Factors Associated With Persistence in Science and Engineering Majors: An Exploratory Study Using Classification Trees and Random Forests

By Guillermo Mendez, Trent Buskirk, Sharon L. Lohr, Susan Haag. 2008

115 citations recorded by the source corpus.

Subfields: Computational Theory and Mathematics, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/efa4abd2cdf2eb265f6f0561f01ffcc1c59a372d

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In Statistics and Probability

1. Clement Atzberger
2. Markus Immitzer
3. Xianglei Chen
4. Tatjana Koukal

Citations in the corpus

• Why Do Students Choose Engineering? A Qualitative, Longitudinal Investigation of Students' Motivational Values (2010, background): “Significant findings include descriptions and characteristics of persisters and non-persisters (e.g., French, Immekus, and Oakes, 2005; Mendez et al., 2008; Nicholls et al., 2007).”
• STEM Attrition: College Students' Paths into and out of STEM Fields. Statistical Analysis Report. NCES 2014-001. (2013, background): “In addition, STEM attrition occurs more frequently among students with weaker academic backgrounds (Astin and Astin 1992; Kokkelenberg and Sinha 2010; Mendez et al. 2008; Shaw and Barbuti 2010; Strenta et al. 1994; Whalen and Shelley 2010).”
• Tree Species Classification with Random Forest Using Very High Spatial Resolution 8-Band WorldView-2 Satellite Data (2012, background): “One advantage of RF is that it can handle this collinearity [65].”