MULTIPLE SCALING: MULTIDIMENSIONAL MEASUREMENT IN BEHAVIORAL SYSTEMS
Course Description
The structure of a behavioral system may be such that its measurement requires more than a single scale for its meaningful measurement. This course systematically presents the logical foundations of multiple scaling by partial order scalogram analysis by coordinates (POSAC) and its application to diverse fields such as artificial intelligence, neurobiology, attitude research and other behavioral domains. The possibilities of multiple scaling configurations to model behavioral processes are also discussed.
Bibliography
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Kedar, Y. & Shye, S. (2015). The measurement of distributive justice attitudes: Multiple Scaling by POSAC. Proceedings of the 15th International Facet Theory Conference, (pp. 96-105). New York, August 2015. Link to proceedings: https://fordham.bepress.com/cgi/viewcontent.cgi?referer=&httpsredir=1&article=1012&context=ftc
Shye, S. (2009). Partial order Scalogram analysis by coordinates (POSAC) as a facet theory measurement procedure: How to do POSAC in four simple steps. In A. Cohen (Ed.), Facet theory and scaling: In search for structure in behavioral and social sciences (295-310). ISBN 978-965-7473-00-9.
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