Resultados de investigación

Mauerer, I. & Tutz, G. (2023). "Replication Data for: Vote Choices and Valence: Intercepts and Alternate Specifications", Harvard Dataverse, V1. https://doi.org/10.7910/DVN/SKWTGS, Valence is a crucial concept in studying spatial voting and party competition. The widely adopted approach is to rely on intercepts of vote choice models and to infer, based on their size and direction, how valence affects party strategies in empirical settings. The approach suffers from fundamental statistical flaws. This contribution provides the statistical fundamentals to advance the empirical modeling of valence. It proposes an appropriate modeling approach to interpret intercepts as valences and alternate specifications to parametrize the effects of valence., EMERGIA, Junta de Andalucia

Crazyflie 2.1 en un entorno controlado dentro del laboratorio Robotics and Mechatronics Lab (IMECH.UMA), Universidad de Málaga (España). Las trayectorias fueron diseñadas mediante un planificador basado en el Principio del Máximo de Pontryagin y un modelo de punto masa (PMM), que genera soluciones de mínimo tiempo en múltiples waypoints. Dichas trayectorias se aproximaron mediante polinomios de séptimo orden para ser seguidas por el dron. Posteriormente, los vuelos se llevaron a cabo y se registraron usando cámaras OptiTrack PrimeX 13, generando datos en formato CSV con marcas de tiempo, posiciones, velocidades y aceleraciones en los tres ejes., Este dataset contiene trayectorias experimentales de un dron Crazyflie 2.1 en entornos indoor, obtenidas mediante un sistema de captura de movimiento OptiTrack. Incluye trayectorias de referencia planificadas con un modelo de punto masa (PMM), aproximaciones polinómicas y registros reales de vuelo en circuitos con forma de círculo y de ocho. Los datos permiten analizar y comparar la planificación y el seguimiento de trayectorias en experimentos de vuelo autónomo.

Article not published yet: iVR-MANUALTHERAPY. New Learning Manual Therapy Technique Using An Immersive Virtual Reality Environment in Undergraduate Students: A Mixed-Methods Cluster Randomized Controlled Trial. Manuel Trinidad-Fernández; Benoît Bossavit; Ivan José Fuentes-Abolafio; Celia García-Conejo; Daniel Mayorga-Vega; Estíbaliz Díaz-Balboa; Antonio Cuesta-Vargas, Article not published yet: iVR-MANUALTHERAPY. New Learning Manual Therapy Technique Using An Immersive Virtual Reality Environment in Undergraduate Students: A Mixed-Methods Cluster Randomized Controlled Trial. Manuel Trinidad-Fernández; Benoît Bossavit; Ivan José Fuentes-Abolafio; Celia García-Conejo; Daniel Mayorga-Vega; Estíbaliz Díaz-Balboa; Antonio Cuesta-Vargas 2. Data processing methods Data collected from online surveys using the software Limesurvey (The LimeSurvey Project Team). The only data processing was performed using statistical software to present descriptive data and inferential analysis. 3. Software or instruments needed to interpret the data: The file is in CSV format so anyone can open it. We performed the qualitative analysis using Atlas.ti software, and the quantitative analysis using SPSS software., A Mixed-Methods Cluster Randomized Control Trial was performed in manual therapy students of University of Malaga with no prior experience in manual therapy. An iVR application for head-mounted displays was designed to teach a knee manual therapy technique. The Experimental group used the new iVR application during the traditional teaching method class, while the Control group received only the traditional method. User experience (Spanish version of Short Version of the User Experience Questionnaire and ad-hoc survey with three questions responsed based on a 5-point Likert scale), iVR experience only in the experimental group (Simulator Sickness Questionnaire and three open questions) and learning experience (specific ad-hoc rubric for the femorotibial mobilization technique) were collected quantitatively and qualitatively after the session., Universidad de Malaga

Is supplement to: Mauerer, I. & Tutz, G. (2025). "An Ordinal Item Response Model for Understanding Attitudes". Forthcoming Sociological Methods and Research. doi: 10.1177/00491241251403078 Open Access, We present an item response model for ordinal public opinion data to understand individual-level variation in attitudes as a function of covariates. The approach allows investigating how individuals (or population subgroups) differ in substantive stances and attitude strength. It is a two-dimensional partial credit model that incorporates covariates linked to attitude direction and strength into the basic model. We exemplify the types of substantive insights into heterogeneity that can be obtained from the approach but not from existing models with two applications: attitudes toward gender equality (European Values Study) and the evaluation of presidential candidates (American National Election Study)., Program EMERGIA (EMC21-00256), Junta de Andalucía

Background: Adolescents are the most vulnerable population for problematic smartphone use (PSU). The scientific literature provides evidence that factors such as fear of missing out (FoMO) and emotional intelligence (EI) can be related to problematic internet behaviours, but few studies have been conducted on PSU in adolescents. This study aimed to examine how FoMO and EI might explain PSU in adolescents. Methods: The sample consisted of 537 students (12–17 years old) who completed scales assessing problematic smartphone use, fear of missing out, and emotional intelligence. Results: The results showed in both cases moderate, significant and positive correlations between PSU and FoMO, while significant and negative correlations between PSU and EI were observed. In addition, high FoMO and deficits in EI were found to explain part of the variance in PSU. Conclusions: The results are discussed based on the Theory of compensatory internet use. The need to address EI and FoMO in educational contexts is also justified., Parte del proyecto I+D+i PID2020-117006RB-I00, financiado por MCIN/AEI/10.13039/501100011033, Grupo de investigación Applied Positive Lab CTS-1048G-FEDER (Junta de Andalucía), Universidad de Málaga (M. T. Chamizo-Nieto bajo un contrato postdoctoral)

Analysis of PSTs' attitudes and emotions about STEM projects. It includes the two datasets and the readme file, State Research Agency and the European Social Fund, IIPPIT Universidad de Málaga, R&D Project B4-2023-22

El presente estudio analiza la relación entre la Inteligencia Emocional (IE) de los docentes y su probabilidad de intervención en casos de ciberacoso, así como el papel mediador de la interacción emocional alumno-docente. Para ello, se realizó un estudio cuantitativo de corte transversal. Se administraron los instrumentos WLEIS, EFI y un ítem para valorar la probabilidad de intervención. La muestra se compone de 105 docentes, de los cuales un 55,2% eran mujeres, con edades comprendidas entre los 29 y 64 años (M = 47; DT = 8,46), de 16 centros educativos de Secundaria. Los resultados mostraron una relación positiva entre la IE y la probabilidad de intervención, además de una mediación total de esta relación por la interacción emocional alumno-docente. De esta manera, la IE se relaciona con una mayor probabilidad de intervención entre víctima y acosador, a través de la interacción centrada en las emociones entre docente y alumno., Parte del proyecto I+D+i PID2020-117006RB-I00, financiado por MCIN/AEI/10.13039/501100011033 Grupo de investigación Applied Positive Lab CTS-1048G-FEDER (Junta de Andalucía) Universidad de Málaga (M. T. Chamizo-Nieto bajo un contrato postdoctoral).

This multi-study investigation examined what magnitude of personal resources people need to flourish in their personal life and at work. We specifically looked at the interplay between emotional intelligence (EI) and core self-evaluations (CSE) in relation to flourishing, happiness, and work engagement. Guided by job demands-resources theory, this investigation was conducted through two separate studies (Ns1 = 391; Ns2 = 703) using path analysis with Spanish employees. Study 1 revealed that EI moderated the positive relationship between CSE and flourishing and work engagement so that this relationship was weaker among employees high (vs. low) in EI. Study 2 replicated this pattern for the relationships with happiness and work engagement. Facet-level analyses revealed that use of emotions was driving the moderation on flourishing in Study 1, whereas other-emotion appraisal was driving the moderation on work engagement in Study 2. Overall, these findings suggest that individuals low in CSE might benefit from higher levels of EI to enhance their flourishing. Implications for improving well-being through the development of personal resources are discussed., Parte del proyecto I+D+i PID2020-117006RB-I00, financiado por MCIN/AEI/10.13039/501100011033, Grupo de investigación Applied Positive Lab CTS-1048G-FEDER (Junta de Andalucía), Junta de Andalucía, Proyectos FEDER (UMA18-FEDERJA-147)

Previous research reports that cybervictims are more likely to experience suicidal ideations. Gratitude and life satisfaction have shown to predict suicide risk, but they have rarely been explored in the cyberbullying context. Hence, this study examined the roles of gratitude and life satisfaction in suicide risk in cyberbullying situations. An initial sample of 858 adolescents participated in a prospective study, completing questionnaires assessing gratitude, life satisfaction, cyberbullying experiences and suicidal ideation. Results showed that low levels of gratitude and life satisfaction influence suicidal ideation in cybervictimized adolescents. Limitations and implications of this study are discussed., Parte del proyecto I+D+i PID2020-117006RB-I00, financiado por MCIN/AEI/10.13039/501100011033, Parte del proyecto UMA 18-FEDERJA-147 financiado por Junta de Andalucía/Fondos FEDER, Grupo de investigación Applied Positive Lab CTS-1048G-FEDER (Junta de Andalucía)