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Construction and Validation of Emotional Intelligence Scale for Secondary School Teachers

Antara Dey, Nil Ratan Roy


In this study, we developed and validated a new instrument: an emotional intelligence scale for teachers. This paper focused on the psychometric properties of the emotional intelligence scale for school teachers dealing with adolescent students. The study also validated the tool over 608 secondary school teachers in India. This scale was evaluated using exploratory factor analysis (EFA), confirmatory factor analysis (CFA), Cronbach’s alpha, and item-total correlation. Results showed good fit (χ2/df =1085.66, CFI = 0.956, GFI = 0.876, TLI = 0.951, PCFI = 0.860, PNFI = 0.843, RMSEA = 0.06 and SRMR = 0.056) for the five components (Self-Perception, Self-Regulation, Self-Drive, Empathy, Social Motive) of the measurement model. However, 80.18% of the total variance was explained by the factors Reliability (Cronbach alpha = 0.95) and construct validity means convert and discriminant validity was established for a teacher’s innovative emotional intelligence scale. Finally, the robust findings indicated that the instrument could be used in further studies in different research areas.


Emotional intelligence; Factor analysis; Psychometric properties; Teaching Experiences; Validation.

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Anderson, J. C., & Gerbing, D. W. (1988). Structural equation modeling in practice: A review and recommended two-step approach. Psychological Bulletin, 103(3), 411-423.


Bagozzi, R. P., & Yi, Y. (1988). On the evaluation of structural equation models.Journal of the Academy of Marketing Science, 16(1), 74-94.


Bar-On, R. (2000). Emotional and social intelligence: Insights from the emotional quotient inventory. In R. Bar-On & J. D. A. Parker (Eds.), The handbook of emotional intelligence: Theory, development, assessment, and application at home, school, and in the workplace (pp. 363-388). San Francisco: Jossey-Bass.

Bentler, P. M., & Bonett, D. G. (1980). Significance tests and goodness of fit in the analysis of covariance structures. Psychological Bulletin, 88(3), 588-606.


Blair, J., & Conrad, F. G. (2011). The sample size for cognitive interview pretesting. Public Opinion Quarterly, 75(4), 636-658. https://doi.org/10.2307/41288411


Brackett, M. A., & Salovey, P. (2006). Measuring emotional intelligence with the Mayer-Salovey-Caruso Emotional Intelligence Test (MSCEIT). Psicothema, 18(1), Suppl., 34-41.

Brockbank, A., & McGill, I. (2007). Facilitating reflective learning in higher education. Maidenhead: McGraw-Hill Education.

Byrne, B. M. (2005). Factor analytic models: Viewing the structure of an assessment instrument from three perspectives. Journal of Personality Assessment, 85(1), 17-32. https://doi.org/10.1207/s15327752jpa8501_02

Cohen, J. (1988). Statistical power analysis for the behavioral sciences (2nd ed.). Hillsdale, NJ: Lawrence Erlbaum Associates.

Comrey, A. L., & Lee, H. B. (1992).The first course is in factor analysis. Hillsdale, NJ: Lawrence Erlbaum Associates.

Curran, P. J., West, S., & Finch, J. F. (1996). The robustness of test statistics to nonnormality and specification error in confirmatory factor analysis. Psychological Methods, 1(1), 16-29.


DeVellis, R. F. (2003). Scale development: Theory and applications (2nd ed.). Thousand Oaks, CA: Sage.

Fornell, C. (1982). The second generation of multivariate analysis methods. New York: Praeger.

Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39-50.


Gallardo, M., Tan, H., & Gindidis, M. (2019). A comparative investigation of first and fourth year pre-service teachers' expectations and perceptions of emotional intelligence. Australian Journal of Teacher Education, 44(12), 102-114.



Goleman, D. (1995). Emotional intelligence: Why it can matter more than IQ for character health and lifelong achievement. New York: Bantam Books.

Goleman, D., & Boyatzis, R. E. (2017). Difficult conversations: Emotional intelligence has 12 elements. Which do you need to work on? Harvard Business Review.


Hair, J. F., Anderson, R. E., Tatham, R. L., & Black, W. C. (1998). Factor analysis: Multivariate data analysis. Upper Saddle River, NJ: Prentice-Hall.

Hair, J. F., Black, W. C., Babin, B. J., Anderson, R. E., & Tatham, R. L. (2014).Multivariate data analysis (new international ed.). Harlow: Pearson Education.

Hair, J. F., Hult, G. T. M., Ringle, C. M., & Sarstedt, M. (2017). A primer on Partial Least Squares Structural Equation Modeling (PLS-SEM) (2nd ed.). Thousands Oak, CA: Sage.

Harrington, D. (2008). Confirmatory factor analysis. New York: Oxford University Press.


Hu, L., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling, 6(1), 1-55.


James, L., Mulaik, S., & Brett, J. M. (1982). Causal analysis: Assumptions, models, and data. Thousands Oak, CA: Sage.

Kaiser, H. F. (1974). An index of factorial simplicity. Psychometrika, 39, 31-36.


Kline, R. B. (2005). Principles and practice of structural equation modeling (2nd ed.). New York: Guilford Press.

Kumar, M., Talib, S. A., & Ramayah, T. (2013). Business research methods. Selangor, Malaysia: Oxford University Press.

Levy, S. B., & Marshall, B. (2004). Antibacterial resistance worldwide causes challenges and responses. Nature Medicine, 10(1), 122-129.


MacCallum, R. C., Browne, M. W., & Sugawara, H. M. (1996). Power analysis and determination of sample size for covariance structure modeling. Psychological methods, 1(2), 130-149. https://doi.org/10.1037/1082-989X.1.2.130

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

Memon, M. A., Ting, H., Ramayah, T., Chuah, F., & Cheah, J. H. (2017). A review of the methodological misconceptions and guidelines related to the application of structural equation modelling: A Malayasian scenario. Journal of Applied Structural Equation Modeling, 1(1), 1-13.



Mérida-López, S., & Extremera, N. (2017). Emotional intelligence and teacher burnout: A systematic review. International Journal of Educational Research, 85(1), 121-130.


Meyers, S. A. (2009). Do your students care whether you care about them? College Teaching, 57(4), 205-210.


Perneger, T. V., Courvoisier, D. S., Hudelson, P. M., & Gayet-Ageron, A. (2015).Sample size for pre-tests of questionnaires. Quality of Life Research, 24(1), 147-151.


Petrides, K. V. (2009). Psychometric properties of the Trait Emotional Intelligence Questionnaire (TEIQue). In C. Stough, D. H. Saklofske, & J. D. A. Parker (Eds.), Assessing emotional intelligence: Theory, research, and applications (pp. 85-101). New York: Springer Science - Business Media.


Petrides, K. V., & Furnham, A. (2001). Trait emotional intelligence: Psychometric investigation regarding established trait taxonomies. European Journal of Personality, 15(6), 425-448.


Polit, D. F., Beck, C. T., & Hungler, B. P. (2001). Essentials of nursing research: Methods, appraisal, and utilization (5th ed.). Philadelphia: Lippincott Williams & Wilkins.

Sala, F. (2002). Emotional competence inventory: Technical manual. Philadelphia, PA: McClelland Center for Research; HayGroup Saddle River, NJ: Prentice Hall.

Sekaran, U. (2003). Research methods for business: A skill building approach (4th ed.). New York: John Willey and Sons.

Teijlingen van, E., Rennie, A. M., Hundley, V., & Graham, W. (2001). The importance of conducting and reporting pilot studies: The example of the Scottish Births Survey. Journal of Advanced Nursing, 34(1), 289-295.


Tobias, S., & Carlson, J. E. (1969). Brief report: Bartlett's test of sphericity and chance findings in factor analysis. Multivariate Behavioral Research, 4(3), 375-377.


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

Zeidner, M., & Matthews, G. (2017). Emotional intelligence in gifted students. Gifted Education International, 33(2), 163-182. https://doi.org/10.1177/0261429417708879

DOI: https://doi.org/10.7358/ecps-2022-026-dero

Copyright (©) 2022 Antara Dey, Nil Ratan Roy – Editorial format and Graphical layout: copyright (©) LED Edizioni Universitarie

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Journal of Educational, Cultural and Psychological Studies (ECPS)
Registered by Tribunale di Milano (19/05/2010 n. 278)
Online ISSN 2037-7924 - Print ISSN 2037-7932

Research Laboratory on Didactics and Evaluation - Department of Education - "Roma Tre" University

Executive Editor: Gaetano Domenici - Associate Executive Editor & Managing  Editor: Valeria Biasci
Editorial Board: Eleftheria Argyropoulou - Massimo Baldacci - Joao Barroso - Richard Bates - Christofer Bezzina - Paolo Bonaiuto - Lucia Boncori - Pietro Boscolo - Sara Bubb  - Carlo Felice Casula - Jean-Émile Charlier - Lucia Chiappetta Cajola - Carmela Covato - Jean-Louis Derouet - Peter Early - Franco Frabboni - Constance Katz - James Levin - Pietro Lucisano  - Roberto Maragliano - Romuald Normand - Michael Osborne - Donatella Palomba - Michele Pellerey - Clotilde Pontecorvo - Vitaly V. Rubtzov - Jaap Scheerens - Noah W. Sobe - Francesco Susi - Giuseppe Spadafora - Pat Thomson
Editorial Staff: Fabio Alivernini - Guido Benvenuto - Anna Maria Ciraci - Massimiliano Fiorucci - Luca Mallia - Massimo Margottini - Giovanni Moretti - Carla Roverselli 
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Nazarena Patrizi 

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