), 667-696.
  2. Kóbor, A., Takács, Á., & Urbán, R. (2013). The bifactor model of the Strengths and Difficulties Questionnaire. European Journal of Psychological Assessment.
  3. Gignac, G. E., & Watkins, M. W. (2013). Bifactor modeling and the estimation of model-based reliability in the WAIS-IV. Multivariate Behavioral Research, 48(5), 639-662.

Similar questions and discussions

Related Publications

Article
Full-text available
The continuous two parameter Birnbaum-Saunders distribution (BSd) has several application in reliability science and engineering. It can be successfully applied to model failure times of metals under fatigue. We come across situations where lifetime of a device is considered to be discrete random variable. In this article, discrete Birnbaum-Saunder...
Chapter
This chapter is a continuation of Chapter 9, generalizing the results in the case of a posterior estimation when experimental data about the parameters of the tested system are known. When we project and build technical devices, it is customary that two types of testing are carried out: functional and exploratory ones. The purpose of the researches...
Chapter
Bayesian methods have become increasingly popular in recent years because of its central application in the new technologies related to artificial intelligence and machine learning. Here, a brief introduction to Bayesian thinking and Bayesian methods in reliability analysis is given with focus on the basic concepts and methods. These are illustrate...
Got a technical question?
Get high-quality answers from experts.