A Method for Identifying Variables for Predicting STEM Enrollment

By G. Nicholls, H. Wolfe, M. Besterfield-Sacre, L. Shuman, Siripen Larpkiattaworn. 2007

120 citations recorded by the source corpus.

Subfields: Architecture, Media Technology, Safety Research

View Paper: https://www.semanticscholar.org/paper/3f67a7216f9981e8597e11b74b7d7d177c7d6b8e

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Architecture

1. Ronald L. Miller
2. Ruth A. Streveler
3. Holly M. Matusovich

In Media Technology

1. Ronald L. Miller
2. Ruth A. Streveler
3. Holly M. Matusovich

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).”
• Predicting STEM Degree Outcomes Based on Eighth Grade Data and Standard Test Scores (2010, methodology): “Nicholls et al. (2007) created a methodology for rapidly analyzing CIRP data to identify variables that predicted interest in a STEM major.”