Design and validation of a school well-being questionnaire in Primary Education
PDF (Español (España))

Keywords

factor analysis
school well-being
primary education
measurement invariance análisis factorial
bienestar escolar
educación primaria
invarianza de medida

How to Cite

Losada-Puente, L., Mendiri, P., Rebollo-Quintela, N., & Fraguela-Vale, R. (2024). Design and validation of a school well-being questionnaire in Primary Education. Aula Abierta, 53(3), 267–276. https://doi.org/10.17811/rifie.20660
Crossref
0
Scopus
0

Abstract

Measuring school well-being allows researchers to get relevant information to know children’s perceptions regarding one of the places where they spend most of their daily life. The aim of the current research was to design and validate an instrument to measure school well-being in Primary Education (CUBE-EP). It was carried out in various stages ending up with its application to a sample of 644 students (49.2% boys, 46.1% girls) from years 4-6. Exploratory (n = 328) and confirmatory (n = 316) analysis were carried out. A model in six correlated dimensions (teachers’ attitude and behaviour, peer relationships, peer conflicts, teachers’ methodology, positive emotions, and negative emotions) was obtained. These dimensions incorporate the 29 items of the final instrument. Factorial invariance by sex was confirmed and compose reliability and average variance extracted were tested. Its psychometric properties make it a useful tool for research and for schools to have a diagnosis of the students’ well-being to organise actions and proposals for improvement.

https://doi.org/10.17811/rifie.20660
PDF (Español (España))

References

Anderson, D. L., y Graham, A. P. (2016). Improving student wellbeing: having a say at school. School Effectiveness and School Improvement, 27(3), 348-366. https://doi.org/10.1080/09243453.2015.1084336

Barrance, R. M., y May Hampton, J. M. (2023). The relationship between subjective well-being in school and children’s participation rights: international evidence from the Children’s Wo Worlds survey. Children and Youth Services Review, 151, 107038. https://doi.org/10.1016/j.childyouth.2023.107038

Buda, M., y Szirmai, E. (2010). School Bullying in the Primary School. Report of a Research in Hajdú-Bihar County (Hungary). Journal of Social Research & Policy, 1(1), 49-68.

Casas, F., Bălţătescu, S., Bertran, I., González, M., y Hatos, A. (2013). School satisfaction among adolescents: Testing different indicators for its measurement and its relationship with overall life satisfaction and subjective well-being in Romania and Spain. Social Indicators Research, 111, 665-681. http://doi.org/10.1007/s11205-012-0025-9

Chen, X., Tian, L. y Huebner, E. S. (2020). Bidirectional relations between subjective well‑being in school and prosocial behavior among elementary school‑aged children: A longitudinal study. Child & Youth Care Forum, 49(1), 77-95. https://doi.org/10.1007/s10566-019-09518-4

Corominas, M., González-Carrasco, M., y Casas, F. (2022). Children’s school subjective well-being: the importance of schools in perception of support received from classmates. Psicología Educativa, 28(2), 99-109. http://doi.org/10.5093/psed2021a7

Dominguez-Lara, S., y Rodriguez, A. (2017). Índices estadísticos de modelos bifactor. Interacciones, 3(2), 59-65. http://doi.org/10.24016/2017.v3n2.51

Dueber, D. M. (2017). Bifactor Indices Calculator: A Microsoft Excel-based tool to calculate various indices relevant to bifactor CFA models [Excel File]. https://doi.org/10.13023/edp.tool.01

Elosua, P. (2005). Evaluación progresiva de la invarianza factorial entre las versiones original y adaptada de una escala de autoconcepto. Psicothema, 17(2), 356–362.

Fanchini, A., Jongbloed, J., y Dirani, A. (2019). Examining the well-being and creativity of schoolchildren in France. Cambridge Journal of Education, 49(4), 391-416. https://doi.org/10.1080/0305764X.2018.1536197

Fornell, C., y Larcker, D. F. (1981). Evaluating Structural Equation Models with it Unobservable Variables and Measurement Error. Journal of Marketing Research, 18(1), 39-50. http://doi.org/10.1177/002224378101800104

Fouquet-Chauprade, B. (2014). Bien-être et ressenti des discriminations à l'école. Une étude empirique en contexte ségrégué. L’Année sociologique, 64(2), 421-444. https://doi.org/10.3917/anso.142.0421

Graham, A., Fitzgerald, R., Powell, M. A., Thomas, N., Anderson, D. L., White, N., y Simmons, C. A. (2014). Approaches to wellbeing in schools: what role does recognition play? Executive summary. Centre for Children and Young People, Southern Cross University. https://doi.org/10.4226/47/58eaed4c09218

Guimard, P., Bacro, Florin, A., Ferrière, S., Gaudonville, T., y Thanh Ngo, H. (2015). Le bien-être des élèves à l’école et au collège. Validation d’une échelle multidimensionnelle, analyses descriptives et différentielles. Education y formations, 88-89, 163-184.

Hair, J. F., Black, W. C., Babin, B., y Anderson, R. (2019). Multivariate data analysis (8ª ed.). Cengage Learning.

Heale, R., y Twycross, A. (2015). Validity and reliability in quantitative studies. Evidence Based Nursery, 15(3), 66-67. http://doi.org/10.1136/eb-2015-102129

Konu, A., y Rimpelä, M. (2002). Well-being in schools: a conceptual model. Health Promotion International, 17(1), 79-87. https://doi.org/10.1093/heapro/17.1.79

Lagonell, M. T., Sidera, F., Gras, M., y Mera, D. (2018). Design of a Self-esteem Scale for Schoolchildren: EVA 2015. Universitas Psychologica, 17(4), 1-11. http://doi.org/10.11144/Javeriana.upsy17-4.dsss

Lévi, J.-P., y Varela, J. (2006). Análisis multivariable para las Ciencias Sociales. McGrawHill.

Ley Orgánica 3/2020, de 29 de diciembre, por la que se modifica la Ley Orgánica 2/2006, de 3 de mayo, de Educación. Boletín Oficial del Estado, 340, de 30 de diciembre de 2020.

Ley Orgánica 8/2021, de 4 de junio, de protección integral a la infancia y la adolescencia frente a la violencia. Boletín Oficial del Estado, 134, de 5 de junio de 2021.

Liu, W., Tian, L., Huebner, E. S., Zheng, X., y Li, Z. (2015). Preliminary development of the elementary school students’ subjective well-being in school scale. Social Indicators Research, 120, 917-937. https://doi.org/10.1007/s11205-014-0614-x

Losada-Puente, L., Mendiri, P., y Rebollo-Quintela, N. (2022). Del bienestar general al bienestar escolar: una revisión sistemática. RELIEVE, 28(1), 1-15 http://doi.org/10.30827/relieve.v28i1.23956

McLellan, R., y Steward, S. (2015). Measuring children and young people’s wellbeing in the school context. Journal of education, 45(3), 307-332. https://doi.org/10.1080/0305764X.2014.889659

Mendiri, P., Rebollo-Quintela, N., y Losada-Puente, L. (2024). El bienestar escolar desde la experiencia del alumnado de Educación Primaria. Educar, 60(2), 237-254. https://doi.org/10.5565/rev/educar.1818

Moliner, L., Alegre, F., Cabedo-Mas, A., y Chiva-Bartoll, O. (2020). Students’ social well-being at school: Development, validation and analysis of the results of a questionnaire for primary education students. Frontiers in Education, 6, 800248. https://doi.org/10.31124/advance.11708949.v1

Morata-Ramírez, M. A., Holgado-Tello, F. P., Barbero-García, I., y Mendez, G. (2015). Análisis Factorial Confirmatorio. Recomendaciones sobre Mínimos Cuadrados no Ponderados en función del error Tipo I de Ji-cuadrado y RMSEA. Acción Psicológica, 12(1), 79-90. http://doi.org/10.5944/ap.12.1.14362

Muñiz, J., y Fonseca-Pedrero, E. (2019). Diez pasos para la construcción de un test. Psicothema, 31(1), 7-16. https://doi.org/10.7334/psicothema2018.291

Nunnally, J. C. (1978). Psychometric Theory. McGraw-Hill.

Putnick, D. L., y Bornstein, M. H. (2016). Measurement invariance conventions and reporting: The state of the art and future directions for psychological research. Developmental Review, 41, 71-90. https://doi.org/10.1016/j.dr.2016.06.004

Raccanello, D., Vicentini, G., Trifiletti, E., y Burro, R. (2020). A Rasch Analysis of the School-Related Well-Being (SRW) Scale: Measuring Well-Being in the Transition from Primary to Secondary School. International Journal of Environment Research and Public Health, 18(1), 1-23. https://doi.org/10.3390/ijerph18010023

Reise, S. P., Bonifay, W., y Haviland, M. G. (2013). Scoring and modelling psychological measures in the presence of multidimensionality. Journal of Personality Assessment, 95(2), 129-140. https://doi.org/10.1080/00223891.2012.725437

Rodríguez, A., Reise, S. P., y Haviland, M. G. (2016). Applying bifactor statistical indices in the evaluation of psychological measures. Journal of Personality Assessment, 98(3), 223-237. https://doi.org/10.1080/00223891.2015.1089249

Sabri, F., Rotheroe, A., y Kazimirski, A. (2015). Measuring the well-being of young people with special educational needs. New Philanthropy Capital.

Su, T., Tian, L., y Huebner, E. S. (2019). The reciprocal relations among prosocial behavior, satisfaction of relatedness needs at school, and subjective well-being in school: A three-wave cross-lagged study among Chinese elementary school students. Current Psychology, 40, 3734-3746. https://doi.org/10.1007/s12144-019-00323-9

Tian, L., Wang, D., y Huebner, E. S. (2015). Development and Validation of the Brief Adolescents’ Subjective Well-Being in School Scale (BASWBSS). Social Indicators Research, 120, 615-634. https://doi.org/10.1007/s11205-014-0603-0

Yang, Q., Tian, L., Huebner, E. S., y Zhu, X. (2018). Relations among academic achievement, self-esteem, and subjective well-being in school among elementary school students: A longitudinal mediation model. School Psychology Quarterly, 34(3), 328-340. https://doi.apa.org/doi/10.1037/spq0000292

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Copyright (c) 2024 Aula Abierta

Downloads