Propriedades psicométricas da escala de inteligência emocional de Wong e Law em professores Portugueses
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A inteligência emocional é considerada uma competência importante. No entanto, em Portugal, são poucos os instrumentos que avaliam este constructo em professores. Considerando que a Wong and Law Emotional Intelligence Scale (WLEIS) é uma escala com boas propriedades psicométricas que avalia a perceção da inteligência emocional, o presente estudo teve por objetivo analisar as propriedades psicométricas da WLEIS em professores portugueses. Participaram no estudo 835 professores, dos ensinos básico e secundário, de escolas públicas. A análise fatorial realizada mostra que a estrutura de quatro fatores, obtida através do exploratory structural equation modeling, apresenta evidências favoráveis, assim como adequada fiabilidade do constructo e fiabilidade das pontuações adequadas. Portanto, a estrutura proposta pelos autores da WLEIS pode ser aplicada em professores portugueses.
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Acosta-Prado, J. C., & Zárate-Torres, R. A. (2019). Validation of the Wong and Law emotional intelligence scale for Chilean managers. Suma psicológica, 26(2), 110-118. https://doi.org/10.14349/sumapsi.2019.v26.n2.7
Acosta-Prado, J. C., Zárate-Torres, R. A., & Tafur-Mendoza, A. A. (2022). Psychometric Properties of the Wong and Law Emotional Intelligence Scale in a Colombian manager sample. Journal of Intelligence, 10(2), 29. https://doi.org/10.3390/jintelligence10020029
Asparouhov, T., & Muthén, B. (2009). Exploratory structural equation modeling. Structural Equation Modeling: A Multidisciplinary Journal, 16(3), 397-438. https://doi.org/10.1080/10705510903008204
Becker, E. S., Goetz, T., Morger, V., & Ranellucci, J. (2014). The importance of teachers’ emotions and instructional behavior for their students’ emotions: An experience sampling analysis. Teaching and Teacher Education, 43, 15-26. https://doi.org/10.1016/j.tate.2014.05.002
Brackett, M. A., & Katulak, N. A. (2007). Emotional intelligence in the classroom: Skill-based training for teachers and students. In Joseph C., John D. M. (Eds.), Improving Emotional Intelligence: A practitioner’s Guide (pp. 1-27). Psychology Press. https://doi.org/10.4324/9781315782935
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.
Canivez, G. L. (2016). Bifactor modeling in construct validation of multifactored tests: Implications for understanding multidimensional constructs and test interpretation. In K. Schweizer., & DiStefano, C. (Eds.), Principles and methods of test construction: Standards and recent advances (pp. 247–271). Hogrefe. https://psycnet.apa.org/record/2016-44627-012
Carvalho, V. S., Guerrero, E., Chambel, M. J., & González-Rico, P. (2016). Psychometric properties of WLEIS as a measure of emotional intelligence in the Portuguese and Spanish medical students. Evaluation and Program Planning, 58, 152-159. https://doi.org/10.1016/j.evalprogplan.2016.06.006
Costa, H., & Fernandes, H. M. (2020). Propriedades psicométricas da Escala de Inteligência Emocional de Wong e Law em adolescentes. In A. Veiga-Branco, A. Suarez, & P. Alves (Coord.), I Congresso Internacional Inteligência Emocional: Livro de Atas. Instituto Politécnico de Bragança
Davies, M. D., Stankov, L., & Roberts, R. D. (1998). Emotional intelligence: In search of an elusive construct. Journal of Personality and Social Psychology, 75, 989-1015. https://doi.org/10.1037/0022-3514.75.4.989
Declaration of Helsinki (2013). Ethical principles for medical research involving human subjects. JAMA, 310(20), 2191-2194. https://doi.org/10.1001/jama.2013.281053
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. & Rodriguez, A. (2017). Índices estadísticos de modelos bifactor. Interacciones, 3(2), 59-65. https://doi.org/10.24016/2017.v3n2.51
Dominguez-Lara, S., Gravini-Donado, M., & Torres-Villalobos, G. (2019). Análisis psicométrico de dos versiones de la Connor-Davidson Resilience Scale en estudiantes universitarios peruanos: propuesta del CD-RISC-7. Revista Argentina de Ciencias del Comportamiento, 11(2), 36-51. https://doi.org/10.32348/1852.4206.v11.n2.23774
Finney, S., & DiStefano, C. (2013). Non-normal and categorical data in structural equation models. In G. Hancock and R. Mueller (Eds.), A second course in structural equation modeling (pp. 439-492). Information Age.
Fleming, J., & Merino, C. (2005). Medidas de simplicidad y ajuste factorial: Un enfoque para la construcción y revisión de escalas derivadas factorialmente. Revista de Psicología, 23(2), 252-266. https://doi.org/10.18800/psico.200502.002
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
Franco, M. (2007). Inteligência emocional: Modelos, instrumentos de avaliação e limites. In A. Cadeias & L. Almeida (Eds.), Inteligência humana: Investigação e aplicações (pp. 73-96). Évora: Quarteto. http://hdl.handle.net/10174/1812
Fukuda, E., Saklofske, D. H., Tamaoka, K., & Lim, H. (2011). Factor Structure of the Korean Version of Wong and Law’s Emotional Intelligence Scale. Assessment, 19(1), 3-7. https://doi.org/10.1177/1073191111428863
Gill, G. S., & Sankulkar, S. (2017). An exploration of emotional intelligence in teaching: Comparison between practitioners from the United Kingdom & India. Journal of Psychology & Clinical Psychiatry, 7(2), 1-6. https://doi.org/10.15406/jpcpy.2017.07.00430
Granziera, H., Collie, R., & Martin, A. (2021). Understanding teacher wellbeing through job demands-resources theory. In C. F. Mansfield (Ed.), Cultivating teacher resilience. International Approaches, Applications and Impact (pp. 229-244). Singapore: Springer
Hu, L.-T., & Bentler, P. M. (1999). Cut off criteria for fit indexes in covariance structure analysis: conventional criteria versus new alternatives. Structural Equation Modeling: A Multidisciplinary Journal, 6(1), 1-55. https://doi.org/10.1080/10705519909540118
Iliceto, P., & Fino, E. (2017). The Italian version of the Wong-Law Emotional Intelligence Scale (WLEIS-I): A second-order factor analysis. Personality and Individual Differences, 116, 274-280. http://doi.org/10.1016/j.paid.2017.05.006
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. Disponible en: https://psycnet.apa.org/record/2022-29049-002
Law, K. S., Wong, C. S., & Song, L. J. (2004). The construct and criterion validity of emotional intelligence and its potential utility for management studies. Journal of Applied Psychology, 89, 483-496. https://doi.org/10.1037/0021-9010.89.3.483
Lloret-Segura, S., Ferreres-Traver, A., Hernández-Baeza, A., & Tomás-Marco, I. (2014). El análisis factorial exploratorio de los ítems: una guía práctica, revisada y actualizada. Anales de Psicología, 30(3), 1151-1169. https://doi.org/10.6018/analesps.30.3.199361
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
McDonald, R. P., & Ho, M.-H. R. (2002). Principles and practice in reporting structural equation analyses. Psychological Methods, 7(1), 64-82. https://doi.org/10.1037/1082-989X.7.1.64
Mayer, J. D., & Salovey, P. (1997). What is Emotional Intelligence? In P. Salovey and J. Sluyter (Eds.), Emotional development and emotional intelligence: Educational implications (pp. 3-31). Basic Books.
Mérida-López, S., & Extremera, N. (2020). The interplay of emotional intelligence abilities and work engagement on job and life satisfaction: Which emotional abilities matter most for secondary school teachers? Frontiers in Psychology, 11, 563634. https://doi.org/10.3389/fpsyg.2020.563634
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
Muthén, L. K., & Muthén, B. O. (1998-2019). Mplus User’s guide (8th ed.). Muthén & Muthén.
Niemelä-Nyrhinen, J. & Leskinen, E. (2014). Multicollinearity in marketing models: notes on the application of ridge trace estimation in structural equation modelling. The Electronic Journal of Business Research, 12(1), 3-15.
Pacheco, N. E., Rey, L., & Sanchez-Alvarez, N. (2019). Validation of the Spanish version of the Wong Law Emotional Intelligence Scale (WLEIS-S). Psicothema, 31(1), 94-100. https://doi.org/10.7334/psicothema2018.147
Park, H. J., & Yu, S. (2021). Validity and reliability of the Korean version of the Wong and Law emotional intelligence scale for nurses. SAGE Open, 11(2), 21582440211023202. https://doi.org/10.1177/21582440211023202
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
Rathore, D., & Chadha, N. K. (2021). Psychometric evaluation of Wong and Law Emotional Intelligence Scale (WLEIS) in Indian college students. The International Journal of Indian Psychology, 9, 330-339.
Raykov, T., & Hancock, G. R. (2005). Examining change in maximal reliability for multiple-component measuring instruments. British Journal of Mathematical and Statistical Psychology, 58(1), 65-82. https://doi.org/10.1348/000711005X38753
Rodriguez, M., & Ruiz, M. (2008). Atenuación de la asimetría y de la curtosis de las puntuaciones observadas mediante transformaciones de variables: Incidencia sobre la estructura factorial. Psicológica, 29, 205-227. https://www.uv.es/psicologica/articulos2.08/6RODRIGUEZ.pdf
Rodrigues, N., Rebelo, T., & Coelho, J. V. (2011). Adaptação da Escala de Inteligência Emocional de Wong e Law (WLEIS) e análise da sua estrutura factorial e fiabilidade numa amostra portuguesa. Psychologica, 55, 189-207. https://doi.org/10.14195/1647-8606_55_10
Rodriguez, A., Reise, S.P., & Haviland, M.G. (2015). 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
Rogowska, A. M., & Meres, H. (2022). The mediating role of job satisfaction in the relationship between emotional intelligence and life satisfaction among teachers during the COVID-19 pandemic. European journal of investigation in health, psychology and education, 12(7), 666-676. https://doi.org/10.3390/ejihpe12070050
Salovey, P., & Mayer, J. D. (1990). Emotional intelligence. Imagination, Cognition and Personality, 9(3), 185-211. https://doi.org/10.2190/DUGG-P24E-52WK-6CDG
Smits, I. A. M., Timmerman, M. E., Barelds, D. P. H., & Meijer, R. R. (2015). The Dutch symptom checklist-90-revised: Is the use of the subscales justified?. European Journal of Psychological Assessment, 31(4), 263-271. https://doi.org/10.1027/1015-5759/a000233
Stanley, L. M., & Edwards, M. C. (2016). Reliability and model fit. Educational and Psychological Measurement, 76(6), 976-985. https://doi.org/10.1177/0013164416638900
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
Valente, S., & Lourenço, A. A. (2020). Conflict in the classroom: How teachers’ emotional intelligence influences conflict management. Frontiers in Education, 5, 5. https://doi.org/10.3389/feduc.2020.00005
Valente, S., Lourenço, A. A., Alves, P., & Dominguez-Lara, S. (2020). The role of the teacher’s emotional intelligence for efficacy and classroom management. CES Psicología, 13(2), 18-31. https://doi.org/10.21615/cesp.13.2.2
Valente, S. N., Lourenço, A. A., & Dominguez-Lara, S. (2022). Teachers in the 21st century: Emotional intelligence skills make the difference. In H. Şenol (Ed.), Pedagogy - Challenges, Recent Advances, New Perspectives, and Applications (pp. 1-15). IntechOpen Limited https://doi.org/10.5772/intechopen.103082
Valente, S., Lourenço, A., Almeida, L. S., Sainz-Gómez, M. & Amaro, P. (2024). La inteligencia emocional del docente como predictor de la gestión del aula y de la eficacia de la disciplina. Revista Argentina de Ciencias del Comportamiento, 16(3), 96-106. https://doi.org/10.32348/1852.4206.v16.n3.42311
Wahyuddin, W. (2016). The relationship between of teacher competence, emotional intelligence and teacher performance madrasah Tsanawiyah at district of Serang Banten. Higher Education Studies, 6(1), 128-135. https://doi.org/10.5539/hes.v6n1p128
Wang, L. (2022). Exploring the relationship among teacher emotional intelligence, work engagement, teacher self-efficacy, and student academic achievement: A moderated mediation model. Frontiers in Psychology, 12, 810559. https://doi.org/10.3389/fpsyg.2021.810559
West, S.G., Taylor, A.B., & Wu, W. (2012). Model fit and model selection in structural equation modeling. In R. H. Hoyle (Ed.), Handbook of structural equation modeling (pp. 209–234). Guilford Press.
Wong, C. S., & Law, K. S. (2002). The effects of leader and follower emotional intelligence on performance and attitude: An exploratory study. Leadership Quarterly, 13(3), 243-274. http://doi.org/10.1016/s1048-9843(02)00099-1