Knowledge Test Development for Dairy Farmers To Measure Knowledge Level About Scientific Dairy Farming Practices

2019 ◽  
Vol 14 (04) ◽  
Author(s):  
Anupama Jena ◽  
Mahesh Chander ◽  
Sushil K. Sinha
Keyword(s):  
Item Analysis ◽  
Dairy Farming ◽  
Discrimination Index ◽  
Test Reliability ◽  
Knowledge Level ◽  
Farming Practices ◽  
Dairy Farmers ◽  
Knowledge Test ◽  
Level Of Significance ◽  
Difficulty Index

In the present study, a test was developed to measure the knowledge level of dairy farmers about scientific dairy farming. A preliminary set of 87 knowledge items was initially administered to 60 randomly selected dairy farmers for item analysis. The difficulty index and discrimination index was found out, and the items with difficulty index ranging from 30 to 80 and the discrimination index ranging from 0.30 to 0.55 were included in the final format of the knowledge test. A total of 48 items which fulfilled both the criteria were selected for the final format of knowledge test. Reliability of the test through split half method was found out to be 0.386 and the coefficient of correlation value by the test-retest method was 0.452, which was found to be significant at 1% level of significance. Hence, the knowledge test constructed was highly stable, reliable and validated for measuring what it intends to.

scholarly journals Development of Cognitive Learning Scale to Test the Knowledge Level of Veterinary Students on ICT

2022 ◽  
Vol 22 (1) ◽  
pp. 142-145
Author(s):  
Subhransu Mohan Nanda ◽  
Keyword(s):  
Item Difficulty ◽  
Item Analysis ◽  
Cognitive Learning ◽  
Discrimination Index ◽  
Knowledge Level ◽  
Knowledge Test ◽  
Veterinary Students ◽  
Cent Level ◽  
Level Of Significance ◽  
Difficulty Index

In the present study, to test the knowledge level of veterinary students on ICT, one hundred and seventy-one items were initially constructed on the basis of promoting thinking rather than rote memorization. It was designed in a manner that could differentiate the well-informed veterinary students from less informed ones. The scores of the respondents were subjects to item analysis to find the item difficulty index and item discrimination index. In the final selection, a total of 34 items with difficulty index between 30 and 80 and discrimination index ranging from 0.30 to 0.55 were selected. The reliability of the knowledge test developed was tested using split half technique. The coefficient of correlation value in split half test was 0.89, which was found to be significant at 1 per cent level of significance. It was found that, the developed knowledge test scale of Veterinary students on ICT was highly stable and can be used for measurement.

scholarly journals Developing an Intellectual Learning Scale to Test Knowledge Level of Kiwi Growers of Arunachal Pradesh on Package of Practices of Kiwi

2019 ◽  
pp. 1-6
Author(s):  
Bai Koyu ◽  
Rajkumar Josmee Singh ◽  
L. Devarani ◽  
Ram Singh ◽  
L. Hemochandra
Keyword(s):  
Item Difficulty ◽  
Item Analysis ◽  
Discrimination Index ◽  
Knowledge Level ◽  
Arunachal Pradesh ◽  
Item Discrimination ◽  
Knowledge Test ◽  
Difficulty Index

The knowledge test was developed to measure the knowledge level of kiwi growers. In all 36 items were predominantly fabricated on the basis of indorsing rational rather than root memorization and to discriminate the sound knowledgeable kiwi growers from the ailing knowledgeable ones. The scores obtained from sample respondents were imperilled to item analysis, embracing of item difficulty index & item discrimination index. In the ultimate selection, the scale consisted of 15 items with difficulty index ranging from 30-80 and discrimination index ranging from 0.30 to 0.55. Split-Half method was employed to check the reliability of knowledge test being developed and it was found to be 0.711.

scholarly journals Construction of Knowledge Test to Measure Knowledge Level of Apple Growers of Arunachal Pradesh on Package of Practices of Apple

2019 ◽  
pp. 1-6
Author(s):  
Bai Koyu ◽  
Rajkumar Josmee Singh ◽  
L. Devarani ◽  
Ram Singh ◽  
L. Hemochandra
Keyword(s):  
Item Difficulty ◽  
Item Analysis ◽  
Discrimination Index ◽  
Knowledge Level ◽  
Arunachal Pradesh ◽  
Item Discrimination ◽  
Knowledge Test ◽  
Construction Of Knowledge ◽  
Difficulty Index

The knowledge test was developed to measure the knowledge level of apple growers. 32 items were primarily fabricated on the basis of ratifying rational rather than root memorization and to classify the sound erudite apple growers from the ailing erudite ones. The scores obtained from sample respondents were exposed to item analysis, embracing of item difficulty index & item discrimination index. In the ultimate selection, the scale consisted of 22 items with difficulty index ranging from 30-80 and discrimination index ranging from 0.30 to 0.55. To check the reliability of knowledge test being developed Split-Half method was employed and it was found to be 0.701.

scholarly journals Development of a Test to Measure the Knowledge Level of Small Tea Growers on Scientific Tea Cultivation Practices

2020 ◽  
pp. 146-151
Author(s):  
Suman Parasar ◽  
Pabitra Kumar Das ◽  
Indrajit Barman ◽  
Kangkana Borah ◽  
Shabnam Sultana
Keyword(s):  
Discrimination Index ◽  
Knowledge Level ◽  
Final Test ◽  
Knowledge Test ◽  
Biserial Correlation ◽  
Cultivation Practices ◽  
Difficulty Index ◽  
Final Selection ◽  
Scientific Technology ◽  
Selection Of

The present study was conducted to construct and standardize a test to measure the knowledge level of small tea growers on scientific technology on tea cultivation. The major steps followed for developing the test were construction of items, primary and final selection of items through difficulty index, discrimination index and biserial correlation. The final test comprised of 24 objective questions, referred to as items. The procedure adopted in the study can also be followed for developing knowledge test on any other aspect.

scholarly journals Assessment of MCQs in MBBS program in college of Medicine, King Khalid University Abha (Preprint)

2017 ◽  
Author(s):  
Abdulaziz Alamri ◽  
Omer Abdelgadir Elfaki ◽  
Karimeldin A Salih ◽  
Suliman Al Humayed ◽  
Fatmah Mohammed Ahmad Althebat ◽  
...  
Keyword(s):  
Item Analysis ◽  
Analysis Data ◽  
Cross Sectional Study ◽  
Discrimination Index ◽  
Test Reliability ◽  
Multiple Choice Questions ◽  
Cross Sectional ◽  
The Mean ◽  
Difficulty Index

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.

scholarly journals Construction of Knowledge Test on Large Cardamom Cultivation Practices in Arunachal Pradesh

2019 ◽  
pp. 1-6
Author(s):  
Bai Koyu ◽  
Rajkumar Josmee Singh ◽  
L. Devarani ◽  
Ram Singh ◽  
L. Hemochandra
Keyword(s):  
Item Difficulty ◽  
Item Analysis ◽  
Discrimination Index ◽  
Arunachal Pradesh ◽  
Knowledge Test ◽  
Construction Of Knowledge ◽  
Cultivation Practices ◽  
Difficulty Index ◽  
Final Selection ◽  
Large Cardamom

The knowledge test was developed to measure the knowledge of large cardamom growers. All 32 items were primarily fabricated on the basis of indorsing rational rather than root memorization and discriminate the sound knowledgeable large cardamom growers from the ailing knowledgeable ones.The scores from selected respondents were subjected to item analysis, consisting of item difficulty index and item discrimination index.In the final selection, the scale consisted of 17 items with ranging from 30-80 and discrimination index ranging from 0.30 to 0.55. The reliability of knowledge test being developed was tested by using Split-Half method and it was found to be 0.704.

scholarly journals Development of multiple choice question bank in otorhinolaryngology by item analysis: a cross-sectional study

2019 ◽  
Vol 5 (2) ◽  
pp. 449
Author(s):  
Ajeet Kumar Khilnani ◽  
Rekha Thaddanee ◽  
Gurudas Khilnani
Keyword(s):  
Item Analysis ◽  
Multiple Choice ◽  
Cross Sectional Study ◽  
Low Achievers ◽  
Discrimination Index ◽  
High Achievers ◽  
Multiple Choice Questions ◽  
Cross Sectional ◽  
The Mean ◽  
Difficulty Index

<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>

scholarly journals Quality of multiple choice questions in undergraduate pharmacology assessments in a teaching hospital of Kerala, India: an item analysis

2017 ◽  
Vol 6 (6) ◽  
pp. 1265
Author(s):  
Manju K. Nair ◽  
Dawnji S. R.
Keyword(s):  
Item Analysis ◽  
Multiple Choice ◽  
Discrimination Index ◽  
Response Type ◽  
Multiple Choice Questions ◽  
Microsoft Excel ◽  
Best Response ◽  
Difficulty Index ◽  
Upper Third

Background: Carefully constructed, high quality multiple choice questions can serve as effective tools to improve standard of teaching. This item analysis was performed to find the difficulty index, discrimination index and number of non functional distractors in single best response type questions.Methods: 40 single best response type questions with four options, each carrying one mark for the correct response, was taken for item analysis. There was no negative marking. The maximum marks was 40. Based on the scores, the evaluated answer scripts were arranged with the highest score on top and the least score at the bottom. Only the upper third and lower third were included. The response to each item was entered in Microsoft excel 2010. Difficulty index, Discrimination index and number of non functional distractors per item were calculated.Results: 40 multiple choice questions and 120 distractors were analysed in this study. 72.5% items were good with a difficulty index between 30%-70%. 25% items were difficult and 2.5% items were easy. 27.5% items showed excellent discrimination between high scoring and low scoring students. One item had a negative discrimination index (-0.1). There were 9 items with non functional distractors.Conclusions: This study emphasises the need for improving the quality of multiple choice questions. Hence repeated evaluation by item analysis and modification of non functional distractors may be performed to enhance standard of teaching in Pharmacology.

scholarly journals Item analysis as tool to validate multiple choice question bank in pharmacology

2019 ◽  
Vol 8 (9) ◽  
pp. 1999
Author(s):  
Amit P. Date ◽  
Archana S. Borkar ◽  
Rupesh T. Badwaik ◽  
Riaz A. Siddiqui ◽  
Tanaji R. Shende ◽  
...  
Keyword(s):  
Item Analysis ◽  
Multiple Choice ◽  
Incorrect Response ◽  
Cross Sectional Study ◽  
Discrimination Index ◽  
Multiple Choice Questions ◽  
Medical Sciences ◽  
Cross Sectional ◽  
Lower Ability ◽  
Difficulty Index

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.

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