The excessive use of social networks needs to be addressed, and this phenomenon needs to be measured for the purpose of evaluation, prevention, and intervention among adolescents and young people. The objective of the study was to adapt and psychometrically validate the Brief Scale of Addiction to Social Networks (SNA-6) among Mexican adolescents and young adults. The participating sample consisted of 2,789 students from 6 public educational campuses in Cuernavaca (Morelos, Mexico). Data collection was carried out through a web platform to strictly maintain anonymity, voluntary participation, and confidentiality. Data analysis first focused on the detection of possible response biases (random intercept model and careless/insufficient effort), the quality of the response structure partial credit model (PCM), dimensionality (CFA and invariance), and the relationship with external variables. It was found that when the range of efficient response options was limited to less than five, reliability was high (0.91), and unidimensionality was maintained. Response biases slightly affected the dimensional structure of the instrument. Measurement invariance reached scalar invariance in the sex, age, and campus groups. The association with sensation seeking and depression, controlling for sex and age covariates, was statistically significant, small, and theoretically consistent. Implications of the results are discussed.

Sensation seeking is a construct associated with risky behaviors over a wide age range, but validation studies in Mexico are lacking. The aim of this study was to investigate the validity of two versions of the Brief Sensation Seeking Scale (the BSSS-8 and BSSS-4) in young Mexican individuals. The sample consisted of 2884 students (age: M = 16.6, SD = 1.5) from five preparatory schools in Morelos, Mexico. The internal structure of the BSSS was evaluated according to the structural equation modeling (SEM) parameterization, including measurement invariance (compared to the factor loadings obtained in the meta-analysis); conditional reliability; and equivalence between versions. The unidimensionality and measurement invariance (configurational, factor loadings, thresholds, intercepts, and residuals) across sex and age groups were satisfactory, and the factor loadings were highly congruent with those obtained in the meta-analysis. Reliability was suitably high (greater than 0.80), especially near the mean scores, but was lower for extreme scores. Thus, the instrument was concluded to be optimal for defining the construct of sensation seeking, consistent with the findings of previous studies.

El presente estudio es transversal con diseño correlacional (Hernández-Sampieri & Mendoza, 2018), su objetivo es relacionar procrastinación y autoeficacia en el contexto académico. Participaron 178 universitarios a quienes se les administró la Escala de Procrastinación Académica (EPA, Dominguez, Villegas & Centeno, 2014) y la escala de Autoeficacia Percibida para Situaciones Académicas (EAPESA, Dominguez, Villegas, Yauri, Mattos & Ramírez, 2012). Se encontró que las variables presentan correlación, la dimensión Autorregulación académica correlaciona positivamente con Autoeficacia académica (.39); asimismo, la dimensión Postergación de actividades correlaciona negativamente con Autoeficacia (-.23); se halló también, que existen diferencias en las dos variables al comparar los tres grupos de alumnos por ciclos, los alumnos de ciclos intermedios presentan mayores niveles de postergación de actividades que los que inician estudios y que los que culminan los estudios, asimismo se encuentran diferencias por género; las mujeres presentan mayores niveles de autorregulación académica.

Las redes sociales impactan positivamente en la cotidianidad, sin embargo, el uso excesivo y descontrolado pueden generar patrones patológicos adictivos. Objetivo. Proponer una versión breve del cuestionario de Adicción a Redes Sociales (ARS-6). Método. Participan 839 adolescentes y jóvenes peruanos (M = 16.17; DE = 3.10). Se implementó un análisis conceptual de ítems basados en el modelo de componentes, se identificaron diferentes modelos de análisis factorial confirmatorio (AFC) para analizar la estructura interna de la escala y de análisis de invarianza de medida (AFC-MG). Resultados. Los modelos AFC identificaron un solapamiento entre las dimensiones (correlaciones >.86) que fue contrastado con un modelo bifactor, además, se implementó un modelo no paramétrico de teoría de respuesta al ítem (Mokken) para el escalamiento de la versión breve. La invariancia de medida para el grupo según género fue identificada en todos sus niveles. Conclusiones. La versión breve presenta adecuada evidencia de validez de su estructura interna y fiabilidad de las puntuaciones para su uso.