scholarly journals Item Analysis of Multiple Choice Questions at the Department of Paediatrics, Arabian Gulf University, Manama, Bahrain

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):  
Ajeet Kumar Khilnani ◽  
Rekha Thaddanee ◽  
Gurudas Khilnani

<p class="abstract"><strong>Background:</strong> Multiple choice questions (MCQs) are routinely used for formative and summative assessment in medical education. Item analysis is a process of post validation of MCQ tests, whereby items are analyzed for difficulty index, discrimination index and distractor efficiency, to obtain a range of items of varying difficulty and discrimination indices. This study was done to understand the process of item analysis and analyze MCQ test so that a valid and reliable MCQ bank in otorhinolaryngology is developed.</p><p class="abstract"><strong>Methods:</strong> 158 students of 7<sup>th</sup> Semester were given an 8 item MCQ test. Based on the marks achieved, the high achievers (top 33%, 52 students) and low achievers (bottom 33%, 52 students) were included in the study. The responses were tabulated in Microsoft Excel Sheet and analyzed for difficulty index, discrimination index and distractor efficiency.  </p><p class="abstract"><strong>Results:</strong> The mean (SD) difficulty index (Diff-I) of 8 item test was 61.41% (11.81%). 5 items had a very good difficulty index (41% to 60%), while 3 items were easy (Diff-I &gt;60%). There was no item with Diff-I &lt;30%, i.e. a difficult item, in this test. The mean (SD) discrimination index (DI) of the test was 0.48 (0.15), and all items had very good discrimination indices of more than 0.25. Out of 24 distractors, 6 (25%) were non-functional distractors (NFDs). The mean (SD) distractor efficiency (DE) of the test was 74.62% (23.79%).</p><p class="abstract"><strong>Conclusions:</strong> Item analysis should be an integral and regular activity in each department so that a valid and reliable MCQ question bank is developed.</p>


Author(s):  
Amit P. Date ◽  
Archana S. Borkar ◽  
Rupesh T. Badwaik ◽  
Riaz A. Siddiqui ◽  
Tanaji R. Shende ◽  
...  

Background: Multiple choice questions (MCQs) are a common method for formative and summative assessment of medical students. Item analysis enables identifying good MCQs based on difficulty index (DIF I), discrimination index (DI), distracter efficiency (DE). The objective of this study was to assess the quality of MCQs currently in use in pharmacology by item analysis and develop a MCQ bank with quality items.Methods: This cross-sectional study was conducted in 148 second year MBBS students at NKP Salve institute of medical sciences from January 2018 to August 2018. Forty MCQs twenty each from the two term examination of pharmacology were taken for item analysis A correct response to an item was awarded one mark and each incorrect response was awarded zero. Each item was analyzed using Microsoft excel sheet for three parameters such as DIF I, DI, and DE.Results: In present study mean and standard deviation (SD) for Difficulty index (%) Discrimination index (%) and Distractor efficiency (%) were 64.54±19.63, 0.26±0.16 and 66.54±34.59 respectively. Out of 40 items large number of MCQs has acceptable level of DIF (70%) and good in discriminating higher and lower ability students DI (77.5%). Distractor efficiency related to presence of zero or 1 non-functional distrator (NFD) is 80%.Conclusions: The study showed that item analysis is a valid tool to identify quality items which regularly incorporated can help to develop a very useful, valid and a reliable question bank.


2019 ◽  
Author(s):  
Assad Ali Rezigalla ◽  
Elwathiq Khalid Ibrahim ◽  
Amar Babiker ElHussein

Abstract Background Distractor efficiency of multiple choice item responses is a component of item analysis used by the examiners to to evaluate the credibility and functionality of the distractors.Objective To evaluate the impact of functionality (efficiency) of the distractors on difficulty and discrimination indices.Methods A cross-sectional study in which standard item analysis of an 80-item test consisted of A type MCQs was performed. Correlation and significance of variance among Difficulty index (DIF), discrimination index (DI), and distractor Efficiency (DE) were measured.Results There is a significant moderate positive correlation between difficulty index and distractor efficiency, which means there is a tendency for high difficulty index go with high distractor efficiency (and vice versa). A weak positive correlation between distractor efficiency and discrimination index.Conclusions Non-functional distractor can reduce discrimination power of multiple choice questions. More training and effort for construction of plausible options of MCQ items is essential for the validity and reliability of the tests.


2017 ◽  
Author(s):  
Abdulaziz Alamri ◽  
Omer Abdelgadir Elfaki ◽  
Karimeldin A Salih ◽  
Suliman Al Humayed ◽  
Fatmah Mohammed Ahmad Althebat ◽  
...  

BACKGROUND Multiple choice questions represent one of the commonest methods of assessment in medical education. They believed to be reliable and efficient. Their quality depends on good item construction. Item analysis is used to assess their quality by computing difficulty index, discrimination index, distractor efficiency and test reliability. OBJECTIVE The aim of this study was to evaluate the quality of MCQs used in the college of medicine, King Khalid University, Saudi Arabia. METHODS Design: Cross sectional Study design Setting, Materials and methods Item analysis data of 21 MCQs exams were collected. Values for difficulty index, discrimination index, distractor efficiency and reliability coefficient were entered in MS excel 2010. Descriptive statistic parameters were computed. RESULTS Twenty one tests were analyzed. Overall, 7% of the items among all the tests were difficult, 35% were easy and 58% were acceptable. The mean difficulty of all the tests was in the acceptable range of 0.3-0.85. Items with acceptable discrimination index among all tests were 39%-98%. Negatively discriminating items were identified in all tests except one. All distractors were functioning in 5%-48%. The mean functioning distractors ranged from 0.77 to 2.25. The KR-20 scores lie between 0.47 and 0.97 CONCLUSIONS Overall, the quality of the items and tests was found to be acceptable. Some items were identified to be problematic and need to be revised. The quality of few tests of specific courses was questionable. These tests need to be revised and steps taken to improve this situation.


2021 ◽  
Vol 71 (4) ◽  
pp. 1308-10
Author(s):  
Musarat Ramzan ◽  
Khola Waheed Khan ◽  
Saana Bibi ◽  
Shezadi Sabah Imran

Objective: To perform post analysis of multiple-choice questions given in the 2nd term and send up examinations of the years 2016 to 2018, to establish relationship between difficulty (DF) and discrimination indices (DI) and to find out significant mean difference between the two. Study Design: Cross sectional study. Place and Duration of Study: Community Medicine Department, Wah Medical College, Wah, from Nov 2018 to Mar 2019. Methodology: A total of 390 Multiple-Choice Question of second term and send-up were taken for the study from the year 2016, 2017 and 2018. The response sheets were assessed by Optical Machine Reader (OMR) and the level of difficulty, power of discrimination and reliability were obtained. The data was entered in SPSS version 22. Results: A total of 315 test items were included. Results of the study showed that the reliability (KR20) for all the examined items was in the acceptable range i.e. ≥0.7 and there was no association was found between difficulty index and year p=0.310. The mean difficulty index was found to be 0.48 ± 0.22 and discrimination index as 0.24 ± 0.14. Conclusion: The analysis of 390 test items showed that most of the questions were acceptable in terms of difficulty and discrimination. There is still a need to modify and improve the testing ability of the MCQs with negative discrimination and higher difficulty index.


2021 ◽  
Vol 20 (2) ◽  
Author(s):  
Siti Khadijah Adam ◽  
Faridah Idris ◽  
Puteri Shanaz Jahn Kassim ◽  
Nor Fadhlina Zakaria ◽  
Rafidah Hod

Background: Multiple-choice questions (MCQs) are used for measuring the student’s progress, and they should be analyzed properly to guarantee the item’s appropriateness. The analysis usually determines three indices of an item; difficulty or passing index (PI), discrimination index (DI), and distractor efficiency (DE). Objectives: This study was aimed to analyze the multiple-choice questions in the preclinical and clinical examinations with different numbers of options in medical program of Universiti Putra Malaysia. Methods: This is a cross-sectional study. Forty multiple-choice questions with four options from the preclinical examination and 80 multiple-choice questions with five options from the clinical examination in 2017 and 2018 were analyzed using optical mark recognition machine and Ms. Excel. The parameters included PI, DI, and DE. Results: The average difficulty level of multiple-choice questions for preclinical and clinical phase examinations were similar in 2017 and 2018 that were considered ‘acceptable’ and ‘ideal’ ranged from 0.55 to 0.60, respectively. The average DIs were similar in all examinations that were considered ‘good’ (ranged from 0.25 to 0.31) except in 2018 clinical phase examination that showed ‘poor’ items (DI = 0.20 ± 0.11). The questions for preclinical phase showed an increase in the number of ‘excellent’ and ‘good’ items in 2018 from 37.5% to 70.0%. There was an increase of 10.0% for preclinical phase, and 6.25% for clinical phase, in the number of items with no non-functioning distractors in 2018. Among all, preclinical multiple-choice questions in 2018 showed the highest mean of DE (71.67%). Conclusions: Our findings suggested that there was an improvement in the questions from preclinical phase while more training on questions preparation and continuous feedback should be given to clinical phase teachers. A higher number of options did not affect the level of difficulty of a question; however, the discrimination power and distractors efficiency might differ.


2017 ◽  
Vol 7 (1) ◽  
pp. 2-7
Author(s):  
Md Ahsan Habib ◽  
Humayun Kabir Talukder ◽  
Md Mahbubur Rahman ◽  
Shahnila Ferdousi

Multiple choice questions (MCQs) have considerable role in the preclinical medical assessment, both formative as well as summative. This cross sectional descriptive study was conducted to observe the quality of MC items (completion type) of anatomy, biochemistry and physiology used in preclinical undergraduate medical examinations of 2012 and 2013 of a public university of Bangladesh. Each MC item had a stem and 5 options, and 1200 options were analyzed for difficulty and discrimination indices. Total 556 options were false statements (distracters) and were analyzed to observe their effectiveness as distracter. The study revealed that 18.67% of options were with appropriate difficulty (0.660.80). Highest frequency (43.5%) of difficulty indices was in easy class interval (0.911). Over all frequencies of items of three subjects in the ascending order were difficult, appropriate, marginal and easy as per their difficulty indices. Satisfactory or better discrimination indices (=0.20) were observed in 29.33% options. The mean difficulty and discrimination indices observed were respectively 0.82±0.18 (95% confidence interval [CI] 0.81 to 0.83) and 0.13±0.14 (95% CI 0.122 to 0.138). Out of the options, 6.75% had negative discrimination indices. Items with difficulty index around 0.60 had maximum discriminatory power (up to 0.68) and more difficult as well as easy items had less discriminatory ability. Out of the distracters 83.45% were observed effective and the mean effectiveness was 22.3±18.7% (95% CI 20.75% to 23.85%). The study recommended using the method and findings to improve the quality of the items leading to development of a standard Question Bank.Bangladesh Journal of Medical Education Vol.7(1) 2016: 2-7


2020 ◽  
Vol 10 (2) ◽  
Author(s):  
Imtiaz Uddin ◽  
Iftikhar Uddin ◽  
Izaz Ur Rehman ◽  
Muhammad Siyar ◽  
Usman Mehboob

Background: MCQs type assessment in medical education is replacing old theory style. There are concerns regarding the quality of the Multiple Choice Questions.Objectives: To determine the quality of Multiple Choice Questions by item analysis. Material and Methods: Study was a cross sectional descriptive .Fifty Multiple Choice Questions in the final internal evaluation exams in 2015 of Pharmacology at Bacha khan Medical College were analyzed. The quality of each Multiple Choice Questions item was assessed by the Difficulty index (Dif.I), Discriminative Index (D.I) and Distracter Efficiency (D.E).Results: Multiple Choice Questions that were of moderate difficulty were 66%. Easy were 4% and high difficulty were 30%.Reasons for high difficult Multiple Choice Questions were analyzed as Item Writing Flaws 41%, Irreverent Difficulty 36% and C2 level 23%. Discrimination Index shows that majority of MCQs were of Excellent Level (DI greater than 0.25) i.e 52 , Good 32% . (DI=2.15-0.25), Poor 16%. MCQs Distracter Effectiveness (DE)= 4, 3,2,1 were 52%, 34%, 14%, and 0% respectively. Conclusion: Item analysis gives us different parameters with reasons to recheck MCQ pool and teaching programme. High proportions of difficult and sizable amount of poor discriminative indices MCQs were the finding in this study and need to be resolved


2021 ◽  
pp. 9-10
Author(s):  
Bhoomika R. Chauhan ◽  
Jayesh Vaza ◽  
Girish R. Chauhan ◽  
Pradip R. Chauhan

Multiple choice questions are nowadays used in competitive examination and formative assessment to assess the student's eligibility and certification.Item analysis is the process of collecting,summarizing and using information from students' responses to assess the quality of test items.Goal of the study was to identify the relationship between the item difficulty index and item discriminating index in medical student's assessment. 400 final year medical students from various medical colleges responded 200 items constructed for the study.The responses were assessed and analysed for item difficulty index and item discriminating power. Item difficulty index an item discriminating power were analysed by statical methods to identify correlation.The discriminating power of the items with difficulty index in 40%-50% was the highest. Summary and Conclusion:Items with good difficulty index in range of 30%-70% are good discriminator.


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