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Direct linkRaykov, Tenko; Marcoulides, George A.; Harrison, Michael – Measurement: Interdisciplinary Research and Perspectives, 2019
Utilizing the perspective of finite mixture modeling, this note considers whether a finding of a plausible one-parameter logistic model could be spurious for a population with substantial unobserved heterogeneity. A theoretically and empirically important setting is discussed involving the mixture of two latent classes, with the less restrictive…
Descriptors: Models, Evaluation Methods, Social Science Research, Statistical Analysis
Raykov, Tenko; Dimitrov, Dimiter M.; von Eye, Alexander; Marcoulides, George A. – Educational and Psychological Measurement, 2013
A latent variable modeling method for evaluation of interrater agreement is outlined. The procedure is useful for point and interval estimation of the degree of agreement among a given set of judges evaluating a group of targets. In addition, the approach allows one to test for identity in underlying thresholds across raters as well as to identify…
Descriptors: Interrater Reliability, Models, Statistical Analysis, Computation
Raykov, Tenko; Patelis, Thanos; Marcoulides, George A. – Educational and Psychological Measurement, 2011
A latent variable modeling approach that can be used to examine whether several psychometric tests are parallel is discussed. The method consists of sequentially testing the properties of parallel measures via a corresponding relaxation of parameter constraints in a saturated model or an appropriately constructed latent variable model. The…
Descriptors: Models, Psychometrics, Evaluation Methods, Evaluation Research
