Item Analysis of Creative Thinking Skills Using Rasch Modelling  in the Ethnozoology of Traditional Foods

Alif Yanuar Zukmadini; Kasrina Kasrina; Abdul Rahman Singkam; Abas Abas; Ayu Sulistiawati

doi:10.33541/pro-life.v13i1.7899

Authors

Alif Yanuar Zukmadini Program Studi Pendidikan Biologi, Fakultas Keguruan dan Ilmu Pendidikan, Universitas Bengkulu, Kota Bengkulu, Indonesia
Kasrina Kasrina Program Studi Pendidikan Biologi, Fakultas Keguruan dan Ilmu Pendidikan, Universitas Bengkulu, Kota Bengkulu, Indonesia
Abdul Rahman Singkam Program Studi Pendidikan Biologi, Fakultas Keguruan dan Ilmu Pendidikan, Universitas Bengkulu, Kota Bengkulu, Indonesia
Abas Abas Program Studi Pendidikan Biologi, Fakultas Keguruan dan Ilmu Pendidikan, Universitas Bengkulu, Kota Bengkulu, Indonesia
Ayu Sulistiawati Program Studi Pendidikan Biologi, Fakultas Keguruan dan Ilmu Pendidikan, Universitas Bengkulu, Kota Bengkulu, Indonesia

DOI:

https://doi.org/10.33541/pro-life.v13i1.7899

Keywords:

Rasch model, creative thinking skills, ethnozoology, traditional food, prospective biology teachers

Abstract

Prospective biology teachers need creative thinking skills to address biodiversity issues, such as traditional food practices. Measuring these skills requires valid, reliable, and appropriate instruments. This study evaluated a creative thinking skills instrument in traditional food ethnozoology using the Rasch model. Employing a quantitative descriptive method, the instrument contains 15 multiple-choice questions based on six creative thinking indicators: curiosity, fluency, originality, elaboration, imagination, and flexibility. A pilot test involved 45 prospective biology teachers. Data were analyzed with the Winsteps application to assess item difficulty, item fit, bias detection (DIF), and reliability. Results showed item difficulty ranged from ±3.69 logits, with two items rated as difficult and three as easy. Thirteen items fit well, one was borderline, and one required revision. DIF analysis showed no significant gender bias. Item reliability was 0.86 (good), person reliability was 0.63 (poor), and Cronbach's alpha was 0.71 (fair). The instrument meets validity and reliability criteria, but adding more difficult items may improve its discrimination among high-ability respondents. Thus, the instrument can be used to diagnose creative thinking skills specifically related to traditional food ethnozoology in prospective biology teachers, helping to identify areas for further development.

References

Al-Mustafa, A. R., Alimah, U., Sartika, M., Zukmadini, A. Y., Kasrina, K., & Rahman, A. (2025). Etnozoologi makanan tradisional suku Rejang di Desa Tebat Monok dan Air Napal, Provinsi Bengkulu. In Prosiding Seminar Nasional Pendidikan Biologi Universitas Muhammadiyah Malang (Vol. 11, No. 1, pp. 39–52).

Álvarez-Huerta, P., Muela, A., & Larrea, I. (2025). Creative thinking assessment across cultures: Challenges and considerations. The Journal of Creative Behavior, 59(2), e70025.

Alves, R. R. N., Oliveira, T. P. R., & Rosa, I. L. (2013). Wild animals used as food medicine in Brazil. Evidence-Based Complementary and Alternative Medicine, 2013, 670352.

Batchelder, L., Fox, D., Potter, C. M., Peters, M., Jones, K., Forder, J. E., & Fitzpatrick, R. (2020). Rasch analysis of the long-term conditions questionnaire (LTCQ) and development of a short form (LTCQ-8). Health and Quality of Life Outcomes, 18(1), 375.

Boone, W. J., & Staver, J. R. (2020). Advances in Rasch analyses in the human sciences. In Advances in Rasch analyses in the human sciences (pp. 287–302). Springer.

Boone, W. J., Staver, J. R., & Yale, M. S. (2014). Rasch analysis in the human sciences. Springer.

Chan, S. W., Looi, C. K., & Sumintono, B. (2021). Assessing computational thinking abilities among Singapore secondary students: A Rasch model measurement analysis. Journal of Computers in Education, 8(2), 213–236.

Dilekçi, A., & Karatay, H. (2023). The effects of the 21st century skills curriculum on the development of students’ creative thinking skills. Thinking Skills and Creativity, 47, 101229.

Doncean, M., & Doncean, G. (2022). Critical and creative thinking. Journal of Public Administration, Finance and Law, 24, 123–132.

Fisher, W. P., Jr. (2007). Rating scale instrument quality criteria. Rasch Measurement Transactions, 21(1), 1095.

Greenstein, L. (2012). Assessing 21st century skills. Corwin.

Gurak-Ozdemir, S., Acar, S., Puccio, G., & Wright, C. (2019). Why do teachers connect better with some students than others? Exploring the influence of teachers’ creative-thinking preferences. Gifted and Talented International, 34(1–2), 102–115.

Hariohay, K. M., Chagama, J. G., Machumu, A. K., Lyamuya, R. D., Ntalwila, J., & Kideghesho, J. R. (2023). Ethnozoological uses of wild animals among the Iraqw in Northern Tanzania. Tropical Zoology, 36(1–2).

Huang, P. S., Peng, S. L., Chen, H. C., Tseng, L. C., & Hsu, L. C. (2017). The relative influences of domain knowledge and domain-general divergent thinking on scientific creativity and mathematical creativity. Thinking Skills and Creativity, 25, 1–9.

Id-Babou, A., Selmaoui, S., Alami, A., Benjelloun, N., & Zaki, M. (2023). Exploring student representations of biodiversity in science education in Morocco: A didactic perspective. International Journal of Educational Methodology, 9(4), 815–829.

Ismail, I., Riandi, R., Kaniawati, I., Sopandi, W., Soeharto, S., Rochman, S., … Supriyadi, S. (2020). Bridging pedagogy and emerging technologies: A Rasch analysis of technological knowledge integration in green energy education for science teachers. Social Sciences & Humanities Open, 12.

Jumrodah, J., Liliasari, S., Adisendjaja, Y. H., & Sanjaya, Y. (2021). Keterampilan berpikir kreatif mahasiswa calon guru biologi pada konsep biota laut menuju pembangunan berkelanjutan melalui pembelajaran berbasis proyek. Edu Sains: Jurnal Pendidikan Sains dan Matematika, 9(1), 98–106.

Karunarathne, W., & Calma, A. (2024). Assessing creative thinking skills in higher education: Deficits and improvements. Studies in Higher Education, 49(1), 157–177.

Laliyo, L. A. R., Sumintono, B., & Panigoro, C. (2022). Measuring changes in hydrolysis concept of students taught by inquiry model: Stacking and racking analysis techniques in Rasch model. Heliyon, 8(3).

Listiani, I., Utomo, S. W., & Yulitasari, E. (2024). Prospective teachers’ creativity in constructing learning media in project brain-based learning (PjBBL) model. Premiere Educandum: Jurnal Pendidikan Dasar dan Pembelajaran, 14(2), 156–170.

Martinková, P., Drabinová, A., Liaw, Y. L., Sanders, E. A., McFarland, J. L., & Price, R. M. (2017). Checking equity: Why differential item functioning analysis should be a routine part of developing conceptual assessments. CBE—Life Sciences Education, 16(2).

McLure, F., Won, M., & Treagust, D. F. (2024). Science teachers’ understanding of creative thinking and how to foster it as mandated by the Australian curriculum. Journal of Science Teacher Education, 35(5), 524–543.

Medvedev, O. N., & Krägeloh, C. U. (2025). Rasch measurement model. In Handbook of assessment in mindfulness research (pp. 131–147). Springer Nature Switzerland.

Milbank, C., & Vira, B. (2022). Wildmeat consumption and zoonotic spillover: Contextualising disease emergence and policy responses. The Lancet Planetary Health, 6(5), e439–e448.

Piussi, R., Thomeé, R., Samuelsson, K., & Hamrin Senorski, E. (2025). Measurement properties of the Swedish version of the Knee Self-Efficacy Scale: A Rasch analysis. Journal of Experimental Orthopaedics, 12(2), e70306.

Rachmawati, I., Feranie, S., Sinaga, P., & Saepuzaman, D. (2018). Penerapan pembelajaran berbasis proyek untuk meningkatkan keterampilan berpikir kreatif ilmiah dan berpikir kritis ilmiah siswa SMA pada materi kesetimbangan benda tegar. WaPFi (Wahana Pendidikan Fisika), 3(2), 25–30.

Robitzsch, A. (2025). Comparing weighted RMSD, weighted MD, infit, and outfit item fit statistics under uniform differential item functioning. Mathematics, 13(23), 3752.

Rusnayati, H., Oktavianti, N., Novia, H., Saepuzaman, D., & Feranie, S. (2019). Analyzing students responses to construct open-ended question to assess scientific creative and critical thinking (SCCT-test) related to hydrostatic pressure. Journal of Physics: Conference Series, 1204(1), 012049.

Schmidt-McCormack, J. A., Fish, C., Falke, A., Lantz, J., & Cole, R. S. (2019). Assessment of process skills in analytical chemistry student responses to open-ended exam questions. Journal of Chemical Education, 96(8), 1578–1590.

Septiani, A., & Silalahi, M. (2024). Studi etnobiologi makanan tradisional Garang Asem di Desa Dimoro, Kabupaten Grobogan, Jawa Tengah. Pro-Life, 11(1), 44–55.

Shively, K., Stith, K. M., & Rubenstein, L. D. (2018). Measuring what matters: Assessing creativity, critical thinking, and the design process. Gifted Child Today, 41(3), 149–158.

Sihotang, B., & Bakar, A. (2023). Pengembangan instrumen tes kemampuan berpikir kreatif pada materi suhu dan kalor di kelas XI SMA. Jurnal Inovasi Pembelajaran Fisika (INPAFI), 11(4), 14–22.

Suherman, S., & Vidákovich, T. (2022). Assessment of mathematical creative thinking: A systematic review. Thinking Skills and Creativity, 44, 101019.

Sumintono, B., & Widhiarso, W. (2015). Aplikasi pemodelan Rasch pada assessment pendidikan. Trim Komunikata.

Syaputra, W. A., Andini, R. A., Qorisah, D., Zukmadini, A. Y., Kasrina, K., & Abas, A. (2025). Studi etnozoologi pada makanan tradisional khas suku Lembak di Kota Bengkulu dan Kabupaten Bengkulu Tengah. In Prosiding Seminar Nasional Pendidikan Biologi (Vol. 11, No. 1, pp. 223–243).

Yu, C. H. (2020). Objective measurement: How Rasch modeling can simplify and enhance your assessment. In Rasch measurement: Applications in quantitative educational research (pp. 47–73). Springer.

Zukmadini, A. Y., Rohman, F., Dharmawan, A., Sari, M. S., Rochman, S., & Razak, S. A. (2024). Potential biodiversity from ethnozoology of Enggano Island: Utilization, quantitative analysis, list of animals conserved by local people, and application of research findings empowering species literacy in biology student teachers. Indonesian Journal of Science and Technology, 9(2), 463–496.