A Structural Equation Model for Analysis of Factors Associated with the Choice of Engineering Degrees in a Technical University
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., frie...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2013-01-01
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| Series: | Abstract and Applied Analysis |
| Online Access: | http://dx.doi.org/10.1155/2013/368529 |
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| author | Antonio Hervás Joan Guàrdia Olmos Maribel Peró Cebollero Roberto Capilla Lladró Pedro Pablo Soriano Jiménez |
| author_facet | Antonio Hervás Joan Guàrdia Olmos Maribel Peró Cebollero Roberto Capilla Lladró Pedro Pablo Soriano Jiménez |
| author_sort | Antonio Hervás |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-48409881a8564768b99504603f71e3fd |
| institution | Kabale University |
| issn | 1085-3375 1687-0409 |
| language | English |
| publishDate | 2013-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Abstract and Applied Analysis |
| spelling | doaj-art-48409881a8564768b99504603f71e3fd2025-02-03T06:11:10ZengWileyAbstract and Applied Analysis1085-33751687-04092013-01-01201310.1155/2013/368529368529A Structural Equation Model for Analysis of Factors Associated with the Choice of Engineering Degrees in a Technical UniversityAntonio Hervás0Joan Guàrdia Olmos1Maribel Peró Cebollero2Roberto Capilla Lladró3Pedro Pablo Soriano Jiménez4Universitat Politècnica de València, 46022 Valencia, SpainInstitut de Recerca en Cervell, Cognició i Conducta (IR3C), Facultat de Psicologia, Universitat de Barcelona, 08035 Barcelona, SpainInstitut de Recerca en Cervell, Cognició i Conducta (IR3C), Facultat de Psicologia, Universitat de Barcelona, 08035 Barcelona, SpainUniversitat Politècnica de València, 46022 Valencia, SpainUniversitat Politècnica de València, 46022 Valencia, SpainMany 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.http://dx.doi.org/10.1155/2013/368529 |
| spellingShingle | Antonio Hervás Joan Guàrdia Olmos Maribel Peró Cebollero Roberto Capilla Lladró Pedro Pablo Soriano Jiménez A Structural Equation Model for Analysis of Factors Associated with the Choice of Engineering Degrees in a Technical University Abstract and Applied Analysis |
| title | A Structural Equation Model for Analysis of Factors Associated with the Choice of Engineering Degrees in a Technical University |
| title_full | A Structural Equation Model for Analysis of Factors Associated with the Choice of Engineering Degrees in a Technical University |
| title_fullStr | A Structural Equation Model for Analysis of Factors Associated with the Choice of Engineering Degrees in a Technical University |
| title_full_unstemmed | A Structural Equation Model for Analysis of Factors Associated with the Choice of Engineering Degrees in a Technical University |
| title_short | A Structural Equation Model for Analysis of Factors Associated with the Choice of Engineering Degrees in a Technical University |
| title_sort | structural equation model for analysis of factors associated with the choice of engineering degrees in a technical university |
| url | http://dx.doi.org/10.1155/2013/368529 |
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