The development of a three tier diagnostic test to identify misconception on food chain feeding relationships

Kurnia Fadila, Nahadi Nahadi, Taufik Rahman


This study was aimed to develop a Three-Tier Diagnostic Test instrument to identify students' alternative conceptions about Food Chain Feeding Relationships. This instrument was developed based on stages of development proposed by Treagust. This study involved 102 students of grade VII. There were 4 students included in the interview, 28 students answered the open-ended questions, and 70 students were involved in the implementation of instrument developed. The instrument items' content was then validated by five expert judgment. The analysis showed that the Content Validity Ratio and Content Validity Index value for nine items was 1, while an item acquired 0.6 value. This indicated that Food Chain Feeding Relationships Diagnostic Instrument (FCFRDI) is valid and feasible to be tested on students. The test result data were analyzed using the Rasch Model to determine the item fit and reliability. The difference between item reliability value and the person reliability demonstrated a significant result, which means that the instrument developed has good item quality. Overall, it can be concluded that the FCFRDI developed has met the content and empirical validity so that it can be used to identify students misconceptions.


Three Tier Test, Misconception, Food Chain Material

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Arslan, H. O., Cigdemoglu, C., & Moseley, C. (2012). A three-tier diagnostic test to assess pre-service teachers’ misconceptions about global warming, greenhouse effect, ozone layer depletion, and acid rain. International Journal of Science Education, 34(11), 1667–1686.

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

Caleon, I. S., & Subramaniam, R. (2010). Do students know what they know and what they don’t know? using a four-tier diagnostic test to assess the nature of students’ alternative conceptions. Research in Science Education, 40(3), 313–337.

Caleon, I., & Subramaniam, R. (2010). Development and application of a threetier diagnostic test to assess secondary students’ understanding of waves. International Journal of Science Education, 32(7), 939–961.

Cetin-Dindar, A., & Geban, O. (2011). Development of a three-tier test to assess high school students’ understanding of acids and bases. Procedia - Social and Behavioral Sciences, 15, 600–604.

Chandrasegaran, A. L., Treagust, D. F., & Mocerino, M. (2007). The development of a two-tier multiple-choice diagnostic instrument for evaluating secondary school students’ ability to describe and explain chemical reactions using multiple levels of representation. Chem. Educ. Res. Pract., 8(3), 293–307.

Gurcay, D., & Gulbas, E. (2015). Development of three-tier heat, temperature and internal energy diagnostic test. Research in Science & Technological Education, 33(2), 197–217.

Hammer, D. (1996). More than misconceptions: Multiple perspectives on student knowledge and reasoning, and an appropriate role for education research. American Journal of Physics, 64(10), 1316–1325.

Hovardas, T. (2013). A critical reading of ecocentrism and its meta-scientific use of ecology: Instrumental versus emancipatory approaches in environmental education and ecology education. Science & Education, 22(6), 1467–1483.

Kaltakci-Gurel, D., Eryilmaz, A., & McDermott, L. C. (2017). Development and application of a four-tier test to assess pre-service physics teachers’ misconceptions about geometrical optics. Research in Science & Technological Education, 35(2), 238–260.

Kaltakci Gurel, D., Eryilmaz, A., & McDermott, L. C. (2015). A Review and comparison of diagnostic instruments to identify students’ misconceptions in science. EURASIA Journal of Mathematics, Science and Technology Education, 11(5), 989–1008.

Korur, F. (2015). Exploring seventh-grade students’ and pre-service science teachers’ misconceptions in astronomical concepts. EURASIA Journal of Mathematics, Science and Technology Education, 11(5), 1041–1060.

Lawshe, C. H. (1975). A quantitative approach to content validity. Personnel Psychology, 28(4), 563–575.

Liampa, V., Malandrakis, G. N., Papadopoulou, P., & Pnevmatikos, D. (2019). Development and evaluation of a three-tier diagnostic test to assess undergraduate primary teachers’ understanding of ecological footprint. Research in Science Education, 49(3), 711–736.

Loh, A. S. L., Subramaniam, R., & Tan, K. C. D. (2014). Exploring students’ understanding of electrochemical cells using an enhanced two-tier diagnostic instrument. Research in Science and Technological Education, 32(3), 229–250.

Muller, F. (2000). Handbook of ecosystem theories and management. CRC Press.

Nahadi, N., Siswaningsih, W., & Purnamasari, R. (2014). Pengembangan tes diagnostik two-tier dan manfaatnya dalam mengukur konsepsi kimia siswa SMA. Jurnal Penelitian Pendidikan Kimia: Kajian Hasil Penelitian Pendidikan Kimia, 1(1), 51–58.

Özmen, H. (2004). Some student misconceptions in chemistry: A literature review of chemical bonding. Journal of Science Education and Technology, 13(2), 147–159.

PeÅŸman, H., & Eryilmaz, A. (2010). Development of a three-tier test to assess misconceptions about simple electric circuits. Journal of Educational Research, 103(3), 208–222.

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

Tan, K. C. D., Goh, N. K., Chia, L. S., & Treagust, D. F. (2002). Development and application of a two-tier multiple choice diagnostic instrument to assess high school students’ understanding of inorganic chemistry qualitative analysis. Journal of Research in Science Teaching, 39(4), 283–301.

Taslidere, E. (2016). Development and use of a three-tier diagnostic test to assess high school students’ misconceptions about the photoelectric effect. Research in Science and Technological Education, 34(2), 164–186.

Treagust, D. F. (1988). Development and use of diagnostic tests to evaluate students’ misconceptions in science. International Journal of Science Education, 10(2), 159–169.

Utami, G. R., Firman, H., & Nahadi, N. (2019). Development of computer based two-tier multiple choice diagnostic test to identify misconceptions on chemical bonding. Journal of Physics: Conference Series, 1157(4), 042033.

Vosniadou, S. (2012). Reframing the classical approach to conceptual change: Preconceptions, misconceptions and synthetic models. In B. J. Fraser, K. Tobin, & C. J. McRobbie (Eds.), Second International Handbook of Science Education (pp. 119–130). Springer Netherlands.

Wilson, F. R., Pan, W., & Schumsky, D. A. (2012). Recalculation of the critical values for Lawshe’s content validity ratio. Measurement and Evaluation in Counseling and Development, 45(3), 197–210.



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