Psychometric properties of the Teaching Competence Assessment Scale in MathematicsSatisfaction and academic performance prediction model

  1. Raul Baños 1
  2. Juan Pablo Machado-Parra 1
  3. Emilio Manuel Arrayales-Millán 1
  4. Antonio Baena-Extremera 2
  1. 1 Universidad Autónoma de Baja California, México
  2. 2 Universidad de Granada, España
Revista:
Espiral. Cuadernos del profesorado

ISSN: 1988-7701

Año de publicación: 2023

Volumen: 16

Número: 33

Páginas: 1-13

Tipo: Artículo

DOI: 10.25115/ECP.V16I33.9369 DIALNET GOOGLE SCHOLAR lock_openDialnet editor

Otras publicaciones en: Espiral. Cuadernos del profesorado

Resumen

Los objetivos de este estudio fueron: (i) proporcionar evidencia de confiabilidad y validez del Cuestionario de Competencias Docentes para la clase de Matemáticas en el contexto mexicano; (ii) analizar la invariancia factorial según sexo en el Cuestionario de Competencia Docente; (iii) estudiar la relación entre las percepciones de los estudiantes sobre las competencias de enseñanza de Matemáticas, la satisfacción con la escuela y el rendimiento académico. Se seleccionó una muestra del total de estudiantes mexicanos de tercer grado de secundaria. El modelo de predicción mostró que la percepción de los estudiantes sobre la competencia de sus profesores de Matemáticas sí predice la satisfacción con la clase de Matemáticas, así como su rendimiento académico en Matemáticas

Referencias bibliográficas

  • Ahmed, W., Minnaert, A., van der Werf, G., & Kuyper, H. (2010). Perceived social support and early adolescents’ achievement: The mediational roles of motivational beliefs and emotions. Journal of Youth and Adolescence, 39(1), 36-46. https://doi.org/10.1007/s10964-008-9367-7
  • Ali, A., Tariq, R. H., & Topping, J. (2009). Students' perception of university teaching behaviours. Teaching in Higher Education, 14(6), 631-647. https://doi.org/10.1080/13562510903315159
  • Anaya, G. (1999). College impact on student learning: Comparing the use of self-reported gains, standardized test scores, and college grades. Research in Higher Education, 40(5), 499-526. https://doi.org/10.1023/A:1018744326915
  • Arbuckle, J.L., 2015. Amos (Version 24.0) [Computer Program]. IBM SPSS.
  • Baena-Extremera, A., Granero-Gallegos, A., & Martínez-Molina, M. (2015). Validación española de la Escala de Evaluación de la Competencia Docente en Educación Física de secundaria. Cuadernos de Psicología del Deporte, 15(3), 113-122. https://doi.org/10.4321/S1578-84232015000300011
  • Baños, R. Baena-Extremera, A., Ortiz-Camacho, M. M., Zamarripa, J., Beltrán, A., & Juvera- Portilla, J. L. (2019). Influencia de las competencias del profesorado de secundaria en los comportamientos disruptivos en el aula. Espiral. Cuadernos del Profesorado, 12(24), 3-10. https://doi.org/10.25115/ecp.v12i24.2141
  • Baños, R., Baena-Extremera, A., & Granero-Gallegos, A. (2019c). The Relationships between High School Subjects in terms of School Satisfaction and Academic Performance in Mexican Adolescents. International Journal Environmental Research Public Health, 16(18), 3494-3507. https://doi.org/10.3390/ijerph16183494
  • Baños, R., Baena-Extremera, A., & Ortiz-Camacho, M. D. M. (2019b). Prediction of the satisfaction with the student life, based on teaching competence and satisfaction with the school. Frontiers in Psychology, 10, 2506. https://doi.org/10.3389/fpsyg.2019.02506
  • Baños, R., Baena-Extremera, A., & Ortiz-Camacho, M. D. M. (2020). Prediction Model of Academic Performance and Satisfaction With School According to Some Subjects of Compulsory Secondary Education. Psychological Reports, 123(2), 435-451. https://doi.org/10.1177/0033294118805004
  • Baños, R., Barretos-Ruvalcaba, M., & Baena-Extremera, A. (2019a). Protocolo de estudio de las variables académicas, psicológicas y de actividad física que influyen en el rendimiento académico de adolescentes mexicanos y españoles. Espiral. Cuadernos del Profesorado, 12(25), 89–99. https://doi.org/10.25115/ecp.v12i25.2480
  • Baños, R., Ortiz-Camacho, M. M., Baena-Extremera, A., & Tristán-Rodríguez, J. L. (2017). Satisfacción, motivación y rendimiento académico en estudiantes de Secundaria y Bachillerato. Espiral. Cuadernos del Profesorado, 10(20), 40–50. https://doi.org/10.25115/ecp.v10i20.1011
  • Baños, R., Ortiz-Camacho, M. M., Baena-Extremera, A., & Zamarripa, J. (2018). Efecto del género del docente en la importancia de la Educación Física, clima motivacional, comportamientos disruptivos, la intención de práctica futura y rendimiento académico. Retos, 33, 252-257. https://doi.org/10.47197/retos.v0i33.59991
  • Baños, R., Toval, A., Morales-Delgado, N., & Ferrán, J. L. (2021). Analysis of movement during climbing as a strategy for learning the anatomy of the locomotor system in Sport Sciences. Espiral. Cuadernos del Profesorado, 14(29), 89-99. https://doi.org/10.25115/ecp.v12i25.2480
  • Barret, P. (2007). Structural equation modelling: Adjudging model fit. Personality and Individual Differences, 42, 815-824. https://doi.org/10.1016/j.paid.2006.09.018
  • Bentler, P. M. (2007). EQS for Windows (v. 6.1). Multivariate Software.
  • Benton, S. L., Duchon, D., & Pallett, W. H. (2013). Validity of student self-reported ratings of learning. Assessment & Evaluation in Higher Education, 38(4), 377-388. https://doi.org/10.1080/02602938.2011.636799
  • Bollen, K. A. & Long, J. (1994). Testing structural equation models. Sage.
  • Carretero-Dios, H. & Perez, C. (2007). Standards for the development and the review of instrumental studies: Considerations about test selection in psychological research. International Journal of Clinical and Health Psychology, 7, 863-882.
  • Catano, V. M. & Harvey, S. (2011). Student perception of teaching effectiveness: development and validation of the Evaluation of Teaching Competencies Scale (ETCS). Assessment and Evaluation in Higher Education, 36(6), 701-717. https://doi.org/10.1080/02602938.2010.484879
  • Chen, F. F. (2007). Sensitivity of goodness of fit indexes to lack of measurement invariance. Structural Equation Modeling, 14(3), 464–504. https://doi.org/10.1080/10705510701301834
  • Douglass, J. A., Thomson, G., & Zhao, C. M. (2012). The learning outcomes race: The value of self-reported gains in large research universities. Higher education, 64(3), 317-335. https://doi.org/10.1007/s10734-011-9496-x
  • Espeland, V., & Indrehus, O. (2003). Evaluation of students' satisfaction with nursing education in Norway. Journal of Advanced Nursing, 42(3), 226-236. https://doi.org/10.1046/j.1365-2648.2003.02611.x
  • Fawad, H., & Manarvi, I. A. (2014, December). Student feedback & systematic evaluation of teaching and its correlation to learning theories, Pedagogy & Teaching skills. In 2014 IEEE International Conference on Teaching, Assessment and Learning for Engineering (TALE) (pp. 398-404). IEEE. https://doi.org/10.1109/TALE.2014.7062572
  • Frenzel, A. C., Pekrun, R., & Goetz, T. (2007). Girls and mathematics—A “hopeless” issue? A control-value approach to gender differences in emotions towards mathematics. European Journal of Psychology of Education, 22(4), 497-514. https://doi.org/10.1007/BF03173468
  • Gherasim, L. R., Butnaru, S., & Mairean, C. (2013). Classroom environment, achievement goals and maths performance: Gender differences. Educational Studies, 39(1), 1-12. https://doi.org/10.1080/03055698.2012.663480
  • Granero-Gallegos, A., Baños, R., Baena-Extremera, A., & Martínez-Molina, M. (2020). Analysis of misbehaviours and satisfaction with school in secondary education according to student gender and teaching competence. Frontiers in Psychology, 11(63), 1-9. https://doi.org/10.3389/fpsyg.2020.00063
  • Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2009). Multivariate Data Analysis (7th ed.). Pearson Prentice Hall.
  • Helsinki Declaration (2008). World Medical Association. http://www.wma.net/es/30publications/10policies/b3/.
  • Hernández, R., Fernández, C., & Baptista, P. (2014). Metodology of investigation (6thª ed.). México: McGraw-Hill.
  • Hodgson, Y., Varsavsky, C., & Matthews, K. E. (2014). Assessment and teaching of science skills: whole of programme perceptions of graduating students. Assessment & Evaluation in Higher Education, 39(5), 515-530. https://doi.org/10.1080/02602938.2013.842539
  • Hooper, D., Coughlan, J., & Mullen, M. (2008). Structural Equation Modelling: Guidelines for Determining Model Fit. Electronic Journal of Business Research Methods, 6(1), 53-60.
  • Hu, L. & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria, https://doi.org/10.1080/10705519909540118
  • Jyoti, P., & Devi, P. N. (2008). Achievement motivation and its impact on academic stress study habits and academic performance among high school students. International Social Science Journal, 24(2), 107–115. https://doi.org/10.1037/t24331-000
  • Levy, R., & Hancock, G. R. (2007). A framework of statistical tests for comparing mean and covariance structure models. Multivariate Behavioral Research, 42(1), 33-66. https://doi.org/10.1080/00273170701329112
  • Lidice, A. & Saglam, G. (2012). Using student evaluations to measure educational quality. Procedia-Social and Behavioral Sciences, 70, 1009-1015. 24. https://doi.org/10.1016/j.sbspro.2013.01.152
  • Lizzio, A., Wilson, K., & Simons, R. (2002). University students' perceptions of the learning environment and academic outcomes: implications for theory and practice. Studies in Higher education, 27(1), 27-52. https://doi.org/10.1080/03075070120099359
  • Luna, E., Calderón, N., Caso, J. & Cordero, G. (2012). Desarrollo y validación de un cuestionario de evaluación de la competencia docente con base en la opinión de los estudiantes. In E. J. Cisneros-Cohernour, B. García-Cabrero, E. Luna, and R. Marín (coords.), Evaluación de Competencias Docentes en la Educación Superior (pp.119-158). Juan Pablos Editor. 25.
  • Lynn, M. (1986). Determination and quantification of content validity. Nursing Research, 35(6), 382-385. https://doi.org/10.1097/00006199-198611000-00017
  • Marsh, H. W. (2007). Students’ evaluations of university teaching: Dimensionality, reliability, validity, potential biases and usefulness. In R. P. Perry and J. C. Smart (Eds.), The scholarship of teaching and learning in higher education: An evidence-based perspective (pp. 319–384). Springer, https://doi.org/10.1007/1-4020-5742-3_9
  • Marsh, H. W., Martin, A. J., & Cheng, J. H. (2008). A multilevel perspective on gender in classroom motivation and climate: Potential benefits of male teachers for boys?. Journal of Educational Psychology, 100(1), 78-95. https://doi.org/10.1037/0022-0663.100.1.78
  • Martin, A. J., Yu, K., Papworth, B., Ginns, P., & Collie, R. J. (2015). Motivation and engagement in the United States, Canada, United Kingdom, Australia, and China: Testing a multi-dimensional framework. Journal of Psychoeducational Assessment, 32(2), 103–114. https://doi.org/10.1177/0734282914546287
  • Martínez-Molina, M., Granero-Gallegos, A., Baena-Extremera, A., & Baños, R. (2020). Invarianza factorial por sexo del cuestionario para las conductas disruptivas y escala de evaluación de la competencia docente en educación física en estudiantes de secundaria. Psychology, Society, & Education, 12(2), 125-137. https://doi.org/10.25115/psye.v12i2.3172
  • McNaught, C., Ng, S. S., & Chow, H. (2012). Literacies in the humanities: the student voice. Higher Education Research & Development, 31(2), 139-154. https://doi.org/10.1080/07294360.2010.542558
  • Milfont, T. L. & Fisher, R. (2010). Testing measurement invariance across groups: Applications in cross. International Journal of Psychological Research, 3(1), 111–121. https://doi.org/10.21500/20112084.857
  • Muñiz, J., Elosua, P., & Hambleton, R.K. (2013). Directrices para la traducción y adaptación de los tests: Segunda edición. Psicothema, 25(2), 151–7. https://bit.ly/3fmiJU6
  • Navarro, E., Expósito, E., López, E., & Thoilliez, B. (2014). EPIBI: Perception Scale of ChildWell-being Indicators. Validation of the instrument using polytomous Rasch models. Revista de Educación, 364, 39–65. https://doi.org/10.4438/1988-592X-RE-2014-364-254
  • Nunnally, J. C. & Bernstein, I. J. (1995). Teoría psicométrica. Mcgraw-Hill.
  • OECD (2013). Teaching and Learning International Survey TALIS 2013. Conceptual Framework. Retrevied from: http://www.oecd.org/education/school/TALIS%20Conceptual%20Framework_FINAL.pdf
  • OECD (2019). PISA 2018 Results. Where All Students Can Succeed. Volume II. Paris: OECD Publishing. December 29, 2020,https://doi.org/10.1787/b5fd1b8f-en
  • Paisey, A., Kobayashi, H., & Li, J. (2007). Behavioural strategies of teachers in Japan. Research in Education, 77(1), 77-91. https://doi.org/10.7227/RIE.77.6
  • Patrick, H., Ryan, A. M., & Kaplan, A. (2007). Early adolescents' perceptions of the classroom social environment, motivational beliefs, and engagement. Journal of Educational Psychology, 99(1), 83-98. https://doi.org/10.1037/0022-0663.99.1.83
  • Pekrun, R., Elliot, A. J., & Maier, M. A. (2006). Achievement goals and discrete achievement emotions: A theoretical model and prospective test. Journal of Educational Psychology, 98(3), 583-597. https://doi.org/10.1037/0022-0663.98.3.583
  • PLANEA. (2017). Plan Nacional para la Evaluación de los Aprendizajes. Resultados nacionales 2017 Educación Media Superior. INEE. http://planea.sep.gob.mx/content/general/docs/2017/ResultadosNacionalesPlaneaMS2017.PDF
  • Puklek-Levpušček, M., & Zupančič, M. (2009). Math achievement in early adolescence: The role of parental involvement, teachers' behavior, and students' motivational beliefs about math. The Journal of Early Adolescence, 29(4), 541-570. https://doi.org/10.1177/0272431608324189
  • Rasmussen, J. F., Scrabis-Fletcher, K., & Silverman, S. (2014). Relationships among tasks, time, and student practice in elementary physical education. Physical. Education, 71, 114–131.
  • Riegle-Crumb, C., Farkas, G., & Muller, C. (2006). The role of gender and friendship in advanced course taking. Sociology of Education, 79(3), 206-228. https://doi.org/10.1177/003804070607900302
  • Samuelsson, M., & Samuelsson, J. (2016). Gender differences in boys’ and girls’ perception of teaching and learning mathematics. Open Review of Educational Research, 3(1), 18-34. https://doi.org/10.1080/23265507.2015.1127770
  • Shim, S. S., Ryan, A. M., & Anderson, C. J. (2008). Achievement goals and achievement during early adolescence: Examining time-varying predictor and outcome variables in growth-curve analysis. Journal of Educational Psychology, 100(3), 655-671. https://doi.org/10.1037/0022-0663.100.3.655
  • Shomoossi, N. (2004). The effect of teachers questioning behaviour on EFL Classroom interaction: A classroom research study. The Reading Matrix, 4(2), 96-104.
  • Simpson, P. M. & Siguaw, J. A. (2000). Student evaluations of teaching: An exploratory study of the faculty response. Journal of Marketing Education, 22, 199-214. https://doi.org/10.1177/0273475300223004
  • Sun, R. C. (2016). Student misbehavior in Hong Kong: the predictive role of positive youth development and school satisfaction. Applied Research in Quality of Life, 11, 773–789. https://doi.org/10.1007/s11482-015-9395-x
  • Tabachnick, B. G. & Fidell, L. S. (2007). Using Multivariate Statistics (5th ed.). New York: Allyn and Bacon.
  • Takakura, M., Wake, N., & Kobayashi, M. (2010). The contextual effect of school satisfaction on health-risk behaviors in Japanese high school students. Journal of School Health 80, 544–551. https://doi.org/10.1111/j.1746-1561.2010.00540.x
  • Weber, K., Martin, M., & Patterson, B. (2001). Teacher behavior, student interest and affective learning: Putting theory to practice. Journal of Applied Communication Research, 29(1), 71-90. https://doi.org/10.1080/00909880128101