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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

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
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

Thorndike, Robert M. – Multivariate Behavioral Research, 1976
In their Monte Carlo study of canonical analysis, Barcikowski and Stevens evaluated the relative stability of canonical weights and loadings. This paper identifies some weaknesses in their study, suggests directions for future research in this area, and discusses interpretation of canonical analysis both in development and in cross-validation. For…
Descriptors: Correlation, Measurement Techniques, Monte Carlo Methods, Multivariate Analysis

Barcikowski, Robert S.; Stevens, James P. – Multivariate Behavioral Research, 1976
This article is a rejoinder to TM 502 249. Each of Thorndike's comments are examined. A possible solution to the large number of subjects necessary for stable weights and variate-variable correlations using ridge regression procedures is suggested. (RC)
Descriptors: Correlation, Measurement Techniques, Monte Carlo Methods, Multivariate Analysis
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

Golding, Stephen L.; Knudson, Roger M. – Multivariate Behavioral Research, 1975
Subjects participated in a multivariable-multimethod investigation and completed a variety of self-report assessment devices, direct self ratings, and peer ratings. Substantial convergence for three dimensions of interpersonal behavior, Agressive Dominance, Affiliation-Sociability, and Autonomy, was obtained across all modes of measurement.…
Descriptors: Factor Structure, High School Students, Interpersonal Relationship, Peer Groups

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

Fleming, James S.; De Avila, Edward A. – Multivariate Behavioral Research, 1980
Two tests of cognitive development, the Cartoon Conservation Scales, Levels I and II, were designed to measure Piagetian stage-related constructs for children of different age groups. The tests were factor analyzed within age levels and were also analyzed using scalogram and tabular methods to test sequential hypotheses. (Author/CTM)
Descriptors: Cartoons, Cognitive Development, Cognitive Tests, Conservation (Concept)