Abstract and Applied Analysis

A Structural Equation Model for Analysis of Factors Associated with the Choice of Engineering Degrees in a Technical University

Antonio Hervás, Joan Guàrdia Olmos, Maribel Peró Cebollero, Roberto Capilla Lladró, and Pedro Pablo Soriano Jiménez

Full-text: Open access

Abstract

Many different factors are taken into account by students when choosing a degree and university. Some of these are general considerations, such as the quality of the degree course (ratio of available places/places in first choice, cut-off mark, etc.), while others are subjective factors (e.g., friends doing the same course). This paper presents a partial multivariate model that considers the weight of the different variables linked to this decision, as identified in the bibliography. We analyzed four samples of first-year students (total n = 1790 ) from different engineering degree courses at the Universitat Politècnica de València (UPV) in the 2010-2011 and 2011-2012 academic years. All the students involved in the study had chosen this university and their courses as their first option. The overall effect shows that the structural model adjusts reasonably well to the different engineering courses analyzed. Similarly, the individual models for each engineering degree manage to identify the different effects involved. In the case of the engineering degree based on new technologies (ICT), the statistical effects are much greater and more statistically significant than in the other three branches of engineering considered. Social and individual factors were seen to have more impact on the choice of ICT degrees at the UPV.

Article information

Source
Abstr. Appl. Anal., Volume 2013, Special Issue (2013), Article ID 368529, 7 pages.

Dates
First available in Project Euclid: 26 February 2014

Permanent link to this document
https://projecteuclid.org/euclid.aaa/1393449603

Digital Object Identifier
doi:10.1155/2013/368529

Zentralblatt MATH identifier
1288.62202

Citation

Hervás, Antonio; Guàrdia Olmos, Joan; Peró Cebollero, Maribel; Capilla Lladró, Roberto; Soriano Jiménez, Pedro Pablo. A Structural Equation Model for Analysis of Factors Associated with the Choice of Engineering Degrees in a Technical University. Abstr. Appl. Anal. 2013, Special Issue (2013), Article ID 368529, 7 pages. doi:10.1155/2013/368529. https://projecteuclid.org/euclid.aaa/1393449603


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References

  • P. E. Murphy and R. A. McGarrity, “Marketing universities: a survey of student recruitment activities,” College and University, vol. 53, no. 3, pp. 249–261, 1978.
  • T. Yurtseven, How Does the Image of Engineering affect Student Recruitment and Retention? A Perspective from the USA, Global Journal of Engineering Education, New York, NY, USA, 2002.
  • C. S. V. Turner and J. R. Thompson, “Socializing women doctoral students: minority and majority experiences,” Review of Higher Education, vol. 6, pp. 232–241, 1993.
  • D. Y. Ford, “The underrepresentation of minority students in gifted education: Problems and promises in recruitment and retention,” The Journal of Special Education, vol. 32, no. 1, pp. 4–14, 1998.
  • R. Capilla, Análisis estratégico de los estudios TIC en la Universidad Politécnica de Valencia [Tesis Doctoral no Publicada], Universitat Politècnica de València, Valencia, Spain, 2009, http://riunet.upv.es/handle/10251/5767.
  • S.-M. R. Ting, “Predicting academic success of first-year engineering students from standardized test scores and psychosocial variables,” International Journal of Engineering Education, vol. 17, no. 1, pp. 75–80, 2001.
  • Sh. Huang and N. Fang, “Predicting student academic performance in an enginnering dynamics course: A comparison for four types of predictive mathematical models,” Computers & Education, vol. 61, pp. 133–145, 2013.
  • C. P. Veenstra, E. L. Dey, and G. D. Herrin, “Is modeling of freshman engineering success different from modeling of non-engineering success?” Journal of Engineering Education, vol. 97, no. 4, pp. 467–479, 2008.
  • J. Guàrdia, M. Peró, A. Hervás, R. Capilla, P. P. Soriano, and M. Porras, “Factores asociados con la decisión de cursar estudios universitarios de Psicología. Una aproximación mediante modelos de ecuaciones estructurales,” Anuario de Psicologia, vol. 42, no. 1, pp. 87–104, 2012.
  • J. Guàrdia, M. Peró, A. Hervás, R. Capilla, P. P. Soriano, and M. Porras, “Factors related with the university degree selection in Spanish public university system. A structural equation model analysis,” In editorial review, 2013, http://riunet.upv.es/handle/10251/30128.
  • L.-T. Hu and P. M. Bentler, “Cutoff criteria for fit indexes in covariance structure analysis: conventional criteria versus new alternatives,” Structural Equation Modeling, vol. 6, no. 1, pp. 1–55, 1999.