Assessing Geometric Proof Skills: Instrument Validation Through Reliability and Factor Analysis

Authors

Keywords:

geometric proof construction, instrument validation, reliability, exploratory factor analysis, deductive reasoning

Abstract

From a mathematics teacher education perspective, identifying the component processes involved in geometric proof reasoning may help prospective teachers interpret learners’ proof attempts and plan instruction. This study examined the internal consistency and empirical structure of a 25-item multiple-choice instrument for assessing proof-related reasoning in geometry. Responses from 275 Indonesian preservice mathematics teachers were analysed using item–total correlations, Cronbach’s alpha, and an exploratory analysis of the instrument’s component structure. The overall internal consistency was high (Cronbach’s α = 0.892), although four items had corrected item–total correlations below 0.30. The reported component analysis yielded a six-component solution accounting for 56.63% of the total variance. The components concern deductive relationships, linking premises, identifying relevant statements, recognising circular arguments, and reasoning with particular and universal propositions. These findings provide preliminary evidence of the instrument’s usefulness for investigating proof-related reasoning. However, weak items, cross-loadings, and the need for further psychometric confirmation mean that its subscale interpretations should be considered provisional. In mathematics teacher education, responses to the instrument may help teacher educators design activities in which prospective teachers analyse reasoning errors and consider appropriate instructional responses.

References

Anwar, L., Goedhart, M. J., & Mali, A. (2023). Learning trajectory of geometry proof construction: Studying the emerging understanding of the structure of Euclidean proof. Eurasia Journal of Mathematics, Science and Technology Education, 19(5), Article em2266. https://doi.org/10.29333/ejmste/13160

Anwar, L., Mali, A., & Goedhart, M. J. (2021). The effect of proof format on reading comprehension of geometry proof: The case of Indonesian prospective mathematics teachers. Eurasia Journal of Mathematics, Science and Technology Education, 17(4), Article em1952. https://doi.org/10.29333/EJMSTE/10782

Buchbinder, O., & McCrone, S. (2020). Preservice teachers learning to teach proof through classroom implementation: Successes and challenges. The Journal of Mathematical Behavior, 58, Article 100779. https://doi.org/10.1016/j.jmathb.2020.100779

Cirillo, M., & Hummer, J. (2021). Competencies and behaviors observed when students solve geometry proof problems: An interview study with smartpen technology. ZDM–Mathematics Education, 53(4), 861–875. https://doi.org/10.1007/s11858-021-01221-w

Cohen, L., Manion, L., & Morrison, K. (2007). Research methods in education (6th ed.). Taylor & Francis.

Creswell, J. W. (2014). Research design: Qualitative, quantitative, and mixed methods approaches (4th ed.). SAGE Publications.

Field, A. P. (2017). Discovering statistics using IBM SPSS Statistics (5th ed.). SAGE Publications.

Finch, W. H. (2023). A comparison of methods for determining the number of factors to retain with exploratory factor analysis of dichotomous data. Psych, 5(3), 1004–1018. https://doi.org/10.3390/psych5030067

Fujita, T., & Jones, K. (2014). Reasoning-and-proving in geometry in school mathematics textbooks in Japan. International Journal of Educational Research, 64, 81–91. https://doi.org/10.1016/j.ijer.2013.09.014

Fujita, T., Jones, K., & Miyazaki, M. (2018). Learners’ use of domain-specific computer-based feedback to overcome logical circularity in deductive proving in geometry. ZDM–Mathematics Education, 50(4), 699–713. https://doi.org/10.1007/s11858-018-0950-4

Hair, J., Anderson, R., Babin, B., & Black, W. (2013). Multivariate data analysis: Pearson new international edition (7th ed.). Pearson Deutschland. https://elibrary.pearson.de/book/99.150005/9781292035116

Hohol, M., & Miłkowski, M. (2019). Cognitive artifacts for geometric reasoning. Foundations of Science, 24(4), 657–680. https://doi.org/10.1007/s10699-019-09603-w

Jablonski, S., & Ludwig, M. (2023). Teaching and learning of geometry: A literature review on current developments in theory and practice. Education Sciences, 13(7), Article 682. https://doi.org/10.3390/educsci13070682

Jones, K., Miyazaki, M., & Fujita, T. (2015). Aspects of scaffolding in a web-based learning system for congruency-based proofs in geometry. In N. Amado & S. Carreira (Eds.), Proceedings of the 12th International Conference on Technology in Mathematics Teaching (ICTMT12), Portugal (pp. 561–563). Universidade do Algarve.

Kaiser, H. F. (1974). An index of factorial simplicity. Psychometrika, 39(1), 31–36. https://doi.org/10.1007/BF02291575

Komatsu, K., & Jones, K. (2019). Task design principles for heuristic refutation in dynamic geometry environments. International Journal of Science and Mathematics Education, 17(4), 801–824. https://doi.org/10.1007/s10763-018-9892-0

Lee, G. C.-Y. (2026). Using reasoning-and-proving cycles to foster pre-service teacher development in argumentation and proof: An illustration of practice. Mathematics Teacher Education and Development, 28(1), IoP Article 1.

Leung, K. C. I., & Lee, C. Y. (2017). Preservice and novice teachers’ knowledge on preformal proofs: Triangle postulate as an example. Mathematics Teacher Education and Development, 19(2), 51–80.

Makridis, O. (2022). Concepts of deductive reasoning. In O. Makridis (Ed.), Symbolic logic (pp. 57–80). Springer International Publishing. https://doi.org/10.1007/978-3-030-67396-3_2

Miyazaki, M., & Fujita, T. (2015). Proving as an explorative activity in mathematics education: New trends in Japanese research into proof. In B. Sriraman, J. Cai, K.-H. Lee, L. Fan, Y. Shimizu, C. S. Lim, & K. Subramaniam (Eds.), The first sourcebook on Asian research in mathematics education: China, Korea, Singapore, Japan, Malaysia and India (pp. 1375–1407). Information Age Publishing.

Miyazaki, M., Fujita, T., & Jones, K. (2014). Functions of open flow-chart proving in introductory lessons of formal proof. In P. Liljedahl, S. Oesterle, C. Nicol, & D. Allan (Eds.), Proceedings of the Joint Meeting of PME 38 and PME-NA 36 (Vol. 4, pp. 225–232). PME.

Miyazaki, M., Fujita, T., & Jones, K. (2015). Flow-chart proofs with open problems as scaffolds for learning about geometrical proofs. ZDM–Mathematics Education, 47(7), 1211–1224. https://doi.org/10.1007/s11858-015-0712-5

Miyazaki, M., Fujita, T., & Jones, K. (2017). Students’ understanding of the structure of deductive proof. Educational Studies in Mathematics, 94(2), 223–239. https://doi.org/10.1007/s10649-016-9720-9

Miyazaki, M., Nagata, J., Chino, K., Sasa, H., Fujita, T., Komatsu, K., & Shimizu, S. (2019). Curriculum development for explorative proving in lower secondary school Geometry: Focusing on the levels of planning and constructing a proof. Frontiers in Education, 4. https://doi.org/10.3389/feduc.2019.00031

Ramírez-Uclés, R., & Ruiz-Hidalgo, J. F. (2022). Reasoning, representing, and generalizing in geometric proof problems among 8th grade talented students. Mathematics, 10(5), Article 789. https://doi.org/10.3390/math10050789

Shrestha, N. (2021). Factor analysis as a tool for survey analysis. American Journal of Applied Mathematics and Statistics, 9(1), 4–11. https://doi.org/10.12691/ajams-9-1-2

Soames, S. (1995). Beyond singular propositions? Canadian Journal of Philosophy, 25(4), 515–549. https://doi.org/10.1080/00455091.1995.10717425

Stein, X. V., Tsarava, K., & Goecke, B. (2026). Development and validation of a preformal test for mathematical proof competence. Thinking Skills and Creativity, 61, Article 102139. https://doi.org/10.1016/j.tsc.2026.102139

Stylianides, G. J., Stylianides, A. J., & Moutsios-Rentzos, A. (2024). Proof and proving in school and university mathematics education research: A systematic review. ZDM–Mathematics Education, 56(1), 47–59. https://doi.org/10.1007/s11858-023-01518-y

Wu, A. D. (2020). Varimax loadings. In F. Maggino (Ed.), Encyclopedia of quality of life and well-being research. Springer International Publishing. https://doi.org/10.1007/978-3-319-69909-7_3150-2

Yang, K. L., & Lin, F. L. (2008). A model of reading comprehension of geometry proof. Educational Studies in Mathematics, 67(1), 59–76. https://doi.org/10.1007/s10649-007-9080-6

Downloads

Published

2026-10-09

Issue

Section

Articles