Construction and Standardization of Multiple Choice Tests for Senior Secondary Two (SS II) Students on Economics in Rivers State: The Traditional Approach
Authors
Research and Programme Development, National Agency for the Prohibition of Trafficking in Persons, Uyo Zonal Command (Nigeria)
Department of Guidance and Counseling, Delta State University Abraka (Nigeria)
Article Information
DOI: 10.47772/IJRISS.2025.91100555
Subject Category: Education
Volume/Issue: 9/11 | Page No: 7146-7163
Publication Timeline
Submitted: 2025-12-02
Accepted: 2025-12-09
Published: 2025-12-23
Abstract
The study problem was construction and standardization of achievement test on Economics for Senior Secondary two (SSII) students in Rivers State. The main purpose of the study was to construct 100 test items and determine the difficulty level and calculating the discrimination index of the test items. Two statistical techniques were used for item analysis, the Item Difficulty and Item Discrimination Index. The Item Difficulty and the Item Discrimination Index values of 0.4 to 0.6 for each index per test item were used to select 50 out of 100 items. After which the validity and reliability of the test were estimated on the selected fifty (50) items. The test was subjected for content validity and yielded a reliability index of 0.93 using split half reliability technique. In the process of standardizing the test, the 50 item test, the test was administered based on the following norms; Gender, Location, School Ownership and School Type and it was limited to a representative sample of 250 students from five senior secondary schools in Rivers State. The analysis for standardization was done using frequency count, mean and independent sample t-test from the final scores. From the results, there were differences for some norms while for some, there were no difference.
Keywords
Construction, Standardization, Multiple Choice Test, Senior Secondary Two (SS2) Students
Downloads
References
1. Adebule, S. O. & James, A. O. (2014). Gender comparison of attitude of senior secondary school students towards Mathematics in Ekiti State, Nigeria. European Scientific Journal, 10(19), 153-160. [Google Scholar] [Crossref]
2. Adebule, S. O. & James, A. O. (2013). Influence of study interest and school location on the attitude of secondary school students towards Mathematics in Ekiti State, Nigeria. Greener Journal of Educational Research, 3(6), 229-232. [Google Scholar] [Crossref]
3. AERA, APA & NCME. (2014). Standards for educational and psychological testing. American Educational Research Association. [Google Scholar] [Crossref]
4. Asuru, V. A. (2015). Measurement and evaluation in education and psychology. (2nd Edition). Pearl Publishers International LTD. [Google Scholar] [Crossref]
5. Ellah, K. E. & Ita, P.M. (2017). Correlational relationship between school location and students’ academic performance in english language in Nigerian secondary schools. International Journal of Scientific and Research Publications, 7(9), 381-384. [Google Scholar] [Crossref]
6. Faremi, Y. A. (2016). Reliability coefficient of multiple–choice and short answer objective test items in basic technology: comparative approach. Journal of Educational Policy and Entrepreneurial Research (JEPER), 3(3), 59-69. [Google Scholar] [Crossref]
7. Franzen, M. D. (2011). Test construction. In: Kreutzer, J. S., DeLuca, J., Caplan, B. (eds) Encyclopedia of clinical neuropsychology. Springer, New York, NY. https://doi.org/10.1007/978-0-387-79948-3_1257 [Google Scholar] [Crossref]
8. Hernandez, I. (n.d.). Introduction to item analysis: Evaluating and improving multiple choice question. Depaul University. [Google Scholar] [Crossref]
9. Musibau, A. Y. & Johnson, T. A. (2010). The Influence of school sex, location and type on students’ academic performance. International Journal of Education and Science, 2(2), 81-85. [Google Scholar] [Crossref]
10. Mutai, C. C. (2016). Gender differences in mathematics performance among secondary school students in Bureti Sub-County, Kericho County Kenya. Master Thesis, Kenyatta University.https://irlibrary.ku.ac.ke/bitstream/handle/123456789/14968/Gender%20differences%20in%20mathematics%20performance.pdf?sequence=1&isAllowed=y [Google Scholar] [Crossref]
11. Nnenna, G. E. and Adukwu, B. C. (2018). Influence of Gender and school location on senior secondary school student’s achievement in Biology Inagbani Education Zone of Enugu State, Nigeria. Journal of Education and Practice, 9(21), 45-51. [Google Scholar] [Crossref]
12. Obagah, M. O. N. & Inko-Tariah, D. C. (2014). Educational measurement and evaluation. RodiPrinting and Publishing Company. [Google Scholar] [Crossref]
13. Okon, C. E. & Archibong, U. I. (2015). School type and students’ academic performance in social studies in junior secondary certificate examination (JSCE). Academic Journal of Interdisciplinary Studies, 4(2), 421-426. Doi:10.5901/ajis.2015.v4n2p421. [Google Scholar] [Crossref]
14. Olasehinde, K. J. & Olatoye, R. A. (2014). A Comparative Study of Public and Private Senior Secondary School Students’ Science Achievement in Katsina State, Nigeria. Journal of Educational and Social Research, 4(3), 203-207. Doi:10.5901/jesr.2014.v4n3p203. [Google Scholar] [Crossref]
15. Onukwo, G. I. N. (2002). Fundamentals of educational measurement and evaluation. Cape Publishers International Ltd. [Google Scholar] [Crossref]
16. Popham, W. J. (1999). Why standardized tests don't measure educational quality. Educational Leadership. 56(6), 8–15. [Google Scholar] [Crossref]
17. Popham, W. J. (2016). Standardized tests purpose is the point. Educational Leadership, 73(7), 47. [Google Scholar] [Crossref]
18. SCOREPAK, (2005). Office of educational assessment, university of Washington. www.washington.edu/oes/score1.htm. [Google Scholar] [Crossref]
19. Umar, U. S. & Samuel, R. I. (2018). School location as correlate of students’ achievement in basic science. International Journal of Innovative Education Research, 6(3), 14-17. [Google Scholar] [Crossref]
20. Wangu, M. J. (2014). The impact of gender differences on student’s academic performance in secondary schools in Ndumberi Division, Kiambu County, Kenya in Science Subjects and Languages. Postgraduate Diploma Project, University of Nairobi. http://erepository.uonbi.ac.ke/bitstream/handle/11295/75580/Mwiigi%20s [Google Scholar] [Crossref]
Metrics
Views & Downloads
Similar Articles
- Assessment of the Role of Artificial Intelligence in Repositioning TVET for Economic Development in Nigeria
- Teachers’ Use of Assure Model Instructional Design on Learners’ Problem Solving Efficacy in Secondary Schools in Bungoma County, Kenya
- “E-Booksan Ang Kaalaman”: Development, Validation, and Utilization of Electronic Book in Academic Performance of Grade 9 Students in Social Studies
- Analyzing EFL University Students’ Academic Speaking Skills Through Self-Recorded Video Presentation
- Major Findings of The Study on Total Quality Management in Teachers’ Education Institutions (TEIs) In Assam – An Evaluative Study