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, Data-Driven Profiling of Reading Processes in Secondary Students: Learning Analytics Insights From PROLEC AssessmentThe integration of Learning Analytics (LA) into traditional psychometric assessments offers a transformative path for personalizing secondary education. This study proposes a “psychometric-first” analytical pipeline that converts item-level responses from the PROLEC-SE-R battery into actionable learner models for Interactive Learning Ecosystems (ILE). Using data from 256 Ecuadorian secondary students, we applied Categorical Principal Component Analysis (CATPCA) to address the ordinal nature of the psychometric data, identifying four latent dimensions of reading: lexical, syntactic, semantic, and integration processes. Subsequently, a k-means clustering algorithm identified three distinct cognitive profiles: At-Risk (12.0%), Average (56.8%), and High-Performance (31.2%). The internal validity of these clusters was confirmed through a Davies-Bouldin index of 1.206 and stability analysis via Jaccard bootstrapping. To bridge the gap between psychometric profiling and Human-Computer Interaction (HCI), we developed a rule-based mapping for UI/UX adaptations, where profiles trigger differentiated scaffolding—such as intensive audio-support for at-risk students and complex inferential challenges for high-performers. Results demonstrate that this scalable approach provides a theoretically grounded alternative to hardware-dependent analytics (e.g., eye-tracking) in low-resource contexts. This study contributes to the field of educational data mining by operationalizing latent cognitive features into dynamic instructional interventions, fostering more inclusive and adaptive digital learning environments. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2026. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Designing the future: Star Trek as visual culture, speculative design, and imagination activator in human–technology interactionScience fiction audiovisual narratives function as spaces for cultural and design experimentation in which technological interfaces, interactions, and imaginaries are visually articulated before their material realization. From this perspective, the present study aims to analyze Star Trek as a paradigmatic case of visual culture and speculative design, examining how its audiovisual narratives operate as triggers of the imagination that shape expectations about human-technology interaction and contemporary landscapes of communication. The research adopts a qualitative methodology based on non-participant observation and focused audiovisual content analysis, based on the systematic review of episodes of Star Trek: The Original Series and Star Trek: The Next Generation, in order to identify and categorize technological artifacts according to their communicative, interactional and design functions. These representations were later analyzed in a comparative way with technological developments documented through a bibliographic review in specialized databases such as Scopus, Web of Science, Google Scholar. The results show that devices such as portable communicators, voice-controlled interfaces, immersive virtual environments, telepresence systems and diagnostic tools operate as visual and communicative prototypes, influencing interaction paradigms and design expectations present in contemporary technologies. Rather than establishing direct causal relationships, the study concludes that science fiction audiovisual narratives symbolically contribute to technological innovation by mediating meanings, imaginaries, and design logics, positioning Star Trek as a form of speculative design within visual culture that articulates design, communication, and human-technology interaction in contemporary media environments. © 2026 Londoño-Proaño. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Loneliness, Emotional Fatigue, Social Dysfunction, and Suicide Risk in Ecuadorian University Students: A Mediation Analysis(Russian Psychological Society, 2026); Revelo-Sánchez, PriscilaBackground. Suicidal risk in university students does not require analysis solely from clinical parameters; it is also necessary to understand it from the perspective of psychosocial factors and the everyday life situations to which the students are mostly exposed. Furthermore, it is a phenomenon with multiple causes, so studying it by integrating the complexity of various actors can help us understand not only direct dynamics but also indirect, multifaceted ones. Objective. To estimate a sequential and latent multiple mediation model of emotional fatigue and social dysfunction in the relationship between loneliness and suicidal risk in Ecuadorian university students. Design. A descriptive, cross-sectional, multiple mediation study using structural equation modelling (SEM). The sample comprised 943 undergraduate students (64.4% women, 35.6% men) from six universities (61.1% public) in four Ecuadorian cities, aged between 18 and 47 years (M=21.62, SD=3.81). Results. Loneliness, emotional fatigue, and social dysfunction are latent predictors of suicidal risk, explaining 60% of its variance. Loneliness exerts both a direct effect on suicide risk and an indirect effect through the sequential multiple mediation of emotional fatigue and social dysfunction. Conclusion. Academic risk factors such as loneliness, emotional fatigue, and social dysfunction are key attributes to consider for preventing suicidal behavior in university students. These predictors can dynamically interact to generate both direct and indirect effects, allowing for a better understanding of the complexity of this phenomenon. © Moreta-Herrera, R., Gordón-Villalba, P., Rodas, J.A., Cuesta-Andaluz, E., Revelo-Sánchez, P., 2026. - 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, The emotional cost of service: a comparison between health and education professionals(2025); Daphne S. Narváez-AlmeidaThere is an emotional toll on healthcare workers and also on educators, who experience stress and trauma in their daily work. The objective of this study is to compare the manifestation of Compassion Fatigue and Compassion Satisfaction in these two groups. To measure this emotional toll, the PROQoL IV test was administered. The results showed that while both groups experience greater Compassion Fatigue the longer they have been in their profession, it is educators who show a deeper burnout. It is suggested that future tools be developed to enable teachers to manage these situations effectively without compromising their quality of life. © 2025 IEEE.13 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Beyond Linear Statistics: A Machine Learning Ecosystem for Early Screening of School Bullying(2026); 5 - 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