SYSTEMATIC LITERATURE REVIEW: ANALISIS MODEL RASCH PADA INSTRUMEN SELF-CONFIDENCE MATEMATIKA UNTUK SISWA SMA
DOI:
https://doi.org/10.23969/jp.v11i2.48824Keywords:
mathematics self-confidence, rasch model, systematic literature reviewAbstract
Mathematics self-confidence is an important affective aspect influencing students’ achievement in mathematics learning. However, measuring students’ mathematics self-confidence requires valid and reliable instruments to ensure accurate measurement results. This study aimed to analyze the quality of mathematics self-confidence instruments for senior high school students using the Rasch Model. This research employed the Systematic Literature Review (SLR) method guided by the PRISMA 2020 framework through the stages of identification, screening, eligibility, and inclusion. Article searches were conducted using Google Scholar, Scopus, and ERIC databases with the assistance of Publish or Perish and Mendeley applications. The articles were selected based on inclusion and exclusion criteria with a publication range from 2021-2025. A total of 30 articles met the criteria, consisting of 18 Sinta-indexed journals (Sinta 2-Sinta 4), 7 Scopus-indexed international journals, and 5 ERIC-indexed journals. The research subjects in the selected studies involved senior high school students aged 15-18 years from SMA, MA, and SMK levels. The findings indicated that most instruments had good psychometric quality, with items meeting the Rasch Model fit criteria, high reliability, and satisfactory unidimensionality. However, several studies still identified misfit items and incomplete Differential Item Functioning (DIF) analysis. Therefore, the Rasch Model is recommended for developing more valid and reliable mathematics self-confidence instruments for senior high school students.
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References
Boone, W. J., Staver, J. R., & Yale, M. S. (2014). Rasch analysis in the human sciences. New York: Springer.
Linacre, J. M. (2020). A user’s guide to Winsteps Ministep Rasch-model computer programs. Chicago: Winsteps.com.
NCTM. (2020). Principles to actions: Ensuring mathematical success for all. Reston, VA: National Council of Teachers of Mathematics.
Sumintono, B., & Widhiarso, W. (2015). Aplikasi pemodelan Rasch pada assessment pendidikan. Cimahi: Trim Komunikata.
Ashcraft, M. H., & Moore, A. M. (2021). Mathematics anxiety and the affective domain in mathematics learning. Educational Psychology Review, 33(2), 245-267.
Boone, W. J. (2021). Rasch analysis for instrument development: Why, when, and how? CBE Life Sciences Education, 20(3), 1-7.
Chen, Y., & Zhang, H. (2022). Cross-cultural validation of mathematics self-confidence instruments using Rasch analysis. International Journal of Educational Research, 114, 101987.
Deviana, T., & Hayat, B. (2023). Validation studies using Rasch model in educational assessment. Jurnal Penelitian dan Evaluasi Pendidikan, 27(1), 45-58.
Dewanti, R., Prasetyo, Y., & Nugraha, A. (2025). Development and validation of a self-confidence measurement instrument in mathematics learning using the Rasch model. Jurnal Pendidikan Matematika, 19(1), 15-28.
Dewanti, S. S., Ashabulabib, A., Dewi, I. P., & Islamiyah, A. M. (2025). Development and validation of a self-confidence measurement instrument in mathematics learning using the Rasch model. Mathline: Jurnal Matematika dan Pendidikan Matematika, 10(1), 55-69.
Faradillah, A., & Lutfiyana, R. D. (2025). Evaluation of the difficulty of self-efficacy items in mathematics learning using Rasch model analysis. Supremum Journal of Mathematics Education, 9(2), 120-132.
Fariq, A. (2011). Perkembangan dunia konseling memasuki era globalisasi. Pedagogi, II(November), 255-262.
Hagquist, C., & Andrich, D. (2021). Recent advances in differential item functioning analysis using Rasch measurement theory. Educational Measurement: Issues and Practice, 40(4), 56-67.
Hodgson, J., & Weil, J. (2011). Commentary: How individual and profession-level factors influence discussion of disability in prenatal genetic counseling. Journal of Genetic Counseling, 20(1), 1-3.
Lyznicki, J. M., Young, D. C., Riggs, J. A., Davis, R. M., & Dickinson, B. D. (2001). Obesity: Assessment and management in primary care. American Family Physician, 63(11), 2185-2196.
Mahayani, N. P. L., Astawa, I. W., & Suharta, I. G. P. (2021). Self-regulated learning model affects students’ mathematical conceptual understanding and self-confidence in terms of cognitive styles. Journal of Education Research and Evaluation, 5(1), 1-8.
Mukhibin, A., Rusyid, H. K., Lutfi, A., Herman, T., & Utomo, D. A. S. (2023). An analysis of students’ mathematical self-efficacy instruments using Rasch model. Indonesian Journal of Mathematics Education, 6(2), 72-80.
Nafisah, H., Isnarto, & Wardono. (2021). Analysis of mathematical communication ability in terms of self confidence in schoology assisted Treffinger learning. Unnes Journal of Mathematics Education Research, 10(2), 210-219.
Nindiasari, H., Novaliyosi, & Rosyadi, M. (2023). Pengaruh self-confidence terhadap kemampuan literasi numerasi siswa dalam pembelajaran matematika. Jurnal Didaktik Matematika, 10(2), 120-131.
Nurrahma, F., & Puspitasari, N. (2022). Analisis self-confidence siswa dalam pembelajaran matematika. Jurnal Cendekia: Jurnal Pendidikan Matematika, 6(3), 2785-2794.
Page, M. J., McKenzie, J. E., Bossuyt, P. M., Boutron, I., Hoffmann, T. C., Mulrow, C. D., et al. (2021). The PRISMA 2020 statement: An updated guideline for reporting systematic reviews. BMJ, 372, n71.
Putri, A. E., Rahmawati, D., & Sari, N. (2023). Analisis instrumen self-confidence matematika siswa SMK menggunakan Model Rasch. AKSIOMA: Jurnal Program Studi Pendidikan Matematika, 12(2), 1450-1462.
Putri, F., Haniyah, D., & Rahmawati, W. (2022). Validitas angket self-confidence peserta didik menengah pada pembelajaran matematika. Prosiding Seminar Nasional Pendidikan Matematika Universitas Pattimura, 2(1), 170-183.
Rahayuningdewi, P. D., & Faradillah, A. (2020). How does problem-solving method affect students’ self-confidence and mathematical understanding? Indonesian Journal of Science and Mathematics Education, 3(2), 151-160.
Rahmawati, S., Lestari, D., & Kurniawan, R. (2024). Analisis reliabilitas instrumen afektif matematika menggunakan Model Rasch. Mosharafa: Jurnal Pendidikan Matematika, 13(1), 88-99.
Rahmi, L., Rahayu, W., & Hidajat, F. A. (2025). Analisis penggunaan Rasch model untuk validitas instrumen self efficacy peserta didik dalam pembelajaran matematika. JP2M: Jurnal Pendidikan dan Pembelajaran Matematika, 11(1), 45-58.
Rasch model item response theory (IRT) to analyze the quality of mathematics final semester exam test on system of linear equations in two variables (SLETV). (2021). Al-Jabar: Jurnal Pendidikan Matematika, 12(2), 399-412.
Rosyadi, M., Novaliyosi, & Nindiasari, H. (2024). Numeracy skills and self-confidence from the perspective of Indonesian students: A systematic literature review. Jurnal Absis: Jurnal Pendidikan Matematika dan Matematika, 7(1), 55-67.
Sucahyo, E., Kartono, & Mulyono. (2021). Mathematical understanding and self confidence of elementary school with realistic mathematics education model. Journal of Primary Education, 10(3), 308-322.
Werner, S. M., Chen, Y., & Stieff, M. (2021). Examining psychometric properties using Rasch modeling in educational assessment. Journal of Chemical Education, 98(5), 1720-1728.
Yusuf, M., & Amelia, R. (2023). Analisis kemampuan pemecahan masalah matematis siswa ditinjau dari self-confidence. PRISMA: Jurnal Pendidikan Matematika, 12(1), 45-56.
Zahra, N., & Fitriani, L. (2024). Analisis kemampuan literasi numerasi matematis siswa ditinjau dari self-confidence. Analisa: Journal of Mathematics Education, 9(2), 210-223.
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