Maribel Peró Cebollero

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., 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 ) from different engineering degree courses at the Universitat Politecnica de Valencia (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.

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

Students take into account different factors in their choice of university studies and college. Some are global, as the quality of the degree (ratio available places/firstchoice places in, cut-off grade, etc.), and others are subjective factors (e.g.: my friends are also taking this degree). In this work we present a partial multivariate model that takes into account the weight of the different variables shown by different works linked to this decision. We have studied three samples (

Indicadores epidemiológicos descriptivos para el estudio de trastornos que cursan con recaídas

n = 372

Transcultural study on quality of life in patients diagnosed of schizophrenia from Mexico and Spain

n=372 from the Universidad Pablo de Olavide;

Propiedades psicométricas de la batería de evaluación de riesgos psicosociales en la mediana y pequeña empresa

n =

The Rate Ratio for the Study of Disorders with Multiple Episodes

n= 2,244 from the Universitat Politécnica de Valencia, and