Emotional intelligence (EI) refers to the ability to perceive, express, understand, and manage emotions. Current research indicates that it may protect against the emotional burden experienced in certain professions. This article aims to provide an updated systematic review of existing instruments to assess EI in professionals, focusing on the description of their characteristics as well as their psychometric properties (reliability and validity). A literature search was conducted in Web of Science (WoS). A total of 2761 items met the eligibility criteria, from which a total of 40 different instruments were extracted and analysed. Most were based on three main models (i.e., skill-based, trait-based, and mixed), which differ in the way they conceptualize and measure EI. All have been shown to have advantages and disadvantages inherent to the type of tool. The instruments reported in the largest number of studies are Emotional Quotient Inventory (EQ-i), Schutte Self Report-Inventory (SSRI), Mayer-Salovey-Caruso Emotional Intelligence Test 2.0 (MSCEIT 2.0), Trait Meta-Mood Scale (TMMS), Wong and Law’s Emotional Intelligence Scale (WLEIS), and Trait Emotional Intelligence Questionnaire (TEIQue). The main measure of the estimated reliability has been internal consistency, and the construction of EI measures was predominantly based on linear modelling or classical test theory. The study has limitations: we only searched a single database, the impossibility of estimating inter-rater reliability, and non-compliance with some items required by PRISMA.

Taking care of a person with a physical disability can become a challenge for caregivers as they must combine the task of caring with their personal and daily needs. The aim of this study was to assess the impact that taking care of a person who needs support has on caregivers and to analyze certain characteristics they present, such as self-esteem and resilience. To that end, a bibliographic review was carried out from 1985, when the first article of taking care of a person who needs support was published, to 2020 (inclusive), in the databases of Web of Science (WoS), Scopus, Pubmed, Eric, Psycinfo, and Embase. The search yielded a total of (n = 37) articles subject to review, following the guidelines established in the PRISMA declaration. The results show that caregiving was highly overburdening and negatively affected the physical condition and the psychological and mental states of caregivers. In addition, certain psychological characteristics present in caregivers such as having high self-esteem and being resilient were found to act as protective factors against the caregiving burden.

Objetivo: Cuando es estudiada la validez de contenido en dos grupos independientes de jueces expertos, se requiere hacer una prueba formal de las diferencias entre sus juicios, dado que es posible obtener distintos juicios de validez de contenido. Pero, generalmente, la investigación de la validez de contenido no examina esta posible fuente de discrepancias. El presente reporte describe la implementación de un método para evaluar la diferencia de coeficientes V de Aiken aplicado al trabajo investigativo en ciencias del deporte. Metodología: El procedimiento aplica una adaptación para construir el intervalo de confianza de la diferencia entre coeficientes V de Aiken y también implementa un estimador estandarizado del tamaño de la distinción entre los coeficientes V, específicamente, la transformación arcoseno de coeficientes V. Resultados: Se desarrollan dos ejemplos, en un marco de análisis secundario de datos, y se demuestra la diferencia entre la conclusión con base impresionista y la conclusión con base empírica y evaluación formal. Se detectaron distinciones estadísticas no observadas previamente. Conclusiones e implicaciones: El método que estima diferencias de coeficientes de validez de contenido V de Aiken para la investigación permite un avance en la metodología que valida instrumentos de medición. Se valora la aplicabilidad de este procedimiento en el contexto de ciencias del deporte y ciencias de la educación, así como en el diseño de la investigación.

Revisión sistemática de medidas de conducta prosocial

Objetivo: Realizar el análisis psicométrico preliminar de la Escala Breve de Satisfacción con los Estudios (EBSE) en estudiantes universitarios. Método: Se evaluó una muestra de 590 estudiantes (75,9% mujeres) de edades comprendidas entre los 17 y los 47 años (M = 20,37; DE = 3,155). Adicionalmente, se utilizaron medidas de ansiedad (GAD-2) y depresión (PHQ-2). Se aplicó un análisis factorial exploratorio, para conjuntamente diferenciar el EBSE, GAD-2 y PHQ-2. Finalmente, la fiabilidad por consistencia fue calculada a través del coeficiente alfa. Resultados: Fue hallada una estructura de 2 factores, uno de satisfacción con los estudios (42% de varianza retenida) y otro de afecto negativo (ansiedad y depresión, 22% de varianza), lo que brinda evidencia de validez de constructo de la EBSE. Adicionalmente, la fiabilidad de las puntuaciones de la EBSE fue adecuada (0,788). Conclusión: Se obtuvieron buenas propiedades psicométricas en el instrumento. Se discuten las consecuencias prácticas y las limitaciones del estudio

Purpose: Currently, information on the psychometric properties of the Medical outcomes study-social support survey (MOS-SSS) for patients with chronic disease in primary health care, suggests problems in the dimensionality, specifically predominant unidimensionality in a multidimensional measure. The aim of this study was to determine the internal structure (dimensionality, measurement invariance and reliability) and association with other variables.Methods: A total of 470 patients with chronic disease from a Family Medicine Unit at the Instituto Mexicano del Seguro Social, IMSS, with a mean age of 51.51 years were included. Participants responded to the Questionnaire of Sociodemographic Variables (Q-SV), SF-36 Health-Related Quality of Life Scale–version 1.1, and MOS-SSS.Results: Non-parametric (Mokken scaling analysis) and parametric (confirmatory factor analysis) analyses indicated unidimensionality, and three-factor model was not representative. A new 8-item version (MOS-S) was developed, where measurement invariance, equivalence with the long version, reliability, and relationship with the SF-36 were satisfactory.Conclusion: The MOS-SSS scale is unidimensional, and the shortened version yields valid and reliable scores for measuring social support in patients with chronic disease at the primary health care.