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Raykov, Tenko – Structural Equation Modeling: A Multidisciplinary Journal, 2011
This article is concerned with the question of whether the missing data mechanism routinely referred to as missing completely at random (MCAR) is statistically examinable via a test for lack of distributional differences between groups with observed and missing data, and related consequences. A discussion is initially provided, from a formal logic…
Descriptors: Data Analysis, Statistical Analysis, Probability, Structural Equation Models
Traynor, Anne; Raykov, Tenko – Comparative Education Review, 2013
In international achievement studies, questionnaires typically ask about the presence of particular household assets in students' homes. Responses to the assets questions are used to compute a total score, which is intended to represent household wealth in models of test performance. This study uses item analysis and confirmatory factor analysis…
Descriptors: Secondary School Students, Academic Achievement, Validity, Psychometrics
Raykov, Tenko – Structural Equation Modeling: A Multidisciplinary Journal, 2006
A structural equation modeling based method is outlined that accomplishes interval estimation of individual optimal scores resulting from multiple-component measuring instruments evaluating single underlying latent dimensions. The procedure capitalizes on the linear combination of a prespecified set of measures that is associated with maximal…
Descriptors: Scores, Structural Equation Models, Reliability, Validity

Dimitrov, Dimiter M.; Raykov, Tenko – Multivariate Behavioral Research, 2003
Presents a validation procedure for cognitive structures that is based on structural equation modeling of cognitive subordination relationships among test items. Illustrates the method using scores of 278 ninth graders on an algebra test and shows results for the same test when the linear logistic test model is used. (SLD)
Descriptors: High School Students, High Schools, Scores, Structural Equation Models