0
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Inteligencia emocional, sintomatología psicopatológica y rendimiento académico en estudiantes de Psicología de Buenos Aires Translated title: Emotional intelligence, psychological symptomatology and academic achievement of Buenos Aires Psychology students

      research-article

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          RESUMEN El objetivo del trabajo fue analizar la Inteligencia Emocional (IE), la Sintomatología Psicopatológica (SP), y el Rendimiento Académico (RA) en estudiantes universitarios de Buenos Aires. La muestra fue de 299 estudiantes (81.6% Mujeres, 18.4% Hombres; M edad=25.32, DE edad=7.05). La recolección de datos se realizó con una encuesta de datos académico-sociodemográficos, el Inventario de Cociente Emocional, y el Symptom-CheckList-90-R. Los resultados obtenidos no evidenciaron diferencias estadísticamente significativas según sexo en relación a la IE, pero sí fueron halladas respecto a sub-escalas de SP (p<.01; p<.05). La IE exhibió asociaciones bajas entre algunas dimensiones y variables de RA; adicionalmente se evidenciaron asociaciones bajas entre estas últimas y sub-escalas de SP. Los resultados hallados se discuten a la luz de reportes internacionales y locales. En conclusión, mayores trabajos del ámbito local son necesarios para clarificar la relación entre el RA e IE y SP. Asimismo, una revisión de los criterios locales de operacionalización del RA se torna imperante.

          Translated abstract

          ABSTRACT The objective of the study was to analyze Emotional Intelligence (EI), Academic Achievement (AA), and Psychological Symptomatology (PS) within university-level students in Buenos Aires. The sample was comprised of 299 students (81.6% Female, 18.4% Male; Mage=25.32, SDage=7.05). Data collection was carried out with a socio-demographic and academic survey, the Emotional-Quotient Inventory, and the Symptom-Checklist-90-R. Results did not exhibit statistically significant differences with regards to gender in EI, but analysis did reveal said differences regarding several PS subscales (p<.01; p<.05). Some EI dimensions exhibited low correlations with AA variables. Additionally, low correlations were observed between PS subscales and said AA variables. Results are discussed in light of current international and local reports. In conclusion, more locally devised research is needed to further enlighten the relationship between AA and both EI and SP. Moreover, a revision of local operationalization criteria regarding AA turns imperative.

          Related collections

          Most cited references25

          • Record: found
          • Abstract: found
          • Article: not found

          Psychological correlates of university students' academic performance: a systematic review and meta-analysis.

          A review of 13 years of research into antecedents of university students' grade point average (GPA) scores generated the following: a comprehensive, conceptual map of known correlates of tertiary GPA; assessment of the magnitude of average, weighted correlations with GPA; and tests of multivariate models of GPA correlates within and across research domains. A systematic search of PsycINFO and Web of Knowledge databases between 1997 and 2010 identified 7,167 English-language articles yielding 241 data sets, which reported on 50 conceptually distinct correlates of GPA, including 3 demographic factors and 5 traditional measures of cognitive capacity or prior academic performance. In addition, 42 non-intellective constructs were identified from 5 conceptually overlapping but distinct research domains: (a) personality traits, (b) motivational factors, (c) self-regulatory learning strategies, (d) students' approaches to learning, and (e) psychosocial contextual influences. We retrieved 1,105 independent correlations and analyzed data using hypothesis-driven, random-effects meta-analyses. Significant average, weighted correlations were found for 41 of 50 measures. Univariate analyses revealed that demographic and psychosocial contextual factors generated, at best, small correlations with GPA. Medium-sized correlations were observed for high school GPA, SAT, ACT, and A level scores. Three non-intellective constructs also showed medium-sized correlations with GPA: academic self-efficacy, grade goal, and effort regulation. A large correlation was observed for performance self-efficacy, which was the strongest correlate (of 50 measures) followed by high school GPA, ACT, and grade goal. Implications for future research, student assessment, and intervention design are discussed.
            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            Do psychosocial and study skill factors predict college outcomes? A meta-analysis.

            This study examines the relationship between psychosocial and study skill factors (PSFs) and college outcomes by meta-analyzing 109 studies. On the basis of educational persistence and motivational theory models, the PSFs were categorized into 9 broad constructs: achievement motivation, academic goals, institutional commitment, perceived social support, social involvement, academic self-efficacy, general self-concept, academic-related skills, and contextual influences. Two college outcomes were targeted: performance (cumulative grade point average; GPA) and persistence (retention). Meta-analyses indicate moderate relationships between retention and academic goals, academic self-efficacy, and academic-related skills (ps =.340,.359, and.366, respectively). The best predictors for GPA were academic self-efficacy and achievement motivation (ps =.496 and.303, respectively). Supplementary regression analyses confirmed the incremental contributions of the PSF over and above those of socioeconomic status, standardized achievement, and high school GPA in predicting college outcomes.
              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              Convergent, discriminant, and incremental validity of competing measures of emotional intelligence.

              This study investigated the convergent, discriminant, and incremental validity of one ability test of emotional intelligence (EI)--the Mayer-Salovey-Caruso-Emotional Intelligence Test (MSCEIT)--and two self-report measures of EI--the Emotional Quotient Inventory (EQ-i) and the self-report EI test (SREIT). The MSCEIT showed minimal relations to the EQ-i and SREIT, whereas the latter two measures were moderately interrelated. Among EI measures, the MSCEIT was discriminable from well-studied personality and well-being measures, whereas the EQ-i and SREIT shared considerable variance with these measures. After personality and verbal intelligence were held constant, the MSCEIT was predictive of social deviance, the EQ-i was predictive of alcohol use, and the SREIT was inversely related to academic achievement. In general, results showed that ability EI and self-report EI are weakly related and yield different measurements of the same person.
                Bookmark

                Author and article information

                Contributors
                Role: ND
                Role: ND
                Role: ND
                Journal
                academo
                Academo (Asunción)
                Acad. (Asunción)
                Universidad Americana (Asuncion, central, Paraguay )
                2414-8938
                December 2019
                : 6
                : 2
                : 111-123
                Affiliations
                [1] Ciudad de Buenos Aires orgnameUniversidad de Buenos Aires orgdiv1Facultad de Psicología, Instituto de Investigaciones en Psicología Argentina franco.tisocco@ 123456hotmail.com
                [2] Ciudad de Buenos Aires orgnameUniversidad de Buenos Aires orgdiv1Facultad de Psicología orgdiv2Instituto de Investigaciones en Psicología Argentina flavia.bruno@ 123456yahoo.com.ar
                [4] Ciudad de Buenos Aires orgnameUniversidad de Buenos Aires orgdiv1Facultad de Psicología Argentina julianastover@ 123456psi.uba.ar
                [3] Buenos Aires Buenos Aires orgnameConsejo Nacional de Investigaciones Científicas y Técnicas Argentina
                Article
                S2414-89382019000200111
                10.30545/academo.2019.jul-dic.2
                398d13fd-19e8-4001-bfbd-296af6676407

                This work is licensed under a Creative Commons Attribution 4.0 International License.

                History
                : 27 May 2019
                : 01 February 2019
                Page count
                Figures: 0, Tables: 0, Equations: 0, References: 41, Pages: 13
                Product

                SciELO Paraguay

                Categories
                ARTICULO ORIGINAL

                Clinical Psychology,Educational Psychology,Psicometría,Psicología de la Educación,Psicología Clínica,Psychometrics

                Comments

                Comment on this article