The STEM Selfing Process: Nondigital and Digital Determinants of Aspirational STEM Futures.

This article takes a fresh approach to analyzing the nondigital and digital sources of STEM (science, technology, engineering, and math) intent among low–socioeconomic status (SES) high school students attending a Title I public high school in agricultural California. Through a hybrid quantitative–q...

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Bibliographic Details

Published in:	American Behavioral Scientist Vol. 64; no. 7; pp. 950 - 973
Main Author:	Robinson, Laura
Format:	Article
Published:	Sage Publications Inc. Jun2020
Subjects:	California High school students High school seniors Computer programming Logistic regression analysis Regression analysis
Online Access:	View this record in EBSCOhost