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Bart, William M.; Palvia, Rajkumari – 1983
In previous research, no relationship was found between test factor structure and test hierarchical structure. This study found some correspondence between test factor structure and test inter-item dependency structure, as measured by a log-linear model. There was an inconsistency, however, which warrants further study: more significant two-item…
Descriptors: Factor Structure, Interaction, Latent Trait Theory, Mathematical Models
Plake, Barbara S.; And Others – 1983
A confirmatory factor analysis was used to determine the respective viability of factor structure models for the Wechsler Adult Intelligence Scale-Revised (WAIS-R) standardization data. The traditional verbal-performance split was compared to an alternative model proposed by Gutkin, Reynolds and Galvin. The confirmatory analysis indicated that the…
Descriptors: Adults, Factor Analysis, Factor Structure, Goodness of Fit
Doody, Evelyn N. – 1985
The effects of varying degrees of correlation between abilities and of various correlation configurations between item parameters on ability and item parameter estimation using the three parameter logistic model were examined. Ten two-trait configurations and one unidimensional test configuration for 30 item tests were simulated. Each…
Descriptors: Computer Simulation, Estimation (Mathematics), Factor Structure, Item Analysis
McKinley, Robert L.; Reckase, Mark D. – 1984
To assess the effects of correlated abilities on test characteristics, and to explore the effects of correlated abilities on the use of a multidimensional item response theory model which does not explicitly account for such a correlation, two tests were constructed. One had two relatively unidimensional subsets of items, the other had all…
Descriptors: Ability, Correlation, Factor Structure, Item Analysis
Wothke, Werner – 1987
Several multivariate statistical methodologies have been proposed to ensure objective and quantitative evaluation of the multitrait-multimethod matrix. The paper examines the performance of confirmatory factor analysis and covariance component models. It is shown, both empirically and formally, that confirmatory factor analysis is not a reliable…
Descriptors: Analysis of Covariance, Correlation, Estimation (Mathematics), Factor Analysis
Lawrence, Ida M.; Dorans, Neil J. – 1987
Six editions of Scholastic Aptitude Test-Mathematical (SAT-M) were factor analyzed using confirmatory and exploratory methods. Confirmatory factor analyses (using the LISREL VI program) were conducted on correlation matrices among item parcels--sums of scores on a small subset of items. Item parcels were constructed to yield correlation matrices…
Descriptors: College Entrance Examinations, Factor Analysis, Factor Structure, Guessing (Tests)
McMurray, Mary Anne – 1987
This paper illustrates the transformation of a raw data matrix into a matrix of associations, and then into a factor matrix. Factor analysis attempts to distill the most important relationships among a set of variables, thereby permitting some theoretical simplification. In this heuristic data, a correlation matrix was derived to display…
Descriptors: Correlation, Factor Analysis, Factor Structure, Goodness of Fit
Thompson, Bruce; Borrello, Gloria M. – 1987
Attitude measures frequently produce distributions of item scores that attenuate interitem correlations and thus also distort findings regarding the factor structure underlying the items. An actual data set involving 260 adult subjects' responses to 55 items on the Love Relationships Scale is employed to illustrate empirical methods for…
Descriptors: Adults, Analysis of Covariance, Attitude Measures, Correlation
Yarnold, Paul R.; And Others – 1985
This paper reports on a short version of the Student Jenkins Activity Survey (JAS), a multiple choice questionnaire that measures Type A "coronary-prone" behavior in assessing subjects' A/B types. The primary objective was to determine if the short and long forms of the student JAS represent similar measurement instruments. A secondary…
Descriptors: Behavior Rating Scales, College Students, Comparative Testing, Factor Analysis