Analisis Efektivitas Sosialisasi Riset Statistika terhadap Persepsi Sineas Forum Film Jambi dalam Evaluasi Film: Kajian Empiris dengan Bayesian T-Test
Analysis of the Effectiveness of Statistics Socialization on Filmmakers’ of Forum Film Jambi Perceptions in Film Evaluation: An Empirical Study Using the Bayesian T-Test
DOI:
https://doi.org/10.59525/gej.v3i1.284Keywords:
Bayesian T-test, Short Film Evaluation, StatisticsAbstract
The world of film initially developed from the personal perspective of its makers. The process of filmmaking, assessing film aspects, and evaluating a film are often carried out subjectively, depending on the experience and perception of each individual. This study aims to determine the effectiveness of socialization of the use of statistics in film evaluation to filmmakers of the Jambi Film Forum (FFJ). This research method uses a quantitative approach. This activity was carried out by distributing a questionnaire containing 15 Likert-scale questions to assess participants' perceptions after the socialization. The collected data were analyzed for reliability using Cronbach's Alpha, which showed a value of 0.795, thus declaring the instrument reliable. Next, the effectiveness of the socialization was tested using the Bayesian Paired Samples T-Test, which produced a Bayes Factor value of 2.018 × 10⁷ with an error rate close to zero. The results of the study indicate very strong evidence to accept the alternative hypothesis that filmmakers' perceptions improved significantly after the socialization. With an average score of 58.7, the majority of respondents agreed with the importance of applying statistics in film evaluation. These findings confirm that the outreach program was effective and had a positive impact on participant acceptance. They also demonstrate that the Bayesian approach can be an appropriate analytical method for evaluating the success of similar activities in the social and educational fields.
References
Derks, K., de Swart, J., Wagenmakers, E. J., & Wetzels, R. (2025). The Bayesian Approach to Audit Evidence: Quantifying Statistical Evidence Using the Bayes Factor. AUDITING: A Journal of Practice & Theory, 44(1), 55–71. doi:10.2308/AJPT-2021-086
Edelsbrunner, P. A., Simonsmeier, B. A., & Schneider, M. (2025). The Cronbach’s Alpha of Domain-Specific Knowledge Tests Before and After Learning: A Meta-Analysis of Published Studies. Educational Psychology Review 2025 37:1, 37(1), 1–43. doi:10.1007/S10648-024-09982-Y
Forero, C. G. (2023). Cronbach’s Alpha. Encyclopedia of Quality of Life and Well-Being Research, 1505–1507. doi:10.1007/978-3-031-17299-1_622
Forester, B. J., Idris, A., Khater, A., Afgani, M. W., & Isnaini, M. (2024). Penelitian Kuantitatif: Uji Reliabilitas. Edu Society: Jurnal Pendidikan, Ilmu Sosial Dan Pengabdian Kepada Masyarakat, 4(3), 1812–1820. doi:10.56832/EDU.V4I3.577
Gönen, M. (2010). The Bayesian t-Test and Beyond. Methods in Molecular Biology (Clifton, N.J.), 620, 179–199. doi:10.1007/978-1-60761-580-4_4
Heck, D. W., Boehm, U., Böing-Messing, F., Bürkner, P. C., Derks, K., Dienes, Z., … Hoijtink, H. (2022). A Review of Applications of the Bayes Factor in Psychological Research. Psychological Methods, 28(3), 558–579. doi:10.1037/MET0000454
Hoijtink, H., van Lissa, C., Mulder, J., & Gu, X. (2019). A Tutorial on Testing Hypotheses Using the Bayes Factor. Psychological Methods, 24(5), 539–556. doi:10.1037/MET0000201
Johnson, V. E., Pramanik, S., & Shudde, R. (2023). Bayes factor functions for reporting outcomes of hypothesis tests. Proceedings of the National Academy of Sciences of the United States of America, 120(8), e2217331120. doi:10.1073/PNAS.2217331120/SUPPL_FILE/PNAS.2217331120.SAPP.PDF
Kristina, O. :, & Permatasari, G. (2021). Problematika Pembelajaran Matematika Di Sekolah Dasar / Madrasah Ibtidaiyah. Jurnal Pedagogy, 14(2), 68–84. doi:10.63889/PEDAGOGY.V14I2.96
Malone, H. E., & Coyne, I. (2025). A Tutorial on Conducting and Interpreting a Bayesian Independent T-Test Using Open-Source Software. Journal of Advanced Nursing, 0, 2025. doi:10.1111/JAN.70122;WGROUP:STRING:PUBLICATION
Mumu, J., Tanujaya, B., Charitas, R., & Prahmana, I. (2022). Likert Scale in Social Sciences Research: Problems and Difficulties. FWU Journal of Social Sciences, 16(4), 89–101. doi:10.51709/19951272/Winter2022/7
Peter Rosenfeld, J., & Olson, J. M. (2021). Bayesian Data Analysis: A Fresh Approach to Power Issues and Null Hypothesis Interpretation. Applied Psychophysiology Biofeedback, 46(2), 135–140. doi:10.1007/S10484-020-09502-Y/TABLES/3
Pitaloka, L. S. D., & Rengganis, R. (2023). Fungsi, Konflik, Dan Kritik Sosial Dalam Film Yowis Ben 2 Karya Bayu Skak Dan Fajar Nugros (Perspektif Georg Simmel). Bapala, 10(1), 13–28.
Putri, R. I. I., Araiku, J. dan Sari, N. (2020). Statistik Deskriptif. Palembang: Bening Media Publishing
Ramos-Vera, C. A. (2021). The Bayes Factor, a Suitable Complement beyond Values of p<0.05 in Nursing Research and Education. Investigacion y Educacion En Enfermeria, 39(1), e14. doi:10.17533/UDEA.IEE.V39N1E14
Rosita, E., Hidayat, W., Yuliani, W., & Studi Bimbingan dan Konseling, P. (2021). UJI VALIDITAS DAN RELIABILITAS KUESIONER PERILAKU PROSOSIAL. FOKUS : Kajian Bimbingan Dan Konseling Dalam Pendidikan, 4(4), 279–284. doi:10.22460/FOKUS.V4I4.7413
Schmalz, Xenia, Manresa, B., Jose, Zhang, & Lei. (2023). What is a Bayes Factor. Psychological Mehods, 28(3), 705–718.
Solehudin, H., Budiarti, E. dan Umam, K. (2024). Penelitian Kuantitatif dan Statistik. Pasaman Barat: Azka Pustaka.
van de Schoot, R., Depaoli, S., King, R., Kramer, B., Märtens, K., Tadesse, M. G., … Yau, C. (2021). Bayesian statistics and modelling. Nature Reviews Methods Primers, 1(1), 1–26. doi:10.1038/S43586-020-00001-2;SUBJMETA=531,639,648,705,706; KWRD=SCIENTIFIC+COMMUNITY,STATISTICS
Wang, M., & Liu, G. (2016). A Simple Two-Sample Bayesian t-Test for Hypothesis Testing. American Statistician, 70(2), 195–201. doi:10.1080/00031305.2015.1093027; PAGE:STRING:ARTICLE/CHAPTER
Wei, Z., Yang, A., Rocha, L., Miranda, M. F., & Nathoo, F. S. (2022). A Review of Bayesian Hypothesis Testing and Its Practical Implementations. Entropy 2022, Vol. 24, Page 161, 24(2), 161. doi:10.3390/E24020161
Zakariya, Y. F. (2022). Cronbach’s alpha in mathematics education research: Its appropriateness, overuse, and alternatives in estimating scale reliability. Frontiers in Psychology, 13, 1074430. doi:10.3389/FPSYG.2022.1074430/BIBTEX
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2025 Global Education Journal

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



