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Enhancing Precision in the Generalized Graded Unfolding Model (GGUM) Using Multiple Responses

Fri, April 12, 11:25am to 12:25pm, Convention Center, Floor: Fourth, Terrace Ballroom IV

Abstract

This research presents a hybrid model combining the GGUM and method of successive intervals (MSI) in order to reduce sample size demands of the GGUM. Both real and simulated data are employed to validate the efficiency and applicability of this hybrid model in evaluating non-cognitive psychological constructs.

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