160
Views
0
CrossRef citations to date
0
Altmetric
Educational Psychology & Counselling

Cross-cultural and psychometric validation of the ‘GRIT-S’ scale for measuring academic tenacity in medical students in Spanish

ORCID Icon, ORCID Icon, ORCID Icon & ORCID Icon
Article: 2357921 | Received 06 Feb 2024, Accepted 15 May 2024, Published online: 09 Jun 2024

References

  • Arco-Tirado, J. L., Fernández-Martín, F. D., & Hoyle, R. H. (2018). Development and validation of a Spanish version of the grit-s scale. Frontiers in Psychology, 9, 96. https://doi.org/10.3389/fpsyg.2018.00096
  • Brown, T. (2006). Confirmatory factor analysis for applied research. Guilford Press.
  • Chin, W. (1998). The partial least squares approach to structural equation modelling. In M. G.A, Modern methods for business research (pp. 295–336). Lawrence Erlbaum Associates, Inc.
  • Christensen, R., & Knezek, G. (2014). Comparative measures of grit, tenacity and perseverance. International Journal of Learning, Teaching and Educational Research, 8(1), 16–30.
  • Collantes-Tique, N., Pineda-Parra, J. A., Ortiz-Otálora, C. D., Ramírez Castañeda, S., Jiménez-Pachón, C., Quintero-Ovalle, C., Riveros Munévar, F., & Uribe Moreno, M. E. (2021). Validación de la estructura psicométrica de las escalas Grit-O y Grit-S en el contexto colombiano y su relación con el éxito académico. Acta Colombiana de Psicología, 24(2), 95–110. https://doi.org/10.14718/ACP.2021.24.2.9
  • Cotruş, A., Stanciu, C., & Bulborea, A. A. (2012). EQ vs. IQ which is most important in the success or failure of a student? Procedia - Social and Behavioral Sciences, 46, 5211–5213. https://doi.org/10.1016/j.sbspro.2012.06.411
  • Duckworth, A. L., & Quinn, P. D. (2009). Development and validation of the short grit scale (Grit-S). Journal of pPersonality aAssessment, 91(2), 166–174. https://doi.org/10.1080/00223890802634290
  • Duckworth, A. L., Peterson, C., Matthews, M., & Kelly, D. (2007). Grit: Perseverance and passion for long-term goals. Journal of pPersonality and sSocial pPsychology, 92(6), 1087–1101. https://doi.org/10.1037/0022-3514.92.6.1087
  • Duckworth, A. L., Quinn, P., & Tsukayama, E. (2012). What no child left behind leaves behind: The roles of IQ and self-control in predicting standardized achievement test scores and report card grades. Journal of eEducational pPsychology, 104(2), 439–451. https://doi.org/10.1037/a0026280
  • Farrington, C. A., Roderick, M., Allensworth, E., Nagaoka, J., Seneca, K., & Johnson, D. W. (2012). Teaching adolescents to become learners: The role of noncognitive factors in academic performance. A critical literature review. Chicago: Consortium on Chicago School Research. Obtenido de https://eric.ed.gov/?id=ED542543
  • Finney, S., DiStefano, C., En, M. R., & Hancock, G. R. (2013). Non-normal and categorical data in structural equation modeling. Structural equation modeling: A second course (pp. 439–492). NC: Information Age.
  • Fornell, C., & Larcker, D. F. (1981). Structural equation models with unobservable variables and measurement error: Algebra and statistics. Journal of Marketing Research, 18(3), 382–388. https://doi.org/10.2307/3150980
  • Hair, J., Black, W., Babin, B., & Anderson, R. (2018). Multivariate data analysis. Cengage Learning EMEA.
  • Harkness, J., Schoua-Glusberg, A., & Pennell, B. (2004). Survey questionnaire translation and assessment. Methods for Testing and Evaluating Survey Questionnaires, 546, 453–473. https://doi.org/10.1002/0471654728.ch22
  • Hu, L., & Bentler, P. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling, 6(1), 1–55.
  • Isik, U., Wouters, A., Ter Wee, M. M., Croiset, G., & Kusurkar, R. A. (2017). Motivation and academic performance of medical students from ethnic minorities and majority: A comparative study. BMC mMedical eEducation, 17(1), 233. https://doi.org/10.1186/s12909-017-1079-9
  • Rivera Mandarache, E. Y. (2007). Tesis: Coeficiente intelectual, rendimiento académico y satisfacción con la profesión elegida en grupos de estudiantes de la Universidad Nacional de Educación. Universidad Nacional de Educación Enrique Guzmán y Valle. Obtenido de . https://renati.sunedu.gob.pe/handle/sunedu/3128794
  • Saibani, B., & Simin, S. (2014). The relationship between multiple intelligences and speaking skill among intermediate EFL learners in Bandar Abbas Azad University in Iran. International Journal of Research Studies in Language Learning, 4(2), 43–56. https://doi.org/10.5861/ijrsll.2014.861
  • Sladek, R. M., Bond, M. J., Frost, L. K., & Prior, K. N. (2016). Predicting success in medical school: A longitudinal study of common Australian student selection tools. BMC mMedical eEducation, 16(1), 187. https://doi.org/10.1186/s12909-016-0692-3
  • Tadese, M., Yeshaneh, A., & Mulu, G. B. (2022). Determinants of good academic performance among university students in Ethiopia: A cross-sectional study. BMC mMedical eEducation, 22(1), 395. https://doi.org/10.1186/s12909-022-03461-0
  • Tyumeneva, Y., Kardanova, E., & Kuzmina, J. (2019). IRT analysis and validation of the grit Scale: A Russian investigation. European Journal of Psychological Assessment, 35(4), 469–478. https://doi.org/10.1027/1015-5759/a000424
  • Wild, D., Grove, A., Martin, M., Eremenco, S., McElroy, S., Verjee-Lorenz, A., & Erikson, P, ISPOR Task Force for Translation and Cultural Adaptation. (2005). Principles of good practice for the translation and cultural adaptation process for patient-reported outcomes (PRO) measures: Report of the ISPOR task force for translation and cultural adaptation. Value in hHealth: The jJournal of the International Society for Pharmacoeconomics and Outcomes Research, 8(2), 94–104. https://doi.org/10.1111/j.1524-4733.2005.04054.x
  • York, T. T., Gibson, C., & Rankin, S. (2015). Defining and measuring academic success. Practical Assessment, Research, and Evaluation, 20(5), 1–21. https://doi.org/10.7275/hz5x-tx03