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Bifactor Models to Improve Theoretical and Analytical Precision and the Opportunity to Study Motivational Processes

Thu, April 21, 8:00 to 9:30am PDT (8:00 to 9:30am PDT), Marriott Marquis San Diego Marina, Floor: North Building, Lobby Level, Marriott Grand Ballroom 4

Session Type: Symposium

Abstract

This symposium is designed to broaden awareness about the potential that bifactor modeling may provide to motivation researchers who wish to model data in ways that more closely align to theories of motivation, improve the fit of their models to their data, and provide opportunities to consider more precise solutions when applying methods such as latent profile analysis. Papers demonstrate how bifactor modeling of the general and specific components of learners’ expectancies, values, and costs, achievement goals, and interests inform nuanced analyses and produce novel findings that advance the study of science and mathematics learning, learning in informal contexts, teachers’ motivation, and teaching quality. Discussion focuses on critical but constructive appraisal of methods and key considerations when applying bifactor models.

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