Diseño y validación de la "Escala de inteligencia emocional en internet" (EIEI) para adolescentes

Referencias bibliográficas

• Aguilar-Luzón, M. C., Calvo-Salguero, A. y Monteoliva-Sánchez, A. (2012). La inteligencia emocional percibida y su relación con el apego adulto. Behavioral Psychology/Psicología Conductual, 20, 119-135.
• Aradilla-Herrero, A., Tomás-Sábado, J. y Gómez-Benito, J. (2014). Perceived emotional intelligence in nursing: psychometric properties of the Trait Meta-Mood Scale. Journal of Clinical Nursing, 23, 955-966.
• Bar-On, R. (2006). The Bar-On model of emotional-social intelligence (ESI). Psicothema, 18, 13-25.
• Berrocal, P. F. y Pacheco, N. E. (2006). Emotional intelligence: a theoretical and empirical review of its first 15 years of history. Psicothema, 18, 7-12.
• Byrne, B. M. (2006). Structural equation modeling with EQS: basic concepts, application, and programming. New Jersey, NJ: Lawrence Elbaum Associates.
• Casale, S., Tella, L. y Fioravanti, G. (2013). Preference for online social interactions among young people: direct and indirect effects of emotional intelligence. Personality and Individual Differences, 54, 524-529.
• Derks, D., Bos, A. E. R. y Grumbkow, J. (2007). Emoticons and social interaction on the Internet: the importance of social context. Computers in Human Behavior, 23, 842-849.
• Derks, D., Fischer, A. H. y Bos, A. E. R. (2008). The role of emotion in computer-mediated communication: a review. Computers in Human Behavior, 24, 766-785.
• Elipe, P., Ortega, R., Hunter, S. C. y Del Rey, R (2012). Inteligencia emocional percibida e implicación en diversos tipos de acoso escolar. Behavioral Psychology/Psicología Conductual, 20, 169-181.
• Fernandez-Berrocal, P., Extremera, N. y Ramos, N. (2004). Validity and reliability of the Spanish modified version of the Trait Meta-Mood Scale. Psychological Reports, 94, 751-755.
• Garaigordobil, M. (2013). Screening de acoso entre iguales. Madrid: TEA.
• Hu, L.T. y Bentler, P.M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling, 6, 1-55.
• Immordino-Yang, M. H., McColl, A., Damasio, H. y Damasio, A. (2009). Neural correlates of admiration and compassion. Proceedings of the National Academy of Sciences, 106, 8021-8026.
• Jöreskog, K. G. y Sörbom, D. (2013). LISREL 9.2 [computer software]. Lincolnwood, IL: Scientific Software International, Inc.
• Jibril, T. A. y Abdullah, M. H. (2013). Relevance of emoticons in computer-mediated communication contexts: an overview. Asian Social Science, 9, 201-217.
• Krämer, N. y Arvid, K. (2011). Face-to-face communication over the internet: emotions in a web of culture, language, and technology. Cambridge: Cambridge University Press.
• Lara, F. J. P., Carranque, G., Oehling, H., Hernández, J. M. y Oliva, H. (2014). Psychological modulation in patients surgically intervened for gastroesophageal reflux disease. Diseases of the Esophagus, 27, 538-546.
• Leuthold, H., Filik, R., Murphy, K. y Mackenzie, I. G. (2012). The on-line processing of socioemotional information in prototypical scenarios: inferences from brain potentials. Social Cognitive and Affective Neuroscience, 7, 457-466.
• Lizeretti, N. P., Extremera, N. y Rodríguez, A. (2012). Perceived emotional intelligence and clinical symptoms in mental disorders. Psychiatric Quarterly, 83, 407-418.
• Mayer, J. D. y Salovey, P. (1997). What is emotional intelligence? En P. Salovey y D. Sluyter (dirs.), Emotional Development and Emotional Intelligence: implications for Educators (pp. 3-31). Nueva York, NY: Basic Books.
• Mayer, J. D., Salovey, P. y Caruso, D. R. (2012). The validity of the MSCEIT: additional analyses and evidence. Emotion Review, 4, 403-408.
• Munkholm, K., Vinberg, M., Berk, M. y Kessing, L. V. (2012). State-related alterations of gene expression in bipolar disorder: a systematic review. Bipolar Disorders, 14, 684-696.
• Ortega, R., Del Rey, R., Mora-Merchán, J. A., Sánchez, V. y Ortega-Rivera, F. J. (2008). Cuestionario sobre convivencia, conflictos y violencia escolar (docentes). Recuperado desde http://www.uco.es/laecovi/img/recursos/UVymnuCSKR79ZQz.pdf
• Peláez-Fernández, M. A., Extremera, N. y Fernández-Berrocal, P. (2014). Incremental prediction and moderating role of the perceived emotional intelligence over aggressive behavior. Spanish Journal of Psychology, 17, 1-11.
• Peña-Sarrionandia A, Mikolajczak M. y Gross J. J. (2015). Integrating emotion regulation and emotional intelligence traditions: a meta-analysis. Frontiers in Psychology, 6, 1-27.
• Rey, L., Extremera, N. y Pena, M. (2011). Perceived emotional intelligence, self-esteem and life satisfaction in adolescents. Psychosocial Intervention, 20, 227-234.
• Salovey, P. y Mayer, J. D. (1990). Emotional intelligence. Imagination, Cognition, and Personality, 9, 185-211.
• Salovey, P., Mayer, J. D., Goldman, S. L., Turvey, C. y Palfai, T. P. (1995). Emotional attention, clarity, and repair: exploring emotional intelligence using Trait Meta-Mood Scale. En J. W. Pennebaker (dir.), Emotion, disclosure and health. Washington, DC: American Psychological Association.
• Satorra, A. y Bentler, P. M. (2001). A scaled difference chi-square test statistic for moment structure analysis. Psychometrika, 66, 507-514.
• Tolegenova, A. A., Kustubayeva, A. M. y Matthews, G. (2014). Trait Meta-Mood, gender and EEG response during emotion-regulation. Personality and Individual Differences, 65, 75-80.
• van der Merwe, P. (2014). Adolescence, internet use, social adjustment and emotional intelligence. Mediterranean Journal of Social Sciences, 5, 2327-2339.
• Warwick, J. y Nettelbeck, T. (2004). Emotional intelligence is…? Personality and Individual Differences, 37, 1091-1100.
• Webb, C. A., Schwab, Z. J., Weber, M., DelDonno, S., Kipman, M., Weiner, M. R. y Killgore, W. D. S. (2013). Convergent and divergent validity of integrative versus mixed model measures of emotional intelligence. Intelligence, 41, 149-156.