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Raykov, Tenko; Marcoulides, George A.; Harrison, Michael; Menold, Natalja – Educational and Psychological Measurement, 2019
This note confronts the common use of a single coefficient alpha as an index informing about reliability of a multicomponent measurement instrument in a heterogeneous population. Two or more alpha coefficients could instead be meaningfully associated with a given instrument in finite mixture settings, and this may be increasingly more likely the…
Descriptors: Statistical Analysis, Test Reliability, Measures (Individuals), Computation
Raykov, Tenko; Goldammer, Philippe; Marcoulides, George A.; Li, Tatyana; Menold, Natalja – Educational and Psychological Measurement, 2018
A readily applicable procedure is discussed that allows evaluation of the discrepancy between the popular coefficient alpha and the reliability coefficient of a scale with second-order factorial structure that is frequently of relevance in empirical educational and psychological research. The approach is developed within the framework of the…
Descriptors: Test Reliability, Factor Structure, Statistical Analysis, Computation
Menold, Natalja; Raykov, Tenko – Educational and Psychological Measurement, 2016
This article examines the possible dependency of composite reliability on presentation format of the elements of a multi-item measuring instrument. Using empirical data and a recent method for interval estimation of group differences in reliability, we demonstrate that the reliability of an instrument need not be the same when polarity of the…
Descriptors: Test Reliability, Test Format, Test Items, Differences
Menold, Natalja; Tausch, Anja – Sociological Methods & Research, 2016
Effects of rating scale forms on cross-sectional reliability and measurement equivalence were investigated. A randomized experimental design was implemented, varying category labels and number of categories. The participants were 800 students at two German universities. In contrast to previous research, reliability assessment method was used,…
Descriptors: Rating Scales, Test Reliability, Measurement, Classification

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