Introducing the Predictors of Black Outcomes in STEM Survey (PBOSS): A Tool for Identifying and Cultivating STEM Talent

Abstract

In this article, we review factors that are associated with science, technology, engineering, and mathematics (STEM) achievement and describe the development of the Predictors of Black Outcomes in STEM Survey (PBOSS). We retain a well-fitted three-factor model (engagement, continuity, and guiding functions) and find that the PBOSS scores are useful in predicting STEM outcomes. These outcomes include the likelihood of selecting a STEM major and levels of enrolled mathematics courses in college for Black male and female students. The PBOSS provides a useful tool for identifying and cultivating STEM talent as well as opportunities to improve STEM-related curriculum experiences in urban and other educational settings.

Keywords

scale construction Black females subjects Black males historically Black colleges urban education science mathematics identity

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