Statistical Anxiety of Religious College Students: A Review of Reducing Factors of Statistical Anxiety

Deni Iriyadi, Yogi Damai Syaputra, Monalisa Monalisa

Abstract


This research aims to determine the level of statistical anxiety among students from religious universities. Understanding this is crucial since knowledge of statistics is necessary for completing final assignments, while the students' backgrounds are generally from Islamic boarding schools. This research employs a mixed-method approach with an explanatory sequential design, prioritizing a quantitative approach followed by a qualitative approach. The respondents were students enrolled in statistics courses, totaling 479 participants. The sampling technique used multistage random sampling, starting with cluster random sampling, followed by purposive sampling. Anxiety levels were measured using the Statistics Anxiety Scale (SAS) instrument, consisting of 17 questions covering three aspects: worry, avoidance, and emotional aspects. The Mixed-Methods Sequential Explanatory Design involved gathering and analyzing quantitative data first, followed by qualitative data. Results indicated differences in statistical anxiety levels among non-exact students. Initially, 45% of students exhibited high anxiety levels, which decreased to 14%, while low anxiety levels increased from 27% to 49%. This suggests that learning processes requiring complex numeracy need appropriate interventions, such as using various tools (software) that significantly impact the learning process. Implementing a peer tutoring program can also boost self-confidence. Therefore, study program managers or lecturers must focus on enhancing students' self-confidence to reduce anxiety. Using suitable learning aids can make a significant difference.

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Keywords


Statistical Anxiety; Religious Collage Student; Statistics Anxiety Scale; Mix Method; Statistics Course

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References


Almeida, F. (2018). Strategies to perform a mixed methods study. European Journal of Education Studies. https://doi.org/10.5281/zenodo.1404121

Astuti, S. P., & Alhidayatuddiniyah, T. W. (2020). Pemanfaatan Software Matrix Laboratory (Matlab) untuk meningkatkan minat belajar mahasiswa dalam pembelajaran fisika kinematika. Pendekar: Jurnal Pendidikan Berkarakter, 3(2), 54–57. https://doi.org/10.31227/osf.io/x7rs8

Bardach, L., & Klassen, R. M. (2020). Smart teachers, successful students? A systematic literature review on teachers’ cognitive abilities and effectiveness. Educational Research Review, 30, 100312. https://doi.org/10.1016/j.edurev.2020.100312

Bourne, V. J. (2018). Exploring statistics anxiety: Contrasting mathematical, academic performance and trait psychological predictors. Psychology Teaching Review, 24(1), 35–43. https://doi.org/10.53841/bpsptr.2018.24.1.35

Carveth, D. L. (2021). Psychoanalytic theory of anxiety and defense. Metalepsis: Journal of the American Board and Academy of Psychoanalysis, 1(1), 12–24. https://doi.org/10.52112/mtl.v1i1.3

Chew, P. K. H., Dillon, D. B., & Swinbourne, A. L. (2018). An examination of the internal consistency and structure of the statistical anxiety rating scale (STARS). PloS One, 13(3), e0194195. https://doi.org/10.1371/journal.pone.0194195

Cipora, K., Santos, F. H., Kucian, K., & Dowker, A. (2022). Mathematics anxiety—where are we and where shall we go? Annals of the New York Academy of Sciences, 1513(1), 10–20. https://doi.org/10.1111/nyas.14770

Dzulfikar, A. (2021). Pengaruh kecemasan statistika terhadap kemampuan penalaran statistik dalam pembelajaran kolaboratif berbantuan Edmodo. GAUSS: Jurnal Pendidikan Matematika, 4(2), 1–10. https://doi.org/10.30656/gauss.v4i2.3285

Eshet, Y., Steinberger, P., & Grinautsky, K. (2021). Relationship between statistics anxiety and academic dishonesty: A comparison between learning environments in social sciences. Sustainability, 13(3), 1564. https://doi.org/10.3390/su13031564

Firmansyah, M. A. (2017). Analisis hambatan belajar mahasiswa pada mata kuliah statistika. JPPM (Jurnal Penelitian dan Pembelajaran Matematika, 10(2), 1–12. https://doi.org/10.30870/jppm.v10i2.2563

Foley, A. E., Herts, J. B., Borgonovi, F., Guerriero, S., Levine, S. C., & Beilock, S. L. (2017). The math anxiety-performance link: A global phenomenon. Current Directions in Psychological Science, 26(1), 52–58. https://doi.org/10.1177/0963721416672463

Garcia-Melgar, A., East, J., & Meyers, N. (2021). Peer-assisted academic support: A comparison of mentors’ and mentees’ experiences of a drop-in programme. Journal of Further and Higher Education, 45(9), 1163–1176. https://doi.org/10.1080/0309877X.2020.1851665

Iriyadi, D., Asdar, A. K., Afriadi, B., Samad, M. A., & Syaputra, Y. D. (2021). Analysis of the Indonesian version of the statistical anxiety scale instrument with a psychometric approach. International Journal of Evaluation and Research in Education, 13(2), 672–681. https://doi.org/10.11591/ijere.v13i2.26517

Jamil, N. I. B., Rosle, A. N., Baharuddin, F. N., Ibrahim, S. S., & Kasim, S. (2019). Exploring students’ intentions towards game-based learning in statistics. International Journal of Academic Research in Business and Social Sciences, 9(13), 1134–1148. https://doi.org/10.6007/IJARBSS/v9-i13/6255

Jayadi, A., & Anwar, Z. (2018). Pemanfaatan aplikasi SPSS untuk meningkatkan keterampilan mahasiswa mengolah data statistika. Jurnal Visionary: Penelitian dan Pengembangan di Bidang Administrasi Pendidikan, 2(2), 65–74. https://doi.org/10.20527/jv.v2i2.20

Lothes, J. I., Mochrie, K., Wilson, M., & Hakan, R. (2021). The effect of DBT-informed mindfulness skills (what and how skills) and mindfulness-based stress reduction practices on test anxiety in college students: A mixed design study. Current Psychology, 40(6), 2764–2777. https://doi.org/10.1007/s12144-019-00207-y

Kakada, P., Deshpande, Y., & Bisen, S. (2019). Technology support, social support, academic support, service support, and student satisfaction. Journal of Information Technology Education: Research, 18, 549–570. https://doi.org/10.28945/4461

Koparan, T. (2015). 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

Leal, P. C., Goes, T. C., da Silva, L. C. F., & Teixeira-Silva, F. (2017). Trait vs. state anxiety in different threatening situations. Trends in Psychiatry and Psychotherapy, 39, 147–157. https://doi.org/10.1590/2237-6089-2016-0044

Legaki, N.-Z., Xi, N., Hamari, J., Karpouzis, K., & Assimakopoulos, V. (2020). The effect of challenge-based gamification on learning: An experiment in the context of statistics education. International Journal of Human-Computer Studies, 144, 102496. https://doi.org/10.1016/j.ijhcs.2020.102496

Macher, D., Paechter, M., Papousek, I., & Ruggeri, K. (2012). Statistics anxiety, trait anxiety, learning behavior, and academic performance. European Journal of Psychology of Education, 27(4), 483–498. https://doi.org/10.1007/s10212-011-0090-5

Miles, M. B., Huberman, A. M., & Saldaña, J. (2014). Qualitative data analysis: A methods sourcebook and the coding manual for qualitative researchers. Sage Publications Sage CA: Thousand Oaks. https://doi.org/10.1080/095183998236809

Nesbit, R. J., & Bourne, V. J. (2018). Statistics anxiety rating scale (STARS) use in psychology students: A review and analysis with an undergraduate sample. Psychology Teaching Review, 24(2), 101–110. https://doi.org/10.53841/bpsptr.2018.24.2.101

Nurhayati, N., & Novianti, N. (2020). Pengaruh SPSS terhadap hasil belajar pada materi statistika deskriptif. AKSIOMA: Jurnal Program Studi Pendidikan Matematika, 9(1), 101–107. https://doi.org/10.24127/ajpm.v9i1.2770

Onwuegbuzie, A. J., & Wilson, V. A. (2003). Statistics anxiety: Nature, etiology, antecedents, effects, and treatments. Teaching in Higher Education, 8(2), 195–209. https://doi.org/10.1080/1356251032000052447

Paechter, M., Macher, D., Martskvishvili, K., Wimmer, S., & Papousek, I. (2017). Mathematics anxiety and statistics anxiety: Shared but also unshared components and antagonistic contributions to performance in statistics. Frontiers in Psychology, p. 8, 1196. https://doi.org/10.3389/fpsyg.2017.01196

Park, J., & Moghaddam, B. (2017). Impact of anxiety on prefrontal cortex encoding of cognitive flexibility. Neuroscience, 345, 193–202. https://doi.org/10.1016/j.neuroscience.2016.06.015

Pretorius, T., & Norman, A. M. (1992). Psychometric data on the statistics anxiety scale for a sample of South African students. Educational and Psychological Measurement, 52, 933–937. https://doi.org/10.1177/0013164492052004015

Ramadhani, R., & Sribina, N. (2019). Pemanfaatan media pembelajaran SPSS untuk meningkatkan kemampuan statistik siswa SMK. Jurnal Solma, 8(1), 159–170. https://doi.org/10.29405/solma.v8i1.496

Rizki, F., Rr Dian, T., & Nihayati, H. E. (2019). Development of holistic nursing care model for mental disorder patients care in Indonesia. Indian Journal of Public Health Research and Development, 10(8), 1351–1355. https://doi.org/10.5958/0976-5506.2019.02077.5

Saputro, H., & Fazrin, I. (2017). Penurunan tingkat kecemasan anak akibat hospitalisasi dengan penerapan terapi bermain. JKI (Jurnal Konseling Indonesia), 3(1), 9–12. https://doi.org/10.21043/jki.v3i1.2507

Spielberger, C. D. (2022). Anxiety. In Social problems and mental health (pp. 15–19). Routledge. https://doi.org/10.4324/9781315233247

Steinberger, P. (2020). Assessing the statistical anxiety rating scale as applied to prospective teachers in an Israeli teacher-training college. Studies in Educational Evaluation, 64(March), 100829. https://doi.org/10.1016/j.stueduc.2019.100829

Suminta, R. R., & Sayekti, F. P. (2018). Kecemasan statistik ditinjau dari jenis kelamin. Quality, 5(1), 140–154. https://doi.org/10.1234/quality.v5i1.1234

Subedi, D. (2016). Explanatory sequential mixed method design as the third research community of knowledge claim. American Journal of Educational Research, 4(7), 570–577. https://doi.org/10.12691/education-4-7-10

Tenenbaum, H. R., Winstone, N. E., Leman, P. J., & Avery, R. E. (2020). How effective is peer interaction in facilitating learning? A meta-analysis. Journal of Educational Psychology, 112(7), 1303–1319. https://doi.org/10.1037/edu0000436

Tutkun, T. (2019). Statistics anxiety of graduate students. International Journal of Progressive Education, 15(5), 32–41. https://doi.org/10.29329/ijpe.2019.208.3

Wahab, A., Junaedi, J., & Azhar, M. (2021). Learning effectiveness of education statistics using N-Gain improvement test in PGMI. Jurnal Basicedu, 5(2), 1039–1045. https://doi.org/10.31004/basicedu.v5i2.845

Widigda, I. R., & Setyaningrum, W. (2018). Kecemasan mahasiswa pendidikan matematika Universitas Riau Kepulauan dalam menghadapi skripsi. Jurnal Pendidikan Matematika dan Sains, 6(2), 190–199. https://doi.org/10.25273/jpms.v6i2.1231




DOI: https://doi.org/10.20961/ijpte.v8i1.81619

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