Translation and Validation of a Transformational Leadership Scale in Peruvian Public Servants

Authors

  • Josue Pilco-Pezo Escuela Posgrado de Administración, Facultad de Ciencias Empresariales, Universidad Peruana Unión, Lima, Perú Author
  • Maribel Paredes-Saavedra Escuela Profesional de Administración, Facultad de Ciencias Empresariales, Universidad Peruana Unión, Juliaca, Perú Author https://orcid.org/0000-0003-2383-8749
  • Alcides Flores-Paredes Escuela Profesional de Educación Física, Universidad Nacional del Altiplano Puno, Puno, 21001, Perú Author https://orcid.org/0000-0001-6355-413X
  • Mardel Morales-García Escuela de Posgrado, Universidad Peruana Unión, Lima, Perú Author https://orcid.org/0000-0002-6413-1072

DOI:

https://doi.org/10.56294/dm2024.357

Keywords:

leadership, transformational, psychometrics, public servants, Peru

Abstract

Background Transformational leadership has been identified as an essential component for success and innovation within the public sector, especially in the digital age and in the face of global challenges. This form of leadership, which seeks to change and inspire people, has been shown to be crucial for improving organizational performance and the quality of public services. However, the application of these principles in Peru faces specific challenges, and there is a notable lack of empirical research on this phenomenon in the Peruvian public sector, particularly in the evaluation of the tools used for its measurement. Objective This study aimed to examine the psychometric properties of the Global Transformational Leadership (GTL) scale in a sample of Peruvian public servants. Methods An instrumental research design was adopted, using non-probabilistic sampling. The sample included 290 Peruvian public servants (M = 34.61, SD = 9.2), with an analysis that encompassed confirmatory factor analysis (CFA) and reliability estimates. Results Descriptive analysis results indicated a high tendency to respond positively on the scale. The CFA confirmed the proposed unidimensional structure of the scale, with acceptable fit according to various indices (χ2 = 39.130, CFI = 0.97, TLI = 0.95, RMSEA = 0.08, SRMR = 0.03), and all factor loadings were significant and greater than 0.50, indicating a strong association with the transformational leadership dimension and exceptionally high internal consistency (α = 0.94). Conclusions The study confirmed that the GTL transformational leadership scale is a psychometrically robust tool and applicable to the Peruvian context. The unidimensional structure and high reliability of the scale suggest that it is suitable for measuring transformational leadership among public servants in Peru.

References

1. Kabene SM, Orchard C, Howard JM, et al. The importance of human resources management in health care: A global context. Hum Resour Health 2006; 4: 1–17. DOI: https://doi.org/10.1186/1478-4491-4-20

2. Babapour AR, Gahassab-Mozaffari N, Fathnezhad-Kazemi A. Nurses’ job stress and its impact on quality of life and caring behaviors: a cross-sectional study. BMC Nurs; 21. Epub ahead of print 2022. DOI: 10.1186/s12912-022-00852-y. DOI: https://doi.org/10.1186/s12912-022-00852-y

3. Lim S, Park H, Kim S. Psychological experiences of nurses caring for patients with COVID-19: Integrative review based on qualitative research. Nursing Open; 10. Epub ahead of print 2023. DOI: 10.1002/nop2.1813. DOI: https://doi.org/10.1002/nop2.1813

4. Duran S, Celik I, Ertugrul B, et al. Factors affecting nurses’ professional commitment during the COVID-19 pandemic: A cross-sectional study. J Nurs Manag; 29. Epub ahead of print 2021. DOI: 10.1111/jonm.13327. DOI: https://doi.org/10.1111/jonm.13327

5. Hassmiller SB, Wakefield MK. The Future of Nursing 2020–2030: Charting a path to achieve health equity. Nurs Outlook; 70. Epub ahead of print 2022. DOI: 10.1016/j.outlook.2022.05.013. DOI: https://doi.org/10.1016/j.outlook.2022.05.013

6. Soriano-Vázquez I, Cajachagua Castro M, Morales-García WC. Emotional intelligence as a predictor of job satisfaction: the mediating role of conflict management in nurses. Front Public Heal; 11. Epub ahead of print 10 November 2023. DOI: 10.3389/fpubh.2023.1249020. DOI: https://doi.org/10.3389/fpubh.2023.1249020

7. Kelly LA, Gee PM, Butler RJ. Impact of nurse burnout on organizational and position turnover. Nurs Outlook; 69. Epub ahead of print 2021. DOI: 10.1016/j.outlook.2020.06.008. DOI: https://doi.org/10.1016/j.outlook.2020.06.008

8. Mudallal RH, Othman WM, Al Hassan NF. Nurses’ burnout: The influence of leader empowering behaviors, work conditions, and demographic traits. Inq (United States); 54. Epub ahead of print 2017. DOI: 10.1177/0046958017724944. DOI: https://doi.org/10.1177/0046958017724944

9. Ricalde-Castillo Y, Celis-Mendoza M, Morales-García M, et al. Sociodemographic Factors, Mental Health, and Emotional Eating Associated With Concern for COVID-19 Contagion in Nurses: A Cross-Sectional Study. J Prim Care Community Heal; 14. Epub ahead of print 2023. DOI: 10.1177/21501319231200400. DOI: https://doi.org/10.1177/21501319231200400

10. Meijerink J, Bos-Nehles A, de Leede J. How employees’ pro-activity translates high-commitment HRM systems into work engagement: the mediating role of job crafting. Int J Hum Resour Manag; 31. Epub ahead of print 2020. DOI: 10.1080/09585192.2018.1475402. DOI: https://doi.org/10.1080/09585192.2018.1475402

11. Xanthopoulou D, Bakker AB, Demerouti E, et al. The role of personal resources in the job demands-resources model. Int J Stress Manag; 14. Epub ahead of print 2007. DOI: 10.1037/1072-5245.14.2.121. DOI: https://doi.org/10.1037/1072-5245.14.2.121

12. Schaufeli WB. Applying the Job Demands-Resources model: A ‘how to’ guide to measuring and tackling work engagement and burnout. Organ Dyn; 46. Epub ahead of print 2017. DOI: 10.1016/j.orgdyn.2017.04.008. DOI: https://doi.org/10.1016/j.orgdyn.2017.04.008

13. Orgambídez A, Borrego Y, Vázquez-Aguado O. Self-efficacy and organizational commitment among Spanish nurses: the role of work engagement. Int Nurs Rev. Epub ahead of print 2019. DOI: 10.1111/INR.12526. DOI: https://doi.org/10.1111/inr.12526

14. Karami A, Farokhzadian J, Foroughameri G. Nurses’ professional competency and organizational commitment: Is it important for human resource management? PLoS One; 12. Epub ahead of print 2017. DOI: 10.1371/journal.pone.0187863. DOI: https://doi.org/10.1371/journal.pone.0187863

15. Carayon P, Gurses AP. Nursing Workload and Patient Safety—A Human Factors Engineering Perspective. Patient Saf Qual An Evidence-Based Handb Nurses, https://www.ncbi.nlm.nih.gov/books/NBK2657/ (2008, accessed 6 September 2022).

16. Haddad LM, Annamaraju P, Toney-Butler TJ. Nursing Shortage. Br Med J 2023; 3: 534–535. DOI: https://doi.org/10.1136/bmj.3.5669.534-e

17. Cabrera-Aguilar E, Zevallos-Francia M, Morales-García M, et al. Resilience and stress as predictors of work engagement: the mediating role of self-efficacy in nurses. Front Psychiatry 2023; 14: 1202048. DOI: https://doi.org/10.3389/fpsyt.2023.1202048

18. Raghubir AE. Emotional intelligence in professional nursing practice: A concept review using Rodgers’s evolutionary analysis approach. Int J Nurs Sci 2018; 5: 126. DOI: https://doi.org/10.1016/j.ijnss.2018.03.004

19. Dou D, Shek DTL, Wong T. Ecological predictors of academic satisfaction in senior secondary school students in Hong Kong: The mediating role of academic confidence. Front Psychol; 13. Epub ahead of print 2022. DOI: 10.3389/fpsyg.2022.1041873. DOI: https://doi.org/10.3389/fpsyg.2022.1041873

20. Bernales-Turpo D, Quispe-Velasquez R, Flores-Ticona D, et al. Burnout, Professional Self-Efficacy, and Life Satisfaction asPredictors of Job Performance in Health Care Workers: The Mediating Role of WorkEngagement. J Prim Care Community Health 2022; 13: 215013192211018. DOI: https://doi.org/10.1177/21501319221101845

21. Ackerman C. What is Self-Efficacy Theory in Psychology? Definition & Examples (+PDF). Posit Psychol Progr.

22. Huaman N, Morales-García WC, Castillo-Blanco R, et al. An Explanatory Model of Work-family Conflict and Resilience as Predictors of Job Satisfaction in Nurses: The Mediating Role of Work Engagement and Communication Skills. J Prim Care Community Health; 14. Epub ahead of print 1 January 2023. DOI: 10.1177/21501319231151380. DOI: https://doi.org/10.1177/21501319231151380

23. Bru-Luna LM, Martí-Vilar M, Merino-Soto C, et al. Emotional intelligence measures: A systematic review. Healthcare (Switzerland); 9. Epub ahead of print 2021. DOI: 10.3390/healthcare9121696. DOI: https://doi.org/10.3390/healthcare9121696

24. Hirai Y, Yoshioka SI. Emotional intelligence and work perceptions among nurse managers. Yonago Acta Med; 63. Epub ahead of print 2020. DOI: 10.33160/yam.2020.11.021. DOI: https://doi.org/10.33160/yam.2020.11.021

25. Ventura J, Sosa A. Autoeficacia, autoestima y compromiso en profesionales de enfermería durante la pandemia covid-19 en el Perú. Enfermería Glob; 22. Epub ahead of print 2023. DOI: 10.6018/eglobal.528511. DOI: https://doi.org/10.6018/eglobal.528511

26. García-Moran M de C, Gil-Lacruz M. El estrés en el ámbito de los profesionales de la salud. Persona; 0. Epub ahead of print 2016. DOI: 10.26439/persona2016.n019.968. DOI: https://doi.org/10.26439/persona2016.n019.968

27. Arias W, Muñoz A, Delgado Y, et al. Síndrome de burnout en personal de salud de la ciudad de Arequipa (Perú). Med Segur Trab (Madr); 63.

28. Solís-Cóndor R, Tantalean-del Águila M, Burgos-Aliaga R, et al. Agotamiento profesional: prevalencia y factores asociados en médicos y enfermeras en siete regiones del Perú. An la Fac Med 2017; 78: 270–276. DOI: https://doi.org/10.15381/anales.v78i3.13757

29. Dilas D, Flores R, Morales-García WC, et al. Social Support, Quality of Care, and Patient Adherence to Tuberculosis Treatment in Peru: The Mediating Role of Nurse Health Education. Patient Prefer Adherence; 17. Epub ahead of print 2023. DOI: 10.2147/PPA.S391930. DOI: https://doi.org/10.2147/PPA.S391930

30. Mesa N. INFLUENCIA DE LA INTELIGENCIA EMOCIONAL PERCIBIDA EN LA ANSIEDAD Y EL ESTRÉS LABORAL DE ENFERMERÍA. Ene, Rev enfermería; 13.

31. Al‐Hamdan Z, Bani Issa H. The role of organizational support and self‐efficacy on work engagement among registered nurses in Jordan: A descriptive study. J Nurs Manag. Epub ahead of print September 2021. DOI: 10.1111/jonm.13456. DOI: https://doi.org/10.1111/jonm.13456

32. De Simone S, Planta A, Cicotto G. The role of job satisfaction, work engagement, self-efficacy and agentic capacities on nurses’ turnover intention and patient satisfaction. Appl Nurs Res 2018; 39: 130–140. DOI: https://doi.org/10.1016/j.apnr.2017.11.004

33. Sucapuca C, Morales-García WC, Saintila J. Work-Related Factors Associated With Burnout Among Peruvian Nurses. J Prim Care Community Health 2022; 13: 1–8. DOI: https://doi.org/10.1177/21501319221127085

34. Morales-García WC, Vallejos M, Sairitupa-Sanchez LZ, et al. Depression, professional self-efficacy, and job performance as predictors of life satisfaction: the mediating role of work engagement in nurses. Front Public Heal; 12. Epub ahead of print 1 February 2024. DOI: 10.3389/fpubh.2024.1268336. DOI: https://doi.org/10.3389/fpubh.2024.1268336

35. Ato M, López JJ, Benavente A. Un sistema de clasificación de los diseños de investigación en Psicología [A classification system of research designs in Psychology]. An Psicol 2013; 29: 1038–1059. DOI: https://doi.org/10.6018/analesps.29.3.178511

36. Soper D. A-priori Sample Size Calculator for structural equation models. Software.

37. Cid P, Orellana A, Barriga O. Validación de la escala de autoeficacia general en Chile. Rev Med Chil 2010; 138: 551–557. DOI: https://doi.org/10.4067/S0034-98872010000500004

38. Mamani PGR, Cunza-Aranzábal DF, White M, et al. PSYCHOMETRIC PROPERTIES OF THE TRAIT META-MOOD SCALE FOR MEASURING EMOTIONAL INTELLIGENCE IN PERUVIAN STUDENTS1. Behav Psychol Psicol Conduct; 30. Epub ahead of print 2022. DOI: 10.51668/bp.8322207n. DOI: https://doi.org/10.51668/bp.8322207n

39. Hernandez-Vargas CI, Llorens-Gumbau S, Rodriguez-Sanchez AM, et al. Validación de la escala UWES-9 en profesionales de la salud en México. Pensam Psicológico 2016; 14: 89–100. DOI: https://doi.org/10.11144/Javerianacali.PPSI14-2.veup

40. Muthen L, Muthen B. MPlus user’ guide. 8th ed. Los Angeles, 2017.

41. Bentler P. Comparative fit indices in structural models. Psychol Bull 1990; 107: 238–246. DOI: https://doi.org/10.1037//0033-2909.107.2.238

42. MacCallum RC, Widaman KF, Preacher KJ, et al. Sample size in factor analysis: The role of model error. Multivariate Behav Res; 36. Epub ahead of print 2001. DOI: 10.1207/S15327906MBR3604_06. DOI: https://doi.org/10.1207/S15327906MBR3604_06

43. Browne MW, Cudeck R. Alternative ways of assessing model fit. Sociol Methods Res 1992; 21: 230–258. DOI: https://doi.org/10.1177/0049124192021002005

44. Abad FJ, Olea J, Ponsoda V, et al. Medición en ciencias sociales y de la salud. Madrid: Síntesis, 2011. Epub ahead of print 2011. DOI: 10.1007/s13398-014-0173-7.2.

45. Rosseel Y. lavaan : An R Package for Structural Equation Modeling. J Stat Softw 2012; 48: 1–93. DOI: https://doi.org/10.18637/jss.v048.i02

46. Randhawa G. Self-efficacy and Work Performance : An Empirical Study. Indian J Ind Relat; 39.

47. Judge TA, Jackson CL, Shaw JC, et al. Self-efficacy and work-related performance: The integral role of individual differences. J Appl Psychol; 92. Epub ahead of print 2007. DOI: 10.1037/0021-9010.92.1.107. DOI: https://doi.org/10.1037/0021-9010.92.1.107

48. Bandura A. Self-efficacy: Toward a unifying theory of behavioral change. Psychol Rev 1977; 84: 191–215. DOI: https://doi.org/10.1037//0033-295X.84.2.191

49. Huicho L, Molina C, Diez-Canseco F, et al. Factors behind job preferences of Peruvian medical, nursing and midwifery students: A qualitative study focused on rural deployment. Hum Resour Health; 13. Epub ahead of print 2015. DOI: 10.1186/s12960-015-0091-6. DOI: https://doi.org/10.1186/s12960-015-0091-6

50. Mlambo M, Silén C, McGrath C. Lifelong learning and nurses’ continuing professional development, a metasynthesis of the literature. BMC Nurs; 20. Epub ahead of print 2021. DOI: 10.1186/s12912-021-00579-2. DOI: https://doi.org/10.1186/s12912-021-00579-2

51. Malti T, Beelmann A, Noam GG, et al. Health Policy: Application for Nurses and Other Healthcare Professionals. J Clin Nurs; 33.

52. Sun N, Zheng Q, Li L, et al. A model of abusive supervision, self-efficacy, and work engagement among Chinese registered nurses: The mediating role of self-efficacy. Front Psychol; 13. Epub ahead of print 2022. DOI: 10.3389/fpsyg.2022.962403. DOI: https://doi.org/10.3389/fpsyg.2022.962403

53. Henderson A, Harrison P, Rowe J, et al. Students take the lead for learning in practice: A process for building self-efficacy into undergraduate nursing education. Nurse Educ Pract; 31. Epub ahead of print 2018. DOI: 10.1016/j.nepr.2018.04.003. DOI: https://doi.org/10.1016/j.nepr.2018.04.003

54. Al-Oweidat I, Shosha GA, Baker TA, et al. The relationship between emotional intelligence and organizational commitment among nurses working in governmental hospitals in Jordan. BMC Nurs; 22. Epub ahead of print 2023. DOI: 10.1186/s12912-023-01361-2. DOI: https://doi.org/10.1186/s12912-023-01361-2

55. Nehad FE, Maha MM. Relationship between Head Nurses Emotional Intelligence and Staff Nurses Job Satisfaction. Med J Cairo Univ; 86. Epub ahead of print 2018. DOI: 10.21608/mjcu.2018.62784. DOI: https://doi.org/10.21608/mjcu.2018.62784

56. Shafiq M, Akram Rana R. Relationship of emotional intelligence to organizational commitment of college teachers in Pakistan. Eurasian J Educ Res; 2016. Epub ahead of print 2016. DOI: 10.14689/EJER.2016.62.1. DOI: https://doi.org/10.14689/ejer.2016.62.1

57. Beauvais A, Andreychik M, Henkel LA. The role of emotional intelligence and empathy in compassionate nursing care. Mindfulness & Compassion; 2. Epub ahead of print 2017. DOI: 10.1016/j.mincom.2017.09.001. DOI: https://doi.org/10.1016/j.mincom.2017.09.001

58. Nnate DA, Nashwan AJ. Emotional Intelligence and Delivering Bad News in Professional Nursing Practice. Cureus. Epub ahead of print 2023. DOI: 10.7759/cureus.40353. DOI: https://doi.org/10.7759/cureus.40353

59. Kuok ACH. Emotional Intelligence, Work Satisfaction, and Affective Commitment: An Occupational Health Study of Social Workers. Rev Psicol del Trab y las Organ; 38. Epub ahead of print 2022. DOI: 10.5093/jwop2022a14. DOI: https://doi.org/10.5093/jwop2022a14

60. Wen J, Huang S (Sam), Hou P. Emotional intelligence, emotional labor, perceived organizational support, and job satisfaction: A moderated mediation model. Int J Hosp Manag; 81. Epub ahead of print 2019. DOI: 10.1016/j.ijhm.2019.01.009. DOI: https://doi.org/10.1016/j.ijhm.2019.01.009

61. Rakhshani T, Motlagh Z, Beigi V, et al. The relationship between emotional intelligence and job stress among nurses in Shiraz, Iran. Malaysian J Med Sci; 25. Epub ahead of print 2018. DOI: 10.21315/mjms2018.25.6.10. DOI: https://doi.org/10.21315/mjms2018.25.6.10

62. Louwen C, Reidlinger D, Milne N. Profiling health professionals’ personality traits, behaviour styles and emotional intelligence: a systematic review. BMC Med Educ; 23. Epub ahead of print 2023. DOI: 10.1186/s12909-023-04003-y. DOI: https://doi.org/10.1186/s12909-023-04003-y

63. Specchia ML, Cozzolino MR, Carini E, et al. Leadership Styles and Nurses’ Job Satisfaction. Results of a Systematic Review. Int J Environ Res Public Heal 2021, Vol 18, Page 1552 2021; 18: 1552. DOI: https://doi.org/10.3390/ijerph18041552

64. Liu B, Zhu N, Wang H, et al. Protecting nurses from mistreatment by patients: A cross-sectional study on the roles of emotional contagion susceptibility and emotional regulation ability. Int J Environ Res Public Health; 18. Epub ahead of print 2021. DOI: 10.3390/ijerph18126331. DOI: https://doi.org/10.3390/ijerph18126331

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2024-09-09

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1.
Pilco-Pezo J, Paredes-Saavedra M, Flores-Paredes A, Morales-García M. Translation and Validation of a Transformational Leadership Scale in Peruvian Public Servants. Data and Metadata [Internet]. 2024 Sep. 9 [cited 2026 Jan. 14];3:.357. Available from: https://dm.ageditor.ar/index.php/dm/article/view/357