Effectiveness of an interactive scenario-based educational intervention to improve attitudes toward sports statistics: a quasi-experimental study
DOI:
https://doi.org/10.47197/retos.v72.116894Keywords:
Attitude, learning, students, physical education, teaching methodsAbstract
Introduction: Attitudes toward statistics are a determining factor in academic performance and in the ability to collect, organize, analyze, and interpret data in sports science.
Objective: To evaluate the effectiveness of an educational intervention based on interactive scenarios on attitudes toward sports statistics in university students.
Methodology: Quasi-experimental, interventionist study with a pretest-posttest design. The intervention consisted of a 16-week educational program based on interactive scenarios, integrating digital resources, tutorials, and practical activities. Fifty university students studying sports science participated. Attitudes were measured before and after the intervention using the Attitudes Toward Statistics-36 (SATS-36) questionnaire, which measures six dimensions: affect, cognitive competence, value, difficulty, interest, and effort. The data were analyzed using descriptive statistics, the Wilcoxon signed-rank test, and the student's t-test to identify differences.
Results: A significant improvement was observed in perceived learning difficulty (p < 0.001), indicating a reduction in affective-cognitive barriers. Changes were observed in the dimensions of affect (M: 4.26± 0.57 vs 4.15±0.73), value (M: 5.31± 0.88 vs 5.06±0.90), cognitive competence (M: 4.55± 0.78 vs 4.29±0.75), and effort (M: 6.26± 0.81 vs 6.01±0.76), which were not significant.
Conclusions: Educational interventions in interactive settings may be a promising strategy for improving attitudes toward statistics, especially in reducing the perception of difficulty. These findings support the incorporation of active and innovative methodologies in the teaching of statistics.
References
Aguilar Fernández, E., & Zamora Araya, J. A. (2024). Propiedades psicométricas del Survey of Attitudes Toward Statistics en español para estudiantes de ingeniería y matemática en la Universidad Nacional de Costa Rica. Revista Educación, 48(1), 1-22. https://doi.org/10.15517/revedu.v48i1.53853
Aguilar Fernández, E., Zamora Araya, J. A., & Guillén Oviedo, H. S. (2021). Alfabetización, razonamien-to y pensamiento estadísticos: competencias específicas que requieren promoverse en el aula. IE Revista de Investigación Educativa de la REDIECH, 12(e1118), 1-17. https://doi.org/10.33010/ie_rie_rediech.v12i0.1118
Alexeev, A. (2022). Teaching modern methodology for quantitative policy analysis. In Teaching grad-uate political methodology (pp. 300–308). Edward Elgar Publishing. https://doi.org/10.4337/9781800885288.00044
Alfaro Moreno, K., Aranda Cuéllar, P., Cabrera Barba, A., Rivera Galicia, L. F., & Senra Díaz, E. (2024). Attitudes towards statistics in business and economic studies: Implications for teaching innova-tion in undergraduate education. In Teaching innovations in economics (pp. 527–538). Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-72549-4_26
Althubaiti, A. (2021). Attitudes of medical students toward statistics in medical research: Evidence from Saudi Arabia. Journal of Statistics and Data Science Education, 29(1), 115–121. https://doi.org/10.1080/10691898.2020.1850220
Ashrafi, G. M., & Tariq, M. I. (2015). Investigating discrepancies in reliability coefficient of Survey of Students’ Attitudes towards Statistics (SATS 36) for a Pakistani sample. International Interdis-ciplinary Journal of Education, 4(7), 201–225. https://doi.org/10.12816/0025212
Barkan, H. (2015). Statistics in clinical research: Important considerations. Annals of Cardiac Anaest-hesia, 18(1), 74–82. https://doi.org/10.4103/0971-9784.148325
Barrera Mesa, M., & Fernández Morales, F. H. (2022). Actitudes hacia la estadística y su enseñanza en estudiantes y docentes de educación básica secundaria y media. Saber, Ciencia y Libertad, 17(2), 1-11. https://doi.org/10.18041/2382-3240/saber.2022v17n2.9340
British Educational Research Association (BERA). (2018). Ethical guidelines for educational research. https://www.bera.ac.uk/publication/guia-etica-para-la-investigacion-educativa-cuarta-edicion-2018
Berens, F., Findley, K., & Hobert, S. (2023). How students’ statistics beliefs influence their attitudes: A quantitative and a qualitative approach. In Statistics education, 17(2), 303-316. https://doi.org/10.1007/978-3-031-29459-4_22
Bernards, J., Sato, K., Haff, G., & Bazyler, C. (2017). Current research and statistical practices in sport science and a need for change. Sports, 5(4), 87. https://doi.org/10.3390/sports5040087
Corbo, A. R., & Sasaki, D. G. G. (2021). Using active learning methodologies in an introductory statistics course. Statistics Education Research Journal, 20(2), 1–17. https://doi.org/10.52041/serj.v20i2.113
Farokhi, M. R., English, D. K., Boone, S. L., & Amaechi, B. T. (2023). Health professions learners’ evalua-tion of e‐learning scenario‐based case study design: Reinvigorating flipped classroom modali-ties. Journal of Dental Education, 87(12), 1754–1765. https://doi.org/10.1002/jdd.13379
Franco, E., Tovar, C., González-Peño, A., & Coterón, J. (2021). Effects of a Sport Education Model-Based Teaching Intervention on Students’ Behavioral and Motivational Outcomes within the Physical Education Setting in the COVID-19 Scenario. Sustainability, 13(22), 12468. https://doi.org/10.3390/su132212468
Guidelines for Assessment and Instruction in Statistics Education (GAISE). (2016). College report. American Statistical Association. https://www.amstat.org/docs/default-source/amstat-documents/gaisecollege_full.pdf
Guo, Y., Rong, S., Dong, J., Ji, T., Niu, Y., & Guan, H. (2024). Perceptions of attitudes toward statistics among medical undergraduates: Insights from a regional medical college in China. BMC Medi-cal Education, 24(1), 579. https://doi.org/10.1186/s12909-024-05600-1
Hannigan, A., Gill, O., & Leavy, A. M. (2013). An investigation of prospective secondary mathematics teachers’ conceptual knowledge of and attitudes towards statistics. Journal of Mathematics Teacher Education, 16(6), 427–449. https://doi.org/10.1007/s10857-013-9246-3
Hernández de la Hera, J. M., Morales-Rodríguez, F. M., Rodríguez-Gobiet, J. P., & Martínez-Ramón, J. P. (2023). Attitudes toward mathematics/statistics, anxiety, self-efficacy and academic perfor-mance: An artificial neural network. Frontiers in Psychology, 14, Article 1214892. https://doi.org/10.3389/fpsyg.2023.1214892
Hommik, C., & Luik, P. (2017). Adapting the Survey of Attitudes Towards Statistics (SATS-36) for Esto-nian secondary school students. Statistics Education Research Journal, 16(1), 228–239. https://doi.org/10.52041/serj.v16i1.229
Luei, H. F. (2023). Statistical learning in sports education: A case study on improving quantitative anal-ysis skills through project-based learning. Journal of Hospitality, Leisure, Sport & Tourism Edu-cation, 32, Article 100417. https://doi.org/10.1016/j.jhlste.2023.100417
Jallad, S. T. (2025). Effectiveness of simulation-based education on educational practices of communi-cation skills, satisfaction, and self-confidence among undergraduate nursing students. Creative Nursing, 31(2), 135–143. https://doi.org/10.1177/10784535241301115
Khavensona, T., Orelb, E., & Tryakshinac, M. (2012). Adaptation of Survey of Attitudes Towards Statis-tics (SATS 36) for Russian sample. Procedia-Social and Behavioral Sciences, 46, 4954–4958. https://doi.org/10.1016/j.sbspro.2012.06.360
Koparan, T. (2014). Difficulties in learning and teaching statistics: Teacher views. International Journal of Mathematical Education in Science and Technology, 46(1), 94–104. https://doi.org/10.1080/0020739X.2014.941425
Kulacki, A. R., & Aikens, M. L. (2024). Examining motivational attitudes toward statistics and their rela-tionship to performance in life science students. Journal of Statistics and Data Science Educa-tion, 32(3), 1–12. https://doi.org/10.1080/26939169.2024.2365892
Lethbridge, L. E., Marshall, A. D., & Jauch, M. (2024). Attitudes towards statistics and statistical perfor-mance: A mediation model of statistics anxiety and academic procrastination. British Journal of Educational Psychology, 94(4), 1208–1223. https://doi.org/10.1111/bjep.12714
Li, C., Zhang, Y., Qin, W., Xia, J., Shang, L., & Wang, L. (2024). Assessing attitudes towards biostatistics education among medical students: Adaptation and preliminary evaluation of the Chinese ver-sion survey of attitudes towards statistics (SATS-36). BMC Medical Education, 24(1), 634. https://doi.org/10.1186/s12909-024-05548-2
Marsden, E., & Torgerson, C. J. (2012). Single group, pre- and post-test research designs: Some meth-odological concerns. Oxford Review of Education, 38(5), 583–616. https://doi.org/10.1080/03054985.2012.731208
Martínez García, J. A. (2024). Comparaciones estadísticas y elaboración de rankings de rendimiento de jugadores de baloncesto (Statistical comparisons and creation of rankings of performance of basketball players). Retos, 55, 170–176. https://doi.org/10.47197/retos.v55.103749
Medina-Hernández, E. J., Muñiz, J. L., Guzmán-Aguiar, D. S., & Holguín-Higuita, A. (2022). Recursos y estrategias para la enseñanza de la estadística y la analítica de datos en la educación superior. Formación Universitaria, 15(3), 61–68. https://doi.org/10.4067/S0718-50062022000300061
Méndez Marín, M. (2023). Dificultades en el aprendizaje de la estadística. Universidad Externado de Colombia. (Tesis de Maestría).
Morais, A. J., Freitas, A., Sá-Couto, P., & Rocha, A. (2023). Adaptação transcultural do SATS-36 para estudantes do 3o Ciclo do Ensino Básico Português. Bolema: Boletim de Educação Matemática, 37(76), 427–448. https://doi.org/10.1590/1980-4415v37n76a04
Norton, G., Taylor, M., Stewart, T., Blackburn, G., Jinks, A., Razdar, B., Holmes, P., & Marastoni, E. (2012). Designing, developing, and implementing a software tool for scenario-based learning. Australasian Journal of Educational Technology, 28(7), 1146-1160. https://doi.org/10.14742/ajet.790
Onwuegbuzie, A. J., & Wilson, V. A. (2003). Statistics Anxiety: Nature, etiology, antecedents, effects, and treatments—A comprehensive review of literature. Teaching in Higher Education, 8(2), 195–209. https://doi.org/10.1080/1356251032000052447
Pascual, R. F., Caballero Mariscal, D., Pinto, M., & Marín-Jiménez, A. E. (2025). Attitudes of University Students Toward Statistics as a Pathway to Data Literacy: A Meta-Analysis. Journal of Statistics and Data Science Education, 33(1), 1–18. https://doi.org/10.1080/26939169.2025.2475765
Papadimitriou, A. G. (2017). ISLEC: An Interactive Learning Scenario Framework. International Jour-nal of Computer Science Education in Schools, 1(3), 3–22. https://doi.org/10.21585/ijcses.v1i3.11
Peiró-Signes, Á., Trull, Ó., Segarra-Oña, M., & García-Díaz, J. C. (2020). Attitudes towards statistics in secondary education: Findings from fsQCA. Mathematics, 8(5), 804. https://doi.org/10.3390/math8050804
Peiró-Signes, Á., Trull, O., Segarra-Oña, M., & García-Díaz, J. C. (2021). Anxiety towards statistics and its relationship with students’ attitudes and learning approach. Behavioral Sciences, 11(3), 32. https://doi.org/10.3390/bs11030032
Persson, I., Kraus, K., Hansson, L., & Wallentin, F. Y. (2019). Confirming the structure of the Survey of Attitudes Toward Statistics (SATS-36) by Swedish students. Statistics Education Research Jour-nal, 18(1), 83–93. https://doi.org/10.52041/serj.v18i1.139
Ramos-Galarza, C., Ramos, V., Cruz-Cárdenas, J., & Bolaños-Pasquel, M. (2023). University students’ rejection to learning statistics: Research from a Latin American standpoint. Emerging Science Journal, 7(SIED2), 79–92. https://doi.org/10.28991/ESJ-2023-SIED2-07
Razali, F. A., Wahid, S. N. S., Adnan, N. I. M., Alam, N. M. F. H. N. B., & Hilmi, Z. A. G. (2023). The effect of students’ attitudes and concerns on statistical concepts performance: A SEM approach. Inter-national Journal of Education and Practice, 11(3), 669–680. https://doi.org/10.18488/61.v11i3.3469
Rodríguez-Santero, J., & Gil-Flores, J. (2019). Actitudes hacia la estadística en estudiantes de Ciencias de la Educación. Propiedades psicométricas de la versión española del Survey of Attitudes To-ward Statistics (SATS-36). RELIEVE - Revista Electrónica de Investigación y Evaluación Educa-tiva, 25(1), Artículo 4. https://doi.org/10.7203/relieve.25.1.12676
Rojas-Valverde, D., Gómez-Ruano, M. A., Ibañez, S. J., & Nikolaidis, P. T. (2023). Editorial: New tech-nologies and statistical models applied to sports and exercise science research: methodologi-cal, technical and practical considerations. Frontiers in Sports and Active Living, 5, Article 1267548. https://doi.org/10.3389/fspor.2023.1267548
Ross, S. M. (2017). Introduction to statistics. In Introductory statistics (pp. 1–15). Academic Press. https://doi.org/10.1016/B978-0-12-804317-2.00001-1
Salvador Rosado, C. E., Vargas Vásquez, L. M., Salvador Rosado, J. A., La Torre Bocanegra, R., & Cama-cho Delgado, F. M. (2024). Active pedagogical strategies: a project-based approach for teaching statistics in higher education. Sapienza: International Journal of Interdisciplinary Studies, 5(4), e24076. https://doi.org/10.51798/sijis.v5i4.677
Schau, C., Stevens, J., Dauphinee, T. L., & Del Vecchio, A. (1995). The development and validation of the Survey of Attitudes Toward Statistics. Educational and Psychological Measurement, 55(5), 868–875. https://doi.org/10.1177/0013164495055005022
Šiljak, V., Mijatović, S., & Gavrilović, D. (2024). Problems of statistics aplication in sports science. SCI-ENCE International Journal, 3(2), 21–25. https://doi.org/10.35120/sciencej0302021s
Silva, P. N., & Sarnecka, B. W. (2025). What do your students struggle with? A survey of statistics in-structors. Journal of Statistics and Data Science Education, 33(1), 1–12. https://doi.org/10.1080/26939169.2025.2455560
Soydan Oktay, Ö., & Yüzer, T. V. (2023). The analysis of interactive scenario design principles support-ing critical and creative thinking in asynchronous learning environments. Interactive Learning Environments, 32(8), 4183–4204. https://doi.org/10.1080/10494820.2023.2195443
Stanisavljevic, D., Trajkovic, G., Marinkovic, J., Bukumiric, Z., Cirkovic, A., & Milic, N. (2014). Assessing attitudes towards statistics among medical students: Psychometric properties of the Serbian version of the Survey of Attitudes Towards Statistics (SATS). PLoS ONE, 9(11), e112567. https://doi.org/10.1371/journal.pone.0112567
Thulin, M. (2024). Modern statistics with R. Chapman and Hall/CRC. https://doi.org/10.1201/9781003401339
Upsher, R., Dommett, E., Carlisle, S., Conner, S., Codina, G., Nobili, A., & Byrom, N. C. (2025). Improving reporting standards in quantitative educational intervention research: Introducing the CLOSER and CIDER checklists. Journal of New Approaches in Educational Research, 14(1), Artículo 2. https://doi.org/10.1007/s44322-024-00022-9
Villarejos García, D. H., Navarro Martínez, C., & Pino Ortega, J. (2025). Uso de la estadística multiva-riante para analizar el rendimiento en competiciones de Futsal: revisión sistemática. Retos, 66, 539–554. https://doi.org/10.47197/retos.v66.112361
Von Roten, F. C., & de Roten, Y. (2023). Undergraduate sport sciences students’ attitudes towards sta-tistics: A gender perspective. Journal of Hospitality, Leisure, Sport & Tourism Education, 33, Ar-tículo 100452. https://doi.org/10.1016/j.jhlste.2023.100452
Yıldız, E., Sarıtaş, M. T., & Can ŞENEL, H. (2015). Examining the attitudes and intention to use synchro-nous distance learning technology among pre-service teachers: A qualitative perspective of Technology Acceptance Model. American Journal of Educational Research, 3(10A), 17–25. https://doi.org/10.12691/education-3-10A-3
Zamora Araya, J. A., Aguilar Fernández, E., & Guillén Oviedo, H. S. (2021). Educación Estadística: ten-dencias para su enseñanza y aprendizaje en educación secundaria y terciaria. Revista Educa-ción, 46(1), 518–537. https://doi.org/10.15517/revedu.v46i1.43494
Zhang, M., Kang, Z., & Zhang, Z. (2022). Curriculum reform and practical application under the back-ground of information technology and big data—Take the course of “Multivariate Statistical Analysis” as an example. Journal of Applied Mathematics and Computation, 6(3), 370–374. https://doi.org/10.26855/jamc.2022.09.009
Downloads
Published
Issue
Section
License
Copyright (c) 2025 Eduar Alonso Ceballos-Bernal, Jorge Enrique Correa-Bautista

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Authors who publish with this journal agree to the following terms:
- Authors retain copyright and ensure the magazine the right to be the first publication of the work as licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgment of authorship of the work and the initial publication in this magazine.
- Authors can establish separate additional agreements for non-exclusive distribution of the version of the work published in the journal (eg, to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this journal.
- Is allowed and authors are encouraged to disseminate their work electronically (eg, in institutional repositories or on their own website) prior to and during the submission process, as it can lead to productive exchanges, as well as to a subpoena more Early and more of published work (See The Effect of Open Access) (in English).
This journal provides immediate open access to its content (BOAI, http://legacy.earlham.edu/~peters/fos/boaifaq.htm#openaccess) on the principle that making research freely available to the public supports a greater global exchange of knowledge. The authors may download the papers from the journal website, or will be provided with the PDF version of the article via e-mail.