Master's and doctoral engineering students' interest in industry, academia, and government careers
作者： Nathan H. Choe , Maura Borrego
DOI: 10.1002/JEE.20317
关键词:
摘要:
sci-hub.se 参考文章(45)
Leigh Hall, Leslie Burns, Identity development and mentoring in doctoral education. Harvard Educational Review. ,vol. 79, pp. 49- 70 ,(2009) , 10.17763/HAER.79.1.WR25486891279345
Mark K. Fiegener, Numbers of Doctorates Awarded Continue to Grow in 2009; Indicators of Employment Outcomes Mixed. InfoBrief. NSF 11-305. National Science Foundation. ,(2010)
Martin M. Chemers, Eileen L. Zurbriggen, Moin Syed, Barbara K. Goza, Steve Bearman, The Role of Efficacy and Identity in Science Career Commitment Among Underrepresented Minority Students Journal of Social Issues. ,vol. 67, pp. 469- 491 ,(2011) , 10.1111/J.1540-4560.2011.01710.X
Annamaria Conti, Fabiana Visentin, A revealed preference analysis of PhD students' choices over employment outcomes Research Policy. ,vol. 44, pp. 1931- 1947 ,(2015) , 10.1016/J.RESPOL.2015.06.009
Heather Thiry, Sandra L. Laursen, Carrie Liston, (DE)VALUING TEACHING IN THE ACADEMY: WHY ARE UNDERREPRESENTED GRADUATE STUDENTS OVERREPRESENTED IN TEACHING AND OUTREACH? Journal of Women and Minorities in Science and Engineering. ,vol. 13, pp. 391- 419 ,(2007) , 10.1615/JWOMENMINORSCIENENG.V13.I4.50
Wayne F. Velicer, Douglas N. Jackson, Component Analysis versus Common Factor Analysis: Some issues in Selecting an Appropriate Procedure. Multivariate Behavioral Research. ,vol. 25, pp. 1- 28 ,(1990) , 10.1207/S15327906MBR2501_1
Tom Chiu, DongPing Fang, John Chen, Yao Wang, Christopher Jeris, A robust and scalable clustering algorithm for mixed type attributes in large database environment knowledge discovery and data mining. pp. 263- 268 ,(2001) , 10.1145/502512.502549
Scott W. Rogers, Recep K. Goktas, Exploring Engineering Graduate Student Research Proficiency with Student Surveys Journal of Engineering Education. ,vol. 99, pp. 263- 278 ,(2010) , 10.1002/J.2168-9830.2010.TB01061.X
Chris Fraley, Adrian E. Raftery, MCLUST: Software for Model-Based Cluster Analysis Journal of Classification. ,vol. 16, pp. 297- 306 ,(1999) , 10.1007/S003579900058