A Flawed Policy Metaphor: An Empirical Test of Earlier Academic Promise and Later STEM Outcomes

Purpose: Although the science, technology, engineering, and math (STEM) pipeline has been the most common policy framework to understand why ethnoracial disparities are some of the most glaring, few studies have empirically assessed whether the relationship between early academic preparation, such as for standardized tests, grades, and coursework, and later outcomes is the same across racial/ethnic groups. Research Methods/Approach: This study used administrative data from New York City, the largest, most diverse school district in the United States, and used descriptive alluvial plots and regression decomposition analyses. Findings: We find that STEM middle school-to-college pathways vary dramatically by ethnic groups within racial categories. Moreover, disparities in earlier test scores, high school diploma type, and school characteristics only explain why White English-speaking students major in STEM (in both 4- and 2-year institutions). Implications: The results of this study call into question policies that support a “one size fits all” argument that fostering earlier test scores can equalize access to STEM.

Authors

Institutions

Publication Details

Journal
American Journal of Education
Published
2024-10-02
DOI
https://doi.org/10.1086/732393
Primary Topic
Career Development and Diversity
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A Flawed Policy Metaphor: An Empirical Test of Earlier Academic Promise and Later STEM Outcomes

Amy Hsin, Sumie Okazaki, Hua‐Yu Sebastian Cherng, Okhee Lee et al.
American Journal of Education
Career Development and Diversity
article

A Flawed Policy Metaphor: An Empirical Test of Earlier Academic Promise and Later STEM Outcomes

Amy Hsin, Sumie Okazaki, Hua‐Yu Sebastian Cherng, Okhee Lee, Martha Lucia Ortíz-Moreno, Timothy J. Carroll, Stella M. Flores
article en

Abstract

Purpose: Although the science, technology, engineering, and math (STEM) pipeline has been the most common policy framework to understand why ethnoracial disparities are some of the most glaring, few studies have empirically assessed whether the relationship between early academic preparation, such as for standardized tests, grades, and coursework, and later outcomes is the same across racial/ethnic groups. Research Methods/Approach: This study used administrative data from New York City, the largest, most diverse school district in the United States, and used descriptive alluvial plots and regression decomposition analyses. Findings: We find that STEM middle school-to-college pathways vary dramatically by ethnic groups within racial categories. Moreover, disparities in earlier test scores, high school diploma type, and school characteristics only explain why White English-speaking students major in STEM (in both 4- and 2-year institutions). Implications: The results of this study call into question policies that support a “one size fits all” argument that fostering earlier test scores can equalize access to STEM.

American Journal of EducationVol. 131(1)
Queens University of Charlotte (US), New York University (US), The University of Texas at Austin (US)
Openalex Percentile: Top 80%
Career Development and Diversity
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.