Análisis estructural de una versión breve de la Trait Meta-Mood Scale en adolescentes peruanos

Autores/as

DOI:

https://doi.org/10.12795/revistafuentes.2023.22077

Palabras clave:

inteligencia emocional, adolescentes, validez, fiabilidad, análisis factorial, invarianza de medición, versión breve

Resumen

La inteligencia emocional es un aspecto clave para lograr interacciones saludables en el contexto educativo, por lo que su evaluación con fines de mejora es importante. El Trait Meta-Mood Scale (TMMS) es uno de los instrumentos más usados para evaluar la inteligencia emocional, pero no existen suficientes estudios en Latinoamérica que aborden sus propiedades psicométricas. Entonces, el objetivo de este estudio fue analizar la estructura interna (análisis factorial e invarianza de medición) de la TMMS en adolescentes peruanos, y obtener una versión breve. El estudio fue instrumental y se evaluó 492 adolescentes (52% hombres; Rangoedad = 12–17; Medad = 12.468; DTedad = 1.503) del primer al quinto grado de Educación Secundaria, procedentes de un colegio de Lima Metropolitana. Se analizaron tres modelos de medición: modelo original de tres factores, modelo bifactor, y modelo bifactor S-1. La invarianza de medición se analizó con un análisis factorial de grupo múltiple. El modelo de tres factores obtuvo mejor respaldo psicométrico y fue invariante según sexo y edad. Posteriormente, se obtuvo una versión breve de la TMMS de 12 ítems (TMMS-12) considerando diversos criterios (carga factorial y simplicidad factorial, entre otros), la cual tuvo evidencia psicométrica favorable: equivalencia empírica con la TMMS, estructura interna bien definida, y coeficientes de fiabilidad adecuados. Se concluye que la TMMS-12 presenta evidencia psicométrica favorable.

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Acosta, F. P., & Clavero, F. (2017). La inteligencia emocional como predictora del rendimiento académico: El contexto pluricultural de Ceuta. Revista Complutense de Educación, 28(4), 1251-1265. https://doi.org/10.5209/RCED.51712

Aritzeta, A., Balluerka, N., Gorostiaga, A., Alons-Arbiol, I., Haranburu, M., & Gartzia, L. (2016). Classroom emotional intelligence and its relationship with school performance. European Journal of Education and Psychology, 9(1), 1-8. http://doi.org/10.1016/j.ejeps.2015.11.001

Asparouhov, T., & Muthen, B. O. (2009). Exploratory structural equation modeling. Structural Equation Modeling: A Multidisciplinary Journal, 16(3), 397–438. https://doi.org/10.1080/10705510903008204

Ato, M., López-García, J. J., & Benavente, A. (2013). Un sistema de clasificación de los diseños de investigación en psicología. Anales de Psicología, 29(3), 1038-1059. https://doi.org/10.6018/analesps.29.3.178511

Bar‐On, R. (1997). BarOn emotional quotient inventory (BarOn EQ‐i). Multi‐Health Systems Inc.

Bar-On, R. (2006). The Bar-On model of emotional-social intelligence (ESI). Psicothema, 18, 13-25.

Bar-On, R., & Parker, J. D. (2000). Bar-On Emotional Quotient Inventory: Yourth version. Multi-Health Systems.

Brandt, N. D., Becker, M., Tetzner, J., Brunner, M., Kuhl, P., & Maaz, K. (2020). Personality across the lifespan: Exploring measurement invariance of a Short Big Five Inventory from ages 11 to 84. European Journal of Psychological Assessment, 36(1), 162. https://doi.org/10.1027/1015-5759/a000490

Brook, C. A., & Schmidt, L. A. (2020). Lifespan trends in sociability: Measurement invariance and mean-level differences in ages 3 to 86 years. Personality and Individual Differences, 152, 109579. https://doi.org/10.1016/j.paid.2019.109579

Brown, T. A. (2015). Confirmatory factor analysis for applied research (2nd ed.). Guilford Press

Browne, M. W., & Cudeck, R. (1993). Alternative ways of assessing model fit. In K. A. Bollen & J. S. Long (Eds.), Testing structural equation models (pp. 445–455). Sage.

Bru-Luna, L.M., Martí-Vilar, M.. Merino-Soto, C., & Cervera-Santiago, J.L. (2021). Emotional intelligence measures: A systematic review. Healthcare, 9, 1696. https://doi.org/10.3390/healthcare9121696

Canivez, G. L. (2016). Bifactor modeling in construct validation of multifactored tests: Implications for multidimensionality and test interpretation. In K. Schweizer & C. DiStefano (Eds.), Principles and methods of test construction: Standards and recent advancements (pp. 247–271). Hogrefe Publishers.

Casino-García, A. M., Llopis-Bueno, M. J., & Llinares-Insa, L. I. (2021). Emotional intelligence profiles and self-esteem/self-concept: An analysis of relationships in gifted students. International Journal of Environmental Research and Public Health, 18(3), 1006. https://doi.org/10.3390/ijerph18031006

Chen, F.F. (2007). Sensitivity of goodness of fit indexes to lack of measurement invariance. Structural Equation Modeling: A Multidisciplinary Journal, 14(3), 464-504. https://doi.org/10.1080/10705510701301834

Ciarrochi, J., Chan, A., Caputi, P., & Roberts, R. (2001). Measuring emotional intelligence. In J. Ciarrochi, J. P. Forgas, & J. D. Mayer (Ed.), Emotional intelligence in everyday life: A scientific inquiry (pp. 25-45). Taylor & Francis.

Clark, L. A. & Watson, D. (1995). Constructing validity: Basic issues in objective scale development. Psychological Assessment, 7(3), 309–319.https://doi.org/10.1037/1040-3590.7.3.309.

Costa, A., & Faria, L. (2015). The impact of emotional intelligence on academic achievement: A longitudinal study in Portuguese secondary school. Learning and Individual Differences, 37, 38-47. https://doi.org/10.1016/j.lindif.2014.11.011

Cronbach, L. J. (1951). Coefficient alpha and the internal structure of tests. Psychometrika, 16, 297-334. https://doi.org/10.1007/BF02310555

Dans-Álvarez-de-Sotomayor, I., Muñoz Carril, P.-C., & González Sanmamed, M. (2021). Hábitos de uso de las redes sociales en la adolescencia: desafíos educativos. Revista Fuentes, 23(3), 280–295. https://doi.org/10.12795/revistafuentes.2021.15691

Diaz-Castela, M.M., Hale, W.W., Muela, J.A., Espinosa-Fernández, L., Klimstra, T., & Garcia-Lopez, L.J. (2013). The measurement of perceived emotional intelligence for Spanish adolescents with social anxiety disorder symptoms. Anales de psicología, 29(2), 509-515. http://dx.doi.org/10.6018/analesps.29.2.144271

DiStefano, C., Liu, J., Jiang, N., & Shi, D. (2018). Examination of the weightedroot mean square residual: Evidence for trustworthiness? Structural Equation Modeling: A Multidisciplinary Journal, 25(3), 453-466. https://doi.org/10.1080/10705511.2017.1390394

Dominguez-Lara, S. (2016). Análisis factorial exploratorio y complejidad factorial: más allá de las rotaciones. Enfermería Clínica, 26(6), 401. https://doi.org/10.1016/j.enfcli.2016.06.001

Dominguez-Lara, S. (2018). Propuesta de puntos de corte para cargas factoriales: una perspectiva de fiabilidad de constructo. Enfermería Clínica, 28(6), 401 – 402. https://doi.org/10.1016/j.enfcli.2018.06.002

Dominguez-Lara, S. (2019). Correlation between residuals in confirmatory factor analysis: a brief guide to their use and interpretation. Interacciones, 5(3), e207. https://doi.org/10.24016/2019.v5n3.207

Dominguez-Lara, S., & Merino-Soto, C. (2018). Dos versiones breves del Big Five Inventory en universitarios peruanos: BFI-15p y BFI-10p. LIBERABIT. Revista Peruana de Psicología, 24(1), 81-96. https://doi.org/10.24265/liberabit.2018.v24n1.06

Dominguez-Lara, S. A., Fernández-Arata, M., & Seperak-Viera, R. (2021). Análisis psicométrico de una medida ultra-breve para el engagement académico: UWES-3S. Revista Argentina de Ciencias del Comportamiento (RACC), 13(1), 25–37. https://doi.org/10.32348/1852.4206.v13.n1.27780

Dou, S., Han, Ch., Li, C., Liu, X., & Gan, W. (2022). Influence of emotional intelligence on the clinical ability of nursing interns: a structural equation model. BMC Nursing 21, 149. https://doi.org/10.1186/s12912-022-00933-y

Eid, M. (2020). Multi-faceted constructs in abnormal psychology: Implications of the bifactor S - 1 model for individual clinical assessment. Journal of Abnormal Child Psychology, 48(7), 895–900. https://doi.org/10.1007/s10802-020-00624-9

Eisenstein, E. (2005). Adolescência: definições, conceitos e critérios. Adolescência & Saúde, 2(2), 6-7. https://bit.ly/3PufgSv

Extremera, N., & Fernández-Berrocal, P. (2005). Perceived emotional intelligence and life satisfaction: predictive and incremental validity using the Trait Meta-Mood Scale. Personality and Individual Differences, 39, 937- 948. https://bit.ly/3ClrYzU

Extremera, N., & Fernández-Berrocal, P. (2015). Inteligencia Emocional y Educación: Colección Psicología Bienestar y Salud, 7. Editorial Grupo 5.

Fernández-Berrocal, P., & Extremera, N. (2006). Emotional intelligence: A theoretical and empirical review of its first 15 years of history. Psicothema, 18, 7-12. https://www.psicothema.com/pdf/3270.pdf

Fernández-Berrocal, P., Cabello, R., & Gutiérrez-Cobo, M.J. (2017). Avances en la investigación sobre competencias emocionales en educación. Revista Interuniversitaria de Formación del Profesorado, 31(1), 15-26. https://www.redalyc.org/journal/274/27450136003/html/

Fernández-Berrocal, P., Extremera, N., & Ramos, N. (2004). Validity and reliability of the Spanish modified version of the Trait Meta-Mood Scale. Psychological Reports, 94(3), 751-755. https://doi.org/10.2466/pr0.94.3.751-755

Flores-Kanter, P. E., Dominguez-Lara, S., Trógolo, M. A., & Medrano, L. A. (2018). Best practices in the use of bifactor models: Conceptual grounds, fit indices and complementary indicators. Revista Evaluar, 18(3), 44–48. https://doi.org/10.35670/1667-4545.v18.n3.22221

Galarza, A.L., Castañeiras, C.E., & Liporace, M.F. (2018). Predicción de comportamientos suicidas y autolesiones no suicidas en adolescentes argentinos. Interdisciplinaria, 35(2), 307-326. https://bit.ly/3R8olSr

Gest, S. D., Madill, R. A., Zadzora, K. M., Miller, A. M., & Rodkin, P.C. (2014). Teacher management of elementary classroom social dynamics: Associations with changes in student adjustment. Journal of Emotional and Behavioral Disorders, 22(2), 107-118. https://doi.org/10.1177/1063426613512677

Gignac, G. E., & Kretzschmar, A. (2017). Evaluating dimensional distinctness with correlated-factor models: Limitations and suggestions. Intelligence, 62, 138 - 147. https://doi.org/10.1016/j.intell.2017.04.001

Gignac, G. E., Bates, T. C., & Jang, K. (2007). Implications relevant to CFA model misfit, reliability, and the Five Factor Model as measured by the NEO-FFI. Personality and Individual Differences, 43(5), 1051–1062. https://doi.org/10.1016/j.paid.2007.02.024.

Gómez-Núñez, M.I., Torregrosa, M.S., Inglés, C.J.,. Lagos, N.G., Sanmartín, R., Vicent, M., & García-Fernández, J.M. (2018). Factor invariance of the Trait Meta-Mood Scale–24 in a sample of chilean adolescents, Journal of Personality Assessment, 102(2), 231–237. https://doi.org/10.1080/00223891.2018.1505730

Godoy-Rojas, I. A., & Moreno, M. S. (2021). Estudio sobre la inteligencia emocional en educación primaria. Revista Fuentes, 23(2), 254 - 267. https://doi.org/10.12795/revistafuentes.2021.12108

Goldenberg, I., Matheson, K., & Mantler, J. (2006). The assessment of emotional intelligence: A comparison of performance- based and self-report methodologies. Journal of Personality Assessment, 86, 33-45. https://doi.org/10.1207/s15327752jpa8601_05

Gorostiaga, A., Balluerka, N., & Soroa, G. (2014). Evaluación de la empatía en el ámbito educativo y su relación con la inteligencia emocional. Revista de educación, 364, 12-38. https://doi.org/10.4438/1988-592X-RE-2014-364-253

Gorostiaga, A., Balluerka, N., Aritzeta, A., Haranburu, M., & Alonso-Arbiol, I. (2011). Measuring perceived emotional intelligence in adolescent population: Validation of the Short Trait Meta-Mood Scale (TMMS-23). International Journal of Clinical and Health Psychology, 11(3), 523-537. https://www.redalyc.org/pdf/337/33719289007.pdf

Górriz, A. B., Etchezahar, E., Pinilla-Rodríguez, D. E., Giménez-Espert, M. D. C., & Soto-Rubio, A. (2021). Validation of TMMS-24 in Three Spanish-Speaking Countries: Argentina, Ecuador, and Spain. International Journal of Environmental Research and Public Health, 18(18), 9753. https://doi.org/10.3390/ijerph18189753

Hain, S., Schermelleh-Engel, K., Freitag, C., Louwen, F., & Oddo, S. (2016). Development of a short form of the Personality Styles and Disorder Inventory (PSDI-6): Initial validation in a sample of pregnant women. European Journal of Psychological Assessment, 32(4), 283–290.https://doi.org/10.1027/1015-5759/a000260

Hang, Y., Soto, C., Speyer, L. G., Haring, L., Lee, B., Ostendorf, F., & Mõttus, R. (2021). Age differences in the personality hierarchy: A multi-sample replication study across the life span. Journal of Research in Personality, 93, 104121. https://doi.org/10.1016/j.jrp.2021.104121

Heene, M., Hilbert, S., Draxler, C., Ziegler, M., & Bühner, M. (2011). Masking misfit in confirmatory factor analysis by increasing unique variances: A cautionary note on the usefulness of cutoff values of fit indices. Psychological Methods, 16(3), 319- 336. https://doi.org/10.1037/a0024917

Hunsley, J., & Marsh, E.J. (2008). Developing criteria for evidence-based assessment: An introduction to assessment that work. In J. Hunsley & E. J. Marsh (Eds.) A guide to assessments that work (pp. 3-14). Oxford University Press.

Jones, E., Mitra, A. K., & Bhuiyan, A. R. (2021). Impact of COVID-19 on Mental Health in Adolescents: A Systematic Review. International Journal of Environmental Research and Public Health, 18(5), 2470. https://doi.org/10.3390/ijerph18052470

Joseph, D. L., & Newman, D. A. (2010). Emotional intelligence: An integrative meta‐analysis and cascading model. Journal of Applied Psychology, 95(1), 54-78. https://doi.org/10.1037/a0017286

Lara, L., Monje, M. F., Fuster-Villaseca, J., & Dominguez-Lara, S. (2021). Adaptación y validación del Big Five Inventory para estudiantes universitarios chilenos. Revista Mexicana de Psicología, 38(2), 83-94. https://bit.ly/3CdF5DA

Levy, P. (1967). The correction for spurious correlation in the evaluation of short-form tests. Journal of Clinical Psychology, 23(1), 84-86. https://doi.org/10.1002/1097-4679(196701)23:1<84::aid-jclp2270230123>3.0.co;2-2

MacCann, C., Jiang, Y., Brown, L. E. R., Double, K. S., Bucich, M., & Minbashian, A. (2020). Emotional intelligence predicts academic performance: A meta analysis. Psychological Bulletin, 146(2), 150-186. https://doi.org/10.1037/bul0000219

Marsh, H.W., Morin, A.J., Parker, P.D., & Kaur, G. (2014). Exploratory structural equation modeling: An integration of the best features of exploratory and confirmatory factor analysis. Annual Review of Clinical Psychology, 10, 85-110. https://doi.org/10.1146/annurev-clinpsy-032813-153700

Martínez-Martínez, A. M., López-Liria, R., Aguilar-Parra, J. M., Trigueros, R., Morales-Gázquez, M. J., Rocamora-Pérez, P. (2020). Relationship between emotional intelligence, cybervictimization, and academic performance in secondary school students. International Journal of Environmental Research and Public Health, 17(21), 7717. https://doi.org/10.3390/ijerph17217717

Marques, S. D., & Carvalho, D. J. (2012). Sucesso escolar e inteligência emocional. Millenium, 42(1), 7-84. https://revistas.rcaap.pt/millenium/article/view/8195

Mayer, J. D., & Salovey, P. (1997). What is emotional intelligence? In P. Salovey and D. Sluyter (Eds.), Emotional development and emotional intelligence: Implications for educators (pp. 3-31). Basic Books.

Mayer, J. D., Caruso, D. R., & Salovey, P, (2016). The ability model of emotional intelligence: Principles and updates. Emotion Review. 8, 290-300. https://doi.org/10.1177/1754073916639667

Mayer, J. D., Roberts, R. D., & Barsade, S. G. (2008). Human abilities: Emotional intelligence. Annual Review of Psychology, 59, 507–536.https://doi.org/10.1146/annurev.psych.59.103006.093646

Mayer, J. D., Salovey, P., & Caruso, D. R. (2002). MSCEIT: Mayer‐Salovey‐Caruso Emotional Intelligence Test. Multi‐Health Systems

Mayer, J. D., Salovey, P., & Caruso, D. R. (2004). Emotional intelligence: Theory, findings and implications. Psychological Inquiry, 15, 197-215. https://doi.org/10.1207/s15327965pli1503_02

McDonald, R. P., & Ho, M.-H. R. (2002). Principles and practice in reporting structural equation analyses. Psychological Methods, 7(1), 64–82. https://doi.org10.1037/1082-989X.7.1.64

Meherali, S., Punjani, N., Louie-Poon, S., Abdul Rahim, K., Das, J. K., Salam, R. A., & Lassi, Z. S. (2021). Mental health of children and adolescents amidst COVID-19 and past pandemics: a rapid systematic review. International Journal of Environmental Research and Public Health, 18(7), 3432. https://doi.org/10.3390/ijerph18073432

Merino-Soto, C., Navarro-Loli, J. S., & García-Ramírez, W. (2014). Revisión de la consistencia interna del Inventario de Inteligencia Emocional del Bar-On, EQ-I:YV. Revista Peruana de Psicología y Trabajo Social, 3(1), 141-154. https://doi.org/10.13140/2.1.2293.7284

Morin, A. J. S., Arens, A. K., & Marsh, H. W. (2016). A bifactor exploratory structural equation modeling framework for the identification of distinct sources of construct-relevant psychometric multidimensionality. Structural Equation Modeling: A Multidisciplinary Journal, 23(1), 116–139. https://doi.org/10.1080/10705511.2014.961800

Murray, A. L., & Johnson, W. (2013). The limitations of model fit in comparing the bi-factor versus higher-order models of human cognitive ability structure. Intelligence, 41(5), 407–422. https://doi.org/10.1016/j.intell.2013.06.004

Muthén, L.K., & Muthén, B.O. (1998 – 2015). Mplus User’s Guide. Muthén & Muthén.Press.

Ondé, D., Alvarado, J.M., Sastre, S., & Azañedo, C.M. (2021). Application of S-1 bifactor model to evaluate the structural validity of TMMS-24. International Journal of Enviromental Research and Public Health, 18, 7427. https://doi.org/10.3390/ijerph18147427

Pedrosa, I., Suárez-Álvarez, J., Lozano, L. M., Muñiz, J., & García-Cueto, E. (2014). Assessing perceived emotional intelligence in adolescents: New validity evidence of Trait Meta-Mood Scale–24. Journal of Psychoeducational Assessment, 32(8), 737–746. https://doi.org/10.1177/0734282914539238

Pérez-Fuentes, M., Gázquez-Linares, J. J., & Mercader-Rubio, I. (2014). Brief emotional intelligence inventory for senior citizens (EQ-i-M20). Psicothema, 26(4), 524-530. https://doi.org/10.7334/psicothema2014.166

Pérez-Fuentes, M., Molero-Jurado, M., Barragán-Martín, A. B., & Gázquez-Linares, J. J. (2019). Family funtioning, emotional intelligence, and values: Analysis of the relationship with aggressive behavior in adolescents. International Journal of Environmental Research and Public Health, 16(3), 478. https://doi.org/10.3390/ijerph16030478

Petrides, K. v, & Furnham, A. (2000). Gender differences in measured and self‐estimated trait emotional intelligence. Sex Roles, 42(5/6), 449-461. https://doi.org/10.1023/A:1007006523133

Petrides, K. V., Frederickson, N., & Furnham, A. (2004). The role of trait emotional intelligence in academic performance and deviant behavior at school. Personality and Individual Differences, 36(2), 277-293. https://doi.org/10.1016/S0191-8869(03)00084-9

Petrides, K. v, Sangareau, Y., Furnham, A., & Frederickson, N. (2006). Trait emotional intelligence and children's peer relations at school. Social Development, 15(3), 537-547. https://doi.org/10.1111/j.1467-9507.2006.00355.x

Ponterotto, J., & Charter, R. (2009). Statistical extensions of Ponterotto and Ruckdeschel’s (2007) reliability matrix for estimating the adequacy of internal consistency coefficients. Perceptual and Motor Skills, 108(3), 878-886. https://doi.org/10.2466/PMS.108.3.878-886

Ramos-Díaz, E., Jiménez-Jiménez, V., Rodríguez-Fernández, A., Fernández-Zabala, A., & Axpe, I. (2017). Entrenamiento de la inteligencia emocional en el caso de una adolescente víctima de maltrato infantil. Revista de Psicología Clínica con Niños y Adolescentes, 4(1), 17-24. https://bit.ly/3pp0ceb

Roberts, R. D., Zeidner, M., & Matthews, G. (2001). Does emotional intelligence meet traditional standards for an intelligence? Some new data and conclusions. Emotion, 1, 196–231. https://doi.org/10.1037/1528-3542.1.3.196

Rodríguez, A., Reise, S.P., & Haviland, M.G. (2016). Applying Bifactor Statistical Indices in the Evaluation of Psychological Measures. Journal of Personality Assessment, 98(3), 223-237. https://doi.org/10.1080/00223891.2015.1089249

Ruiz-Mamani, P. G., Cunza-Aranzábal, D. F., White, M., Quinteros-Zúñiga, D., Jaimes-Soncco, J. E., & Morales-García, W. C. (2022). Psychometric Properties of the Trait Meta-Mood scale for measuring Emotional Intelligence in Peruvian students. Behavioral Psychology/ Psicologia Conductual, 30(2), 447-463. https://doi.org/10.51668/bp.8322207n

Ruvalcaba, N., Fuerte, J., & Robles, F. (2015). Comunicación con padres y docentes como factor protector de los adolescentes ante las conductas disociales. Educación y Ciencia, 4(44), 57-67. https://bit.ly/3dDimGp

Salguero, J.M., Fernández-Berrocal, P., Balluerka, N. & Aritzet, A. (2010). Measuring perceived emotional intelligence in the adolescent population: Psychometric properties of the Trait Meta-Mood Scale. Social Behavior and Personality, 38(9), 1197-1210. https://doi.org/10.2224/sbp.2010.38.9.1197

Salovey, P., Mayer, J. D., Goldman, S. L., Turvey, C., & Palfai, T. P. (1995). Emotional attention, clarity, and repair: Exploring emotional intelligence using the Trait Meta-Mood Scale. In J. W. Pennebaker (Eds.), Emotion, disclosure, and health (pp. 125-154). American Psychological Association.

Sánchez, B. (2021). Impacto psicológico de la COVID-19 en niños y adolescentes. MEDISAN, 25(1), 123-141. https://bit.ly/3CbnVGn

Sigüenza-Marín, V. S., Carballido-Guisado, R., Pérez-Albéniz, A., & Fonseca-Pedrero, E. (2019). Implementación y evaluación de un programa de inteligencia emocional en adolescentes. Universitas Psychologica, 18(3), 1-13. https://doi.org/10.11144/Javeriana.upsy18-3.iepi

Sijtsma, K. (2009). On the use, the misuse, and the very limited usefulness of Cronbach’s alpha. Psychometrika, 74(1), 107-120. https://doi.org/10.1007/s11336-008-9101-0

Simms, L. J., & Watson, D. (2007). The construct validation approach to personality scale construction. In R. Robins, C. Fraley, & R. Krueger (Eds.), Handbook of Research Methods in Personality Psychology. Guilford Press.

Smith, G., McCarthy, D. M., & Anderson, K. G. (2000). On the sins of short-form development. Psychological Assessment, 12(1), 102-111. https://doi.org/10.1037//1040-3590.12.1.102

Song, L. J., Huang, G. H., Peng, K. Z., Law, K. S., Wong, C.S., & Chen, Z. (2010). The differential effects of general mental ability and emotional intelligence on academic performance and social interactions. Intelligence, 38(1), 137-143. https://doi.org/10.1016/j.intell.2009.09.003

Soper, DS. (2022). A-priori sample size calculator for structural equation models [Software]. https://bit.ly/3w6XbTN

Stucky, B. D. & Edelen, M. O. (2015). Using hierarchical IRT models to create unidimensional measures from multidimensional data. In S. P. Reise & D. A. Revicki (Eds.), Handbook of item response theory modeling: Applications to typical performance assessment, 183-206. Routledge.

Stucky, B. D., Thissen, D. & Edelen, M. O. (2013). Using logistic approximations of marginal trace lines to develop short assessments. Applied Psychological Measurement, 37(1), 41-57. https://doi.org/10.1177/0146621612462759

Supervía, P. U., & Bordás, C. S. (2018). Motivación escolar, inteligencia emocional y rendimento académico en estudiantes de educación secundaria obligatoria. Actualidades en Psicología, 32(125), 95-112. https://doi.org/10.15517/ap.v32i125.32123

Supervía, P. U., & Bordás, C. S. (2019). El rendimiento escolar, la inteligencia emocional y el engagement académico en una muestra de escolares. Electronic Journal of Research in Educational Psychology, 17(1), 5-26. https://doi.org/10.25115/ejrep.v17i47.1879

Takšić, V., Mohorić, T., & Duran, M. (2009). Emotional skills and competence questionnaire (ESCQ) as a self-report measure of emotional intelligence. Horizons of Psychology, 18(3), 7-21. http://psiholoska-obzorja.si/arhiv_clanki/2009_3/taksic_mohoric_duran.pdf

Tang, W., Yan, Z., Lu, Y., & Xu, J. (2022). Prospective examination of adolescent emotional intelligence and post-traumatic growth during and after COVID-19 lockdown. Journal of Affective Disorders, 309, 368-374. https://doi.org/10.1016/j.jad.2022.04.129

Toth-Kiraly, I., Bothe, B., Rigo, A., & Orosz, G. (2017). An illustration of the exploratory structural equation modeling (ESEM) framework on the passion scale. Frontiers in Psychology, 8, 1968. https://doi.org/10.3389/fpsyg.2017.01968

Trigueros, R., Sanchez-Sanchez, E., Mercader, I., Aguilar-Parra, J. M., López-Liria, R., Morales-Gázquez, M. J., Fernández-Campoy, J. M., & Rocamora, P. (2020). Relationship between emotional intelligence, social skills and peer harassment. A study with high school students. International Journal of Environmental Research and Public Health 17, 4208. https://doi.org/10.3390/ijerph17124208

Ugarriza, N. (2001). La evaluación de la inteligencia emocional a través del inventario de BarOn (I-CE) en una muestra de Lima metropolitana. Persona, 4, 129-160. https://repositorio.ulima.edu.pe/handle/20.500.12724/2195

Ugarriza, N., & Pajares, L. (2005). La evaluación de la inteligencia emocional a través del inventario de BarOn ICE: NA, en una muestra de niños y adolescentes. Persona, 8, 11-58. https://dialnet.unirioja.es/descarga/articulo/2872458.pdf

Valente, S., & Lourenço, A. A. (2020). Questionário de Inteligência Emocional do Professor: adaptação e validação do “Emotional Skills and Competence Questionnaire”. Revista de Estudios e Investigación en Psicología y Educación, 7(1), 12-24. https://doi.org/10.17979/reipe.2020.7.1.5480

Wong, C.S., & Law, K. S. (2002). The effects of leader and follower emotional intelligence on performance and attitude. The Leadership Quarterly, 13(3), 243-274. https://doi.org/10.1016/S1048-9843(02)00099-1

World Health Organization (2018). Global Status Report on Alcohol and Health. https://bit.ly/3dzxLHW

World Health Organization (2020). Mental health and psychosocial considerations during the COVID-19 outbreak. https://www.who.int/publications/i/item/WHO-2019-nCoV-MentalHealth-2020.1

Zinbarg, R. E., Yovel, I., Revelle, W., & McDonald, R. P. (2006). Estimating generalizability to a latent variable common to all of a scale's indicators: A comparison of estimators for ωh. Applied Psychological Measurement, 30(2), 121-144. https://doi.org/10.1177/0146621605278814

Zou, G. (2007). Toward using confidence intervals to compare correlations. Psychological Methods, 12(4), 39-413. https://doi.org/10.1037/1082-989X.12.4.399

Publicado

2023-01-23

Cómo citar

Dominguez-Lara, S., Peceros-Pinto, B., Valente, S. N. ., Lourenço, A. A., & Flores-Cataño, K. R. (2023). Análisis estructural de una versión breve de la Trait Meta-Mood Scale en adolescentes peruanos. Revista Fuentes, 25(1), 82–100. https://doi.org/10.12795/revistafuentes.2023.22077

Número

Sección

Investigaciones
Recibido 2022-09-26
Aceptado 2022-12-04
Publicado 2023-01-23
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