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Thanks Coefficient Alpha, We Still Need You!
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Raykov, Tenko; Marcoulides, George A. – Educational and Psychological Measurement, 2019
This note discusses the merits of coefficient alpha and their conditions in light of recent critical publications that miss out on significant research findings over the past several decades. That earlier research has demonstrated the empirical relevance and utility of coefficient alpha under certain empirical circumstances. The article highlights…
Descriptors: Test Validity, Test Reliability, Test Items, Correlation
Evaluation of Measurement Instrument Criterion Validity in Finite Mixture Settings
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Raykov, Tenko; Marcoulides, George A.; Li, Tenglong – Educational and Psychological Measurement, 2016
A method for evaluating the validity of multicomponent measurement instruments in heterogeneous populations is discussed. The procedure can be used for point and interval estimation of criterion validity of linear composites in populations representing mixtures of an unknown number of latent classes. The approach permits also the evaluation of…
Descriptors: Validity, Measures (Individuals), Classification, Evaluation Methods
Examining Construct Congruence for Psychometric Tests: A Note on an Extension to Binary Items and Nesting Effects
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Raykov, Tenko; Marcoulides, George A.; Dimitrov, Dimiter M.; Li, Tatyana – Educational and Psychological Measurement, 2018
This article extends the procedure outlined in the article by Raykov, Marcoulides, and Tong for testing congruence of latent constructs to the setting of binary items and clustering effects. In this widely used setting in contemporary educational and psychological research, the method can be used to examine if two or more homogeneous…
Descriptors: Tests, Psychometrics, Test Items, Construct Validity
On the Fallibility of Principal Components in Research
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Raykov, Tenko; Marcoulides, George A.; Li, Tenglong – Educational and Psychological Measurement, 2017
The measurement error in principal components extracted from a set of fallible measures is discussed and evaluated. It is shown that as long as one or more measures in a given set of observed variables contains error of measurement, so also does any principal component obtained from the set. The error variance in any principal component is shown…
Descriptors: Error of Measurement, Factor Analysis, Research Methodology, Psychometrics
The Importance of the Assumption of Uncorrelated Errors in Psychometric Theory
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Raykov, Tenko; Marcoulides, George A.; Patelis, Thanos – Educational and Psychological Measurement, 2015
A critical discussion of the assumption of uncorrelated errors in classical psychometric theory and its applications is provided. It is pointed out that this assumption is essential for a number of fundamental results and underlies the concept of parallel tests, the Spearman-Brown's prophecy and the correction for attenuation formulas as well as…
Descriptors: Psychometrics, Correlation, Validity, Reliability
Measuring Computer Anxiety in the Work Environment.
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Marcoulides, George A.; And Others – Educational and Psychological Measurement, 1995
Covariance modeling techniques were used to test the assumption of group invariance of a computer anxiety scale by comparing results from potentially different populations: 258 college students and 320 law enforcement officers. Results support the idea that the validity of the computer anxiety construct can be generalized to different groups.…
Descriptors: College Students, Comparative Analysis, Computer Anxiety, Construct Validity