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Making It!... Or Not: Institutional Contexts & Biomedical Degree Attainment. Tanya Figueroa, Sylvia Hurtado, and Kevin Eagan UCLA. Association for Institutional Research May 2013 Long Beach, California . Problem . A need for one million additional STEM degrees in the next decade.
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Making It!... Or Not: Institutional Contexts & Biomedical Degree Attainment Tanya Figueroa, Sylvia Hurtado, and Kevin Eagan UCLA Association for Institutional Research May 2013 Long Beach, California
Problem • A need for one million additional STEM degrees in the next decade. • URM students more likely to leave the sciences • Despite equal initial interest in science & higher degree aspirations • Individual factors alone do not account for completion differences. • Some institutions do a better job!
Purpose • To identify the institutional and aggregate faculty characteristics that contribute to higher rates of degree completion in the biomedical sciences controlling for students’ entering characteristics
Methodology – Data Sources • 2004 CIRP Freshman Survey • aggregated student-level variables • Student degree and enrollment data from the National Student Clearinghouse • Institutional data from Integrated Postsecondary Educational Data System • 2011 Best Practices in STEM survey • Aggregate data from the 2007 & 2010 HERI Faculty Surveys
Analysis • Final Sample: 30,614 biomedical science aspirants across 296 four-year colleges and universities. • Weighted Data • Missing Data • Analysis: Multinomial HGLM (HLM software)
Dependent Variable • Three-part categorical variable measured at the 4th and 6th year: • 1) Completed a bachelor’s degree in the biomedical sciences • 2) Completed a bachelor’s degree in a field that is not in the biomedical sciences • 3) Did not complete a bachelor’s degree at all
Independent Variables – Student Level • Background characteristics • Prior preparation • Precollege experiences • Entering aspirations and expectations • Intended major
Independent Variables – Institution Level • Aggregate peer effects • Institutional characteristics: • Size, type, selectivity, HBCU/PWI/HSI • Faculty contextual measures • Best practices in STEM
Limitations • Self-reported major • No control for college experiences • Secondary data
Biomedical Science Completion versus Non-Biomedical Science Completion in the 6th year
Biomedical Science Completion versus Non-Biomedical Science Completion in the 6th year
Biomedical Science Completion versus Non-Biomedical Science Completion in the 6th year
Discussion Institutional contexts matter! • Emerging HSIs and HBCUs strong producers of biomed degrees • Large institutions weaker producers • Role of peer normative context (i.e. selectivity)
Discussion & Implications • The important role of student • Socioeconomic background • Race/ethnicity • Sex • Native language
What else matters in producing biomedical science graduates? • Faculty grading procedures • Pedagogical approach
Contact Us! Faculty/Co-PIs: Sylvia Hurtado Mitchell Chang Kevin Eagan Administrative Staff: Dominique Harrison Postdoctoral Scholars: Josephine Gasiewski Graduate Research Assistants: Tanya Figueroa Gina Garcia Juan Garibay Bryce Hughes Papers and reports are available for download from project website: http://heri.ucla.edu/nih Project e-mail: herinih@ucla.edu This study was made possible by the support of the National Institute of General Medical Sciences, NIH Grant Numbers 1 R01 GMO71968-01 and R01 GMO71968-05, the National Science Foundation, NSF Grant Number 0757076, and the American Recovery and Reinvestment Act of 2009 through the National Institute of General Medical Sciences, NIH Grant 1RC1GM090776-01. This independent research and the views expressed here do not indicate endorsement by the sponsors.