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Raykov, Tenko – Measurement and Evaluation in Counseling and Development, 2007
A method for estimating criterion validity of scales with homogeneous components is outlined. It accomplishes point and interval estimation of interrelationship indices between composite scores and criterion variables and is useful for testing hypotheses about criterion validity of measurement instruments. The method can also be used with missing…
Descriptors: Measurement Techniques, Predictive Validity, Computation, Evaluation Methods
Raykov, Tenko; Amemiya, Yasuo – Structural Equation Modeling: A Multidisciplinary Journal, 2008
A structural equation modeling method for examining time-invariance of variable specificity in longitudinal studies with multiple measures is outlined, which is developed within a confirmatory factor-analytic framework. The approach represents a likelihood ratio test for the hypothesis of stability in the specificity part of the residual term…
Descriptors: Structural Equation Models, Longitudinal Studies, Computation, Time
Raykov, Tenko; Brennan, Mark; Reinhardt, Joann P.; Horowitz, Amy – Structural Equation Modeling: A Multidisciplinary Journal, 2008
A correlation structure modeling method for comparison of mediated effects is outlined. The procedure permits point and interval estimation of differences in mediator effects, and is useful with models postulating 1 or more predictor, intervening, or response variables that may also be latent constructs. The approach allows scale-free evaluation…
Descriptors: Multivariate Analysis, Comparative Analysis, Correlation, Structural Equation Models
Raykov, Tenko; Penev, Spiridon – Multivariate Behavioral Research, 2006
Unlike a substantial part of reliability literature in the past, this article is concerned with weighted combinations of a given set of congeneric measures with uncorrelated errors. The relationship between maximal coefficient alpha and maximal reliability for such composites is initially dealt with, and it is shown that the former is a lower…
Descriptors: Error of Measurement, Intervals, Reliability, Multivariate Analysis
Penev, Spiridon; Raykov, Tenko – Multivariate Behavioral Research, 2006
A linear combination of a set of measures is often sought as an overall score summarizing subject performance. The weights in this composite can be selected to maximize its reliability or to maximize its validity, and the optimal choice of weights is in general not the same for these two optimality criteria. We explore several relationships…
Descriptors: Behavioral Science Research, Reliability, Validity, Evaluation Methods
Raykov, Tenko; Marcoulides, George A. – International Journal of Testing, 2006
A structural equation modeling approach to scale reliability evaluation can be employed to estimate generalizability theory indexes in settings where sampling of subjects and conditions is carried out. In one- and two-facet crossed designs, it is demonstrated how this method can be used to obtain estimates of relative generalizability…
Descriptors: Computation, Generalizability Theory, Structural Equation Models, Reliability
Horowitz, Amy; Reinhardt, Joann P.; Raykov, Tenko – Journal of Visual Impairment & Blindness, 2007
This article describes the development and evaluation of a short form of the 24-item Adaptation to Age-Related Vision Loss (AVL) scale. The evaluation provided evidence of the reliability and validity of the short form (the AVL12), for significant interindividual differences at the baseline and for individual-level change in AVL scores over time.…
Descriptors: Measures (Individuals), Psychometrics, Vision, Test Validity
Raykov, Tenko – Structural Equation Modeling, 2004
A widely and readily applicable covariance structure modeling approach is outlined that allows point and interval estimation of scale reliability with fixed components. The procedure employs only linear constraints introduced in a congeneric model, which after reparameterization permit expression of composite reliability as a function of…
Descriptors: Measures (Individuals), Intervals, Error of Measurement, Structural Equation Models
Raykov, Tenko; Marcoulides, George A. – Structural Equation Modeling, 2004
In applications of structural equation modeling, it is often desirable to obtain measures of uncertainty for special functions of model parameters. This article provides a didactic discussion of how a method widely used in applied statistics can be employed for approximate standard error and confidence interval evaluation of such functions. The…
Descriptors: Intervals, Structural Equation Models, Evaluation Methods, Statistical Analysis

Raykov, Tenko; Little, Todd D. – Educational and Psychological Measurement, 1999
Describes a method for evaluating results of Procrustean rotation to a target factor pattern matrix in exploratory factor analysis. The approach, based on the bootstrap method, yields empirical approximations of the sampling distributions of: (1) differences between target elements and rotated factor pattern matrices; and (2) the overall…
Descriptors: Computer Software, Evaluation Methods, Factor Analysis, Goodness of Fit
Raykov, Tenko – Multivariate Behavioral Research, 2006
A method for examining invariance in validity of multiple-component instruments in repeated measure designs is outlined. The approach is developed within the framework of covariance structure modeling and is applicable for purposes of ascertaining temporal stability in scale validity. In addition, the procedure provides a range of plausible values…
Descriptors: Longitudinal Studies, Evaluation Methods, Test Validity, Item Analysis
Raykov, Tenko – Structural Equation Modeling: A Multidisciplinary Journal, 2005
A bias-corrected estimator of noncentrality parameters of covariance structure models is discussed. The approach represents an application of the bootstrap methodology for purposes of bias correction, and utilizes the relation between average of resample conventional noncentrality parameter estimates and their sample counterpart. The…
Descriptors: Computation, Goodness of Fit, Test Bias, Statistical Analysis
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
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