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Sinharay, Sandip; Puhan, Gautam; Haberman, Shelby J. – Multivariate Behavioral Research, 2010
Diagnostic scores are of increasing interest in educational testing due to their potential remedial and instructional benefit. Naturally, the number of educational tests that report diagnostic scores is on the rise, as are the number of research publications on such scores. This article provides a critical evaluation of diagnostic score reporting…
Descriptors: Educational Testing, Scores, Reports, Psychometrics
Chun, So Yeon; Shapiro, Alexander – Multivariate Behavioral Research, 2009
The noncentral chi-square approximation of the distribution of the likelihood ratio (LR) test statistic is a critical part of the methodology in structural equation modeling. Recently, it was argued by some authors that in certain situations normal distributions may give a better approximation of the distribution of the LR test statistic. The main…
Descriptors: Statistical Analysis, Structural Equation Models, Validity, Monte Carlo Methods
Yuan, Ke-Hai; Lu, Laura – Multivariate Behavioral Research, 2008
This article provides the theory and application of the 2-stage maximum likelihood (ML) procedure for structural equation modeling (SEM) with missing data. The validity of this procedure does not require the assumption of a normally distributed population. When the population is normally distributed and all missing data are missing at random…
Descriptors: Structural Equation Models, Validity, Data Analysis, Computation
Van Horn, M. Lee; Fagan, Abigail A.; Jaki, Thomas; Brown, Eric C.; Hawkins, J. David; Arthur, Michael W.; Abbott, Robert D.; Catalano, Richard F. – Multivariate Behavioral Research, 2008
There is evidence to suggest that the effects of behavioral interventions may be limited to specific types of individuals, but methods for evaluating such outcomes have not been fully developed. This study proposes the use of finite mixture models to evaluate whether interventions, and, specifically, group randomized trials, impact participants…
Descriptors: Intervention, Adolescents, Models, Behavior Problems

Krus, David J.; Weiss, David J. – Multivariate Behavioral Research, 1976
Results of empirical comparisons of an inferential model of order analysis with factor analytic models were reported for two sets of data. On the prestructured data set both order and factor analytic models returned its dimensions of length, width and height, but on the random data set the factor analytic models indicated the presence of…
Descriptors: Comparative Analysis, Data Analysis, Factor Analysis, Mathematical Models

ten Berge, Jos M. F.; Zegers, Frits E. – Multivariate Behavioral Research, 1990
Arguments by J. Levin (1988) challenging the convergence properties of the Harman and Jones (1966) method of Minres factor analysis are shown to be invalid. Claims about the invalidity of a rank-one version of the Harman and Jones method are also refuted. (TJH)
Descriptors: Algorithms, Comparative Analysis, Equations (Mathematics), Factor Analysis

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

Guilford, J. P. – Multivariate Behavioral Research, 1981
Data obtained from previously published reports of factor analyses concerning aptitudes were re-analyzed using Guilford's structure of intellect model as a theoretical basis for the re-analysis. Results provide support for the model and for its oblique nature. (Author/JKS)
Descriptors: Academic Aptitude, Factor Analysis, Intelligence, Intelligence Tests

Bagozzi, Richard P. – Multivariate Behavioral Research, 1978
The construct validity of the cognitive, affective, and behavioral components of attitudes were investigated via the analysis of covariance structures method. Results are interpreted from a cognitive consistency and learning theory perspective. (Author/JKS)
Descriptors: Analysis of Covariance, Attitude Measures, Attitudes, Family Attitudes

Byrne, Barbara M. – Multivariate Behavioral Research, 1994
Findings are reported for a cross-validated study of factorial validity and invariance of the Maslach Burnout Inventory across gender for elementary school teachers (742 males and 801 females) and secondary school teachers (659 males and 721 females). The study illustrates structural modeling methodology and use of multiple model-fitting criteria.…
Descriptors: Elementary School Teachers, Elementary Secondary Education, Factor Structure, Females