title: The relationship between unstandardized and standardized alpha, true reliability, and the underlying measurement model.
abstract: Popular computer programs print 2 versions of Cronbach's alpha: unstandardized alpha, α(Σ), based on the covariance matrix, and standardized alpha, α(R), based on the correlation matrix. Sources that accurately describe the theoretical distinction between the 2 coefficients are lacking, which can lead to the misconception that the differences between α(R) and α(Σ) are unimportant and to the temptation to report the larger coefficient. We explore the relationship between α(R) and α(Σ) and the reliability of the standardized and unstandardized composite under 3 popular measurement models; we clarify the theoretical meaning of each coefficient and conclude that researchers should choose an appropriate reliability coefficient based on theoretical considerations. We also illustrate that α(R) and α(Σ) estimate the reliability of different composite scores, and in most cases cannot be substituted for one another.
authors.affiliation: Department of Psychology, The University of British Columbia, Canada. cffalk@psych.ubc.ca
authors.forename: Carl F
authors.initials: CF
authors.lastname: Falk
authors.forename: Victoria
authors.initials: V
authors.lastname: Savalei
mesh_terms: D015233:Models, Statistical; D012107:Research Design; D013223:Statistics as Topic