Measuring up: Rasch analysis of English reading comprehension test for informal education learners

Authors

  • Arandha May Rachmawati Yogyakarta State University
  • Agus Widyantoro Yogyakarta State University

DOI:

https://doi.org/10.12928/eltej.v8i1.12747

Keywords:

Informal Education , Learners , Rasch Analysis , Reading Comprehension

Abstract

This study aims to evaluate the quality of English reading comprehension test instruments used in informal learning, especially as English literacy tests. With a quantitative approach, the analysis was carried out using the Rasch model through the Quest program on 30 multiple-choice questions given to 30 grade IX students from informal educational institutions in Bantul. The results of the analysis showed that although all questions were included in the fit category for the Rasch model, the level of reliability was relatively low, that was 0.52 for items and 0.39 for participants. In addition, 13.3% of the questions showed inconsistent results (misfit), this means that there is inconsistency in the results and quality of the questions that need to be improved. The analysis of the level of difficulty also showed that there were questions that were too easy or too difficult. These findings highlight the importance of revising the test items and the need to increase the number of participants and items to obtain more accurate measurement results. This study also provides practical implications regarding the need for continuous and planned instrument development in the context of informal education, to provide valid and reliable evaluation tools to measure students' literacy skills.

References

Anggia, H., & Habók, A. (2023). Textual complexity adjustments to the English reading comprehension test for undergraduate EFL students. Heliyon, 9(1). https://doi.org/10.1016/j.heliyon.2023.e12891

Aryadoust, V., Ng, L. Y., & Sayama, H. (2021). A comprehensive review of Rasch measurement in language assessment: Recommendations and guidelines for research. Language Testing, 38(1), 6–40. https://doi.org/10.1177/0265532220927487

Brown, H. D., & Abeywickrama, P. (2018). Language assessment: Principles and Classroom Practices (3rd ed.). Pearson/Longman.

Butterfuss, R., Kim, J., & Kendeou, P. (2020). Reading Comprehension. In Oxford Research Encyclopedia of Education. Oxford University Press. https://doi.org/10.1093/acrefore/9780190264093.013.865

Chong, S. W., & Reinders, H. (2022). Autonomy of English language learners: A scoping review of research and practice. Language Teaching Research. https://doi.org/10.1177/13621688221075812

Christensen, K. S., & Ammentorp, J. (2024). Rasch analysis of the self-efficacy (SE-12) questionnaire measuring clinical communication skills. PEC Innovation, 4. https://doi.org/10.1016/j.pecinn.2024.100296

Creswell, J. W. (2014). Research Design: Qualitative, Quantitative, and Mixed Methods Approaches (4th ed.). Sage Publications.

Dunn, K. J. (2024). Random-item Rasch models and explanatory extensions: A worked example using L2 vocabulary test item responses. Research Methods in Applied Linguistics, 3(3). https://doi.org/10.1016/j.rmal.2024.100143

Faradillah, A., & Febriani, L. (2021). Mathematical Trauma Students’ Junior High School Based on Grade and Gender. Infinity Journal, 10(1), 53–68. https://doi.org/10.22460/infinity.v10i1.p53-68

Johnson, M., & Majewska, D. (2022). Formal, non-formal, and informal learning: What are they, and how can we research them? https://www.cambridge.org/

Jones, I. D., & Brady, G. (2022). Informal Education Pedagogy Transcendence from the ‘Academy’ to Society in the Current and Post COVID Environment. Education Sciences, 12(1). https://doi.org/10.3390/EDUCSCI12010037

Luber, L., Fögele, J., & Mehren, R. (2020). How Do Students Experience a Deprived Urban Area in Berlin? Empirical Reconstruction of Students’ Orientations. Review of International Geographical Education Online, 10(4), 500–532. https://doi.org/10.33403/rigeo.763170

Morea, N., Kasprowicz, R. E., Morrison, A., & Silvestri, C. (2024). Diverse population, homogenous ability: The development of a new receptive vocabulary size test for young language learners in England using Rasch analysis. Research Methods in Applied Linguistics, 3(3). https://doi.org/10.1016/j.rmal.2024.100166

Nguyen, H. T. M. (2022). Reshaping Content Validation: A Case Study of a Reading Achievement Test for Third-year English Majors. International Journal of Language Testing, 12(1), 26-58.

Noroozi, S., & Karami, H. (2024). A Rasch-based validation of the University of Tehran English Proficiency Test (UTEPT). Language Testing in Asia, 14(1). https://doi.org/10.1186/s40468-024-00290-4

Polat, M. (2022). A Rasch Analysis of Rater Behaviour in Speaking Assessment. International Online Journal of Education and Teaching (IOJET), 7(3), 1126–1141. https://iojet.org/index.php/IOJET/article/view/902

Prabowo, M. Y., & Rahmadian, S. (2023). Equivalency Evidence of the English Competency Test Across Different Modes: A Rasch Analysis. Teflin Journal, 34(2), 301–319. https://doi.org/10.15639/teflinjournal.v34i2/301-319

Priyani, T., & Sugiharto, B. (2024). Analysis of biology midterm exam items using a comparison of the classical theory test and the Rasch model. JPBI (Jurnal Pendidikan Biologi Indonesia), 10(3), 939–958. https://doi.org/10.22219/jpbi.v10i3.34345

Rafatbakhsh, E., & Ahmadi, A. (2023). Predicting the difficulty of EFL reading comprehension tests based on linguistic indices. Asian-Pacific Journal of Second and Foreign Language Education, 8(1). https://doi.org/10.1186/s40862-023-00214-4

Rizbudiani, A. D., Jaedun, A., Rahim, A., & Nurrahman, A. (2021). Rasch model item response theory (IRT) to analyze the quality of mathematics final semester exam test on system of linear equations in two variables (SLETV). Al-Jabar: Jurnal Pendidikan Matematika, 12(2), 399-412. https://doi.org/10.24042/ajpm.v12i2.9939

Smith, A. (2021). COVID-19 and Informal Education: Considerations for Informal Learning During the Pandemic. International Journal of Multidisciplinary Perspectives in Higher Education, 6(1), 122–127.

Smith, A., & Seal, M. (2021). The contested terrain of critical pedagogy and teaching informal education in higher education. In Education Sciences 11(9). MDPI. https://doi.org/10.3390/educsci11090476

Srisang, P., Everatt, J., & Th, A. (2021). Lower and Higher-Level Comprehension Skills of Undergraduate EFL Learners and Their Reading Comprehension. LEARN Journal: Language Education and Acquisition Research Network, 14(1), 427–454. https://so04.tci-thaijo.org/index.php/LEARN/index

Stenner, A. J. (2023). Explanatory Models, Unit Standards, and Personalized Learning in Educational Measurement. In Explanatory Models, Unit Standards, and Personalized Learning in Educational Measurement. Springer Nature Singapore. https://doi.org/10.1007/978-981-19-3747-7

Subagja, S., Rubini, B., & Kurniasih, S. (2023). Development and Validation of a Test of Science Process Skills for Secondary Students on Cellular Living System Organization Matter: Rasch Model Analysis. Jurnal Penelitian Pendidikan IPA, 9(10), 9056–9062. https://doi.org/10.29303/jppipa.v9i10.5177

Tkacová, H., Králik, R., Tvrdoň, M., Jenisová, Z., & Martin, J. G. (2022). Credibility and Involvement of social media in Education—Recommendations for Mitigating the Negative Effects of the Pandemic among High School Students. International Journal of Environmental Research and Public Health, 19(5). https://doi.org/10.3390/ijerph19052767

Toker, T., & Seıdel, K. (2023). A Mixture Rasch Model Analysis of Data from a Survey of Novice Teacher Core Competencies. International Journal of Contemporary Educational Research, 10(1), 147–156. https://doi.org/10.52380/ijcer.2023.10.1.349

William, F. K. A. (2024). Mastering validity and reliability in academic research: Meaning and significance. International Journal of Research Publications, 144(1), 287-292. https://doi.org/10.47119/ijrp1001441320246160

Winarti, A., & Mubarak, A. (2020). Rasch Modeling: A Multiple-Choice Chemistry Test. Indonesian Journal on Learning and Advanced Education (IJOLAE), 2(1), 1–9. https://doi.org/10.23917/ijolae.v2i1.8985

Wright, B. D., & Mok, M. M. C. (2004). An overview of the family of Rasch measurement models. In E. V. Smith Jr. & R. M. Smith (Eds.). In Introduction to Rasch measurement theory, models and applications 1(1), 1-24.

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Published

2025-07-07

How to Cite

Rachmawati, A. M. ., & Widyantoro, A. . (2025). Measuring up: Rasch analysis of English reading comprehension test for informal education learners. English Language Teaching Educational Journal, 8(1), 25–36. https://doi.org/10.12928/eltej.v8i1.12747

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