Diagnostic Test to Assess Misconceptions on Photosynthesis and Plant Respiration: Is It Valid and Reliable?
Abstract
High percentage of secondary school students was found that they were lack of understanding of the relationship between photosynthesis and respiration in plants. They did not fully understand the importance and function about plant respiration. Thus, this study designed to develop a valid and reliable instrument in two- tier multiple choice questions format which called Photosynthesis and Plant Respiration Diagnostic Test (PRDT) to assess the common types of misconceptions related to this topic among form four students (Grade 10) in Malaysia. Survey research method was applied in this study. There were 500 participants from 15 secondary schools were involved. 45 minutes were given to the participants in answering 18 two- tier diagnostic test items. The psychometric properties of the instrument had been tested using Rasch analysis. The result found that the newly developed instrument was valid and reliable. It brought the significant contribution in teaching and learning, especially classroom assessment practice in Biology subject.
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Akçay, S. (2016). Prospective elementary science teachers’ understanding of photosynthesis and cellular respiration in the context of multiple biological levels as nested systems. Journal of Biology Education, 51 (1). 52-65.
Alquraan, M., Alshraideh, M., & Bsharah, M. (2010). Psychometric properties and differential item functioning (DIF) analyses of Jordanian version of Self-Assessed Wisdom Scale (SAWS-Jo). International Journal of Applied Educational Studies, 9(1), 52-66.
Anjarsari, P. (2018). The Common Science Misconceptions in Indonesia Junior High School Students. Journal of Science Education Research, 2(1), 21-24.
Bond, T. G., Fox, C. M., & Lacey, H. (2007). Applying the Rasch model: Fundamental measurement. In in the social sciences 2nd.
Boone, W. J. (2016). Rasch analysis for instrument development: why, when, and how?. CBE—Life Sciences Education, 15(4), rm4.
Chang, L., & Lo, S. J. (2015). A Rasch Model Distractor Analysis on Ordered Multiple-Choice Items of a Fractional Test. Jiaoyu Yu Xinli Yanjiu= Journal of Education & Psychology, 38(2), 87.
Cullinane, A., & Liston, M. (2011). Two-tier Multiple Choice Questions (MCQs)-How Effective are They: A Pre-service Teachers Perspective. IOSTE-NW Europe, 1-12.
Fisher, W. P. (2007). Rating scale instrument quality criteria. Rasch Measurement Transactions, 21(1), 1095.
Fulmer, S. M., D'Mello, S. K., Strain, A., & Graesser, A. C. (2015). Interest-based text preference moderates the effect of text difficulty on engagement and learning. Contemporary Educational Psychology, 41, 98-110.
Fulmer, G. W., Chu, H. E., Treagust, D. F., & Neumann, K. (2015). Is it harder to know or to reason? Analyzing two-tier science assessment items using the Rasch measurement model. Asia-Pacific Science Education, 1(1), 1-16.
Galvin, E., Simmie, G. M., & O'Grady, A. (2015). Identification of misconceptions in the teaching of biology: A pedagogical cycle of recognition, reduction and removal. Higher Education of Social Science, 8(2), 1-8.
Goh, H. E., Marais, I., & Ireland, M. J. (2017). A Rasch model analysis of the mindful attention awareness scale. Assessment, 24(3), 387-398.
Gurel, D. K., Eryılmaz, A., & McDermott, L. C. (2015). A review and comparison of diagnostic instruments to identify students' misconceptions in science.
Herrmann-Abell, C. F., & DeBoer, G. E. (2016). Using Rasch Modeling and Option Probability Curves to Diagnose Students' Misconceptions. Grantee Submission.
Jayanti, P. (2020). Comparative Study: Misconceptions On Photosynthesis And Respiration Concepts From Past To The Present. JPPS (Jurnal Penelitian Pendidikan Sains), 9(1), 1750-1755.
Kestler, N. S. (2014). Middle School Science Teachers' understanding of students' misconceptions of photosynthesis and respiration (Doctoral dissertation).
Kılıç, D., & Sağlam, N. (2009). Development of a two-tier diagnostic test concerning genetics concepts: the study of validity and reliability. Procedia-Social and Behavioral Sciences, 1(1), 2685-2686.
Lawshe, C. H. (1975). A quantitative approach to content validity. Personnel psychology, 28(4), 563-575.
Lin, D., Talathi, S., & Annapureddy, S. (2016, June). Fixed point quantization of deep convolutional networks. In International conference on machine learning (pp. 2849-2858). PMLR.
Linacre, J. M. (2012). A User's Guide to Winstep. Ministep Rasch-Model Computer Programs.: Program Manual 3.73. 0. 2011.
Lowhorn, G. L. (2007, May). Qualitative and quantitative research: How to choose the best design. In Academic Business World International Conference. Nashville, Tennessee.
Marmaroti, P., & Galanopoulou, D. (2006). Pupils' understanding of photosynthesis: A questionnaire for the simultaneous assessment of all aspects. International Journal of Science Education, 28(4), 383-403.
Näs, H. (2012). Understanding Photosynthesis and Respiration: Is It a Problem? Eighth Graders’ Written and Oral Reasoning About Photosynthesis and Respiration. In Issues and challenges in science education research (pp. 73-91). Springer, Dordrecht.
Nitko, A. J.,&Brookhart, S. M. (2014). Educational Assessment of Students (6th Edition). USA: Pearson.
Pae, H. (2011). Research Note: Differential Item Functioning and Unidimensionality in the Pearson Test of English Academic.
Parker, J. M., Anderson, C. W., Heidemann, M., Merrill, J., Merritt, B., Richmond, G., & Urban-Lurain, M. (2012). Exploring undergraduates' understanding of photosynthesis using diagnostic question clusters. CBE—Life Sciences Education, 11(1), 47-57.
Södervik, I., Virtanen, V., & Mikkilä-Erdmann, M. (2015). Challenges in understanding photosynthesis in a university introductory biosciences class. International Journal of Science and Mathematics Education, 13(4), 733-750.
Susanti, R. (2018, May). Misconception of biology education student of teacher training and education of Sriwijaya University to the concept of photosynthesis and respiration. In Journal of Physics: conference series (Vol. 1022, No. 1, p. 012056). IOP Publishing.
Svandova, K. (2014). Secondary school students’ misconceptions about photosynthesis and plant respiration: Preliminary results. Eurasia Journal of Mathematics, Science and Technology Education, 10(1), 59-67.
Teh, J., & Lim, H. L. (2016). Examining Psychometric Properties of Malay Version Children Depression Invento-ry (CDI) and Prevalence of Depression among Secondary School Students.
Pertanika Journal of Social Sciences & Humanities, 24(4).
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.
Treagust, D. F. (2012, October). Diagnostic assessment in science as a means to improving teaching, learning and retention. In Proceedings of The Australian Conference on Science and Mathematics Education (formerly UniServe Science Conference).
Treagust, D. F., & Haslam, F. (1986). Evaluating Secondary Students' Misconceptions of Photosynthesis and Respiration in Plants Using a Two-Tier Diagnostic Instrument.
Vila, F., & Sanz, A. (2012). Reintroducing photosynthesis. Biochemistry and Molecular Biology Education, 40(2), 148-155.
Wind, S. A., & Gale, J. D. (2015). Diagnostic opportunities using Rasch measurement in the context of a misconceptions‐based physical science assessment. Science Education, 99(4), 721-741.
Yao, J. J. J., & Mok, M. M. C. (2013). Implementing assessment for learning: An application of the Rasch model for the construction of a mathematics assessment to inform learning.
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