NotesFAQContact Us
Collection
Advanced
Search Tips
Showing all 7 results Save | Export
Peer reviewed Peer reviewed
Direct linkDirect link
Raykov, Tenko; Marcoulides, George A. – Educational and Psychological Measurement, 2021
The population discrepancy between unstandardized and standardized reliability of homogeneous multicomponent measuring instruments is examined. Within a latent variable modeling framework, it is shown that the standardized reliability coefficient for unidimensional scales can be markedly higher than the corresponding unstandardized reliability…
Descriptors: Test Reliability, Computation, Measures (Individuals), Research Problems
Peer reviewed Peer reviewed
Direct linkDirect link
Raykov, Tenko; Marcoulides, George A.; Pusic, Martin – Measurement: Interdisciplinary Research and Perspectives, 2021
An interval estimation procedure is discussed that can be used to evaluate the probability of a particular response for a binary or binary scored item at a pre-specified point along an underlying latent continuum. The item is assumed to: (a) be part of a unidimensional multi-component measuring instrument that may contain also polytomous items,…
Descriptors: Item Response Theory, Computation, Probability, Test Items
Peer reviewed Peer reviewed
Direct linkDirect link
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
Peer reviewed Peer reviewed
Direct linkDirect link
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
Peer reviewed Peer reviewed
Direct linkDirect link
Raykov, Tenko – Measurement and Evaluation in Counseling and Development, 2009
This article outlines a readily and widely applicable procedure of reliability evaluation for scales with unidimensional measures. The method is developed within the framework of the popular latent variable modeling methodology, and it accomplishes point, as well as interval, estimation of measuring instrument reliability. The approach can be…
Descriptors: Measures (Individuals), Reliability, Evaluation Methods, Computation
Peer reviewed Peer reviewed
Direct linkDirect link
Raykov, Tenko; Marcoulides, George A. – Structural Equation Modeling: A Multidisciplinary Journal, 2010
A latent variable modeling approach for examining population similarities and differences in observed variable relationship and mean indexes in incomplete data sets is discussed. The method is based on the full information maximum likelihood procedure of model fitting and parameter estimation. The procedure can be employed to test group identities…
Descriptors: Models, Comparative Analysis, Groups, Maximum Likelihood Statistics
Peer reviewed Peer reviewed
Direct linkDirect link
Raykov, Tenko – Behavior Therapy, 2004
A latent variable modeling approach to reliability and measurement invariance evaluation for multiple-component measuring instruments is outlined. An initial discussion deals with the limitations of coefficient alpha, a frequently used index of composite reliability. A widely and readily applicable structural modeling framework is next described…
Descriptors: Interpersonal Relationship, Measures (Individuals), Interaction, Error of Measurement