Bego, C. R., & Immekus, J., & Hieb, J. L. (2020, June), Predictors of First-year Retention Among Undergraduate Engineering Students Who Earn a C in their First-semester Math Course  Paper presented at 2020 ASEE Virtual Annual Conference Content Access, Virtual On line . 10.18260/1-2--35076

\bibitem{asee_peer_35076}
  Bego, C. R., \& Immekus, J., \& Hieb, J. L. (2020, June), \emph{Predictors of First-year Retention Among Undergraduate Engineering Students Who Earn a C in their First-semester Math Course}
  Paper presented at 2020 ASEE Virtual Annual Conference Content Access, Virtual On line .
  10.18260/1-2--35076

Campbell R. Bego, Jason Immekus, and Jeffrey Lloyd Hieb.  "Predictors of First-year Retention Among Undergraduate Engineering Students Who Earn a C in their First-semester Math Course".  2020 ASEE Virtual Annual Conference Content Access, Virtual On line , 2020, June.  ASEE Conferences, 2020.  https://peer.asee.org/35076 Internet.  19 Apr, 2024

\bibitem{asee_peer_35076}
  Campbell R. Bego, Jason Immekus, and Jeffrey Lloyd Hieb.
  "Predictors of First-year Retention Among Undergraduate Engineering Students Who Earn a C in their First-semester Math Course".
  \emph{2020 ASEE Virtual Annual Conference Content Access, Virtual On line , 2020, June}.
  ASEE Conferences, 2020.
  https://peer.asee.org/35076 Internet.  19 Apr, 2024

@INPROCEEDINGS{asee_peer_35076
author = "Campbell R. Bego, Jason Immekus, and Jeffrey Lloyd Hieb"
title = "Predictors of First-year Retention Among Undergraduate Engineering Students Who Earn a C in their First-semester Math Course"
booktitle = "2020 ASEE Virtual Annual Conference Content Access"
year = "2020"
month = "June"
address = "Virtual On line "
publisher = "ASEE Conferences"
note = {https://peer.asee.org/35076}
number = {10.18260/1-2--35076}
}

TY  - CPAPER
AB  - This study examines non-cognitive predictors of first-year engineering retention for students who received a C in their first semester mathematics course. Scores across eight non-cognitive measures served as model predictors, obtained at the onset of the freshmen year, including: value interest in engineering, perceived effort, opportunity, and psychological costs, perceived belonging uncertainty, contingencies of self-worth: academic competence, test anxiety, and self-efficacy. Results based on least absolute shrinkage and selection operator regression reported that value interest and test anxiety were the best predictors of C-student retention. The results from this study inform research on the decision-making of students that have potential for graduation but are at risk of leaving engineering. Our results indicate that a strategic intervention in increasing interest in engineering may lead to strong gains in engineering retention at this university, and potentially others as well. 
AU  - Campbell R. Bego
AU  - Jason Immekus
AU  - Jeffrey Lloyd Hieb
CY  - Virtual On line 
DA  - 2020/06/22
PB  - ASEE Conferences
TI  - Predictors of First-year Retention Among Undergraduate Engineering Students Who Earn a C in their First-semester Math Course
UR  - https://peer.asee.org/35076
DO  - 10.18260/1-2--35076
ER  -