Development of a Higher-Order Thinking Skills Measurement Instrument in the Science and Technology Learning Area for Grade 9 Students

Main Article Content

Jaturong Srithai
Nattakan Prachanban

Abstract

Higher-order thinking skills are essential competencies for learners in the 21st century, enabling them to analyze, synthesize, evaluate, make reasoned decisions, and develop new approaches to problem solving. These skills are particularly important in the Science and Technology Learning Area, which emphasizes inquiry, empirical evidence, systematic thinking, and the application of knowledge to real-life situations. This research aimed to 1) develop a higher-order thinking skills measurement instrument for Grade 9 students and 2) examine the quality of the developed instrument. Content validity was evaluated by five experts. The tryout group consisted of 100 Grade 9 students, while the sample for quality examination included 300 Grade 9 students from schools in Phetchabun Province, selected through multi-stage random sampling. The instrument was a situational multiple-choice test covering four dimensions: analytical thinking, synthesis thinking, creative thinking, and critical thinking. Data were analyzed using the Index of Item-Objective Congruence, item difficulty, discrimination index, Cronbach’s alpha coefficient, Pearson’s correlation coefficient, and confirmatory factor analysis. The findings revealed that the developed instrument consisted of 32 situational multiple-choice items: 12 analytical thinking items, 8 synthesis thinking items, 4 creative thinking items, and 8 critical thinking items. The item structure was consistent with the operational definitions and indicators used in instrument development. All items had IOC values ranging from 0.60 to 1.00, difficulty indices from 0.610 to 0.800, and discrimination indices from 0.260 to 0.760. The reliability coefficient of the overall instrument was 0.933, while the coefficients for analytical, synthesis, creative, and critical thinking were 0.838, 0.847, 0.645, and 0.864, respectively. The four dimensions were positively correlated at the .01 level, with correlation coefficients ranging from 0.365 to 0.747. Confirmatory factor analysis indicated that all four measurement models were consistent with the empirical data. Overall, the developed instrument demonstrated appropriate quality for assessing higher-order thinking skills among Grade 9 students. However, the creative thinking dimension should be interpreted with caution because it contained fewer items and showed lower reliability than the other dimensions.

Article Details

How to Cite
Srithai, J., & Prachanban, N. (2026). Development of a Higher-Order Thinking Skills Measurement Instrument in the Science and Technology Learning Area for Grade 9 Students. Journal of Science and Science Education (JSSE), 9(2), 282–295. https://doi.org/10.14456/jsse.2026.22
Section
Research Articles in Science Education

References

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

Bureau of Educational Testing. (2022). Manual for using instruments to assess learners’ key competencies according to the Basic Education Core Curriculum B.E. 2551 (A.D. 2008) (Revised Edition 2017) for Grades 7-9 (in Thai). Bangkok: Aksorn Thai Printing Limited Partnership.

Diamantopoulos, A. and Siguaw, J. A. (2000). Introducing LISREL: A guide for the uninitiated. London: SAGE Publications.

Goffin, R. D. (2007). Assessing the adequacy of structural equation models: Golden rules and editorial policies. Personality and Individual Differences, 42(5), 831-839.

Hox, J. J. (2010). Multilevel analysis: Techniques and applications (2nd ed.). New York: Routledge.

Jandokmai, S. (2010). Development of higher-order thinking skill tests for lower secondary school students (in Thai). Doctoral Dissertation. Bangkok: Chulalongkorn University.

Kanjanawasee, S. (2013). Classical test theory (7th ed.) (in Thai). Bangkok: Chulalongkorn University Press.

Kelloway, E. K. (2015). Using Mplus for structural equation modeling: A researcher’s guide (2nd ed.). Thousand Oaks, CA: SAGE.

Khammanee, T. (2011). Analytical, synthetic, creative and critical thinking skills: Integration in learning management (in Thai). The Journal of the Royal Institute of Thailand, 36(2), 188-204.

Ministry of Education. (2017). Indicators and core learning contents in the Science and Technology Learning Area (Revised Edition 2017) according to the Basic Education Core Curriculum B.E. 2551 (A.D. 2008) (in Thai). Bangkok: The Agricultural Cooperative Federation of Thailand Printing House.

OECD. (2023). PISA 2022 assessment and analytical framework. Paris: OECD Publishing.

Ramadhan, S., Mardapi, D., Prasetyo, Z. K. and Utomo, H. B. (2019). The development of an instrument to measure the higher order thinking skill in physics. European Journal of Educational Research, 8(3), 743–751.

Rampean, B. A. O. and Rohaeti, E. (2025). The development of an integrated instrument to measure higher order thinking skills and scientific attitudes. Journal of Turkish Science Education, 22(1), 48-62.

Schumacker, R. E. and Lomax, R. G. (2010). A beginner’s guide to structural equation modeling (3rd ed.). New York: Routledge.

Steiger, J. H. (2007). Understanding the limitations of global fit assessment in structural equation modeling. Personality and Individual Differences, 42(5), 893-898.