Evaluation of Structural Equation Modeling Estimates of Reliability for Scales with Ordered Categorical Items

By Yanyun Yang, S. Green. 2015

58 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Management Science and Operations Research, Public Health, Environmental and Occupational Health

View Paper: https://www.semanticscholar.org/paper/f4beecbf80854b7b33c8760a126cd353b412d5d6

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Networks and Communications

1. Ariadna Angulo-Brunet
2. David B. Flora
3. C. Viladrich
4. E. Doval
5. Victoria Savalei
6. Yanyun Yang
7. D. Bandalos
8. Daniel A. Sass

In Management Science and Operations Research

1. Ariadna Angulo-Brunet
2. David B. Flora
3. C. Viladrich
4. E. Doval

In Public Health, Environmental and Occupational Health

1. David B. Flora

Citations in the corpus

• A journey around alpha and omega to estimate internal consistency reliability (2017, background): “If the researchers are interested in the reliability of the item sum, a better choice is the nonlinear SEM reliability (Green & Yang, 2009; Yang & Green, 2015).”
• Your Coefficient Alpha Is Probably Wrong, but Which Coefficient Omega Is Right? A Tutorial on Using R to Obtain Better Reliability Estimates (2020, methodology): “Note that ordinal alpha is a reliability estimate for the sum of the continuous, latent-response variables (i.e., x* variables described earlier) rather than for X, the sum of the observed, categorical item-response variables (Yang & Green, 2015).”