Nonparametric Survival Analysis of the Loss Rate of Undergraduate Engineering Students

By Y. Min, Guili Zhang, Russell A. Long, T. Anderson, Matthew W. Ohland. 2011

149 citations recorded by the source corpus.

As presented by Willet and Singer (1991), survival analysis can sensitively reveal rich information about when students leave their majors. Although survival analysis has been used to investigate student and faculty retention, it has not been applied to undergraduate engineering student retention.

Subfields: Education, Public Health, Environmental and Occupational Health, Safety Research

View Paper: https://www.semanticscholar.org/paper/23197eab34e2384b86bb2098020b664a1a39220a

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1. Allison Godwin
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Citations in the corpus

• Spatial Thinking and STEM Education. When, Why, and How? (2012, background): “Moreover, a survival curve analysis of dropout and persistence in engineering indicates that dropout is most likely to occur in or around the third semester (Min et al., 2011).”
• Identity, Critical Agency, and Engineering: An Affective Model for Predicting Engineering as a Career Choice (2016, background): “Although prior research has documented student persistence and attrition in engineering majors across the college years (Cech & Waidzunas, 2011; Marra, Rodgers, Shen, & Bogue, 2012; Min et al., 2011), students’ choice of engineering as a career while in high school is not well understood.”