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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
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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
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Undheim, Johan Olav; Gustafsson, Jan-Eric – Multivariate Behavioral Research, 1987
The hypothesis that fluid intelligence is equivalent to the factor of general intelligence is investigated using LISREL to specify higher-order models in reanalyses of three sets of psychometric data from subjects 11, 13, and 15 years old. The three studies showed fluid intelligence to be equivalent with a general factor. (LMO)
Descriptors: Cognitive Ability, Elementary Secondary Education, Factor Analysis, Foreign Countries
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Fitzgerald, Joseph M.; Mellor, Steven – Multivariate Behavioral Research, 1988
The replication, with 192 adults, of research concerning implicit intelligence theories suggested a simpler model of implicit theories than that proposed by R. I. Sternberg et al (1981). Using a sorting procedure, a second study (N=88 undergraduates) showed that people distinguish intelligent and unintelligent behaviors without distinguishing…
Descriptors: Adults, Attitude Measures, Behavior Theories, Community Attitudes
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Roskam, Edward E.; And Others – Multivariate Behavioral Research, 1992
First- and second-round commentaries on an article by L. Guttman are presented. The following authors responded, with two articles each: (1) E. E. Roskam and J. Ellis; (2) P. H. Schonemann; (3) A. R. Jensen; (4) J. C. Loehlin; and (5) J.-E. Gustafsson. (SLD)
Descriptors: Factor Analysis, Groups, Intelligence, Mathematical Models
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Marjoribanks, Kevin – Multivariate Behavioral Research, 1976
By using complex multiple regression models to generate regression surfaces, the relationships between academic achievement, creativity, and intelligence are examined. Findings indicate that for certain academic subjects creativity is related to achievement up to a threshold level of intelligence, but after the threshold has been reached…
Descriptors: Academic Achievement, Creativity, Intelligence, Junior High School Students
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Tomer, Adrian; Cunningham, Walter R. – Multivariate Behavioral Research, 1993
Structure of measures of speed was studied by conducting simultaneous confirmatory factor analysis for 1 sample of 149 elderly adults and a sample of 147 young adults using 16 measures of speed. Five first-order factors of speed were found, as hypothesized, and three second-order speed factors were necessary. (SLD)
Descriptors: Age Differences, Cognitive Processes, Comparative Analysis, Factor Structure
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Guttman, Louis – Multivariate Behavioral Research, 1992
Argues that Jensen's article contains an inaccurate and misleading account of Spearman's work and distorts the basic concepts of factor analysis. The target article has failed in all its main objectives; its major failing is a result of the irrelevance of factor analysis to the study of group differences. (SLD)
Descriptors: Blacks, Equations (Mathematics), Factor Analysis, Groups