At the end of the Item Analysis report, test items are listed according their degrees of difficulty (easy, medium, hard) and discrimination (good, fair, poor). These distributions provide a quick overview of the test, and can be used to identify items which are not performing well and which can perhaps be improved or discarded.
The quality of individual items is assessed by comparing students’ item responses to their total test scores. Following is a description of the various statistics provided on a ScorePak® item analysis report.
“The Relationship of the Reliability of Multiple-Choice Test to the Distribution of Item Difficulties,” Psychometrika, 1952, 18, 181-194.) ScorePak® arbitrarily classifies item difficulty as “easy” if the index is 85% or above; “moderate” if it is between 51 and 84%; and “hard” if it is 50% or below.
Separate item analyses can be requested for each raw score 1 created during a given ScorePak® run. A basic assumption made by ScorePak® is that the test under analysis is composed of items measuring a single subject area or underlying ability. The quality of the test as a whole is assessed by estimating its “internal consistency.”
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.
Steps in item analysis (relative criteria tests)award of a score to each student.identification of groups: high and low. ... calculation of the discrimination index of a question. ... Award of a score to each student. ... Ranking in order of merit. ... Identification of high and low groups. ... Difficulty index. ... Calculation.More items...
Within psychometrics, Item analysis refers to statistical methods used for selecting items for inclusion in a psychological test. The concept goes back at least to Guildford (1936). The process of item analysis varies depending on the psychometric model.
Item analyses are intended to assess and improve the reliability of your tests. If test reliability is low, test validity will necessarily also be low. This is the ultimate reason you do item analyses—to improve the validity of a test by improving its reliability.
Item analysis is essential in improving items which will be used again in later tests; it can also be used to eliminate misleading items in a test. The study focused on item and test quality and explored the relationship between difficulty index (p-value) and discrimination index (DI) with distractor efficiency (DE).
Selection items (or selected response items) are test items on which the examinee selects one of a set of choices, rather than generating an original response.
An item analysis is a statistical method used to determine the quality of a test by looking at each individual item or question and determining if they are sound. It helps identify individual items or questions that are not good questions and whether or not they should be discarded, kept, or revised.
Types of Selection Tests – Classified into 5 TypesThey are: (i) Aptitude tests;(a) Intelligence Tests: ... (c) Psychomotor Tests: ... These tests are classified into: ... (a) Job Knowledge Test: ... (a) Group Discussion: ... (a) Thematic Apperception Test (TAT): ... (b) Ink-Blot Test:More items...
Item Analysis provides statistics on overall test performance and on individual test questions. These data help faculty recognize questions that might not adequately discriminate between students who understand the material and those who do not.
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. Item analysis is especially valuable in improving items which will be used again in later tests, but it can also be used to eliminate ambiguous or misleading items in a single test administration. In addition, item analysis is valuable for increasing instructors’ skills in test construction, and identifying specific areas of course content which need greater emphasis or clarity. Separate item analyses can be requested for each raw score 1 created during a given ScorePak® run.
A basic assumption made by ScorePak® is that the test under analysis is composed of items measuring a single subject area or underlying ability. The quality of the test as a whole is assessed by estimating its “internal consistency.” The quality of individual items is assessed by comparing students’ item responses to their total test scores.
The item discrimination index provided by ScorePak® is a Pearson Product Moment correlation 2 between student responses to a particular item and total scores on all other items on the test. This index is the equivalent of a point-biserial coefficient in this application. It provides an estimate of the degree to which an individual item is measuring the same thing as the rest of the items.
A general rule of thumb to predict the amount of change which can be expected in individual test scores is to multiply the standard error of measurement by 1.5. Only rarely would one expect a student’s score to increase or decrease by more than that amount between two such similar tests. The smaller the standard error of measurement, the more accurate the measurement provided by the test.
The mean total test score (minus that item) is shown for students who selected each of the possible response alternatives . This information should be looked at in conjunction with the discrimination index; higher total test scores should be obtained by students choosing the correct, or most highly weighted alternative. Incorrect alternatives with relatively high means should be examined to determine why “better” students chose that particular alternative.
This is the question number taken from the student answer sheet, and the ScorePak® Key Sheet. Up to 150 items can be scored on the Standard Answer Sheet.
ScorePak® arbitrarily classifies item difficulty as “easy” if the index is 85% or above; “moderate” if it is between 51 and 84%; and “hard” if it is 50% or below.