Item analysis: basic concepts of physics students in geometric optics

Godelfridus Hadung Lamanepa, Rosenti Pasaribu, Claudia M.M. Maing

Abstract


The purpose of this study was to analyze students' items and abilities—the analysis for mapping test instruments and students' basic concepts regarding optics subjects before lectures are held. The test participants were 35 physics students. The analysis model of item response theory is a one-parameter logistic model or Rasch Model with the scope of analysis of the level of item difficulty, student ability, and statements that fit the item response model. Analysis of item responses and student responses carried out using Winstep version 3.73 software. The results of the qualitative analysis of the test items consisted of memory (C1) analysis (C4). The quantitative analysis using the Rasch model showed that 35% of the total items were difficult category items. For the suitability of test items in the instrument by 85% of items fit or generally function in measurement, more than 57% of students have the geometric optical ability in logit values of 0 to 1. The results of item analysis and student ability become information for teachers to design courses such as method selection, project implementation strategies, and assessments are undertaken.

 


Keywords


Basic concepts; geometry optics; item response theory

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References


Alifa, T. F., & Ramalis, T. R. (2018). Karakteristik Tes Penalaran Ilmiah Siswa. Jurnal Inovasi Dan Pembelajaran Fisika, ISSN: 2355-7109.

Astuti, S. P. (2015). Pengaruh Kemampuan Awal dan Minat Belajar terhadap Prestasi Belajar Fisika. Formatif: Jurnal Ilmiah Pendidikan MIPA, 5(1), 68–75. https://doi.org/10.30998/formatif.v5i1.167

Barlian, I. (2013). Pentingkah Strategi Belajar Mengajar. Jurnal Forum Sosial, 6(1), 1–6.

Bond, T. G., & Fox, C. M. (2003). Applying the Rasch Model: Fundamental Measurement in the Human Sciences. In Journal of Educational Measurement (Vol. 40, Issue 2). https://doi.org/10.1111/j.1745-3984.2003.tb01103.x

Boone, W. J., Yale, M. S., & Staver, J. R. (2014). Rasch analysis in the human sciences. In Rasch Analysis in the Human Sciences. https://doi.org/10.1007/978-94-007-6857-4

Cardamone, C. N., Abbott, J. E., Rayyan, S., Seaton, D. T., Pawl, A., & Pritchard, D. E. (2012). Item response theory analysis of the mechanics baseline test. AIP Conference Proceedings, 1413, 135–138. https://doi.org/10.1063/1.3680012

Erguven, M. (2013). Two approaches in psychometric process: Classical test theory & item response theory. Journal of Education, 2(2), 23–30.

Hambleton, R. K., & Jones, R. W. (1968). Comparison of Classical Test Theory and Item Response Theory and Their Applications to Test Development. Instructional Topics in Educational Measurement, 38–47.

Han, J., Bao, L., Chen, L., Cai, T., Pi, Y., Zhou, S., Tu, Y., & Koenig, K. (2015). Dividing the force concept inventory into two equivalent half-length tests. Physical Review Special Topics - Physics Education Research, 11(1), 1–9. https://doi.org/10.1103/PhysRevSTPER.11.010112

Lai, Hollis & Gierl, Mark J & Cui, Y. (2012). Item Consistency Index : An Item-Fit Index for Cognitive Diagnostic Assessment Hollis Lai Centre for Research in Applied Measurement and Evaluation University of Alberta Paper Presented at the Session “ Cognitive Diagnostic Assessment : Technical Advances. 1, 1–32.

Lestari, W. (2017). Pengaruh Kemampuan Awal Matematika dan Motivasi Belajar terhadap Hasil Belajar Matematika. Jurnal Analisa, 3(1), 76. https://doi.org/10.15575/ja.v3i1.1499

Mardapi, D. (2003). konstruksi-tes. Konstruksi Tes Dan Analisis Butir, 8. http://staff.uny.ac.id/sites/default/files/lain-lain/prof-djemari-mardapi-mpdphd/konstruksi-tes.doc

Maydeu-Olivares, A. (2013). Goodness-of-Fit Assessment of Item Response Theory Models. Measurement, 11(3), 71–101. https://doi.org/10.1080/15366367.2013.831680

Moutinho, L., Hutcheson, G., & Sofroniou, N. (2014). Item Response Theory. The SAGE Dictionary of Quantitative Management Research, 150–152. https://doi.org/10.4135/9781446251119.n46

O. A., A., & E. R. I., A. (2016). Comparative Analysis of Classical Test Theory and Item Response Theory Based Item Parameter Estimates of Senior School Certificate Mathematics Examination. European Scientific Journal, ESJ, 12(28), 263. https://doi.org/10.19044/esj.2016.v12n28p263

Razak, F. (2018). Hubungan Kemampuan Awal Terhadap Kemampuan Berpikir Kritis Matematika Pada Siswa Kelas Vii Smp Pesantren Immim Putri Minasatene. Mosharafa: Jurnal Pendidikan Matematika, 6(1), 117–128. https://doi.org/10.31980/mosharafa.v6i1.299

Rusilowati, A. (2015). Prosiding Seminar Nasional Fisika dan Pendidikan Fisika (SNFPF) Ke-6 2015 1. Prosiding Seminar Nasional Fisika Dan Pendidikan Fisika, 6, 1–10.

Simonsmeier, B. A. (2018). Domain-specific prior knowledge and learning: A meta-analysis. 7.

Sumintono, Bambang & Widhiarso, W. (2015). Aplikasi Pemodelan Rasch pada Asesmen Pendidikan. In D. Binikna (Ed.), Konferensi Guru dan Dosen Nasional (KGDN) 2015 (I, Issue November). Trim Komunikata.

Susac, A., Planinic, M., Klemencic, D., & Milin Sipus, Z. (2018). Using the Rasch model to analyze the test of understanding of vectors. Physical Review Physics Education Research, 14(2), 23101. https://doi.org/10.1103/PhysRevPhysEducRes.14.023101

Taub, M., Azevedo, R., Bouchet, F., & Khosravifar, B. (2014). Can the use of cognitive and metacognitive self-regulated learning strategies be predicted by learners’ levels of prior knowledge in hypermedia-learning environments? Computers in Human Behavior, 39, 356–367. https://doi.org/10.1016/j.chb.2014.07.018

Wallace, C. S., Chambers, T. G., & Prather, E. E. (2018). Item response theory evaluation of the Light and Spectroscopy Concept Inventory national data set. Physical Review Physics Education Research, 14(1), 10149. https://doi.org/10.1103/PhysRevPhysEducRes.14.010149

Williams, J. J., & Lombrozo, T. (2013). Explanation and prior knowledge interact to guide learning. Cognitive Psychology, 66(1), 55–84. https://doi.org/10.1016/j.cogpsych.2012.09.002

Williamson, K. E. (2013). Development and calibration of a concept inventory to measure introductory college astronomy and physics students’ understanding of Newtonian gravity. ProQuest Dissertations and Theses, November, 319. http://ezphost.dur.ac.uk/login?url=https://search.proquest.com/docview/1496774510?accountid=14533%0Ahttp://openurl.ac.uk/ukfed:dur.ac.uk?genre=dissertations+%26+theses&issn=&title=Development+and+calibration+of+a+concept+inventory+to+measure+introductory+




DOI: http://dx.doi.org/10.30870/gravity.v6i2.8506

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