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Heausler, Nancy L. – 1987
Each of the four classic multivariate analysis of variance (MANOVA) tests of statistical significance may lead a researcher to different decisions as to whether a null hypothesis should be rejected: (1) Wilks' lambda; (2) Lawley-Hotelling trace criterion; (3) Roy's greatest characteristic root criterion; and (4) Pillai's trace criterion. These…
Descriptors: Analysis of Variance, Discriminant Analysis, Factor Analysis, Hypothesis Testing
Peer reviewed Peer reviewed
Humphreys, Lloyd G.; Park, Randolph K. – Intelligence, 1981
The "factor" analyses published by Schultz, Kaye, and Hoyer (1980) confused component and factor analysis and led to unwarranted conclusions. The principal factors method yields two factors which support the a priori expectation of a difference between intelligence tasks and spontaneous flexibility tasks. (Author/RD)
Descriptors: Analysis of Covariance, Analysis of Variance, Factor Analysis, Factor Structure
Broadbooks, Wendy J.; Elmore, Patricia B. – 1983
This study developed and investigated an empirical sampling distribution of the congruence coefficient. The effects of sample size, number of variables, and population value of the congruence coefficient on the sampling distribution of the congruence coefficient were examined. Sample data were generated on the basis of the common factor model and…
Descriptors: Factor Analysis, Goodness of Fit, Hypothesis Testing, Research Methodology
Kristof, Walter – 1972
We are concerned with the hypothesis that two variables have a perfect disattenuated correlation, hence measure the same trait except for errors of measurement. This hypothesis is equivalent to saying, within the adopted model, that true scores of two psychological tests satisfy a linear relation. A statistical test of this hypothesis is derived…
Descriptors: Correlation, Error of Measurement, Factor Analysis, Hypothesis Testing
Peer reviewed Peer reviewed
Ofir, Chezy; And Others – Multivariate Behavioral Research, 1987
Three frequently used response formats are compared via analysis of covariance structures. The cumulative results based on four data sets provided evidence inconsistent with previous research suggesting that these formats are interchangeable. The semantic-differential format is most preferred while in most cases the Stapel format is least…
Descriptors: Analysis of Covariance, Factor Analysis, Hypothesis Testing, Mathematical Models
Peer reviewed Peer reviewed
Hanna, Gila; Lei, Hau – Journal of Educational Statistics, 1985
The Lisrel-model with structured means was used to study similarities and differences in the development of mathematical ability between two student groups as measured by two tests on three successive occasions. Procedures for testing models to assess the contribution on an individual parameter to the goodness of fit are described. (Author/BS)
Descriptors: Academic Ability, Factor Analysis, Foreign Countries, Goodness of Fit
Marsh, Herbert W.; Balla, John R. – 1986
This investigation examined the influence of sample size on different goodness-of-fit indices used in confirmatory factor analysis (CFA). The first two data sets were derived from large normative samples of responses to a multidimensional self-concept instrument and to a multidimensional instrument used to assess students' evaluations of teaching…
Descriptors: Analysis of Variance, Elementary Secondary Education, Factor Analysis, Goodness of Fit