The Use of The Rasch Model to Develop Students' Conception of Chemistry Learning Instruments During the Covid-19 Pandemic

Authors

  • Ifan Rivaldo Universitas Negeri Yogyakarta
  • Hari Sutrisno Universitas Negeri Yogyakarta
  • Alusti Cundo Manik Universitas Negeri Yogyakarta

DOI:

https://doi.org/10.23887/jpk.v6i1.45338

Keywords:

Konsepsi Belajar, Pembelajaran Kimia, Model Rasch, Pandemi Covid-19

Abstract

Perbedaan konsepsi belajar tergantung pada pengalaman belajar kimia yang dirasakan peserta didik. Perbedaan ini semakin tampak ketika peserta didik harus menjalani pembelajaran jarak jauh dikarenakan pandemi. Untuk mengukur perbedaan tersebut, instrumen konsepsi belajar kimia yang terdiri dari 24 item dengan skala likert dikembangkan dan divalidasi oleh para ahli secara konstruk serta secara empiris dengan menerapkan analisis model Rasch menggunakan software WINSTEPS® (versi 3.73). Tujuan penelitian ini yaitu mengembangkan instrumen konsepsi belajar yang spesifik mengukur konsepsi belajar kimia. Jenis penelitian ini yaitu pengembangan. Populasi penelitian ini sejumlah 247 siswa sekolah menengah atas. Metode yang digunakan untuk mengumpulkan data yaitu survei. Instrument yang digunakan untuk mengumpulkan data yaitu kuesioner. Kualitas psikometrik kuesioner yang dianalisis meliputi reliabilitas, statistik kesesuaian item, penggunaan skala penilaian, dan bias item terhadap gender (Differential Item Functioning (DIF)).  Teknik yang digunakan untuk menganalisis data yaitu analisis deskriptif kualitatif dan kuantitatif.  Hasil penelitian menunjukkan bahwa model Rasch cocok dengan data pengukuran meliputi reliabilitas person dan item (>0,8). Sembilan belas item memenuhi nilai penerimaan untuk statistik kesesuaian item. Selain itu, kategori pada skala berfungsi dengan baik dan bebas dari ketidakteraturan dari nilai Andrich-Threshold. 2 dari 4 item bias gender kemudian dipertahankan dengan merevisi kuesioner. Disimpulkan bahwa instrumen valid dan dapat digunakan untuk mengukur konsepsi belajar kimia.

References

Allen, M. J., & Yen, W. M (Eds.). 2001. Introduction to measurement theory. USA: Waveland Press. https://books.google.co.id/books/about/Introduction_to_Measurement_Theory.html?id=MNUpY_csc6cC&redir_esc=y

Andrich, D. 1988. Rasch models for measurement. Beverly Hills: Sage Publications, Inc. https://dx.doi.org/10.4135/9781412985598 DOI: https://doi.org/10.4135/9781412985598

Ardura, D. and Pérez-Bitrián A. 2018. The effect of motivation on the choice of chemistry in secondary schools: adaptation and validation of the science motivation questionnaire ii to spanish students. Chem. Educ. Res. Pract., 19(3), 905–918. https://doi.org/10.1039/C8RP00098K DOI: https://doi.org/10.1039/C8RP00098K

Assanovich, M. A. (Ed.). 2012. Clinical psychodiagnostics. Minsk: “Belarus”.

Borsboom, D. 2006. When does measurement invariance matter?. Medical Care. 44. S176-81. https://doi.org/10.1097/01.mlr.0000245143.08679.cc DOI: https://doi.org/10.1097/01.mlr.0000245143.08679.cc

Brady, J. E. 2012. Chemistry: the molecular nature of matter. New York: John Wiley & Sons, Inc

Bond, T. G., Yan, Z., & Heene, M. (2020). Applying the Rasch Model (4th ed.). London: DOI: https://doi.org/10.4324/9780429030499

Routledge.

Bui, T. L. T., Kazarenkov, V. I., & Tran, V. D. 2020. Application of rasch model to develop a questionnaire for evaluating the quality of teaching for students’ creativity development. International Journal of Learning, Teaching and Educational Research, 19(8), 278-296, https://doi.org/10.26803/ijlter.19.8.15 DOI: https://doi.org/10.26803/ijlter.19.8.15

Churiyah, M., Sholikhan, S., Filianti, F., & Sakdiyyah, D. A. 2020. Indonesia education readiness conducting distance learning in covid-19 pandemic situation. International Journal of Multicultural and Multireligious Understanding, 7(6), 491. https://doi.org/10.18415/ijmmu.v7i6.1833 DOI: https://doi.org/10.18415/ijmmu.v7i6.1833

Chyung, S.Y., Barkin J.R., & Shamsy, J.A. 2018. Evidence‐based survey design: the use of negatively worded items in surveys. Performance Improvement, 57(3), 16-25. http://doi.org/10.1002/pfi.21749 DOI: https://doi.org/10.1002/pfi.21749

CNN Indonesia. 2020. Sekolah libur karena corona, kpai sebut guru buat siswa stres. https://www.cnnindonesia.com/nasional/20200318222319-20-484760/sekolah-libur-karena-coronakpai-sebut-guru-buat-siswa-stres

Colosi, R. 2005. Negatively worded questions cause respondent confusion. Proceedings of the Survey Research Methods Section. American Statistical Association, 2896-2903. 35(1), 113-130. https:// doi.org/10.1.1.556.243

Entwistle, N. J., & Peterson, E. R. 2004. Conceptions of learning and knowledge in higher education: relationships with study behaviour and influences of learning environments. International Journal of Educational Research, 41(6), 407-428. http://doi.org/10.1016/j.ijer.2005.08.009 DOI: https://doi.org/10.1016/j.ijer.2005.08.009

Fisher, W. P. Jr. 2007. Rating scale instrument quality criteria. Rasch measurement transactions, 21(1) p. 1095. http://www.rasch.org/rmt/rmt211a.htm

Hagquist, C. & Andrich, D. 2004. Is the sense of coherence-instrument applicable on adolescents? a latent trait analysis using rasch modelling. Personality and Individual Differences, 36, 955-968. https://doi.org/10.1016/S0191-8869(03)00164-8 DOI: https://doi.org/10.1016/S0191-8869(03)00164-8

Holland, P.W., & Wainer, H. (Eds.). 1993. Differential item functioning (1st ed.). Routledge. https://doi.org/10.4324/9780203357811 DOI: https://doi.org/10.4324/9780203357811

Kemendikbud. 2020. Kemendikbud terbitkan pedoman penyelenggaraan belajar dari rumah. https://www.kemdikbud.go.id/main/blog/2020/05/kemendikbud-terbitkan-pedoman-penyelenggaraanbelajar-dari-rumah

Lee, M. H., Johanson, R. E., & Tsai, C. C. 2008. Exploring Taiwanese high school students’ conceptions of and approaches to learning science through a structural equation modeling analysis. Science Education, 92(2), 191–220. https://doi.org/10.1002/sce.20245 DOI: https://doi.org/10.1002/sce.20245

Linacre, J. M. 1999. Investigating rating scale category utility. Journal of Outcome Measurement, 3, 103-122. https://pubmed.ncbi.nlm.nih.gov/10204322/

Linacre, J. M. 2009a. A user’s guide to winsteps. Chicago, IL: Winsteps.

Marshall, D., Summer, M., & Woolnough, B. 1999. Students’ conceptions of learning in an engineering context. Higher Education, 38, 291–309. https://doi.org/10.1023/A:1003866607873 DOI: https://doi.org/10.1023/A:1003866607873

Marton, F. M., Dall’ Alba, G., & Beaty, E. 1993. Conceptions of learning. International Journal of Educational Research, 19(3), 277–300. https://espace.library.uq.edu.au/view/UQ:268a0ef

Merritt, S.M. 2012. The two-factor solution to allen and meyer’s (1990) affective commitment scale: effects of negatively worded items. Journal of Business and Psychology, 27(4), 421-436. https://doi.org/10.1007/s10869-011-9252-3 DOI: https://doi.org/10.1007/s10869-011-9252-3

Meyer, J. (Ed.). 2014. Applied measurement with jmetrik. New York: Routledge DOI: https://doi.org/10.4324/9780203115190

Podsakoff, P.M., MacKenzie, S.B., Lee, J.Y., & Podsakoff, N.P. 2003. Common method biases in behavioral research: A critical review of the literature and recommended remedies. Journal of Applied Psychology, 88(5), 879-903. https://doi.org/10.1037/0021-9010.88.5.879 DOI: https://doi.org/10.1037/0021-9010.88.5.879

Pruski, L. A., Blanco, S. L., Riggs, R. A, Grimes, K. K., Fordtran, C. W., Barbola, C. M., Cornell, J. E., & Lichtenstein, M. J. 2013. Construct validation of the self-efficacy teaching and knowledge instrument for science teachers-revised (SETAKIST-R): lessons learned. Journal of Science Teacher Education, 24(7), 1133-1156. https://doi.org/10.1007/s10972-013-9351-2 DOI: https://doi.org/10.1007/s10972-013-9351-2

Rachmatullah, A., Diana, S., & Ha, M. 2018. Identifying Indonesian upper-secondary school students’ orientations to learn science and gender effect through the use of structural equation modeling. Journal of Baltic Science Education, 17(4), 633–648. https://doi.org/10.33225/jbse/18.17.633 DOI: https://doi.org/10.33225/jbse/18.17.633

Refriwati. 2015. Improvement students’ learning motivation using problem–based learning approach on chemistry topic of tsm grade 11 smkn 1 bukit sundi kabupaten solok. Jurnal Education, Jurnal Pendidikan Indonesia, 1(1), 36-42. https://doi.org/10.29210/1201525

Richardson, J. T. E. 1999. The conceptions and methods of phenomenographic research. Review of Educational Research, 69(1), 53–82. https://doi.org/10.3102/00346543069001053 DOI: https://doi.org/10.3102/00346543069001053

Rosli, R., Abdullah, M., Siregar, N. C., Shazana, N., Hamid, A., Abdullah, S., Halim, L., Daud, N. M., Bahari, S. A., Majid, R. A., & Bais, B. 2020. Student awareness of space science : rasch model analysis for validity and reliability. 10(3), 170–177. https://doi.org/10.5430/wje.v10n3p170 DOI: https://doi.org/10.5430/wje.v10n3p170

Roszkowski, M.J., & Soven, M. 2010. Shifting gears: Consequences of including two negatively worded items in the middle of a positively worded questionnaire. Assessment & Evaluation in Higher Education, 35(1), 113-130. https://doi.org/10.1080/02602930802618344 DOI: https://doi.org/10.1080/02602930802618344

Säljö, R. 1979. Learning in the learner’s perspective. I: Some commonsense conceptions (Report No. 76). Gothenburg, Sweden: University of Gothenburg.

Sari, D. R, Sekarwana, N., Hinduan, Z. R., & Sumintono, B. 2016. Analisis tingkat kepuasan masyarakat terhadap dimensi kualitas pelayanan tenaga pelaksana eliminasi menggunakan pemodelan rasch. Jurnal Sistem Kesehatan, 2(1), 47-55. https://doi.org/10.24198/jsk.v2i1.10419 DOI: https://doi.org/10.24198/jsk.v2i1.10419

Soltani, A. & Askarizadeh, G. 2021. How students’ conceptions of learning science are related to their

motivational beliefs and self-regulation. Learning and Motivation, 73(101707). https://doi.org/10.1016/j.lmot.2021.101707 DOI: https://doi.org/10.1016/j.lmot.2021.101707

Sonderen, V., Sanderman, R., & & Coyne, J.C. 2013. Ineffectiveness of reverse wording of questionnaire items: let’s learn from cows in the rain. PloS one, 8(7). https://doi.org/10.1371/journal.pone.0068967 DOI: https://doi.org/10.1371/journal.pone.0068967

Spinou, A., Siegert, R. J., Guan, W., Patel, A. S., Gosker, H. R., Lee, K. K., Elston, C., Loebinger, M. R., Wilson, R., Garrod, R., & Birring, S. S. 2017. The development and validation of the bronchiectasis health questionnaire. Eur Respir J, 49(5): 1601532. http://dx.doi.org/10.1183/13993003.01532-2016 DOI: https://doi.org/10.1183/13993003.01532-2016

Sumintono, B. & Widhiarso, W. 2015. Aplikasi pemodelan rasch pada assessment pendidikan. Cimahi: Trim Komunikata. https://www.researchgate.net/publication/282673464_Aplikasi_Pemodelan_Rasch_pada_Assessment_Pendidikan

Tabatabaee-Yazdi, M., Motallebzadeh, K., Ashraf, H., & Baghei, P. 2018. Development and validation of a teacher success questionnaire using the rasch model. International Journal of Instruction, 11(2), 129-144, https://doi.org/10.12973/iji.2018.11210a DOI: https://doi.org/10.12973/iji.2018.11210a

Tsai, C. C. 2004. Conceptions of learning science among high school students in taiwan: a phenomenographic analysis. International Journal of Science Education, 26(14), 1733–1750. https://doi.org/10.1080/0950069042000230776 DOI: https://doi.org/10.1080/0950069042000230776

Tsai, C.-C., Ho, H.-N. J., Liang, J.-C., & Lin, H.-M. 2011. Scientifc epistemic beliefs, conceptions of learning science and self-effcacy of learning science among high

school students. Learning and Instruction, 21, 757–769. https://doi.org/10.1016/j.learninstruc.2011.05.002 DOI: https://doi.org/10.1016/j.learninstruc.2011.05.002

UNESCO. 2020. COVID-19 educational disruption and response. https://en.unesco.org/themes/education-emergencies/coronavirus-school-closures

Vanzile-Tamsen, C. 2017. Using rasch analysis to inform rating scale development. Research in Higher Education, 58(8), 922-933. http://doi.org/10.1007/s11162-017-9448-0 DOI: https://doi.org/10.1007/s11162-017-9448-0

Weijters, B., & Baumgartner, H. 2012. Misresponse to reversed and negated items in surveys: A review. Journal of Marketing Research, 49(5), 737-747. https://doi.org/10.1509/jmr.11.0368 DOI: https://doi.org/10.1509/jmr.11.0368

Widyaningsih, S. W., & Yusuf, I. 2018. Analisis soal modul laboratorium fisika sekolah i menggunakan racsh model. Gravity: Jurnal Ilmiah Penelitian dan Pembelajaran Fisika, 4(1), 33-46. http://dx.doi.org/10.30870/gravity.v4i1.3116 DOI: https://doi.org/10.30870/gravity.v4i1.3116

Zammiluni, Ulianas, A. & Mawardi. 2018. Development of guided inquiry based work sheet with class and laboratory activity on chemical bonding topic in senior high school. International Journal of Chemistry Education Research, 2(2). https://doi.org/10.20885/ijcer.vol2.iss2.art1 DOI: https://doi.org/10.20885/ijcer.vol2.iss2.art1

Zheng, L., Dong, Y., Huang, R., Chang, C. Y., & Bhagat, K. K. 2018. Investigating the interrelationships among COLS, ALS, and self-efficacy in learning science. International Journal of Science Education, 40(2), 139–158. https://doi.org/10.1080/09500693.2017.1402142 DOI: https://doi.org/10.1080/09500693.2017.1402142

Zwick, R. 2012 A review of ets differential item functioning assessment procedures: flagging

rules, minimum sample size requirements, and criterion refinement. ETS Research Report

Series. http://doi.org/10.1002/j.2333-8504.2012.tb02290.x DOI: https://doi.org/10.1002/j.2333-8504.2012.tb02290.x

Downloads

Published

2022-05-26

How to Cite

Rivaldo, I., Sutrisno, H., & Manik, A. C. (2022). The Use of The Rasch Model to Develop Students’ Conception of Chemistry Learning Instruments During the Covid-19 Pandemic . Jurnal Pendidikan Kimia Indonesia, 6(1), 20–29. https://doi.org/10.23887/jpk.v6i1.45338

Issue

Section

Articles