Contribución al conocimiento en Investigación Educativa a partir de estudios de validación de escalasuna reflexión crítica sobre el trabajo de M. Tourón et al. (2023) y el análisis metodológico de Martínez-García (2024)

  1. Fernando Martínez Abad 1
  2. José Carlos Sánchez Prieto 1
  1. 1 Universidad de Salamanca
    info
    Universidad de Salamanca

    Salamanca, España

    ROR https://ror.org/02f40zc51

    Geographic location of the organization Universidad de Salamanca
Journal:
Revista de educación

ISSN: 0034-8082

Year of publication: 2024

Issue: 406

Pages: 65-84

Type: Article

DOI: 10.4438/1988-592X-RE-2024-406-637 DIALNET GOOGLE SCHOLAR lock_openOpen access editor

More publications in: Revista de educación

Sustainable development goals

Abstract

In the scientific literature, there is a considerable volume of research proposing the design and validation of measurement scales in the field of educational sciences. This work presents, from the perspective of applied educational research, a critical analysis of the validation of the detection scale for high-ability students (GRS 2) for parents published by M. Tourón et al. (2023) in Revista de Educación, taking into account the methodological critique made by Martínez- García (2024) of said validation. The present proposal aims to contribute to this dialogue by analyzing both publications and formulating improvement issues, focusing especially on the theoretical foundation of the models, the formulation of reflective and formative compounds, and the adequacy of using alternative goodness-of-fit indicators to Chi Square in the confirmatory factor analysis model. Certain procedures deeply established in psychometric validation studies within educational research are observed, which, besides not promoting the understanding of the theoretical foundations underlying the scale, hinder its subsequent appropriate use by applied researchers in diagnostic or experimental studies. Thus, the analyzed arguments highlight the need to reconsider, in our view, some of the common practices in this type of studies that diminish their relevance and the implications of the results obtained for the development of educational theory and practice.

Bibliographic References

  • Brown, T. A. (2015). Confirmatory Factor Analysis for Applied Research (Second edition). Guilford Publications.
  • Chin, W. W. (1998). Commentary: Issues and opinion on structural equation modeling. MIS Quarterly, 22(1), vii–xvi.
  • Cohen, J. (1988). Statistical Power Analysis for the Behavioral Sciences (2.a ed.). Routledge. https://doi.org/10.4324/9780203771587
  • Curran, P. J., West, S. G, & Finch, J. F. (1996). The robustness of test statistics to nonnormality and specification error in confirmatory factor analysis. Psychological Methods, 1(1), 16-29.
  • Educación XX1 (2024). Normas para la presentación de originales. https://revistas.uned.es/index.php/educacionXX1/libraryFiles/ downloadPublic/170
  • Fumero, A., & Miguel, A. de. (2023). Validación de la versión española del NEO-FFI-30. Análisis y Modificación de Conducta, 49(179). https:// doi.org/10.33776/amc.v49i179.7325
  • Grissom, R. J., & Kim, J. J. (2011). Effect sizes for research: Univariate and multivariate applications. Routledge Academic.
  • Hair, J. F., Hult, G. T. M., Ringle, C. M., & Sarstedt, M. (2022). A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM) (3ª Ed.). Sage.
  • Hair, J. F., Ringle, C. M., & Sarstedt, M. (2011). PLS-SEM: Indeed a silver bullet. Journal of Marketing Theory and Practice, 19(2), 139–152. https://doi.org/10.2753/MTP1069-6679190202
  • Hayduk, L. A. (2014). Shame for disrespecting evidence: The personal consequences of insufficient respect for structural equation model testing. BMC: Medical Research Methodology, 14(124). https://doi. org/10.1186/1471-2288-14-124
  • Hernández Ramos, J. P., Martínez Abad, F., García Peñalvo, F. J., Herrera García, M. E., & Rodríguez Conde, M. J. (2014). Teachers’ attitude regarding the use of ICT. A factor reliability and validity study. Computers in Human Behavior, 31, 509-516. https://doi.org/10.1016/j.chb.2013.04.039
  • Hu, L., Bentler, P.M., & Kano, Y. (1992). Can test statistics in covariance structure analysis be trusted? Psychological Bulletin, 112(2), 351-362.
  • MacCallum, R. C., Roznowski, M., & Necowitz, L. B. (1992). Model modifications in covariance structure analysis: The problem of capitalization on chance. Psychological Bulletin, 111(3), 490-504. https://doi.org/10.1037/0033-2909.111.3.490
  • Martínez-García, J.A. (2024, en prensa). Crítica del análisis de la validez de constructo de la Escala de Detección de alumnos con Altas Capacidades para Padres (GRS 2); réplica a Tourón et al. (2023). Revista de Educación.
  • Martínez-García, J. A., & Martínez-Caro, L. (2009). El análisis factorial confirmatorio y la validez de escalas en modelos causales. Anales de Psicología, 25(2), Article 2.
  • Norman, I., & Griffiths, P. (2008). Duplicate publication and «salami slicing»: Ethical issues and practical solutions. International Journal of Nursing Studies, 45(9), 1257-1260. https://doi.org/10.1016/j. ijnurstu.2008.07.003
  • Quijada, A., Ruiz, M. A., Huertas, J. A., & Alonso-Tapia, J. (2020). Desarrollo y validación del Cuestionario de Clima Escolar para Profesores de Secundaria y Bachillerato (CES-PSB). Anales de Psicología, 36(1), 155- 165. https://doi.org/10.6018/analesps.36.1.341001
  • Rodríguez Conde, M. J., Olmos Migueláñez, S., & Martínez Abad, F. (2012). Propiedades métricas y estructura dimensional de la adaptación española de una escala de evaluación de competencia informacional autopercibida (IL-HUMASS). Revista de investigación educativa, 30(2), 347-365.
  • Sánchez-Prieto, J. C., Hernández-García, Á., García-Peñalvo, F. J., Chaparro-Peláez, J., & Olmos-Migueláñez, S. (2019). Break the walls! Second-Order barriers and the acceptance of mLearning by first-year pre-service teachers. Computers in Human Behavior, 95, 158–167. https://doi.org/10.1016/j.chb.2019.01.019
  • Sarstedt, M., Hair, J. F., Ringle, C. M., Thiele, K. O., & Gudergan, S. P. (2016). Estimation issues with PLS and CBSEM: Where the bias lies! Journal of Business Research, 69(10), 3998-4010. https://doi.org/10.1016/j. jbusres.2016.06.007
  • Schmitt, T. A., Sass, D. A., Chappelle, W., & Thompson, W. (2018). Selecting the “Best” Factor Structure and Moving Measurement Validation Forward: An Illustration. Journal of Personality Assessment, 100(4), 345-362. https://doi.org/10.1080/00223891.2018.1449116
  • Šupak Smolčić, V. (2013). Salami publication: Definitions and examples. Biochemia Medica, 23(3), 237-241. https://doi.org/10.11613/ BM.2013.030
  • Thomas, H. J., Scott, J. G., Coates, J. M., & Connor, J. P. (2019). Development and validation of the Bullying and Cyberbullying Scale for Adolescents: A multi-dimensional measurement model. British Journal of Educational Psychology, 89(1), 75-94. https://doi. org/10.1111/bjep.12223
  • Tourón, J., Martín, D., Navarro-Asencio, E., Pradas, S., & Iñigo, V. (2018). Validación de constructo de un instrumento para medir la competencia digital docente de los profesores (CDD). Revista española de pedagogía, 76(269), 25-54. https://doi.org/10.22550/REP76-1-2018-02
  • Tourón, M., Tourón, J., & Navarro-Asencio, E. (2023). Validez de Constructo de la Escala de Detección de Alumnado con Altas Capacidades para Profesores de Educación Infantil, Gifted Rating Scales (GRS2-P), en una muestra española. RELIEVE - Revista Electrónica de Investigación y Evaluación Educativa, 29(2), Article 2. https://doi.org/10.30827/ relieve.v29i2.27787
  • Tourón, M., Tourón, J., & Navarro-Asencio, E. (2024). Validación española de la Escala de Detección de altas capacidades, «Gifted Rating Scales 2 (GRS 2-S) School Form», para profesores. Estudios sobre Educación, 46, 33-55. https://doi.org/10.15581/004.46.002