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Andrich, David – Educational Measurement: Issues and Practice, 2016
Since Cronbach's (1951) elaboration of a from its introduction by Guttman (1945), this coefficient has become ubiquitous in characterizing assessment instruments in education, psychology, and other social sciences. Also ubiquitous are caveats on the calculation and interpretation of this coefficient. This article summarizes a recent contribution…
Descriptors: Computation, Correlation, Test Theory, Measures (Individuals)
Green, Samuel B.; Yang, Yanyun – Educational Measurement: Issues and Practice, 2015
In the lead article, Davenport, Davison, Liou, & Love demonstrate the relationship among homogeneity, internal consistency, and coefficient alpha, and also distinguish among them. These distinctions are important because too often coefficient alpha--a reliability coefficient--is interpreted as an index of homogeneity or internal consistency.…
Descriptors: Reliability, Factor Analysis, Computation, Factor Structure
McCaffrey, Daniel F.; Yuan, Kun; Savitsky, Terrance D.; Lockwood, J. R.; Edelen, Maria O. – Educational Measurement: Issues and Practice, 2015
We examine the factor structure of scores from the CLASS-S protocol obtained from observations of middle school classroom teaching. Factor analysis has been used to support both interpretations of scores from classroom observation protocols, like CLASS-S, and the theories about teaching that underlie them. However, classroom observations contain…
Descriptors: Factor Structure, Multivariate Analysis, Scores, Factor Analysis
Wicherts, Jelte M.; Dolan, Conor V. – Educational Measurement: Issues and Practice, 2010
Measurement invariance with respect to groups is an essential aspect of the fair use of scores of intelligence tests and other psychological measurements. It is widely believed that equal factor loadings are sufficient to establish measurement invariance in confirmatory factor analysis. Here, it is shown why establishing measurement invariance…
Descriptors: Factor Structure, Intelligence Tests, Intelligence Quotient, Factor Analysis