Journal
INTERACTIVE TECHNOLOGY AND SMART EDUCATION
Volume 16, Issue 1, Pages 59-73Publisher
EMERALD GROUP PUBLISHING LTD
DOI: 10.1108/ITSE-09-2018-0071
Keywords
Assessment; Constructed-response questions; MCQs; Multiple Choice; Objective testing
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Purpose This paper aims to examine whether multiple choice questions (MCQs) can be answered correctly without knowing the answer and whether constructed response questions (CRQs) offer more reliable assessment. Design/methodology/approach The paper presents a critical review of existing research on MCQs, then reports on an experimental study where two objective tests (using MCQs and CRQs) were set for an introductory undergraduate course. To maximise completion, tests were kept short; consequently, differences between individuals' scores across both tests are examined rather than overall averages and pass rates. Findings Most students who excelled in the MCQ test did not do so in the CRQ test. Students could do well without necessarily understanding the principles being tested. Research limitations/implications - Conclusions are limited by the small number of questions in each test and by delivery of the tests at different times. This meant that statistical average data would be too coarse to use, and that some students took one test but not the other. Conclusions concerning CRQs are limited to disciplines where numerical answers or short and constrained text answers are appropriate. Practical implications - MCQs, while useful in formative assessment, are best avoided for summative assessments. Where appropriate, CRQs should be used instead. Social implications - MCQs are commonplace as summative assessments in education and training. Increasing the use of CRQs in place ofMCQs should increase the reliability of tests, including those administered in safety- critical areas. Originality/value - While others have recommended that MCQs should not be used (Hinchliffe 2014, Srivastava et al., 2004) because they are vulnerable to guessing, this paper presents an experimental study designed to demonstrate whether this hypothesis is correct.
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