952
Views
9
CrossRef citations to date
0
Altmetric
Articles

A quantitative analysis of the identification of personality traits in engineering students and their relation to academic performance

, , , , , , , & show all
Pages 1323-1334 | Published online: 05 Feb 2019
 

ABSTRACT

This study focuses on identifying personality traits in engineering students and testing whether they are related to academic performance. In addition, the importance of the personality construct in the educational and vocational training context was studied. A sample of 235 students from the Construction Engineering and Computer Engineering Schools of the Pontifical Catholic University of Valparaíso was used. Through correlation and econometrics analysis, the results obtained indicate that there is a relation between academic performance and the personality traits of extraversion, openness and conscientiousness. In addition, these results led to characterization of students based on their personality traits and provided elements that may enhance the development of an effective personality that allows students to successfully face their environment, playing an important role in the educational process.

Disclosure statement

No potential conflict of interest was reported by the authors.

Notes

1 F-statistic = 24.61 Prob. = 0.0000 α = 0.01; Durbin-Watson = 2.149 dL = 1,421 dU = 1.670 α = 0.01.

Additional information

Funding

This work was supported by Nueva Ingeniería para el 2030 [grant number 14ENI2-26905]; CONICYT/FONDECYT/REGULAR [grant number 1171243]; and CONICYT/FONDECYT/REGULAR [grant number 1160455].

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 53.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 678.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.