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Raykov, Tenko; DiStefano, Christine; Calvocoressi, Lisa; Volker, Martin – Educational and Psychological Measurement, 2022
A class of effect size indices are discussed that evaluate the degree to which two nested confirmatory factor analysis models differ from each other in terms of fit to a set of observed variables. These descriptive effect measures can be used to quantify the impact of parameter restrictions imposed in an initially considered model and are free…
Descriptors: Effect Size, Models, Measurement Techniques, Factor Analysis
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Marcoulides, Katerina M.; Raykov, Tenko – Educational and Psychological Measurement, 2019
A procedure that can be used to evaluate the variance inflation factors and tolerance indices in linear regression models is discussed. The method permits both point and interval estimation of these factors and indices associated with explanatory variables considered for inclusion in a regression model. The approach makes use of popular latent…
Descriptors: Regression (Statistics), Statistical Analysis, Computation, Computer Software
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Raykov, Tenko; Pusic, Martin – Educational and Psychological Measurement, 2023
This note is concerned with evaluation of location parameters for polytomous items in multiple-component measuring instruments. A point and interval estimation procedure for these parameters is outlined that is developed within the framework of latent variable modeling. The method permits educational, behavioral, biomedical, and marketing…
Descriptors: Item Analysis, Measurement Techniques, Computer Software, Intervals
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Raykov, Tenko; Marcoulides, George A. – Educational and Psychological Measurement, 2018
This article outlines a procedure for examining the degree to which a common factor may be dominating additional factors in a multicomponent measuring instrument consisting of binary items. The procedure rests on an application of the latent variable modeling methodology and accounts for the discrete nature of the manifest indicators. The method…
Descriptors: Measurement Techniques, Factor Analysis, Item Response Theory, Likert Scales
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Raykov, Tenko; Marcoulides, George A. – Educational and Psychological Measurement, 2015
A direct approach to point and interval estimation of Cronbach's coefficient alpha for multiple component measuring instruments is outlined. The procedure is based on a latent variable modeling application with widely circulated software. As a by-product, using sample data the method permits ascertaining whether the population discrepancy…
Descriptors: Computation, Statistical Analysis, Reliability, Models
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Raykov, Tenko; Marcoulides, George A.; Lee, Chun-Lung; Chang, Chi – Educational and Psychological Measurement, 2013
This note is concerned with a latent variable modeling approach for the study of differential item functioning in a multigroup setting. A multiple-testing procedure that can be used to evaluate group differences in response probabilities on individual items is discussed. The method is readily employed when the aim is also to locate possible…
Descriptors: Test Bias, Statistical Analysis, Models, Hypothesis Testing
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Raykov, Tenko; Marcoulides, George A. – Structural Equation Modeling: A Multidisciplinary Journal, 2011
A directly applicable latent variable modeling procedure for classical item analysis is outlined. The method allows one to point and interval estimate item difficulty, item correlations, and item-total correlations for composites consisting of categorical items. The approach is readily employed in empirical research and as a by-product permits…
Descriptors: Item Analysis, Evaluation, Correlation, Test Items
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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