Coefficient Alpha: A Reliability Coefficient for the 21st Century?
By Yanyun Yang, S. Green. 2011
464 citations recorded by the source corpus.
Subfields: Applied Psychology, Developmental and Educational Psychology, Management Science and Operations Research
View Paper: https://www.semanticscholar.org/paper/c42b3655580726074304743de046d0e09f7fc34e
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Applied Psychology
- Jeff J. Kosovich
- S. Studer
- Ariadna Angulo-Brunet
- Thomas Goetz
- S. Getty
- Eric Hehman
- Eunseong Cho
- Alexander Robitzsch
In Developmental and Educational Psychology
- Jeff J. Kosovich
- K. Barron
- F. Preckel
- S. Studer
- Ariadna Angulo-Brunet
- Ítalo Trizano-Hermosilla
- Thomas Goetz
- S. Getty
In Management Science and Operations Research
- Jeff J. Kosovich
- S. Studer
- Ariadna Angulo-Brunet
- Ítalo Trizano-Hermosilla
- Thomas Goetz
- Antoine Fischbach
- S. Getty
- Eric Hehman
Citations in the corpus
- Testing Measurement Invariance and Comparing Latent Factor Means Within a Confirmatory Factor Analysis Framework (2011, methodology): “…Management, Δχ2 (5) = 119.38, p < .001, and Instructional Management, Δχ2 (5) = 58.91, p < .001, scales, thus the nonlinear SEM reliability estimates (Green & Yang 2009; Yang & Green, 2011) of .79 and .78 were computed for the Behavior Management and Instructional Management scales, respectively.”
- Why Ordinal Variables Can (Almost) Always Be Treated as Continuous Variables: Clarifying Assumptions of Robust Continuous and Ordinal Factor Analysis Estimation Methods (2020, background): “Moreover, we generally question the strong preference of a model-based assessment of reliability from a factor analysis (e.g., McNeish, 2018; Sijtsma, 2009; Yang and Green, 2011) compared to designbased reliability measures (i.”
- Construct Validation in Social and Personality Research (2017, methodology): “We referred readers to Graham (2006), Sijtsma, (2009), and Yang and Green (2011) for details on how to test these assumptions in classical test theory and structural equation modeling framework.”
- 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).”
- A journey around alpha and omega to estimate internal consistency reliability (2017, methodology): “Omega hierarchical is a more general specification for Equation 5 as is explained by Gu et al. (2013) for quantitative data and by Yang and Green (2011) for ordinal data.”
- 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).”
- Volunteer Management (2016, methodology): “These components consist of only a few items, and as the measure for reliability is dependent on the number of items (Yanyun Yang & Green, 2011), it is reasonable to assume that further development of the scale might deliver components that are more consistent.”
- A Practical Measure of Student Motivation (2015, methodology): “Reliability estimates were calculated using coefficient omega, which is a more accurate index of internal consistency than alpha (Yang & Green, 2011).”
- “My Questionnaire is Too Long!” The assessments of motivational-affective constructs with three-item and single-item measures (2014, background): “Com mon method variance due to similarly worded items or other compounded systematic errors produced by redundant items (e.g., because of socially desirable responding; Robins, Hendin, & Trzesniewski, 2001) can lead to artificially high reliability estimates (Yang & Green, 2011).”
- From alpha to omega: a practical solution to the pervasive problem of internal consistency estimation. (2014, unknown): “For example, many researchers advocate the use of structural equation modelling (SEM) as the most robust tool to assess a test’s reliability, mainly, because it allows one to specify and compare different models of reliability (e.g., Graham, 2006; Miller, 1995; Yang & Green, 2011).”