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Jurnal Penelitian dan Evaluasi Pendidikan

Keywords

instrumen; diagnostik kognitif; IPA; instruments; cognitive diagnostic; science

Document Type

Article

Abstract

Penelitian ini bertujuan untuk: (1) menghasilkan instrumen diagnostik kognitif pada mata pelajaran IPA materi kalor berdasarkan learning continuum, (2) menemukan karakteristik instrumen diagnostik kognitif pada mata pelajaran IPA materi kalor, berdasarkan learning continuum. Metode yang digunakan dalam penelitian ini adalah metode pengembangan tes diagnostik. Penelitian didahului dengan penyusunan learning continum, kisi-kisi tes, hierarki materi prasyarat dan spesifikasi item pada materi IPA konsep kalor yang ditelaah melalui Focus Group Discussion (FGD). Uji coba dilaksanakan dengan subjek uji sebanyak 484 siswa kelas VII SMP di Kabupaten Sleman. Seleksi butir tes untuk mendapatkan fit tes menggunakan program Quest dan Program M Plus untuk uji kecocokan/kesesuaian model atribut dengan matriks Q. Hasil penelitian menunjukan: (1) instrumen yang berhasil dikembangkan berbentuk tes pilihan ganda dengan alasan, berjumlah 28 butir soal dan menghasilkan tujuh Q matrik; (2) analisis dengan program Quest diperoleh butir fit dengan model dan program M Plus menemukan besarnya probabilitas pada setiap latent class pada tujuh Q matriks yang tersusun.

Kata kunci: instrumen, diagnostik kognitif, IPA

DEVELOPING THE INSTRUMENTS OF COGNITIVE DIAGNOSTIC FOR SCIENCE SUBJECT IN JUNIOR HIGH SCHOOL

Abstract

The study aimed at: (1) producing cognitive diagnostic instruments for science subjects of heat topic based on learning continuum (2) finding the characteristics of the instrument developed The method used in this research is the development of diagnostic tests. The research was preceded by the preparation of learning continuum, test blueprint , hierarchy of prerequisite materials and test specification on materials of science concept which were examined through Focus Group Discussion (FGD).The test trial was implemented with 484 students of class VII SMP in Sleman as subjects. Selection of test items to get fit tests used Quest program and M Plus program to test the suitability/fitness model with the attribute matrix Q. The results show: (1) the instruments developed in the form of a multiple choice test with reason, totaling 28 items and seven Q matrix; (2) analysis using Quest program finds item fit with the model ,and program M Plus find the probability in each latent class on seven Q matrix composed.

Keywords: instruments, cognitive diagnostic, science

First Page

111

Last Page

125

Issue

1

Volume

20

Digital Object Identifier (DOI)

10.21831/pep.v20i1.7524

References

Adam, R.J. & Khoo, S.T. (1996). Quest. The Interactive Test Analysis System.Version 2.1. Melbourne: ACER.

Afaq, A. & Al-Mashari, A. (2010). On the development of a computer-based diagnostic assessment tool to help in teaching and learning process. International Journal of Education and Development using Information and Communication Technology (IJEDICT), 6(1), 76-87.

Anderson, L. W., & Krathwohl, D. R. (Eds). (2001). A taxonomy for learning, teaching, and assessing: A revision of Bloom's Taxonomy of educational objectives: Complete edition. New York: Longman.

De La Torre, J. & Karelitz, T.M. (2009). Impact of Diagnosticity on the Adequacy of Models for Cognitive Diagnosis under a Linear Attribute Structure: A Simulation Study. Journal of Educational Measurement, 46(4), 450-469.

Dunn, L., Morgan, C., Parry, S.R., & Reilly, M.O. (2004). The Student Assessment Handbook. New York: Taylor & Francis.

Duskri, M., Kumaidi, K., & Suryanto, S. (2014). Pengembangan Tes Diagnostik Kesulitan Belajar Matematika di SD. Jurnal Penelitian Dan Evaluasi Pendidikan, 18(1), 44-56. Retrieved from http://journal.uny.ac.id/index.php/jpep/article/view/2123/1768.

Ebel, Robert L. (1979). Essentials of Educational Measurement. New Jersey: Prentice. Hall. Inc.

Efendi, R. (2010). Kemampuan Fisika Siswa Indonesia Dalam TIMSS (Trend of International on Mathematics and Science Study). Prosiding Seminar Nasional Fisika 2010. ISBN: 978‐979‐98010‐6‐7.

Ellis, T.J & Levy, Y. (2010). A Guide for Novice Researchers: Design and Development Research Methods. Proceedings of Informing Science & IT Education Conference (InSITE), 108-118.

Fauzan. (2010). Pengembangan tes diagnostik kesulitan belajar matematika di SMA. Disertasi doktor, tidak diterbitkan, Universitas Negeri Yogyakarta, Yogyakarta.

Gage, N.L & Berliner, D.C. (1991). Educational Psychology. 5th ed. Boston: Houghton Mifflin Company.

Gierl, M.J. (2007). Making Diagnostic Inferences About Cognitive Attributes Using the RuleSpace Model and Attribute Hierarchy Method. Journal of Educational Measurement, 44(4), 325-340.

Gorin, J.S. (2007). Test construction and diagnostic testing. In Leighton, J.P. & Gierl, M.J. (Eds), Cognitive diagnostic assessment for education theory and applications (p.174). Cambridge: Cambridge University Press.

Gronlund, Norman E. (1982). Measurement and Evaluation in Teaching. New York: Macmillan Publishing.

Isgiyanto, A. (2011). Diagnosis Kesalahan Siswa Berbasis Penskoran Politomus Model Partial Credit Pada Matematika. Jurnal Penelitian dan Evaluasi Pendidikan, 15(2), 308-325.

Kusaeri. (2012). Pengembangan tes diagnostik dengan menggunakan model DINA untuk mendapatkan informasi salah konsepsi dalam aljabar. Disertasi doktor, tidak diterbitkan, Universitas Negeri Yogyakarta, Yogyakarta.

Leung, C., & Mohan, B. (2004). Teacher formative assessment and talk in classroom contexts: Assessment as discourse and assessment of discourse.

Maddalena, T. (2008). Issues of power and equity in two models of self-assessment. Teaching in Higher Education, 13(1), 81-92.

Mardapi, D. (2008). Teknik penyusunan instrumen tes dan non-tes. Yogyakarta: Mitra Cendikia Offset.

Mehrens, W.A. & Lehmann, I.J. (1984). Measurement and evaluation in education and psychology. New York: Holt, Rinehart and Winston, Inc.

Mislevy, R.J. (1994). Evidence and Inference in educational assessment. Psychometrica, 59, 439-483.

Nichols, P.D. (1994). A framework for developing cognitively diagnostic assessment. Review of Educational Research, 64(4), 575-603.

Nitko, J.A. (1996). Educational Assessment of Student. New Jersey: Prentice. Hall. Inc.

NWEA. (2003). Idaho State Aligned Learning Continuum Release 1.0. Retrieved from https://id.scribd.com/doc/244834242/ID-State-Learning-Continuum.

Nylund, K.L., Asparouhov, T., & Muthen, B.O. (2007). Deciding on the number of classes in latent class analysis and growth mixture modeling: A Monte Carlo simulation study. Structural Equation Modeling, 14, 535-569.

Oksuz, C. (2007). Children's understanding of equality and the equal symbol. Adnan Menderes University. Retrieved from cumalioksuz@adu.edu.tr.

Permendiknas Nomor 20 Tahun 2007 tentang Standar Penilaian.

Rupp, A.A., & Templin, J.L. (2008). Unique characteristics of diagnostic classification models: A comprehensive review of the current state-of-the-art. Measurement: Interdisciplinary Research and Perspectives, 6(4), 219-262.

Rupp, A.A., Templin, J., & Henson, R.A. (2010). Diagnostic measurement: Theory, methods and applications. New York: The Guilford Press.

Russell, M., & O'dwyer, L.M. (2009). Diagnosing students' misconceptions in algebra: Results from an experimental pilot. Behavior Research Methods, 41(2), 414-424.

Taufik, M., Sukmadinata, Abdulhak, I., & Tumbelaka, B.Y. (2010). Desain model pembelajaran untuk meningkatkan kemampuan pemecahan masalah dalam pembelajaran IPA (fisika) sekolah menengah pertama di Kota Bandung. Berkala Fisika, 13(2), E31-E44.

Templin, J. (2009). Estimation of diagnostic models with Mplus. Slide presentasi disampaikan dalam National Council on Measurement in Education, Diagnostic Modeling, tanggal 12 Februari 2014. Retrieved from http://jtemplin.coe.uga.edu/teaching.

Weeden, P., Winter, J., & Broadfoot, P. (2002). Assessment what's in for school? Routledge Falmer: London.

Wright, B.D., & Masters, G.N. (1982). Rating Scale Analysis. Chicago: Mesa Press.

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