Title: Making a Difference in Science Education for Underrepresented Students: The Impact of Undergraduate Research Programs
1Making a Difference in Science Education for
Underrepresented Students The Impact of
Undergraduate Research Programs
- Kevin Eagan
- Gina Garcia
- Felisha Herrera
- Juan Garibay
- Sylvia Hurtado, Principal Investigator
- Mitchell Chang, Principal Investigator
- Higher Education Research Institute, UCLA
- 2010 AIR Annual Forum
- Chicago, Illinois
2Introduction
- Graduate enrollment in science and engineering
has been increasing - However, URM enrollment continues to lag behind
- Proportion of URMs in graduate programs during
2006-2007 academic year - American Indian 0.4
- Black 4.9
- Latina/o 3.6
- STEM completion rates remain low (esp. for URMs)
- Huang, Taddese, Walter (2000)
- Higher Education Research Institute (2010)
3Purpose
- To examine the effects of undergraduate research
programs on students intentions to enroll in
graduate school through the use of advance
statistical techniques on multi-institutional
data. - Propensity score matching
4Background
- Graduate School Enrollment
- Prior academic achievement
- Race/socioeconomic status
- Parent education
- Institutional selectivity
- Level of involvement
- Student faculty interaction
5Background
- Benefits of undergraduate research programs
Retrospective Analyses Single Time Point Longitudinal
Hurtado, Cabrera, Lin, Arellano, Espinosa (2009) Barlow Villarejo (2004) Bauer Bennett (2003) Hathaway, Nagda, Gregerman (2002) MacLachlan (2006) Lopatto (2004) Maton Hrabowski (2004) Russell, Hancock, McCullough (2007) Hunter, Laursen, Seymour (2006) Seymour, Hunter, Laursen, Deantoni (2004)
6Conceptual Framework
- Social and Cultural Capital
- Capital inherited through social position and
family background - Social capital acquired in college complements
the capital that students bring with them - Science Identity
- Fostering knowledge growth
- Opportunities to display scientific knowledge
practices - Acknowledgement of being a science person
7Research Questions
- What pre-college experiences and characteristics
of entering college students predict their
likelihood of participating in a structured
undergraduate research program during college? - After accounting for students chances of
participating in an undergraduate research
program, what effect does participation in such a
program have on students intention to enroll in
graduate/professional school, particularly in a
STEM field?
8Methods Sample
- CIRP Longitudinal Sample (n4,212)
- 2004 Freshman Survey (TFS)
- 2008 College Senior Survey (CSS)
- Targeted institutions
- Strong reputations in STEM graduation rates
- Undergraduate research programs funded by NSF and
NIH - Minority-serving institutions
9Methods Variables
- DV 3-part variable representing post-college
intentions - Enroll in graduate/professional STEM program
- Enroll in graduate/professional non-STEM program
- No intentions to pursue graduate/professional
degree - IVs
- Undergraduate research participation
- Science identity
- Career focus in 2008
- College GPA
- College experiences
- Pre-college preparation
- Demographics
- Institutional characteristics
10Methods Analyses
- Missing data
- Propensity score matching
- Discussion of the counterfactual
- Estimation of the propensity score related to
participation in an undergraduate research
program - Multinomial hierarchical generalized linear
modeling
11Methods Analyses
- Issues of selection bias/endogeneity
- Counterfactual framework
- a potential outcome, or the state of affairs
that would have happened in the absence of the
cause (Guo Fraser, 2010, p. 24) - Comparing a treated individual with a
non-treated individual - Propensity score estimation
12Methods Analyses
- Reweighting of the data with derivations of the
propensity score - Average treatment effect
- Average treatment of the untreated (ATU) effect
- Average treatment of the treated (ATT) effect
- Multinomial hierarchical generalized linear
modeling
13Limitations
- Secondary data analysis
- Limited DV intentions and combination of
graduate and professional school - Unobservable variables affecting undergraduate
research participation - Weighting adjustment using propensity score
rather than matching by propensity score
14Findings Predictors of Participating in
Undergraduate Research Programs
- Major Physical sciences (10.77), Life sciences
(7.34), Health sciences (4.90) - Race Black (5.71)
- Participated in pre-college research program
(4.03) - Degree aspiration in 2004 Ph.D. (3.54)
- Composite SAT score (100-point change) 2.27
15Findings Effects of Undergraduate Research
Program Participation on Graduate/Professional
School Enrollment Intentions
Intend to Enroll in a STEM Graduate/Professional Program Intend to Enroll in a STEM Graduate/Professional Program Intend to Enroll in a STEM Graduate/Professional Program Intend to Enroll in a STEM Graduate/Professional Program Intend to Enroll in a non-STEM Graduate/Professional Program Intend to Enroll in a non-STEM Graduate/Professional Program Intend to Enroll in a non-STEM Graduate/Professional Program Intend to Enroll in a non-STEM Graduate/Professional Program
Delta-P Log odds S.E. Sig. Delta-P Log Odds S.E. Sig.
Average treatment effect (ATE) 7.84 0.39 0.16 4.96 0.23 0.17
Average treatment for the untreated (ATU) 7.95 0.40 0.16 5.98 0.28 0.18
Average treatment for the treated (ATT) 6.91 0.34 0.15 -0.45 -0.02 0.15
Unadjusted multinomial HGLM 8.38 0.42 0.14 1.77 0.08 0.15
Simple mean comparison 13.50 1.80
16Discussion
- Confirmation of results from prior studies
- Effect is much more modest than prior studies
might suggest - UG research programs attract students who already
identify as scientists - Average treatment of the untreated (ATU) effect
- Expand the reach of these programs
- Ensure programs not only harvest talent but
develop it, too
17Conclusion and Directions for Future Research
- Follow these students into graduate school and
examine matriculation patterns - Investigate via qualitative methods the quality
of students research experiences - UG research programs as wise investments
18Contact Information
Faculty and Co-PIs Sylvia Hurtado Mitchell
Chang
Postdoctoral Scholars Kevin Eagan Josephine
Gasiewski
Administrative Staff Aaron Pearl
Graduate Research Assistants Christopher
Newman Minh Tran Jessica Sharkness
- Monica Lin
- Gina Garcia
- Felisha Herrera
- Cindy Mosqueda
- Juan Garibay
Papers and reports are available for
download from project website http//heri.ucla.e
du/nih Project e-mail herinih_at_ucla.edu
Acknowledgments 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 as well as the
National Science Foundation, NSF Grant Number
0757076. This independent research and the views
expressed here do not indicate endorsement by the
sponsors.