On robusiness of the normal-theory based asymptotic distributions of three reliability coefficient estimates
By Ke-Hai Yuan, Peter M. Bentler. 2002
80 citations recorded by the source corpus.
Subfields: Management Science and Operations Research, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/a66e79b76317329526861ea5c00a6f45464e332f
How researchers see this paper
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In Management Science and Operations Research
- Gregor Socan
- Thomas J. Dunn
- Thurasamy Ramayah
- J. F. Berge
- Víctor H. Cervantes
- Vivienne Brunsden
- T. Baguley
- Mumtaz Ali Memon
In Statistics and Probability
- Gregor Socan
- Thomas J. Dunn
- Thurasamy Ramayah
- J. F. Berge
- Víctor H. Cervantes
- Vivienne Brunsden
- T. Baguley
- Mumtaz Ali Memon
Citations in the corpus
- ASSESSING REFLECTIVE MODELS IN MARKETING RESEARCH: A COMPARISON BETWEEN PLS AND PLSc ESTIMATES (2018, background): “In particular, Cronbach's alpha (α) typically underestimates the reliability results when the tau-equivalence is not met or if the sample size is relatively smaller (Sijtsma, 2009; Yuan & Bentler, 2002).”
- MINIMUM SAMPLE SIZE FOR CRONBACH'S COEFFICIENT ALPHA: A MONTE-CARLO STUDY CRONBACH ALFA KATSAYISI İÇİN MİNİMUM ÖRNEKLEM GENİŞLİĞİ: MONTE-CARLO ÇALIŞMASI (2008, background): “where n denotes sample size and α̂ is the MLE of α (van Zyl et al. 2000; Yuan and Bentler, 2002).”
- The greatest lower bound to the reliability of a test and the hypothesis of unidimensionality (2004, background): “Whereas alpha in small samples tends to slightly underestimate the population value (Feldt, Woodruff, & Salih, 1987; Van Zijl, Neudecker, & Nel, 2000; Yuan & Bentler, 2002 ), ,~4 and glb may grossly overestimate the population values when computed in small samples (Verhelst, 1998; Shapiro & Ten Ber”
- Advancing Alpha: Measuring Reliability with Confidence (2003, unknown): “Early reports indicate that these statistics might prove to be fairly hardy; Yuan and Bentler (2002) showed in their exploration of skewness and kurtosis that these indexes are fairly robust to violations of the assumption of multivariate normality.”
- Interpretaciones del Coeficiente Alpha de Cronbach (2005, background): “…al., 1993), a la presencia de error temporal "no trivial" (Schmidt et al., 2003), a la distribución de los componentes (Christmann & Van Aelst, 2002; Yuan & Bentler, 2002; Norris & Aroian, 2004), a la distribución del atributo (Zimmerman et al., 1993); así como sus relaciones con otros…”
- From alpha to omega: a practical solution to the pervasive problem of internal consistency estimation. (2014, methodology): “Other authors have shown that estimation of reliability of alpha can also be inflated when the errors for each item are correlated or the number of items is significantly increased (Cortina, 1993; Yuan & Bentler, 2002).”