Browsing by Author "Bart, William M."
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Item An empirical inquiry into the relationship between test factor structure and test hierarchical structure(1978) Bart, William M.This study investigated whether or not test factor structure indicates something about the test hierarchical structure. Two sets of items were located such that one set of items was found to have basically a two-factor structure. Two different methods were used to establish the factor structures. These sets of item data were then analyzed with a refined ordering-theoretic method to determine item hierarchies. No hierarchy structure was found for either set of items. Thus, it is suggested that test factor structure tells little, if anything, about test hierarchical structure. A search for the theoretical bases for these discrepancies is recommended.Item The hierarchical structure of formal operational tasks(1979) Bart, William M.; Mertens, Donna M.The hierarchical structure of the formal operational period of Piaget’s theory of cognitive development was explored through the application of ordering theoretic methods to a set of data that systematically tapped the various formal operational schemes. The results suggest that the tasks within some schemes are empirically equivalent. While the response patterns were quite varied, the results do suggest that some common structure may underlie performance on the tasks, thus supporting Piaget’s notion of the integrative structure of the period.Item Relationships among test factor structure, test hierarchical structure, and test inter-item dependency structure(1984) Bart, William M.; Palvia, RajkumariIn 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 interactions were found for the set of items that had been found to be most heterogeneous by latent trait techniques, rather than for the more homogeneous set of items.