Psychometric Analysis of Senior Secondary School Certificate Examination (SSCE) 2017 Neco English Language Multiple Choice Test Items in Kwara State Using Item Response Theory
Abstract
Abstract Views: 234
The study determined the dimensionality of 2017 National Examinations Council (NECO) English Language multiple-choice test item and estimated the item parameter indices (discrimination, difficulty, guessing and carelessness) using four parameter logistic model. The ex-post facto design was employed for the study. The population for the study comprised all candidates/test-takers who enrolled and sat for June/July Senior School Certificate Examination (SSCE) 2017 NECO English Language Examination in Kwara State, Nigeria with 12,000 samples purposively selected from sixteen Local Government Area in the State. The research instruments used for the study were Optical Marks Record Sheets for the NECO June/July 2017 English Language objectives items. The responses of the testees were scored dichotomously. The data collected were calibrated using four parameters logistic model. The results showed that the 2017 English Language multiple-choice item among SSCE students in Kwara State does not violate the assumption of unidimensionality which made the items reliable for use in assessing knowledge of students in English language. Also, the results showed that only two items were able to suit the 4-PLM based on the rule of thumb. While the remaining items does not suit the 4-PLM. It was recommended among others that NECO and other examination bodies should intensify more efforts toward improving the standard of the English Language test items using 4-PLM, which is the new trend for estimating item parameter indices
Downloads
References
Ackerman, T. A., Gierl, M. J., & Walker, C. M. (2003). Using multidimensional item response theory to evaluate educational and psychological tests. Educational Measurement: Issues and Practice: MIRT Instructional Module.
Adedoyin, O. O., & Adedoyin, J. A. (2013). Assessing the comparability between classical test theory (CTT) and Item response theory (IRT) models in estimating test item parameters. Herald Journal of Education and General Studies, 2(3), 107-114.
Adegbile, J. A. (1999). The relative effectiveness of three models of expository advance organiser on secondary students’ learning outcomes in reading comprehension. Unpublished Ph.D Thesis, Univesity of Ibadan, Ibadan.
Adeyemo, E. O. & Opesemowo, O. A. (2020). Differential Test let Functioning (DTLF) in Senior School Certificate English Language Examination Using Multilevel Measurement Modelling. Sumerianz Journal of Education, Linguistics and Literature, 3(11), 249-253. https://doi.org/10.47752/sjell.311.249.253
Amarnani, R. (2009). Two theories, one theta: A gentle introduction to item response theory as an alternative to classical test theory. The
International Journal of Educational and Psychological Assessment, 3, 104-109.
Atanda A.I. (2011). A Survey of Secondary Students Achievement in English Language and Mathematics in Nigeria: Lessons for Secondary School Administrators in Nigeria. Journal of Sociology and Education in Africa, 10 (2), 126-147
Baker, F. B. & Kim, S. (2004). Item response theory: Parameter estimation techniques. 2nd ed. New York Marcel Dekker.
Baker, F. B. (2001). The basics of item response theory (2nd ed.). United States of America: ERIC Clearing House on Assessment and Evaluation.
Baker, F. B., & Kim, S. H. (2004). Item response theory: parameter estimation techniques (2nded.). New York: Marcel Dekker.
Barton, M. A., & Lord, F. M. (1981). An upper asymptote for the three- parameter logistic item-response model (Research Report 18-21). Princeton, NJ: Educational Testing Service. doi: 10.1002/j.2333- 8504.1981.tb01255.x
David, A. A., Henry, O. O., Mayowa, O. O., Joseph, T. A., & Samuel, T.
B. (2017). Analysis of the dimensionality of Nigerian Senior School Certificate Examination June/July 2013/2014 objective test in Government. Journal of Science and Technology, Mathematics and Education, 13(4), 83-93
Deng, N., Wells, C., & Hambleton, R. (2008). A confirmatory factor analytical study examining the dimensionality of educational achievement tests. NERA Conference proceedings 2008 paper 31. http://digitalcommons.ucom.edu/nera 2008/31
Jang, E. E., & Roussos, L. (2007). An investigation into the dimensionality of TOEFL using conditional covariance-based nonparametric approach. Journal of Educational Measurement, 44, 1-22.
Jiao, H. (2004). Evaluating the dimensionality of the Michigan English Language assessment battery. Spain Fellow Working papers in Second or Foreign Language Assessment, 2, 27–51.
Jiao, H. (2004). Evaluating the dimensionality of the Michigan English Language assessment battery. Spaan Fellow Working papers in Second or Foreign Language Assessment, 2, 27–51.
Jimoh, K. (2021). Gender and culture-related differential item functioning in 2016 National Examinations Council Mathematics multiple choice questions in Nigeria. Unpublished Ph.D. Thesis, Obafemi Awolowo University, Ile-Ife.
Jimoh, K., & Adediwura. A. A. (2022). Estimation of Item Parameter Indices of NECO Mathematics Multiple Choice Test Items Among Nigerian Students. Journal of Integrated Elementary Education, 2(1), 43-54. https://doi.org/10.21580/jieed.v2i1.10187.
Kyung, T. H. (2013). Windows software that generates IRT parameters and item responses: research and evaluation program methods (REMP). Amherst: University of Massachusetts.
Li, Y., Jiao, H., & Lissitz, R. W. (2012). Applying multidimensional item response theory models in validity test dimensionality: An example K-
large-scale science assessment. Journal of Applied Testing Technology, 13,(2), 1-27.
Liao, W. W., Ho, R. G., Yen, Y. C., & Cheng, H. C. (2012). The four- parameter logistic item response theory model as a robust method of estimating ability despite aberrant responses. Social Behavior and Personality: An International Journal, 40(10), 1679-1694. doi: 10.2224/sbp.2012.40.10.1679
Loken, E. & Rulison, K. L. (2010). Estimation of a 4-parameter Item Response Theory model. The British Journal of Mathematical and Statistical Psychology, 63(3), 509-525.
doi:10.1348/000711009X474502,
Lord, F. M. (2012). Applications of item response theory to practical testing problems. New Jersey, NJ: Lawrence Erlbaum Associates
Magis, D. (2013). A note on the item information function of the four- parameter logistic model. Applied Psychological Measurement, 37(4), 304-315. doi: 10.1177/0146621613475471
McDonald, R. P. (2000). A basis for multidimensional item response theory. Applied Psychological Measurement, 24, 99 - 114.
Meng, X., Xu, G., Zhang, J., & Tao, J. (2019). Marginalized maximum a posteriori estimation for the four-parameter logistic model under a mixture modelling framework. British Journal of Mathematical and Statistical Psychology, Advanced online publication. doi: 10.1111/bmsp.12185
Ojerinde, D. (2012). Introduction to item response theory, parameter models, estimation and application. Abuja, Nigeria: Marvellous Press.
Reeve, B. B. (2000). Item and scale-level analysis of clinical and non- clinical sample responses to the MMPI-2 depression scales employing item response theory (Unpublished doctoral dissertation). University of North Carolina, Chapel Hill.
Smith, J. (2009). Some issues in item response theory: Dimensionality assessment and models for guessing. Unpublished Doctoral Dissertation. University of South Califonia.
Stivena, D. (2011). Assessing dimensionality in complex data structures: A performance comparison of DETECT and NOHARM procedures. Unpublished Ph.D. Dissertation, Arizona State University.
Tomblin, J. B., & Zhang, X. (2006). The dimensionality of language ability in school–age children. Journal Language and Hearing of Speech, Research Vol. 49. 1193-1
Wilson, K. M. (2000). An explanatory dimensionality assessment of the TOEFL test. Educational Testing Service; Research Report, RR-00- 14.Princeton, New Jersey.
Wright, B. D. (1999). Fundamental measurement for psychology. In: S. E. Embretson & S. L. Hershberger (Eds.). The new rules of measurement. (pp. 65-104). Mahwah, N J: Lawrence Erlbaum Associates.
Copyright (c) 2022 Kasali Jimoh, Oluwaseyi Aina Opesemowo, Yinusa Akintomide Faremi

This work is licensed under a Creative Commons Attribution 4.0 International License.
