Development and Validation of a Deep Thai Language Proficiency Test for Lower Secondary School Students Using the Two-Parameter Logistic Item Response Theory Model (2PL-IRT)

Authors

  • Teerawat Oanteng Faculty of Education, Khon Kaen University
  • Putcharee Junpeng Faculty of Education, Khon Kaen University

Keywords:

Test Development and Validation, Deep Thai Language Proficiency Test, Learning Measurement and Evaluation, Item Response Theory (IRT), Two-Parameter Logistic Model (2PL-IRT)

Abstract

This study aimed to (1) develop and validate a deep Thai language proficiency test for lower secondary school students using the Two-Parameter Logistic Item Response Theory (2PL-IRT) model, and (2) propose guidelines for constructing and validating such a test appropriate to the Thai educational context. The study employed a research and development (R&D) design. The sample consisted of 250 lower secondary school students. The research instrument was a 30-item, four-option multiple-choice test. Data were analyzed using descriptive statistics and the Two-Parameter Logistic Item Response Theory (2PL-IRT) model. The findings revealed that (1) the developed test demonstrated acceptable content validity, with Item–Objective Congruence (IOC) values ranging from 0.60 to 1.00; (2) the response data fit the 2PL model well, with the test items showing good discrimination indices and difficulty parameters covering students with low, moderate, and high ability levels; (3) the test demonstrated high reliability (IRT reliability = 0.89) and measured students' abilities with high precision, particularly at the moderate to high ability levels; and (4) systematic guidelines for constructing and validating a deep Thai language proficiency test suitable for the Thai educational context were synthesized. The proposed guidelines emphasize construct definition, test development, and quality evaluation using the 2PL-IRT model and can serve as a framework for developing high-quality educational assessment instruments.

References

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

Embretson, Susan E.., & Reise, Steven P.. (2000). Item response theory for psychologists. Mahwah, NJ: Lawrence Erlbaum Associates.

Hambleton, R. K., Swaminathan, H., & Rogers, H. J. (1991). Fundamentals of item response theory. Newbury Park, CA: Sage.

Lan Thi Nguyen, Issara Kanjug, and Kulthida Tuamsuk. (2023). Digital Learning Ecosystem for Classroom Teaching in Thailand High Schools. Retrieved from https://journals.sagepub.com/doi/epub/10.1177/21582440231158303

Lord, Frederic M.. (1980). Applications of item response theory to practical testing problems. Hillsdale, NJ: Lawrence Erlbaum Associates.

Ministry of Education.(2017). The Basic Education Core Curriculum B.E. 2551 (Revised Edition B.E. 2560). Bangkok: Agricultural Cooperative Federation of Thailand Printing House.

Romkaew, N., Senarat, S., & Saengprom, N. (2021).Application of Item Response Theory in Developing an Item Bank for Basic Knowledge in Physical Education. Journal of Educational Measurement, Mahasarakham University, 27(2), 82-98.

Scientific Software International. (2015). IRTPRO for Windows (Version 4.2) [Computer software]. Lincolnwood, IL: Author.

Srisa-ard, B. (2018). Educational Measurement and Evaluation. Bangkok: Suweeriyarsarn.

Wongwanich, S. (2019). Learning Evaluation Research. Bangkok: Chulalongkorn University Press.

Yue Xiao, Cuiting Xie, Yayun Gong, and Jin Chen. (2024). Development and Validation of an Instrument to Assess Pre-service Physics Teachers’ Views on Non-Epistemic Nature of Science: Development and Validation of an Instrument to Assess Pre-service Physics Teachers’ Views on Non-epistemic Nature of ScienceY. Science & Education, 34(6), 4197-4236.

Zimowski, Lyle F.., Muraki, E., Mislevy, R. J., & Bock, R. D. (2003). BILOG-MG 3: Multiple-group IRT analysis and test maintenance for binary items. Lincolnwood, IL: Scientific Software International.

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Published

2026-06-30

How to Cite

Oanteng, T., & Junpeng, P. (2026). Development and Validation of a Deep Thai Language Proficiency Test for Lower Secondary School Students Using the Two-Parameter Logistic Item Response Theory Model (2PL-IRT). Journal of Academic Multidisciplinary Education, 2(3), 1–18. retrieved from https://so13.tci-thaijo.org/index.php/jame/article/view/3723