EQUATING 2022 WAEC MAY/JUNE AND NECO JUNE/ JULY MATHEMATICS MULTIPLECHOICE EXAMINATIONS USING LINEAR EQUATING METHOD

Authors

  • Dr. (Mrs.) Chinelo Blessing Oribhabor Department of Guidance and Counselling, Faculty of Arts and Education, University of Africa, Toru-Orua, Bayelsa State Author
  • Dr. (Mrs.) Lydia Omowunmi Adesanya Department of Science, Mathematics and Technology Education, Faculty of Education, University of Pretoria, South Africa Author

Keywords:

Equating, Mathematics, Linear Equating, Multiple choice and Test Items

Abstract

The equating of educational assessments serves as a crucial component in ensuring fairness and comparability
across different examination boards. This study aimed to equate the 2022 WAEC May/June and NECO June/July
Mathematics multiple-choice examinations using the linear equating method. Specifically, the study establishes a
statistical procedure that aligns the ability parameters, and determined the difficulty and discrimination
parameters of the two examinations. The methodology involves the collection and analysis of item response data
from a representative sample of 1,486 SS3 students in seven (7) selected public secondary schools in Yenagoa
Metropolis, Bayelsa State using multi-stage sampling procedure. Three research questions were answered with
descriptive statistics (mean and standard deviation), while two hypotheses were tested using independent
sampled t-test statistics at 0.05 alpha level of significant. The findings of this study revealed that the 2022
WAEC May/June scores is equivalent to the 2022 NECO June/July scores using linear equating method; there is
no significant difference in the item difficulty parameters of the 2022 WAEC May/ June and 2022 NECO June/
July Mathematics multiple choice Examinations; and there is a significant difference in the item discrimination
parameters of the 2022 WAEC May/ June and 2022 NECO June/ July Mathematics multiple choice
Examinations. The study recommends that the examination bodies should implement quality assurance
mechanisms to monitor the consistency and accuracy of discrimination level evaluation across test items.

Downloads

Published

2025-05-22

Issue

Section

Articles