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Suziedelis, Antanas; And Others – Multivariate Behavioral Research, 1976
A method of typological analysis was applied to computer-generated 96-item questionnaire data for 100 cases, under a variety of conditions to analyze both the item-level and score-level. The results showed a considerable advantage of score-level approach in the number, size, and replicability of clusters recovered. (DEP)
Descriptors: Classification, Cluster Analysis, Cluster Grouping, Comparative Analysis
Gray, William M.; Hofmann, Richard J. – 1969
Most responses to educational and psychological test items may be represented in binary form. However, such dichotomously scored items present special problems when an analysis of correlational interrelationships among the items is attempted. Two general methods of analyzing binary data are proposed by Horst to partial out the effects of…
Descriptors: Algorithms, Analysis of Covariance, Cluster Analysis, Cluster Grouping
Hunter, John E.; Gerbing, David W. – 1979
Confirmatory factor analysis is presented as providing appropriate techniques for the analysis and evaluation of questionnaires and tests if the content of the measure can be identified as consisting of groups of items, with each group measuring only a single trait. This approach is contrasted with latent trait theory which assumes (and does not…
Descriptors: Cluster Analysis, Cluster Grouping, Cognitive Measurement, Factor Analysis
Sirotnik, Kenneth A. – 1979
This report contains accounts of studies, about scales to be used in the "A Study of Schooling" research project, undertaken to derive indices for constructs presumed to be measureable by composites of items. The report is introduced by a discussion on the rationale for selecting the research methodology used and an explanation of the…
Descriptors: Behavioral Science Research, Cluster Analysis, Cluster Grouping, Correlation