ARDHIAN SUSENO CHOIRUL RISA PRADANA P.

Slides:



Advertisements
Similar presentations
Item Analysis.
Advertisements

Test Development.
FACULTY DEVELOPMENT PROFESSIONAL SERIES OFFICE OF MEDICAL EDUCATION TULANE UNIVERSITY SCHOOL OF MEDICINE Using Statistics to Evaluate Multiple Choice.
Rebecca Sleeper July  Statistical  Analysis of test taker performance on specific exam items  Qualitative  Evaluation of adherence to optimal.
Topic 4B Test Construction.
Issues of Reliability, Validity and Item Analysis in Classroom Assessment by Professor Stafford A. Griffith Jamaica Teachers Association Education Conference.
Reliability for Teachers Kansas State Department of Education ASSESSMENT LITERACY PROJECT1 Reliability = Consistency.
Using Test Item Analysis to Improve Students’ Assessment
Item Analysis: A Crash Course Lou Ann Cooper, PhD Master Educator Fellowship Program January 10, 2008.
Test Construction Processes 1- Determining the function and the form 2- Planning( Content: table of specification) 3- Preparing( Knowledge and experience)
Item Analysis What makes a question good??? Answer options?
Chapter 8 Developing Written Tests and Surveys Physical Fitness Knowledge.
Item Analysis Ursula Waln, Director of Student Learning Assessment
Lesson Seven Item Analysis. Contents Item Analysis Item Analysis Item difficulty (item facility) Item difficulty (item facility) Item difficulty Item.
Item Response Theory. Shortcomings of Classical True Score Model Sample dependence Limitation to the specific test situation. Dependence on the parallel.
Item Analysis Prof. Trevor Gibbs. Item Analysis After you have set your assessment: How can you be sure that the test items are appropriate?—Not too easy.
Lesson Nine Item Analysis.
Multiple Choice Test Item Analysis Facilitator: Sophia Scott.
ANALYZING AND USING TEST ITEM DATA
Part #3 © 2014 Rollant Concepts, Inc.2 Assembling a Test #
Copyright © 2012 Wolters Kluwer Health | Lippincott Williams & Wilkins Chapter 14 Measurement and Data Quality.
Chapter 7 Item Analysis In constructing a new test (or shortening or lengthening an existing one), the final set of items is usually identified through.
 Closing the loop: Providing test developers with performance level descriptors so standard setters can do their job Amanda A. Wolkowitz Alpine Testing.
Group 2: 1. Miss. Duong Sochivy 2. Miss. Im Samphy 3. Miss. Lay Sreyleap 4. Miss. Seng Puthy 1 ROYAL UNIVERSITY OF PHNOM PENH INSTITUTE OF FOREIGN LANGUAGES.
NRTs and CRTs Group members: Camila, Ariel, Annie, William.
Research Methodology Lecture No :24. Recap Lecture In the last lecture we discussed about: Frequencies Bar charts and pie charts Histogram Stem and leaf.
How to Perform Simple Manual Item Analysis Dr. Belal Hijji, RN, PhD January 18, 2012.
Grading and Analysis Report For Clinical Portfolio 1.
RELIABILITY AND VALIDITY OF ASSESSMENT
Copyright © 2008 Wolters Kluwer Health | Lippincott Williams & Wilkins Chapter 17 Assessing Measurement Quality in Quantitative Studies.
Validity and Item Analysis Chapter 4.  Concerns what instrument measures and how well it does so  Not something instrument “has” or “does not have”
Introduction to Item Analysis Objectives: To begin to understand how to identify items that should be improved or eliminated.
Correlation They go together like salt and pepper… like oil and vinegar… like bread and butter… etc.
Measurement MANA 4328 Dr. Jeanne Michalski
©2011 Cengage Learning. All Rights Reserved. May not be scanned, copied or duplicated, or posted to a publicly accessible website, in whole or in part.
Reliability performance on language tests is also affected by factors other than communicative language ability. (1) test method facets They are systematic.
Tests and Measurements
Chapter 6 - Standardized Measurement and Assessment
TEST SCORES INTERPRETATION - is a process of assigning meaning and usefulness to the scores obtained from classroom test. - This is necessary because.
Dan Thompson Oklahoma State University Center for Health Science Evaluating Assessments: Utilizing ExamSoft’s item-analysis to better understand student.
Norm Referenced Your score can be compared with others 75 th Percentile Normed.
Copyright © Springer Publishing Company, LLC. All Rights Reserved. DEVELOPING AND USING TESTS – Chapter 11 –
Items analysis Introduction Items can adopt different formats and assess cognitive variables (skills, performance, etc.) where there are right and.
Reliability Analysis.
Using Data to Drive Decision Making:
Concept of Test Validity
Using EduStat© Software
Data Analysis and Standard Setting
Classroom Analytics.
Item Analysis: Classical and Beyond
Reliability & Validity
UMDNJ-New Jersey Medical School
Human Resource Management By Dr. Debashish Sengupta
Partial Credit Scoring for Technology Enhanced Items
Calculating Reliability of Quantitative Measures
INTRODUCTORY STATISTICS FOR CRIMINAL JUSTICE Test Review: Ch. 7-9
Test Development Test conceptualization Test construction Test tryout
PSY 614 Instructor: Emily Bullock, Ph.D.
Classroom Assessment Ways to improve tests.
Using statistics to evaluate your test Gerard Seinhorst
Reliability Analysis.
Lies, Damned Lies & Statistical Analysis for Language Testing
Analyzing test data using Excel Gerard Seinhorst
How can one measure intelligence?
Chapter 10: Intelligence & Testing
Item Analysis: Classical and Beyond
Chapter 8 VALIDITY AND RELIABILITY
EDUC 2130 Quiz #10 W. Huitt.
Item Analysis: Classical and Beyond
Tests are given for 4 primary reasons.
Presentation transcript:

ARDHIAN SUSENO CHOIRUL RISA PRADANA P. ITEM ANALYSIS ARDHIAN SUSENO CHOIRUL RISA PRADANA P.

ITEM ANALYSIS is a process which examines student responses to individual test items (questions) in order to assess the quality of those items and of the test as a whole SCOREPAK®

PURPOSE To improve items which will be used again in later tests. To eliminate ambiguous items in a single test administration. To increase instructors' skills in test construction. To identify specific areas of course content which need greater emphasis or clarity.

Method 3. Item validity (point biserial method) ITEM DIFFICULTY ITEM DISCRIMINATIO ITEM CHARACTERISTIC CURVE 3. Item validity (point biserial method) 4. Effectiveness of distractors

I. ITEM DIFFICULTY item difficulty is determined by the number of people who answer a particular test item correctly (p).  For example, if the first question on a test was answered correctly by 76% of the class, then the difficulty level (p or percentage passing) for that question is p = .76. If the second question on a test was answered correctly by only 48% of the class, then the difficulty level for that question is p = .48. The higher the percentage of people who answer correctly, the easier the item, so that a difficulty level of .48 indicates that question two was more difficult than question one, which had a difficulty level of .76.

Method of Item Difficulty Method for Dichotomously Scored Item Method for Polytomously Scored Item Grouping Method

a). Method for Dichotomously Scored Item Method for Dichotomously Scored Items p is the difficulty of a certain item. R is the number of examinees who get that item correct. N is the total number of examinees.

Example 1 There are 80 high school students attending a science achievement test, and 61 students pass item 1. Please calculate the difficulty for item 1. Answer : 0.7

b). Method for Polytomously Scored Items , the mean of total examinees’ scores on one item , the perfect scores of that item

Example 2 The perfect scores of one open- ended item is 20 points, the average score of total examinees on this item is 11 points. What is the item difficulty? Answer : 0.55

c). Grouping Method (Use of Extreme Groups) Upper (U) and Lower (L) Criterion groups are selected from the extremes of distribution of test scores or job ratings is the proportion for examinees of upper group who get the item correct. is the proportion for examinees of lower group who get the item correct.

Example 3 There are 370 examinees attending a language test. Known that 64 examinees of 27% upper extreme group pass item 5, and 33 examinees of 27% lower extreme group pass the same item. Please compute the difficulty of item 5. Answer : 0.49

II. ITEM DISCRIMINATION Item discrimination refers to the degree to which an item differentiates correctly among test takers in the behavior that the test is designed to measure. item discrimination determines whether those who did well on the entire test did well on a particular item.

Method of Item Discrimination a). Index of Discrimination D = pH - pL (7.5) We need to set one or two cutting scores to divide the examinees into upper scoring group and lower scoring group. pH is the proportion in the upper group who answer the item correctly and pL is the proportion in the lower group who answer the item correctly. Values of D may range from -1.00 to 1.00.

ILLUSTRATION BY GGS INFORMATION SERVICES. CENGAGE LEARNING, GALE.

Another example 50 Examinees’ Test Data on 8-Item Scale About Job Stress.

Question: There are 140 students attending a world history test. (1) If we use the ratio 27% to determine the upper and lower group, then how many examinees are there in the upper and lower group separately? (2)If 18 examinees in upper group answer item 5 correctly, and 6 examinees in lower group answer it correctly, then calculate the discrimination index for item 5.

ITEM VALIDITY :POINT-BISERIAL METHOD ILLUSTRATION BY GGS INFORMATION SERVICES. CENGAGE LEARNING, GALE.

Another way to determine the discriminability of an item is to determine the correlation coefficient between performance on an item and performance on a test, or the tendency of students selecting the correct answer to have high overall scores. POINT-BISERIAL METHOD

Distractor (Incorrect Alternatives) Analyzing the distractors (e.i., incorrect alternatives) is useful in determining the relative usefulness of the decoys in each item. Items should be modified if students consistently fail to select certain multiple choice alternatives. The alternatives are probably totally implausible and therefore of little use as decoys in multiple choice items. A discrimination index or discrimination coefficient should be obtained for each option in order to determine each distractor's usefulness .