Estimating Generalizability to a Latent Variable Common to All of a Scale's Indicators: A Comparison of Estimators for ωh

By Richard E. Zinbarg, Iftah Yovel, William Revelle, R. Mcdonald. 2006

416 citations recorded by the source corpus.

Subfields: Experimental and Cognitive Psychology, Food Science, Management Science and Operations Research

View Paper: https://www.semanticscholar.org/paper/8f82babea5c24da2092c9ed0e6e9d00b3340fe59

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In Experimental and Cognitive Psychology

In Food Science

In Management Science and Operations Research

Citations in the corpus

Estimating ω h for Structures Containing Two Group Factors: Perils and Prospects (2007, methodology): “…expressing alpha in terms of the parameters of the hierarchical factor model given by (1), which reads α = k k− 1 10cc01 − c0c + 10AA01 − TrðAA0Þ 10S1 ð3Þ Zinbarg et al. (2006) compared the usefulness of (a) the two methods for estimating ωh derived from exploratory factor analysis (EFA; 1st…”
How Reliable are Measurement Scales? External Factors with Indirect Influence on Reliability Estimators (2015, background): “…many situations Cronbach Alpha can register high values even when the set of items actually measures different, independent variables (high values are not an indicator of scale unidimensionality) (Cortina, 1993; Cronbach, 1951; Green et al., 1977; Revelle, 1979; Schmitt, 1996; Zinbarg et al, 2006).”
Best Alternatives to Cronbach's Alpha Reliability in Realistic Conditions: Congeneric and Asymmetrical Measurements (2016, methodology): “…of α when the assumption of tau-equivalence is violated (Dunn et al., 2014) and different studies show that it is one of the best alternatives for estimating reliability (Zinbarg et al., 2005, 2006; Revelle and Zinbarg, 2009), although to date its functioning in conditions of skewness is unknown.”
Coefficients Alpha, Beta, Omega, and the glb: Comments on Sijtsma (2009, methodology): “We have previously discussed the many situations where it is very important to estimate ω h Zinbarg et al. (2005, 2006, 2007). ω t and ω h are easy to calculate from any factor analysis output in either commercial programs (e.g., SPSS or SAS) or packages (e.g., psych, Revelle (2008)) contributed to…”
Robust dimensions of anxiety sensitivity: development and initial validation of the Anxiety Sensitivity Index-3. (2007, methodology): “This was done by performing a Schmid–Leiman analysis of the loadings from the confirmatory factor analyses reported earlier in this article, using the procedures described by Zinbarg et al. (2006).”
Making Reliability Reliable (2016, background): “Although hierarchical omega is a matter of degree, dimensionality is a yes-or-no issue (Zinbarg et al., 2006); all data are either unidimensional or multidimensional.”