Factors related with the university degree selection in Spanish public university system. An structural equation model analysis

Olmos, Joan Guàrdia; Peró‐Cebollero, Maribel; Jorge, Antonio; Lladró, Roberto Capilla; Jiménez, Pedro Pablo Soriano; Yañez, Manuel Porras

doi:10.1007/s11135-014-0008-9

Cited by 3 publications

(4 citation statements)

References 11 publications

(7 reference statements)

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“…These indices are acceptable when they are superior to .90 (GFI, AGFI, BBNFI, BBNNFI, and CFI), and for SRMR ≤ .05; and RMSEA ≤ .06, also the 2 /df ratio < 2 indicates an excellent fit, 2 /df < 3 a good fit, and 2 /df < 5 an acceptable fit [11], and in our case for all the models fitted these ratios are lower than 3. These results coincide with the model proposed by Guàrdia et al [10] for the first version of the present model. It can also be pointed out that in general the hypothesized parameters in the model are statistically significant in all cases, which is another argument in favor of the proposed model's ability to explain the demand for the first choice of university degree courses.…”

Section: Discussionsupporting

confidence: 94%

“…The structural relationships used in the analysis were based on the structural model (SEM) proposed by Guàrdia et al in [9], which obtained good fits of the structural model shown in Figure 1 as applied to a psychology degree course. A further development of the model was applied to several other degrees and universities [10].…”

Section: Path Diagrammentioning

confidence: 99%

“…Questionnaire. Each student was administered the questionnaire proposed by Guàrdia et al (2013),[10], which…”

mentioning

confidence: 99%

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

Hervás

Olmos

Peró‐Cebollero

et al. 2013

Abstract and Applied Analysis

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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 (totaln=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.

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Section: Discussionsupporting

confidence: 94%

Section: Path Diagrammentioning

confidence: 99%

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

Hervás

Olmos

Peró‐Cebollero

et al. 2013

Abstract and Applied Analysis

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“…As the work of [35,37] has shown in this process, there are factors associated with the preinscription mechanism in Spain, such as the degree cut-off marks, the number of seats offered in each degree and even the gender of the students, as the selections for the first option are not independent of that variable.…”

Section: Context Datamentioning

confidence: 99%

Modelling the Process to Access the Spanish Public University System Based on Structural Equation Models

Hervás

Soriano

Olmos

et al. 2020

MCA

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Currently, one of the challenges of universities is attracting talent in students, researchers, and teachers. The transition from high school to college requires a student to take a succession of decisions that will shape their future. For this reason, knowledge of the motivations of the students, their family, and their personal environment, to choose a particular degree and/or university to pursue their higher studies, would allow universities to efficiently adjust their recruitment strategies. In this article, a study was developed based on a structural equation model of the access to the Spanish Public University System (SUPE), which can help with supply and demand problems, recruitment actions and policies, and other strategic decisions. This was done through an extensive survey of first-year students of Spanish universities. The results allowed us to obtain the parameters of the model, which showed that the fit between the model and the data obtained were excellent at a global level and acceptable as well in all knowledge areas. The objective of the structural model was to provide a general view of the behavior of the students when deciding the degree and university in which they are going to study, and can help in the decision making of university leaders and to understand some behaviors of the Spanish Public University System.

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An innovative stakeholder framework for the Student-Choice Decision making process

Nemar¹,

Vrontis

Thrassou

2020

Journal of Business Research

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Factors related with the university degree selection in Spanish public university system. An structural equation model analysis

Abstract: A u t o r d e c o n t a c t o

Cited by 3 publications

References 11 publications

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

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

Modelling the Process to Access the Spanish Public University System Based on Structural Equation Models

An innovative stakeholder framework for the Student-Choice Decision making process

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