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Strategies to Minimize Pseudo-Guessing in Secondary School Economics Multiple-Choice Tests: An IRT (3PL) Study
Subject area: Science,Engineering and Technology · Area of research: Science Education (Measurement and Evaluation)
DOI: https://doi.org/10.64388/IREV9I8-1714731
Abstract
Guessing in multiple-choice assessments threatens the validity of achievement scores, particularly in secondary school Economics where such formats are widely used. This study investigated strategies to minimize pseudo-guessing in SS2 Economics multiple-choice tests using the Three-Parameter Logistic (3PL) model within the Item Response Theory framework. The study adopted an instrumental/measurement research design. The population comprised 2,266 SS2 Economics students in government-owned secondary schools in Nsukka Education Zone, Enugu State, Nigeria. A sample of 340 students was selected using Yamane’s formula and stratified proportionate random sampling. A 40-item multiple-choice Economics test was developed, face and content validated by experts, and pilot tested prior to administration. The instrument was administered as a pre-test and post-test, and data were analyzed using the R statistical environment (mirt package), focusing on the pseudo-guessing parameter (c). Pre-test results revealed c values ranging from 0.18 to 0.25, indicating moderate susceptibility to guessing. Following the implementation of strategies such as improved distractor plausibility and clearer instructions, post-test c values decreased to a range of 0.08 to 0.14. The reduction values (0.09–0.11 across items) demonstrated a consistent decline in guessing probability. The study concludes that targeted item construction and psychometric calibration significantly reduce pseudo-guessing and enhance the validity of multiple-choice assessments in secondary school Economics.
Keywords
Multiple-choice tests, Pseudo-guessing, IRT 3PL, Secondary school Economics, Test validity
How to cite this paper
@article{1714731,
author = {Ossai Elizabeth Ngozika, PhD},
title = {Strategies to Minimize Pseudo-Guessing in Secondary School Economics Multiple-Choice Tests: An IRT (3PL) Study},
journal = {Iconic Research And Engineering Journals},
year = {2026},
volume = {9},
number = {8},
pages = {2053-2058},
issn = {2456-8880},
url = {https://www.irejournals.com/formatedpaper/1714731.pdf},
abstract = {Guessing in multiple-choice assessments threatens the validity of achievement scores, particularly in secondary school Economics where such formats are widely used. This study investigated strategies to minimize pseudo-guessing in SS2 Economics multiple-choice tests using the Three-Parameter Logistic (3PL) model within the Item Response Theory framework. The study adopted an instrumental/measurement research design. The population comprised 2,266 SS2 Economics students in government-owned secondary schools in Nsukka Education Zone, Enugu State, Nigeria. A sample of 340 students was selected using Yamane’s formula and stratified proportionate random sampling. A 40-item multiple-choice Economics test was developed, face and content validated by experts, and pilot tested prior to administration. The instrument was administered as a pre-test and post-test, and data were analyzed using the R statistical environment (mirt package), focusing on the pseudo-guessing parameter (c). Pre-test results revealed c values ranging from 0.18 to 0.25, indicating moderate susceptibility to guessing. Following the implementation of strategies such as improved distractor plausibility and clearer instructions, post-test c values decreased to a range of 0.08 to 0.14. The reduction values (0.09–0.11 across items) demonstrated a consistent decline in guessing probability. The study concludes that targeted item construction and psychometric calibration significantly reduce pseudo-guessing and enhance the validity of multiple-choice assessments in secondary school Economics.},
keywords = {Multiple-choice tests, Pseudo-guessing, IRT 3PL, Secondary school Economics, Test validity},
month = {February},
doi = {https://doi.org/10.64388/IREV9I8-1714731}
}