Facultad de Ciencias Sociales y Humanas
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Item type:Publication, Validation of the Relational Self-Esteem Scale in Ecuador: Unidimensional Structure and Gender Invariance(Russian Psychological Society, 2026); Morillo, Rocío JátivaBackground. Relational self-esteem — self-worth derived from significant relationships — is central to psychosocial functioning. However, brief measures validated with appropriate methods for ordinal items are scarce in Ecuadorian populations. Objective. To examine the factorial structure, internal consistency, convergent validity, and gender-based measurement invariance of the Relational Self-Esteem Scale (RSE), using a cross-validation approach. Design. Instrumental, cross-sectional study with n=1.478 Ecuadorian adults. The sample was split for cross-validation: 40% (n=591) for EFA and 60% (n=887) for CFA. EFA used a polychoric matrix, ULS extraction, and oblimin rotation; factor retention was guided by parallel analysis. CFA employed WLSMV. Convergent validity was tested against personal self-esteem (RSES), collective self-esteem (CSE), and mental well-being (MHC-SF). Multigroup measurement invariance by gender was assessed (configural, metric, scalar, strict). Results. Parallel analysis and confirmatory factor analysis supported a unidimensional structure with robust factor loadings and an adequate overall model fit. The scale demonstrated high internal consistency and reliability. Convergent validity was established through significant positive correlations with measures of self-esteem, core self-evaluations, and mental health. The instrument showed full measurement invariance across genders, meeting all criteria from con" gural to strict levels. Conclusion. The RSE shows a unidimensional structure, adequate reliability, convergent validity, and gender invariance in Ecuadorian adults. Findings support using the total score as a brief, valid indicator of relational self-esteem in this context. © Larzabal-Fernández, A., Mayorga-Lascano, M., Lascano-Arias, G., Valdiviezo Rodríguez, D.C., Játiva Morillo, R., Moreta-Herrera, R., 2026. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Mapping Adolescent Well-Being: A Network Analysis of Subjective and Psychological Well-being in Ecuador(Springer Science and Business Media LLC, 2026-07-24); - Some of the metrics are blocked by yourconsent settings
Item type:Publication, IS GENDER A FACTOR OF VARIABILITY IN THE MEASUREMENT OF THE ACADEMIC PROCRASTINATION SCALE? ANALYSIS OF MEASUREMENT INVARIANCE IN UNIVERSITY STUDENTS FROM ECUADOR, PERU, AND VENEZUELAThe objective of this study was to examine the gender-based measurement invariance (MI) of the Academic Procrastination Scale (APS) in a sample of university students from Ecuador, Venezuela, and Peru. A total of 762 university students participated (35% men and 65% women), aged between 18 and 58 years, who studied at public universities in Ecuador, Venezuela, and Peru. The results confirmed that the two-factor correlated structure of the APS was suitable for university students. In addition, the scale showed adequate internal consistency between genders. The IM strictly based on the gender of the APS is confirmed. There were gender differences in the latent mean academic procrastination, with higher academic procrastination in women than in men. Finally, it is concluded that the APS is a valid and reliable measure for the evaluation of Academic Procrastination (AP) in university students in South America, indicating that gender is not a factor of measurement variability. © Copyright: The Author(s). All articles are licensed under the terms and conditions of the Creative Commons Attribution 4.0 International License (CC-BY 4.0 [removed]). - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Irrupción femenina y narrativas digitales en el periodismo deportivo alternativo: el caso del ecuavóleyIn the Ecuadorian context, ecuavóley is a popular sports practice with a strong territorial presence, but historically excluded from traditional media. Its female version, in particular, has been doubly invisible: because of its condition as a non-institutionalized sport and because it is reproduced in a masculinized media field. This article takes as its object of study a sample of 40 videos selected from more than 1,539 audiovisual content available on YouTube about ecuavóley, all with female participation, published between 2022 and 2024 on three specialized channels. The objective is to analyze how specialized digital narratives configure alternative forms of media representation of sport, with emphasis on the visibility of women. Based on a qualitative methodology, which combines content analysis and critical discourse analysis, and with technical support from artificial intelligence tools for the organization of the corpus, six categories were defined: visibility of female athletes, narrative language, visual resources, audience interaction, contextualization of the event and audiovisual production. The results show a tension between the growing presence of women in these spaces and the persistence of gender stereotypes in discourses. However, emerging practices of alternative sports journalism are also identified, characterized by self-management, community narrative and the resignification of popular sport from the digital margins. © 2026, Universidad Complutense Madrid. All rights reserved. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Applying Classification Techniques in Machine Learning to Predict Job Satisfaction of University Professors: A Sociodemographic and Occupational Perspective(2024); ; Camila Alessandra Valarezo-Calero<jats:p>This article investigates the factors that affect the job satisfaction of university teachers for which 400 teachers from 4 institutions (public and private) in Ecuador were stratified, resulting in a total of 1600 data points collected through online forms. The research was of a cross-sectional design and quantitative and used machine learning techniques of classification and prediction to analyze variables such as ethnic identity, field of knowledge, gender, number of children, job burnout, perceived stress, and occupational risk. The results indicate that the best classification model is neural networks with a precision of 0.7304; the most significant variables for predicting the job satisfaction of university teachers are: the number of children they have, scores related to perceived stress, professional risk, and burnout, province of the university at which the university teacher surveyed works, and city where the teacher works. This is in contrast to marital status, which does not contribute to its prediction. These findings highlight the need for inclusive policies and effective strategies to improve teacher well-being in the university academic environment.</jats:p>25 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Impact of Social Networking Use in Youth and the Relationship of Mood StatesThis research has focused on identifying the levels of aggression and irritability observed in a group of young participants due to the use of social networks. Since their beginnings, social networks have captured the attention of several users, with the youngest being those who use them most frequently. This excessive use has generated changes in the habitual behavior of young people and has caused the content they observe to affect their moods significantly. This research carried out with 45 participants shows that although the levels of irritability and aggression are located at low and average levels, it can also be observed that the more time they spend on these networks, the more aggression and irritability increase.36 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Propiedades psicométricas del European Bullying Intervention Project Questionnaire (EBIPQ) y el European Cyberbullying Intervention Project Questionnaire (ECIPQ) en una muestra de adolescentes del Ecuador(2025); 7 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Design of the Attitudinal Assessment Scale Towards Artificial Intelligence (EVAIA-1)(2023); 79 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Intervention against school bullying through emerging technologies: a literature review(2025); ; ; Francisco Sebastián Vaca-PintoSchool bullying remains a persistent issue that negatively affects students' well-being and academic performance. Private educational institutions face unique challenges in addressing this problem due to limited resources and teacher training. This literature review explores the use of emerging technologies - such as virtual reality (VR), mobile applications, and artificial intelligence (AI) - as innovative tools to prevent and mitigate school bullying. Recent studies that implement these technologies in educational settings were analyzed to assess their effectiveness and applicability. The findings suggest that such tools can foster empathy, facilitate anonymous reporting, and enable early detection of incidents, contributing to the development of safer and more supportive school environments. © 2025 IEEE.19 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Predicting Academic Performance in Psychology Students from Their Social Skills Using Classification Algorithms(2023)32