Multiple choice questions: Optimal number of options

Author(s):  
Avinash Supe ◽  
Rashmi Vyas
2018 ◽  
Vol 18 (1) ◽  
pp. 68 ◽  
Author(s):  
Deena Kheyami ◽  
Ahmed Jaradat ◽  
Tareq Al-Shibani ◽  
Fuad A. Ali

Objectives: The current study aimed to carry out a post-validation item analysis of multiple choice questions (MCQs) in medical examinations in order to evaluate correlations between item difficulty, item discrimination and distraction effectiveness so as to determine whether questions should be included, modified or discarded. In addition, the optimal number of options per MCQ was analysed. Methods: This cross-sectional study was performed in the Department of Paediatrics, Arabian Gulf University, Manama, Bahrain. A total of 800 MCQs and 4,000 distractors were analysed between November 2013 and June 2016. Results: The mean difficulty index ranged from 36.70–73.14%. The mean discrimination index ranged from 0.20–0.34. The mean distractor efficiency ranged from 66.50–90.00%. Of the items, 48.4%, 35.3%, 11.4%, 3.9% and 1.1% had zero, one, two, three and four nonfunctional distractors (NFDs), respectively. Using three or four rather than five options in each MCQ resulted in 95% or 83.6% of items having zero NFDs, respectively. The distractor efficiency was 91.87%, 85.83% and 64.13% for difficult, acceptable and easy items, respectively (P <0.005). Distractor efficiency was 83.33%, 83.24% and 77.56% for items with excellent, acceptable and poor discrimination, respectively (P <0.005). The average Kuder-Richardson formula 20 reliability coefficient was 0.76. Conclusion: A considerable number of the MCQ items were within acceptable ranges. However, some items needed to be discarded or revised. Using three or four rather than five options in MCQs is recommended to reduce the number of NFDs and improve the overall quality of the examination.


Author(s):  
Adam J. Berinsky ◽  
Michele F. Margolis ◽  
Michael W. Sances ◽  
Christopher Warshaw

Abstract Inattentive respondents introduce noise into data sets, weakening correlations between items and increasing the likelihood of null findings. “Screeners” have been proposed as a way to identify inattentive respondents, but questions remain regarding their implementation. First, what is the optimal number of Screeners for identifying inattentive respondents? Second, what types of Screener questions best capture inattention? In this paper, we address both of these questions. Using item-response theory to aggregate individual Screeners we find that four Screeners are sufficient to identify inattentive respondents. Moreover, two grid and two multiple choice questions work well. Our findings have relevance for applied survey research in political science and other disciplines. Most importantly, our recommendations enable the standardization of Screeners on future surveys.


Informatica ◽  
2017 ◽  
Vol 28 (4) ◽  
pp. 609-628
Author(s):  
Ali Fahmi ◽  
Cengiz Kahraman

2017 ◽  
Vol 32 (4) ◽  
pp. 1-17 ◽  
Author(s):  
Dianne Massoudi ◽  
SzeKee Koh ◽  
Phillip J. Hancock ◽  
Lucia Fung

ABSTRACT In this paper we investigate the effectiveness of an online learning resource for introductory financial accounting students using a suite of online multiple choice questions (MCQ) for summative and formative purposes. We found that the availability and use of an online resource resulted in improved examination performance for those students who actively used the online learning resource. Further, we found a positive relationship between formative MCQ and unit content related to challenging financial accounting concepts. However, better examination performance was also linked to other factors, such as prior academic performance, tutorial participation, and demographics, including gender and attending university as an international student. JEL Classifications: I20; M41.


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