[gov3009-l] 10/23 Applied Stats: Cassandra Pattanayak
danahiggins at fas.harvard.edu
Mon Oct 23 12:20:32 EDT 2017
This week at the Applied Statistics Workshop we will be welcoming *Cassandra
Pattanayak*, Director of the Quantitative Analysis Institute and lecturer
at Wellesley College. She will be presenting work entitled *Effects of
Mentors and Advisors on Major Choice: A Naturally Re-Randomized Experiment
and a Subclassified Observational Study*. Please find the abstract below
and on the Applied Stats website here
As usual, we will meet at noon in CGIS Knafel Room 354 and lunch will be
provided. See you all there!
-- Dana Higgins
*Title:* *Effects of Mentors and Advisors on Major Choice: A Naturally
Re-Randomized Experiment and a Subclassified Observational Study*
*Co-authored with Kelly Kung (Boston University)*
*Abstract:* We examine the effects of a peer mentor’s major and faculty
advisor’s department on a student’s choice of major at a liberal arts
women’s college. In particular, we study whether assignment to a peer
mentor or faculty advisor from STEM v. non-STEM fields during the first
year of college influences students’ choice to major in STEM v. non-STEM.
Our approach to the mentoring component illustrates a novel application of
rerandomization techniques to a natural experiment. The advising component
is an observational study designed for causal inference via
subclassification. Students’ STEM v. non-STEM choices did not appear to be
affected by the STEM status of first year peer mentors or faculty advisors
at this college.
-------------- next part --------------
An HTML attachment was scrubbed...
More information about the gov3009-l