Orr, M. K., & Ramirez, N. M., & Ohland, M. W., & Lundy-Wagner, V. (2012, June), Using High School and District Economic Variables to Predict Engineering Persistence  Paper presented at 2012 ASEE Annual Conference & Exposition, San Antonio, Texas. 10.18260/1-2--22184

\bibitem{asee_peer_22184}
  Orr, M. K., \& Ramirez, N. M., \& Ohland, M. W., \& Lundy-Wagner, V. (2012, June), \emph{Using High School and District Economic Variables to Predict Engineering Persistence}
  Paper presented at 2012 ASEE Annual Conference \& Exposition, San Antonio, Texas.
  10.18260/1-2--22184

Marisa K. Orr, Nichole M. Ramirez, Matthew W. Ohland, and Valerie Lundy-Wagner.  "Using High School and District Economic Variables to Predict Engineering Persistence".  2012 ASEE Annual Conference & Exposition, San Antonio, Texas, 2012, June.  ASEE Conferences, 2012.  https://peer.asee.org/22184 Internet.  29 Jun, 2024

\bibitem{asee_peer_22184}
  Marisa K. Orr, Nichole M. Ramirez, Matthew W. Ohland, and Valerie Lundy-Wagner.
  "Using High School and District Economic Variables to Predict Engineering Persistence".
  \emph{2012 ASEE Annual Conference \& Exposition, San Antonio, Texas, 2012, June}.
  ASEE Conferences, 2012.
  https://peer.asee.org/22184 Internet.  29 Jun, 2024

@INPROCEEDINGS{asee_peer_22184
author = "Marisa K. Orr, Nichole M. Ramirez, Matthew W. Ohland, and Valerie Lundy-Wagner"
title = "Using High School and District Economic Variables to Predict Engineering Persistence"
booktitle = "2012 ASEE Annual Conference \& Exposition"
year = "2012"
month = "June"
address = "San Antonio, Texas"
publisher = "ASEE Conferences"
note = {https://peer.asee.org/22184}
number = {10.18260/1-2--22184}
}

TY  - CPAPER
AB  -        Engineering Enrollment, Persistence, and Academic Achievement             as a Function of District and Peer Economic StatusThere is a growing socioeconomic status (SES) gap in higher education with increasing tuitionrates and decreasing aid, creating greater barriers for low SES students to overcome poverty.Prior research has shown that Peer Economic Status (PES), a socioeconomic indicator based on aschool’s free lunch participation, is predictive of enrollment in engineering, first-year GPA, andengineering degree completion. In that study, PES was calculated as an average over the entiretime period (1987-2004). To further explore the utility of this variable two new time-variantforms will be used, computed at the school-level and the district-level. Academic variables aredrawn from the Multiple Institution Database for Investigation of Engineering LongitudinalDevelopment (MIDFIELD) database and high school codes are used to link data from theNational Center for Education Statistics (NCES).The time-variant PES is calculated from the four years each student is expected to have been inhigh school. Additionally, a new algorithm for the treatment of missing values is utilized. Thedistrict economic status (DES) is computed in a similar fashion. A series of logistic and linearregression models is used to determine the impact of school- and district-level economic statusvariables on engineering enrollment, persistence to the 3rd semester, degree completion, and firstyear GPA. It is hypothesized that the time-variant PES will be a stronger indicator of studentoutcomes than the previous variable and that DES will have a similar relationship with theoutcome variables.The significance of this work is that it connects postsecondary outcomes to high school anddistrict characteristics. Findings can inform academic policy, as well as the recruiting andadvising of students from all socioeconomic strata by identifying potential roadblocks faced bystudents from low economic status schools and districts.
AU  - Marisa K. Orr
AU  - Nichole M. Ramirez
AU  - Matthew W. Ohland
AU  - Valerie Lundy-Wagner
CY  - San Antonio, Texas
DA  - 2012/06/10
PB  - ASEE Conferences
TI  - Using High School and District Economic Variables to Predict Engineering Persistence
UR  - https://peer.asee.org/22184
DO  - 10.18260/1-2--22184
ER  -