Enhancing Undergraduate Students' Competency in Quantitative Data Processing for Academic Writing Through a Statisty.app-Based Workshop
DOI:
https://doi.org/10.64619/v2i1.29Keywords:
Community service, Statisty.app, Quantitative data, Academic writing workshop, Pre-post testAbstract
This community service activity aimed to enhance the quantitative data processing competency of undergraduate students through a Statisty.app-based workshop held at Universitas Negeri Makassar (UNM) on April 25, 2026. Statisty.app is a free, web-based statistical analysis platform requiring no installation. A total of 53 students participated in the pre-test and 48 in the post-test, predominantly from the first and second semester (92.5%) and with no prior training in data analysis (94.3%). The workshop covered six sessions: introduction to quantitative data, Statisty.app orientation, data preparation, validity and reliability testing, descriptive and inferential analysis, and interpretation of statistical results. A pre-post test design was employed using a 10-item Likert-scale instrument aligned with the workshop sessions. The Wilcoxon Signed-Rank Test was used due to non-normal pre-test score distribution. Results revealed a statistically significant improvement in student competency (W = 80.500, p < 0.001), with a large effect size (Cohen's d = 1.110) and a mean Normalized Gain of 35.4% (moderate category). Workshop evaluation scores were consistently high across all dimensions (M = 3.94–4.15 out of 5). These findings indicate that a structured, application-based workshop using accessible tools effectively improves students' quantitative research competency for academic writing.
References
[1] Direktorat Jenderal Pendidikan Tinggi, “Panduan Penulisan Karya Tulis Ilmiah Mahasiswa,” Kementerian Pendidikan, Kebudayaan, Riset, dan Teknologi, Jakarta, 2022.
[2] A. Field, “Statistical anxiety and its implications for statistical education,” in Teaching Statistics in Higher Education, Routledge, 2022, pp. 45–61.
[3] S. Rahayu and A. Nurhidayah, “Statistical anxiety among undergraduate students in Indonesian universities: A cross-sectional survey,” Journal of Educational Research and Evaluation, vol. 27, no. 2, pp. 145–158, 2023.
[4] J. R. Leech, B. J. Morgan, and G. A. Gloeckner, “IBM SPSS for Introductory Statistics: Use and Interpretation, 6th ed. New York: Routledge, 2022.
[5] Undang-Undang Republik Indonesia Nomor 12 Tahun 2012 tentang Pendidikan Tinggi, Pasal 1 Ayat 9 tentang Tri Dharma Perguruan Tinggi, 2012.
[6] M. T. Suri and D. L. Thomas, “Impact of a structured statistics workshop on research self-efficacy among graduate students,” Statistics Education Research Journal, vol. 22, no. 1, pp. 1–18, 2023.
[7] Statisty.app, “Statisty — Free Online Statistics Software,” statisty.app, 2024. [Online]. Available: https://statisty.app. [Accessed: Apr. 20, 2026].
[8] R. R. Hake, “Interactive-engagement versus traditional methods: A six-thousand-student survey of mechanics test data for introductory physics courses,” American Journal of Physics, vol. 66, no. 1, pp. 64–74, 1998.
[9] J. Cohen, Statistical Power Analysis for the Behavioral Sciences, 2nd ed. Hillsdale, NJ: Lawrence Erlbaum Associates, 1988.
[10] M. D. Onwuegbuzie and N. L. Leech, “Assessing the effectiveness of statistics workshops using pre-post assessment design,” Journal of Statistics Education, vol. 31, no. 2, pp. 88–102, 2023.
[11] L. M. de Heus, “Comparison of JASP, jamovi, and SPSS for teaching introductory statistics: A usability study,” Teaching of Psychology, vol. 50, no. 3, pp. 298–307, 2023.
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Copyright (c) 2026 Muhammad Ammar Naufal, Mansyur Mansyur, Muhammad Saddang, Hisyam Ihsan, Ahmad Zaki (Author)
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