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This document describes a binomial mixture model used to model the number of credits earned by university freshmen in their first year. A binomial mixture model is appropriate as credits are a bounded count variable. The model includes concomitant variables to investigate how student characteristics and pre-enrollment test scores predict credits earned. Results are presented through tables and graphs to summarize the effects of covariates on component probabilities and expected credits for different student

Author

Fabian Moss

Language

EN