A large-scale quantitative study of women in computer science at Stanford University

  • Authors:
  • Katie Redmond;Sarah Evans;Mehran Sahami

  • Affiliations:
  • Stanford University, Stanford, CA, USA;Stanford University, Stanford, CA, USA;Stanford University, Stanford, CA, USA

  • Venue:
  • Proceeding of the 44th ACM technical symposium on Computer science education
  • Year:
  • 2013

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Abstract

In this paper, we analyze gender dynamics in the undergraduate Computer Science program at Stanford University through a quantitative analysis of 7209 academic transcripts and 536 survey responses. We examine previously studied effects as well as present new findings. We also introduce Fisher's Noncentral Hypergeometric Distribution as a model for estimating the impact of program changes on underrepresented populations and explain why it is a more robust measure than changes in the percentage of minority participants.