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Raykov, Tenko; Dimitrov, Dimiter M.; Marcoulides, George A.; Li, Tatyana; Menold, Natalja – Educational and Psychological Measurement, 2018

A latent variable modeling method for studying measurement invariance when evaluating latent constructs with multiple binary or binary scored items with no guessing is outlined. The approach extends the continuous indicator procedure described by Raykov and colleagues, utilizes similarly the false discovery rate approach to multiple testing, and…

Descriptors: Models, Statistical Analysis, Error of Measurement, Test Bias

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

Raykov, Tenko; Goldammer, Philippe; Marcoulides, George A.; Li, Tatyana; Menold, Natalja – Educational and Psychological Measurement, 2018

A readily applicable procedure is discussed that allows evaluation of the discrepancy between the popular coefficient alpha and the reliability coefficient of a scale with second-order factorial structure that is frequently of relevance in empirical educational and psychological research. The approach is developed within the framework of the…

Descriptors: Test Reliability, Factor Structure, Statistical Analysis, Computation

Raykov, Tenko; Marcoulides, George A.; Akaeze, Hope O. – Educational and Psychological Measurement, 2017

This note is concerned with examining the relationship between within-group and between-group variances in two-level nested designs. A latent variable modeling approach is outlined that permits point and interval estimation of their ratio and allows their comparison in a multilevel study. The procedure can also be used to test various hypotheses…

Descriptors: Comparative Analysis, Models, Statistical Analysis, Hierarchical Linear Modeling

Menold, Natalja; Raykov, Tenko – Educational and Psychological Measurement, 2016

This article examines the possible dependency of composite reliability on presentation format of the elements of a multi-item measuring instrument. Using empirical data and a recent method for interval estimation of group differences in reliability, we demonstrate that the reliability of an instrument need not be the same when polarity of the…

Descriptors: Test Reliability, Test Format, Test Items, Differences

Raykov, Tenko; Marcoulides, George A.; Tong, Bing – Educational and Psychological Measurement, 2016

A latent variable modeling procedure is discussed that can be used to test if two or more homogeneous multicomponent instruments with distinct components are measuring the same underlying construct. The method is widely applicable in scale construction and development research and can also be of special interest in construct validation studies.…

Descriptors: Models, Statistical Analysis, Measurement Techniques, Factor Analysis

Raykov, Tenko; Marcoulides, George A. – Educational and Psychological Measurement, 2015

A latent variable modeling procedure that can be used to evaluate intraclass correlation coefficients in two-level settings with discrete response variables is discussed. The approach is readily applied when the purpose is to furnish confidence intervals at prespecified confidence levels for these coefficients in setups with binary or ordinal…

Descriptors: Correlation, Computation, Statistical Analysis, Hierarchical Linear Modeling

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

Raykov, Tenko; Marcoulides, George A. – Educational and Psychological Measurement, 2014

This research note contributes to the discussion of methods that can be used to identify useful auxiliary variables for analyses of incomplete data sets. A latent variable approach is discussed, which is helpful in finding auxiliary variables with the property that if included in subsequent maximum likelihood analyses they may enhance considerably…

Descriptors: Data Analysis, Identification, Maximum Likelihood Statistics, Statistical Analysis

Raykov, Tenko; Marcoulides, George A.; Millsap, Roger E. – Educational and Psychological Measurement, 2013

A multiple testing method for examining factorial invariance for latent constructs evaluated by multiple indicators in distinct populations is outlined. The procedure is based on the false discovery rate concept and multiple individual restriction tests and resolves general limitations of a popular factorial invariance testing approach. The…

Descriptors: Testing, Statistical Analysis, Factor Analysis, Statistical Significance

Raykov, Tenko; Pohl, Steffi – Educational and Psychological Measurement, 2013

A procedure for examining essential unidimensionality in multicomponent measuring instruments is discussed. The method is based on an application of latent variable modeling and is concerned with the extent to which a common factor for all components of a given scale accounts for their correlations. The approach provides point and interval…

Descriptors: Measures (Individuals), Statistical Analysis, Factor Structure, Correlation

Raykov, Tenko; Pohl, Steffi – Educational and Psychological Measurement, 2013

A method for examining common factor variance in multiple-component measuring instruments is outlined. The procedure is based on an application of the latent variable modeling methodology and is concerned with evaluating observed variance explained by a global factor and by one or more additional component-specific factors. The approach furnishes…

Descriptors: Statistical Analysis, Factor Structure, Scores, Models

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; 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

Raykov, Tenko – Educational and Psychological Measurement, 2012

A latent variable modeling approach that permits estimation of propensity scores in observational studies containing fallible independent variables is outlined, with subsequent examination of treatment effect. When at least one covariate is measured with error, it is indicated that the conventional propensity score need not possess the desirable…

Descriptors: Computation, Probability, Error of Measurement, Observation

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