Commentary on Coefficient Alpha: A Cautionary Tale
By S. Green, Yanyun Yang. 2009
308 citations recorded by the source corpus.
Subfields: Management Science and Operations Research, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/4392a927ce9c97221bca1f8b21cebb6f43d29448
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The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Management Science and Operations Research
- Eunseong Cho
- David B. Flora
- M. Guhn
- A. Gadermann
- Yanyun Yang
- Bruno D. Zumbo
- Seonghoon Kim
- Klaas Sijtsma
In Statistics and Probability
Citations in the corpus
- Use Omega Rather than Cronbach’s Alpha for Estimating Reliability. But… (2020, background): “Green and Yang (2009), Yang & Green (2010)) discuss SEM approaches to the estimation of reliability (also see Graham, 2006; Raykov, 1997b) and favor SEM because it offers the analyst considerable flexibility in how the measurement model is specified.”
- Reliability of Summed Item Scores Using Structural Equation Modeling: An Alternative to Coefficient Alpha (2009, methodology): “The results differ slightly from those we previously reported in Green and Yang (2009) using EQS on the item covariance matrix.”
- Making Reliability Reliable (2016, background): “…studies such as Cortina (1993) and Schmitt (1996) offered influential lessons on alpha for organizational researchers, it is still commonly misconceived and widely misused (Cho & Kim, 2015; Dunn, Baguley, & Brunsden, 2013; Green & Yang, 2009a; Raykov, 2012; Sijtsma, 2009a; Yang & Green, 2011).”
- Cronbach’s Coefficient Alpha (2015, methodology): “His intention of stimulating debate was successfully realized; in 2009, four comments on his paper (Bentler, 2009; Green & Yang, 2009a, 2009b; Revelle & Zinbarg, 2009), as well as his rejoinder (Sijtsma, 2009b), were published in Psychometrika.”
- Best Alternatives to Cronbach's Alpha Reliability in Realistic Conditions: Congeneric and Asymmetrical Measurements (2016, background): “In this more realistic condition therefore (Green and Yang, 2009a; Yang and Green, 2011), α becomes a negatively biased reliability estimator (Graham, 2006; Sijtsma, 2009; Cho and Kim, 2015) and ω is always preferable to α (Dunn et al., 2014).”
- Estimating Ordinal Reliability for Likert-Type and Ordinal Item Response Data: A Conceptual, Empirical, and Practical Guide. (2012, methodology): “Some of the debates on reliability indices and on Cronbach’s alpha have been fairly technical, including Cronbach’s original paper (1951; see also, for example, Bentler, 2009; Green & Yang, 2009a, 2009b; Lord & Novick, 1968; Sijtsma, 2009).”