Validating with a Rasch Models for Mathematics Creative Thinking and Learning Motivation Students’
Sari
This study aimed to validate a mathematical creative thinking instrument and a learning motivation questionnaire using the Rasch Measurement Model. A quantitative survey was conducted involving 286 junior high school students’ in East Jakarta, Indonesia. Data were analyzed using Rasch analysis to examine reliability, person responses, and differential item functioning (DIF). The results showed excellent item reliability (0.99) for both instruments, indicating stable item calibration. Wright Maps analysis revealed that most students’ demonstrated moderate levels of mathematical creative thinking and learning motivation. However, the mathematical creative thinking instrument exhibited a substantial targeting gap, resulting in relatively low person reliability. Furthermore, DIF analysis identified several items with potential demographic bias. Overall, the findings provide psychometric evidence supporting the refinement of the mathematical creative thinking instrument and the learning motivation questionnaire to improve measurement precision, fairness, and their applicability in mathematics education.
Teks Lengkap:
PDFReferensi
Alifa, N., Refiyanti, D., Ardiansyah, L., Faradillah, A., & Miatun, A. (2021). Kemampuan Berpikir Kreatif Siswa dalam Menyelesaikan Soal Matematika Ditinjau Dari Keaktifan Belajarnya di Sekolah. 2, 129–138.
Alyani, F., & Hadi, W. (2026). A Rasch-based regression analysis of predictive relationships among mathematics motivation constructs. 12(January), 294–307.
Arias, V. B., & Aguayo, V. (2021). Validity of DSM-5 Oppositional Defiant Disorder Symptoms in Children with Intellectual Disability. 1–10.
Chan, M., & Subramaniam, R. (2020). This is a p re print o f the chapter “ Validation of a Science Concept Inventory by Rasch A nalysis ” published in Rasch Measurement : Applications in Quantitative Publisher ’ s version can be found at : 1989, 1–19.
Dwi, R., & Faradillah, A. (2025). Evaluation of the Difficulty of Self-Efficacy Items in Mathematics Learning Using Rasch Model Analysis. 09(02), 357–369. https://doi.org/10.35706/sjme.v9i2.200
Ekstrand, J., Westergren, A., Årestedt, K., Hellström, A., & Hagell, P. (2022). Transformation of Rasch model logits for enhanced interpretability. BMC Medical Research Methodology, 1–10. https://doi.org/10.1186/s12874-022-01816-1
Faradillah, A., & Maulida, A. (2022). Students ’ creative thinking ability assisted augmented reality based on visualizer-verbalizer cognitive style. 8(June), 659–674.
Febryana, U. I., Rahmania, F., Faradillah, A., & Jusra, H. (2024). Evaluation of Validity and Reliability Using Rasch Model and SPSS on Students ’ Mathematical Creative Thinking Ability. 5(1), 1–10.
Fineldi, R. J., & Hidayati, K. (2023). Students ’ difficulties : Mathematical creative thinking skill questions based on habits of mind. 9(1), 16–29.
Goodfellow, L. T. (2023). An Overview of Survey Research. 1309–1313. https://doi.org/10.4187/respcare.11041
Hilmi, I., Fadlila, N., Ramadanti, E., Retnawati, H., & Arliani, E. (2022). Development of Higher Order Thinking Skills Test based on Revised Bloom Taxonomy. 6(2), 341–353.
Humphry, S., & Montuoro, P. (2021). The Rasch Model Cannot Reveal Systematic Differential Item Functioning in Single Tests : Subset DIF Analysis as an Alternative Methodology. 6(November), 1–12. https://doi.org/10.3389/feduc.2021.742560
Loh, S. L., Jamil, N. A., & Ng, K. T. (2022). Establishing the Validity and Reliability of a Program Evaluation Questionnaire using Rasch Measurement Model. 14(2).
Mila, A., Dindin, A., & Rosarina, G. (2021). Pengembangan Instrumen Penilaian Kreativitas Siswa melalui Analisis Rasch Model di Sekolah Dasar. 5(4), 2302–2310. https://doi.org/https://doi.org/10.31004/basicedu.v5i4.1199 ISSN
Mulbar, U., Zaki, A., & Farhan, M. (2026). STUDENTS ’ STRATEGIES AND CREATIVITY IN SOLVING MATHEMATICAL LITERACY PROBLEMS. 11(2), 469–490.
Mulyono, H. (2023). The School Teachers ’ Creativity and Self -efficacy in Writing an Academic Text : A Rasch-Based Survey Analysis. 19(1), 1–12.
Mumpuni, K. E., Begimbetova, G. A., & Retnawati, H. (2023). Self-regulated Learning Questionnaire : Differential Item Functioning ( DIF ) and Calibration using Rasch Model Analysis. 35(1), 65–80. https://doi.org/10.23917/varidika.v1i1.22995
Ningsih, S. K., Mulyono, H., Rahmah, R. A., & Aprilia, N. (2021). A Rasch-based validation of EFL teachers ’ received online social support scale A Rasch-based validation of EFL teachers ’ received online social support scale. Cogent Education, 8(1). https://doi.org/10.1080/2331186X.2021.1957529
Nurkarim, A. W., Qonita, W., & Monterroza, D. (2023). T he students ’ mathematics motivation scale : a measure of intrinsic , extrinsic , and perceptions of mathematics. 6(1), 1–9. https://doi.org/10.18860/ijtlm.v601.2023
Qirom, M. S., & Nurlaelah, E. (2023). Rasch Model : Analyzing the Items Quality of Mathematics Higher- Order Thinking Skill Instrument.
Romdlon, N., Adi, M., Amaruddin, H., Maulana, H., Adi, M., & A, L. Q. (2022). Validity and Reliability Analysis Using the Rasch Model to Measure the Quality of Mathematics Test Items of Vocational High Schools. 11(117).
Sabirin, M., Hidayatullah, A., Saputri, R. A., & Atsnan, M. F. (2022). MASTER ( Motivating , Acquiring , Searching , Triggering , Exhibiting , Reflecting ) learning model in terms of literacy ability and students ’ mathematics learning motivation. 9(2), 1–11.
Salamah, S., Ginting, B., Armanto, D., Amry, Z., Dewi, I., & Napitupulu, E. (2025). JEP ( Jurnal Eksakta Pendidikan ) Factors Affecting Mathematical Creative Thinking Ability : A Systematic Review and Multidimensional Perspective. 9(1), 18–33.
Sari, R. R., Sugiharto, B., & Widoretno, S. (2022). Instrument Analysis of Biology Teachers ’ Needs to Assess Students ’ Creative Thinking Skills Using RASCH Model. 7(2), 241–258. https://doi.org/10.24042/tadris.v7i2.13265
Septiyanto, A., Prima, E. C., Rusyati, L., Lutianasari, L., & Setiawan, A. (2024). Application of Rasch Model for Validating Creative Thinking Test on Solar Cell Material. 6(229).
Shobichah. (2025). The Role of Learning Motivation in Students ’ Academic Achievement. 5(3), 1–11.
Sipahi, Y., & Bahar, A. K. (2025). Mathematical Creativity : A Systematic Review of Definitions , Frameworks , and Assessment Practices. 2021.
Solehah, P., & Mutaqin, A. (2026). Analisis Model Rasch pada Instrumen Motivasi Belajar Matematika untuk Siswa SMP. 10(June 2025), 598–613.
Tennant, A., & Küçükdeveci, A. A. (2023). Application of the Rasch measurement model in rehabilitation research and practice: early developments, current practice, and future challenges. July. https://doi.org/10.3389/fresc.2023.1208670
Wang, L. (2022). Student Intrinsic Motivation for Online Creative Idea Generation : Mediating Effects of Student Online Learning Engagement and Moderating Effects of Teacher Emotional Support Student Intrinsic Motivation and Online. 13(July), 1–8. https://doi.org/10.3389/fpsyg.2022.954216
Wicaksono, D. A. (2021). Internal Validation of the Warwick-Edinburgh Mental Wellbeing Scale : Rasch Analysis in the Indonesian Context. 10(2), 229–248.
Yusfiah, K., Zakiyah, S., Faradillah, A., & Jusra, H. (2024). Analysis of the Rasch Model : Validity of Students ’ Mathematical Creative Thinking Ability on Quadratic Function Material. 5(1), 49–56.
Refbacks
- Saat ini tidak ada refbacks.