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This document gives detailed information about quiz item analysis limitations and calculations in Classic Quizzes.
Canvas provides quiz item analysis statistics for quiz questions in Canvas. The item analysis comma separated values (CSV) file download will help instructors and course designers gauge the effectiveness of their quiz questions. Quiz analysis estimates reliability, difficulty, and discrimination for multiple choice and true/false questions.
Item analysis may not generate results within specific quizzes. Here are a few limitations to consider within analysis reports.
Canvas Quiz item analysis generates scores based on Cronbach’s alpha. Cronbach's alpha measures internal consistency of how closely related a set of items are as a group. Canvas generates an alpha score so long as there are two or more questions in the quiz and the test variance is greater than zero. A variance greater than zero implies two or more submissions produce different scores.
Note: To maintain optimum course performance in the Canvas interface, the maximum values for calculation are 1000 submissions or 100 questions. For instance, a quiz with 200 questions will not generate quiz statistics. However, a quiz with 75 questions will generate quiz statistics until the quiz has reached 1000 attempts.
Results greater than these maximum values can be viewed by downloading the Student Analysis report and viewing the CSV file.
Reliability
Reliability is a measure of the test's internal consistency, meaning if several questions are designed to measure the same information, the test-taker will answer them in a similar way. For example, if a test is given to measure enjoyment of ice cream, students who like ice cream should agree with statements such as "I like ice cream" and "I've enjoyed eating ice cream in the past". Those students should also disagree with statements such as "I hate ice cream".
Difficulty
The difficulty index (also known as a p-value) shows how hard it is to answer the question correctly. The index is computed as the proportion of students who answered correctly. Proportions range between 0 and 1. Canvas makes this calculation with the point biserial.
Point Biserial
A point biserial is a correlation coefficient that relates observed item responses and is especially used when one set of data is dichotomous, meaning it can take multiple values based on correct and incorrect responses. In addition to the point biserial of the correct answer, the same calculation is created for the distractors/incorrect answers (also known as a distractor efficiency). Ideally, all of the question's incorrect answers should be equally appealing to the students who miss the question. Scores for this range from -1 to 1.
Discrimination
Quiz statistics for True/False and Multiple Choice quiz questions include an item discrimination index, which attempts to look at a spread of scores and reflect differences in student achievement. This metric provides a measure of how well a single question can tell the difference (or discriminate) between students who do well on an exam and those who do not. It divides students into three groups based on their score on the whole quiz and displays those groups by who answered the question correctly. Student groups are generally divided as the top 27%, the middle 46%, and the bottom 27%. Ideally, students who did well on the exam should get the question right. If students do well on the overall exam but not on the question, the question itself may need to be revised.
Lower discrimination scores are scored +0.24 or lower; good scores are +0.25 or higher. An ideal discrimination index shows students who scored higher on the quiz getting the quiz question right, students who scored lower on the quiz getting the quiz question wrong, and students in the middle range on either side. A discrimination index of zero shows all students getting the quiz question right or wrong.
The CSV download also provides the following calculations and counts:
Users with permission to read SIS data in the course can also view the sis_id column in the CSV download.
Last update: 2018-10-06
This resource can also be accessed from the following Canvas Guides:
Note: You can only embed guides in Canvas courses. Embedding on other sites is not supported.
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