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Beyond Sectionality and Into Sizeness, or How Course Size Effects Grades: An Exploration of the Multiple‐Institution Database for Investigating Engineering Longitudinal Development Through Hierarchical Linear Models
Author(s) -
George Ricco
Publication year - 2015
Language(s) - English
Resource type - Conference proceedings
DOI - 10.18260/p.23619
Subject(s) - multilevel model , computer science , database , missing data , linear model , set (abstract data type) , data mining , statistics , mathematics , machine learning , programming language
George D. Ricco is the KEEN Program Coordinator at Gonzaga University in the School of Engineering and Applied Science. He completed his doctorate in engineering education from Purdue University’s School of Engineering Education. Previously, he received a M.S. in earth and planetary sciences studying geospatial imaging and a M.S. in physics studying high-pressure, high-temperature FT-IR spectroscopy in heavy water, both from the University of California, Santa Cruz. He holds a B.S.E. in engineering physics with a concentration in electrical engineering from Case Western Reserve University. His academic interests include longitudinal analysis, visualization, semantics, team formation, gender issues, existential phenomenology, and lagomorph physiology. He lives in romantic Spokane with his leporidae partner, Rochelle Huffington Nibblesworth.

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