Validation of undergraduate science process skills tests: Rasch model analysis

Authors

  • Dian Tauhidah Department of Biology Education, Faculty of Science and Technology, Universitas Islam Negeri Walisongo Semarang
  • Ndzani Latifatur Rofi'ah Department of Biology Education, Faculty of Science and Technology, Universitas Islam Negeri Walisongo Semarang

DOI:

https://doi.org/10.22219/raden.v3i1.24585

Keywords:

higher education, instrument validation, Rasch, science process skills

Abstract

Science process skills are essential skills that students must possess. The science process skills test is needed to facilitate the measurement, so that test instruments are developed. The developed instrument needs to be validated before it is used. The purpose of this study was to validate the science process skills test instrument so that the developed instrument is valid and can be used to measure student abilities. The research was conducted using a quantitative descriptive method. The study population was all biology education students at UIN Walisongo Semarang-Indonesia, with a sample of 75 students selected using a purposive sampling technique. Data were analyzed using Rasch analysis which was divided into several categories, namely map analysis based on the items and research samples, analysis of the suitability of the items, analysis of separation and reliability, and items’ analysis. The results of Rasch's study show that the developed science process skills test for students proves valid. Participating students have fairly even abilities. The results of the validation of the items did not reveal any misconceptions, the questions were on the abilities of the students, and the questions had varying difficulty ranges. The validity of the science process skills test shows that the test instrument can be used to measure students' science process skills. Test instruments can be used as learning evaluation instruments as well as analysis of student problems related to science process skills.

Downloads

Download data is not yet available.

References

Bond, T. G., & Fox, M. C. (2015). Applying the Rasch model fundamental measurement in the human sciences third edition. Routledge.

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

Cohen, M. R. (2018). Reason and nature. Routledge. https://doi.org/10.4324/9780429459344

Crisp, G. T. (2012). Integrative assessment: Reframing assessment practice for current and future learning. Assessment & Evaluation in Higher Education, 37(1), 33–43. https://doi.org/10.1080/02602938.2010.494234

Destin, M., Hanselman, P., Buontempo, J., Tipton, E., & Yeager, D. S. (2019). Do student mindsets differ by socioeconomic status and explain disparities in academic achievement in the United States? AERA Open, 5(3), 233285841985770. https://doi.org/10.1177/2332858419857706

Fisher, W. P. J. (2018). Rasch measurement: Transactions of the Rasch measurement SIG. American Educational Research Association., 21(1), 1087–1096.

Fitriani, L., Ramalis, T. R., & Efendi, R. (2019). Karakterisasi tes keterampilan proses sains materi fluida statis berdasarkan teori respon butir. Omega: Jurnal Fisika Dan Pendidikan Fisika, 5(2), 27-32. https://doi.org/10.31758/OmegaJPhysPhysEduc.v5i2.27

Gow, L., & Kember, D. (1990). Does higher education promote independent learning? Higher Education, 19(3), 307–322. https://doi.org/10.1007/BF00133895

Gravetter, F. J., & Forzano, L.-A. B. (2018). Research methods for the behavioral sciences. Cengage Learning.

Haertel, E. (2013). How is testing supposed to improve schooling? Measurement: Interdisciplinary Research & Perspective, 11(1–2), 1–18. https://doi.org/10.1080/15366367.2013.783752

Hamdu, G., Fuadi, F. N., Yulianto, A., & Akhirani, Y. S. (2020). Items quality analysis using Rasch model to measure elementary school students’ critical thinking skill on STEM learning. JPI (Jurnal Pendidikan Indonesia), 9(1), 61-74. https://doi.org/10.23887/jpi-undiksha.v9i1.20884

Handayani, S. L., & Iba, K. (2020). Karakteristik tes keterampilan proses sains: validitas, reliabilitas, tingkat kesukaran dan daya pembeda soal. Publikasi Pendidikan, 10(2), 100-106. https://doi.org/10.26858/publikan.v10i2.13051

Hockings, C., Thomas, L., Ottaway, J., & Jones, R. (2018). Independent learning – what we do when you’re not there. Teaching in Higher Education, 23(2), 145–161. https://doi.org/10.1080/13562517.2017.1332031

Kumandaş, B., Ateskan, A., & Lane, J. (2019). Misconceptions in biology: A meta-synthesis study of research, 2000–2014. Journal of Biological Education, 53(4), 350–364. https://doi.org/10.1080/00219266.2018.1490798

Lind, K. K. (1998). Science in early childhood: Developing and acquring fundamental concepts and skills. Retrieved from ERIC (ED418777), 85. http://files.eric.ed.gov/fulltext/ED418777.pdf

Mandasari, F., Iwan, I., & Damopolii, I. (2021). The relationship between science process skills and biology learning outcome. Journal of Research in Instructional, 1(1), 23–32. https://doi.org/10.30862/jri.v1i1.9

Moore, M. G., & Diehl, W. C. (Eds.). (2018). Handbook of distance education. Routledge. https://doi.org/10.4324/9781315296135

Nurhayati, Saputri, D. F., & Assegaf, S. L. H. (2019). Pengembangan instrumen tes keterampilan proses sains pada materi fisika untuk siswa sekolah menengah pertama. Edukasi: Jurnal Pendidikan, 17(2), 145-158. https://doi.org/10.31571/edukasi.v17i2.1250

Ozdemir, G., & Dikici, A. (2016). Relationships between scientific process skills and scientific creativity: mediating role of nature of science knowledge. Journal of Education in Science, Environment and Health, 3(1), 52–52. https://doi.org/10.21891/jeseh.275696

Prinz, A., Golke, S., & Wittwer, J. (2019). Refutation texts compensate for detrimental effects of misconceptions on comprehension and metacomprehension accuracy and support transfer. Journal of Educational Psychology, 111(6), 957–981. https://doi.org/10.1037/edu0000329

Sappaile, B. I. (2007). Konsep instrumen penelitian pendidikan. Jurnal Pendidikan Dan Kebudayaan, 13(66), 379–391. https://doi.org/10.24832/jpnk.v13i66.356

Soeharto, S., Csapó, B., Sarimanah, E., Dewi, F. I., & Sabri, T. (2019). A review of students’ common misconceptions in science and their diagnostic assessment tools. Jurnal Pendidikan IPA Indonesia, 8(2), 247-266. https://doi.org/10.15294/jpii.v8i2.18649

Suciono, W. (2021). Berpikir kritis. Penerbit Adab.

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

Tan, O.-S. (2003). Problem-based learning innovation: Using Problems to power learning in the 21st century. Cengage Learning.

Tauhidah, D., & Farikha, Y. (2022). Analisis keterampilan proses sains mahasiswa selama praktikum daring. Jurnal Education and Development Institut Pendidikan Tapanuli Selatan, 10(2), 240–249. https://journal.ipts.ac.id/index.php/ED/article/view/3481

Turiman, P., Omar, J., Daud, A. M., & Osman, K. (2012). Fostering the 21st century skills through scientific literacy and science process skills. Procedia - Social and Behavioral Sciences, 59, 110–116. https://doi.org/10.1016/j.sbspro.2012.09.253

Van der Kleij, F. M., Vermeulen, J. A., Schildkamp, K., & Eggen, T. J. H. M. (2015). Integrating data-based decision making, assessment for learning and diagnostic testing in formative assessment. Assessment in Education: Principles, Policy & Practice, 22(3), 324–343. https://doi.org/10.1080/0969594X.2014.999024

Wang, M.-T., L. Degol, J., Amemiya, J., Parr, A., & Guo, J. (2020). Classroom climate and children’s academic and psychological wellbeing: A systematic review and meta-analysis. Developmental Review, 57, 100912. https://doi.org/10.1016/j.dr.2020.100912

Yan, D., von Davier, A. A., & Lewis, C. (Eds.). (2016). Computerized multistage testing. Chapman and Hall/CRC. https://doi.org/10.1201/b16858

Yildiz, C., & Yildiz, T. G. (2021). Exploring the relationship between creative thinking and scientific process skills of preschool children. Thinking Skills and Creativity, 39, 100795. https://doi.org/10.1016/j.tsc.2021.100795

Zeidan, A. H., & Jayosi, M. R. (2014). Science process skills and attitudes toward science among palestinian secondary school students. World Journal of Education, 5(1), 13-24. https://doi.org/10.5430/wje.v5n1p13

Zydney, J. M., & Warner, Z. (2016). Mobile apps for science learning: Review of research. Computers & Education, 94, 1–17. https://doi.org/10.1016/j.compedu.2015.11.001

Downloads

Published

2023-02-17

How to Cite

Tauhidah, D., & Rofi’ah, N. L. (2023). Validation of undergraduate science process skills tests: Rasch model analysis. Research and Development in Education (RaDEn), 3(1), 51–57. https://doi.org/10.22219/raden.v3i1.24585

Issue

Section

Articles