One-Parameter Logistic Model and its Application in Test Development Research Paper Authors UGADA Catherine Department of Educational Foundation, Rivers State University, River State EYONG, Emmanuel Ikpi Department of Educational Foundations and Childhood Education Cross River University of Technology (CRUTECH) Calabar , Nigeria Keywords: logistic model, Psychology, Rasch model, Sampling technique Abstract The study focused on the one-parameter logistic model (1PLM) and its’ application in test development. Two research questions were answered and the design of the study was the instrumentation. Instrumentation research is a scientific investigation for meticulous development or construction of a test or measuring instrument that validity measures that concept or psychological construct, which it intends to measure with all accuracy (Kpolovie, 2010). A multi-stage sampling technique was used to acquire a sample size of 200 students for the study. A simple random sampling technique was used to select four schools from the local government area. Stratified random sampling was used to select 50 students each from each of the four schools to give the needed sample of 200 for the study. The instrument for this study was a self-developed mathematics test items. It is a 50 items test. The format is multiple-choice objectives with five (5) options lettered A-E. Findings revealed that the use of one parameter latent trait theory (Rasch model) offers the opportunity to deal with core measurement issues such as construct validity as well as providing richer interpretation regarding examinee performance. References Baker, F. B. (2001). The basics of item response theory. Washington DC: ERIC Clearing House. Courville, T. G. (2004). An empirical comparison of item response theory and classical test theory item/test statistics. A Dissertation Submitted to Graduate School, Texas A & M University. Crocker, L. & Algina, J. (2016). Introduction to classical and modern test theory. New York: Holt, Rinehart and Winston. Hambleton, R. K. & Jones, R. W. (2013). Comparison of classical test theory and item response theory and their applications to test development. Educational Measurement: Issues and Practice, 12(3), 38-47. Hambleton, R. K. & Swaminathan, H. (2005). Item response theory: Principles and applications. Boston: Kluwer. Hambleton, R. K., (2012). Item response theory: The three-parameter logistic model. CSE Report No. 220. Los Angeles: Centre for the Study of Evaluation. Hernard, D. H. (2000). Item response theory. In L. Grim & P. Yarnold (Eds.), Reading and understanding more multivariate statistics (pp. 67-97). Washington, D.C: American Psychological Association. Hinkle, Wiersma & Jurs, 2008). The theory and Practice of item response theory. New York: The Guildford Press. Advances in Social Sciences Research Journal (ASSRJ) 4, (12), 13-18. Kpolovie, P.J. (2010). Advanced research methods. New Owerri: Springfield publishers ltd. Schumacker, R. E. (2005). Item response theory. Applied Measurement Associates. Downloads Pdf How to Cite Catherine, U. ., & Ikpi, . E. E. . (2020). One-Parameter Logistic Model and its Application in Test Development: Research Paper. International Journal of Research in Social Science and Humanities (IJRSS) ISSN:2582-6220, DOI: 10.47505/IJRSS, 1(2), 40–45. Retrieved from https://ijrss.org/index.php/ijrss/article/view/9 More Citation Formats ACM ACS APA ABNT Chicago Harvard IEEE MLA Turabian Vancouver Download Citation Endnote/Zotero/Mendeley (RIS) BibTeX Issue Vol 1 No.1 March-2020 Section Articles License Copyright (c) 2020 UGADA Catherine, EYONG, Emmanuel Ikpi This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.