Introducing the Predictors of Black Outcomes in STEM Survey (PBOSS)

A Tool for Identifying and Cultivating STEM Talent

Bibliographic Data

ID10856162
AuthorsVinetta C Jones (Howard University, Washington, DC, USA), Kenneth Alonzo Anderson (0000-0002-1586-4747, Howard University, Washington, DC, USA, corresponding author), Mohammad Mahmood (Howard University, Washington, DC, USA), Mohammad F Mahmood (Howard University), Ayanna Johnson (Howard University, Washington, DC, USA)
Year2023
Volume58
Issue2
Pages338-358
Publication date2023-02-01
Open AccessYes
TypeARTICLE
VenueUrban Education (JOURNAL)
Journal identifiersISSN: 0042-0859 • E-ISSN: 1552-8340
PublisherSAGE Publications (PUBLISHER • US)
DOI10.1177/0042085919850245
OpenAlexW4249046738
LanguageEN
Citations received1
References cited16

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

African american · Black male · Curriculum · Mathematics education · Medical education · Pedagogy · Sociology · Career Development and Diversity · Education, Achievement, and Giftedness · Grit, Self-Efficacy, and Motivation · Medicine · Psychology

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