EXPOSURE Insights Methodology

This page provides a detailed description of the methodology implemented to construct
our Exposure insights.

Demographics

30% Black, Afro-Caribbean, or African American

30% Latino or Hispanic American

13% South Asian or Indian American

11% East Asian or Asian American

6% Non-Hispanic White or Euro-American


62% of Respondents identify as female
37% of Respondents identify as male


68% are Federal Pell Grant recipients

75% are First-gen college students

78% New York-based students

20% are CUNY students

Frequently Asked Questions

What other candidate variables were tested to see if they indicated successful job search outcomes as significantly as Exposure?

  • Internship experience

  • Industry of interest

  • Self-confidence in interest

  • Strength of reasoning for interest

  • Financial responsibility

  • Major

  • GPA

  • Presence of resume review

What analytic methodology was used to generate these insights?

The data used to generate these insights was collected with Basta’s Career Readiness Diagnostic between July 2020 and December 2021 from 2,691 individuals. The data was extracted, cleaned, and analyzed using R Software with R Studio as our chosen IDE. Industry-standard analytic packages like Dplyr were used to structure the data and leverage pre-built functions to compute odds ratios between variables and output descriptive statistics. Insights that were publicly released are statistically significant and have an effect size to warrant inclusion.

Glossary