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The mismeasurement of STEM: evidence from college course classifications
Working paper   Open access

The mismeasurement of STEM: evidence from college course classifications

Daniel Douglas, Hal Salzman, Khudodod Khudododov and Daniyal Rahmin
Rutgers University
2023
DOI:
https://doi.org/10.7282/00000318

Abstract

STEM workforce Economic Policy Educational Administration and Policy Higher Education STEM Education Sociology Education Standard Reference Data
STEM acronymically refers to four areas of inquiry – Science, Technology, Engineering, and Mathematics. But as its use has become ubiquitous, STEM has taken on social and political meaning far beyond the sum of its component parts. In this paper, we take a first step in clarifying the analytic categories of STEM in education. This, we propose, is a necessary first building block for STEM analysis – to understand what constitutes STEM coursework, the constituent element of a STEM education. We first review the STEM definitional problems we have identified in the process of examining two sets of NCES nationally-representative data, provide analysis of the extent of potential mismeasurement, and estimates of impact. We then outline an approach to resolving the mismeasurement problems in nationally-representative postsecondary student surveys.
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