School rank shows little correlation with percentage of women CS graduates (r = -0.36), suggesting prestige does not explain the complexity–representation relationship¶

Claim · All claims
Evidence · 1 study · associational r2 · q2 · i2 medium
Currency · no dated study recorded · not yet checked against its sources · not reviewed by a person

Subclaims¶

q2 i2 A correlation test across all 60 programs between school rank and percentage of women produced a correlation coefficient of -0.36, which the authors describe as indicating little correlation. → Albert Lionelle 2024

Evidence¶

Albert Lionelle 2024¶

Albert Lionelle, McKenna Quam, Carla Brodley, and Catherine Gill. 2024. Does Curricular Complexity in Computer Science Influence the Representation of Women CS Graduates?. In Proceedings of the 55th ACM Technical Symposium on Computer Science Education V. 1 (SIGCSE 2024). https://doi.org/10.1145/3626252.3630835

q2 · i2 · associational · r2

Threat-to-validity analysis addressing whether higher-ranked schools' greater representation of women explains the findings. The correlation test produced a printed effect size of r = -0.36, which the authors call "little correlation"; nine of 20 Group 1 schools were top-twenty in US News CS Rankings.

"A correlation test across all 60 programs between school rank and percentage of women produced a -0.36 correlation coefficient indicating little correlation."

Discussion¶

Related Claims¶

• Programs with higher representation of women require a smaller share of core CS credits (26% vs 33%) and offer more flexibility
• Blocking factors of CS 1 and CS 2 differ significantly across women-representation groups, with lower-blocking programs having higher representation of women
• CS programs with higher structural curricular complexity have lower representation of women graduates (ANOVA across three representation groups) — related
• Required CS credits and math credits do not differ significantly across women-representation groups — related