Abstract
This study uses primary empirical data to better understand women's reasons for leaving undergraduate computer science and computer engineering education programs. It draws on social control theory to integrate student perspectives with structural considerations, demonstrating how secondhand knowledge of comparatively infrequent negative experiences achieves substantial immediacy and veracity among women students en masse, thereby contributing to increased attrition.
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