Comparative Numeracy in Statistical Reasoning of Pre-Service Early Childhood Teachers
Abstract
This study aims to analyze differences in statistical reasoning and numeracy skills between two groups of PG-PAUD Study Program students. Using a quantitative comparative approach, all 49 PG-PAUD students enrolled in statistics during the 2025/2026 even semester were included, divided into class A (25 students) and class B (24 students). The second group used IBM SPSS Statistics and the VClass platform for equivalent learning. Data were obtained through a digital-based final semester exam with 25 multiple-choice questions assessing statistical reasoning. Data analysis included normality and homogeneity tests, followed by an independent sample t-test and effect size analysis using Cohen’s d with IBM SPSS Statistics at a significance level of 0.05. Results show no significant difference in numeracy abilities in statistical reasoning between classes (t = 1.295; sig. = 0.201 > 0.05; Cohen's d = 0.37). Although class A had a higher average score (M = 81.28; SD = 13.99) compared to class B (M = 76.00; SD = 14.54), this difference was not statistically significant, and the effect size was small. Indicator analysis highlighted that students excelled most in selection analysis, but scored lower in understanding concepts, interpreting, and drawing conclusions. These findings underscore that while technology-based learning yields comparable statistical reasoning results, there is still room for deeper skill development
References
Apryani, D., & Pratama, M. A. (2025). Penggambaran Profil Kemampuan Numerasi Siswa SMP melalui Instrumen Penilaian Berbasis Gamifikasi. Edu Akommedia : Jurnal Ilmu Pendidikan, 3(1), 13–26. https://jurnal.akommedia.net/index.php/EDUAKOMMEDIA/article/view/133
Arikunto, S. (2013). Prosedur Penelitian: Suatu Pendekatan Praktik. Rineka Cipta.
Bakker, A., & Gravemeijer, K. P. E. (2004). Learning to Reason about Distribution. In D. Ben-Zvi & J. Garfield (Eds.), The Challenge of Developing Statistical Literacy, Reasoning and Thinking (pp. 147–168). Kluwer Academic Publishers.
Ben-Zvi, D., & Garfield, J. (2005). Statistical Literacy, Reasoning, and Thinking: Goals, Definitions, and Challenges. In D. Ben-Zvi & J. Garfield (Eds.), The challenge of developing statistical literacy, reasoning, and thinking (pp. 3–15). Springer.
Creswell, J. W. (2014). Research Design: Qualitative, Quantitative, and Mixed Methods Approaches (4th ed.). SAGE Publications, Inc.
Franklin, C., Kader, G., Mewborn, D., Moreno, J., Peck, R., Perry, M., & Scheaffer, R. (2007). Guidelines for Assessment and Instruction in Statistics Education ( GAISE ) Report: A Pre-K–12 Curriculum Framework.
Friedrich, A., Schreiter, S., Vogel, M., Genschow, S. B., Brünken, R., Kuhn, J., Lehmann, J., & Malone, S. (2024). What shapes statistical and data literacy research in K‑12 STEM education ? A systematic review of metrics and instructional strategies. International Journal of STEM Education, 1–24. https://doi.org/10.1186/s40594-024-00517-z
Gal, I. (2002). Adult ’ s statistical literacy : meanings , components , responsibilities. International Statistical Review, 70(1), 1–25.
Garfield, J. (2002). The Challenge of Developing Statistical Reasoning. Journal of Statistics Education, 10(3), 1–12. https://doi.org/10.1080/10691898.2002.11910676.
Gravetter, F. J., & Wallnau, L. B. (2014). Essentials of Statistics for the Behavioral Sciences (8th ed.). Wadsworth Cengage Learning.
Hajerina, & Mailili, W. H. (2025). The Effectiveness of Local Wisdom-Based LKPD in Improving Algebraic Numeracy Literacy of Students at SMPN Kab. Sigi. Koordinat Jurnal MIPA, 6(2), 96–106. https://doi.org/10.24239/koordinat.v6i2.191
Han, W., Susanto, D., Dewayani, S., Pandora, P., Hanifah, N., Miftahussururi, Nento, M. N., & Akbari, Q. S. (2017). Materi Pendukung Literasi Numerasi. Kementerian Pendidikan dan Kebudayaan.
Hasim, S. M., Rosli, R., & Halim, L. (2024). A Systematic Review on Teaching Strategies for Fostering Students ’ Statistical Thinking. International Journal of Learning, Teaching and Educational Research, 23(1), 136–158. https://doi.org/10.26803/ijlter.23.1.8
Hulu, E. S. M., Lase, S., Mendrofa, R. N., & Mendrofa, N. K. (2025). Pengaruh Model Pembelajaran Learning Cycle 7E terhadap Kemampuan Literasi Numerasi Matematika Siswa. J-PiMat, 7(2), 1951–1960.
Ilindia, L. P., Widyaningrum, I., & Rahayu, C. (2024). Math City Map: Student Numeration Using Android-Based Technology Media. Numerical: Jurnal Matematika Dan Pendidikan Matematika, 8(1), 37–46. https://doi.org/10.25217/numerical.v8i1
Kurnia, A. B., Lowrie, T., & Patahuddin, S. M. (2024). The development of high school students ’ statistical literacy across grade level. Mathematics Education Research Journal, 36(1), 7–35. https://doi.org/10.1007/s13394-023-00449-x
Lakens, D. (2013). Calculating and reporting effect sizes to facilitate cumulative science : a practical primer for t -tests and ANOVAs. Frontiers in Psychology, 4, 1–12. https://doi.org/10.3389/fpsyg.2013.00863
OECD. (2019). PISA 2018 Assessment and Analytical Framework (OECD, Ed.). OECD Publishing. https://doi.org/10.1787/19963777
Putri, A. A., & Wijayanti, P. (2024). Studi Kasus : Literasi Numerasi Siswa SMP dalam Menyelesaikan Soal AKM. J-PiMat, 6(1), 1211–1222.
Ratih, M. G. (2023). Kemampuan Literasi Matematis dan Efikasi Diri Siswa Madrasah Tsanawiyah. Koordinat Jurnal MIPA, 4(1), 12–20. https://doi.org/10.24239/koordinat.v4i1.51
Rumsey, D. J. (2002). Statistics Courses Statistical Literacy as a Goal for Introductory Statistics Courses. Journal of Statistics Education, 10(3), 1–12. https://doi.org/10.1080/10691898.2002.11910678
Sabbag, A., Zieffler, A., & Ng, C. (2025). Can We Distinguish Statistical Literacy and Statistical Reasoning? Statistics Education Research Journal, 24(1), 1–19. https://doi.org/10.52041/serj.v24i1.587
Sarassanti, Y., Sari, N., & Rismawati, M. (2023). Pengaruh Penggunaan SPSS terhadap Hasil Belajar Mahasiswa pada Materi Statistika Inferensia. J-PiMat, 5(2), 827–834.
Serquiña, M. A. (2025). Predictors of Statistical Literacy among Teacher-Education Graduate Students. International Journal of Research and Innovation in Applied Science (IJRIAS), 10(6), 144–195. https://doi.org/10.51584/IJRIAS.2025.10060013
Setiawan, E. P., Sukoco, H., & Agustyani, A. R. D. (2023). Developing Statistical Literacy Through Tasks : An Analysis of Secondary School Mathematics Textbooks. Jurnal Pendidikan Matematika, 17(2), 247–264. https://doi.org/10.22342/jpm.17.2.2023.247-264
Sharma, S. (2017). Definitions and Models of Statistical Literacy : A Literature Review. Open Review of Educational Research, 4(1), 118–133. https://doi.org/10.1080/23265507.2017.1354313
Sugiyono. (2019). Metode Penelitian Kuantitatif, Kualitatif, dan R&D. Alfabeta.
Utari, R. S., Putri, R. I. I., Zulkardi, & Hapizah. (2025). Advancing statistical literacy for prospective teachers : A systematic review of contemporary approaches and best practices. Jurnal Elemen, 11(2), 390–407.
Copyright (c) 2026 Dina Apryani, Elce Purwandari, Annisa Yulistia , Rafiq Badjeber, Chika Rahayu, Maya Adina Pratama

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