UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
Call for Paper
Volume 11 | Issue 3 | March 2024

JETIREXPLORE- Search Thousands of research papers



WhatsApp Contact
Click Here

Published in:

Volume 5 Issue 7
July-2018
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

7.95 impact factor calculated by Google scholar

Unique Identifier

Published Paper ID:
JETIRA006024


Registration ID:
185409

Page Number

141-145

Share This Article


Jetir RMS

Title

ANALYZING STUDENTS RESPONSES IN MULTIPLE CHOICE QUESTIONS (MCQS) USING ITEM ANALYSIS

Abstract

Assessment is an integral part of any academic programme. It indicates how much learning is done by students from the curriculum. Multiple Choice Questions (MCQs) are commonly used as formative and summative assessment components. Item Analysis is a technique for determining the quality of each individual item in a test. It helps to analyze the learning process in students and improve upon the Item writing techniques.The aim of this study is to evaluate items i.e. Multiple Choice Questions (MCQs) using Item Analysis parameters to (i) analyse the quality of items in a test (ii) examine the relation between difficulty index (p) and discrimination index (DI) (iii) find out the distractor(s). A test having 20 questions was given to students of research scholarsenrolled in various disciplines. A total of 32 responses received from students. Each item i.e. each MCQ wasanalysed for Difficulty Index DIF I or p-value and Discrimination Index (DI) and to find the relationship between them. The Distractor analysis was done to identify the distractors effecting students choices. The difficulty index DIF I or p-value of 12(60%) items lying in the range of(30%-70%) indicated that items were in acceptable range while another6(30%)items were found easy where difficulty index (DIF I >=70%) and 2(10%) items were hard with DI<30%. The internal consistency Kuder-Richardson’sreliability KR21of the test was 0.72and Standard deviation was 3.68. The results showed that 4(20%) items having Discrimination Index DI<0.20 (poor items), 4(20%) items with DI in the range of0.20 to 0.24 (acceptable i.e. marginal items), 8(40%) items were in the range of DI (.25-.35) and remaining 4(20%) items having DI>=0.35 indicated that the items were excellent. The mean difficulty index and discrimination index were found as 59.72% and 0.25 respectively. As majority of items were in excellent and acceptable range, indicates that test was well designed and students scored good scores. This helps faculty to analyze the students knowledge and understanding about the curriculum.

Key Words

DIF I – Difficulty Index, DI – Discrimination Index, MCQs – Multiple Choice Questions, Distractor Analysis, NFD – Non-Functional Distractor, FD – Functional Distractor

Cite This Article

"ANALYZING STUDENTS RESPONSES IN MULTIPLE CHOICE QUESTIONS (MCQS) USING ITEM ANALYSIS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 7, page no.141-145, July-2018, Available :http://www.jetir.org/papers/JETIRA006024.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"ANALYZING STUDENTS RESPONSES IN MULTIPLE CHOICE QUESTIONS (MCQS) USING ITEM ANALYSIS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 7, page no. pp141-145, July-2018, Available at : http://www.jetir.org/papers/JETIRA006024.pdf

Publication Details

Published Paper ID: JETIRA006024
Registration ID: 185409
Published In: Volume 5 | Issue 7 | Year July-2018
DOI (Digital Object Identifier):
Page No: 141-145
Country: -, -, - .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


Preview This Article


Downlaod

Click here for Article Preview

Download PDF

Downloads

0002988

Print This Page

Current Call For Paper

Jetir RMS