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Table of Contents:
Introduction
What is the impact of Learning Analytics Beta version?
We have released Learning Analytics in Beta to gain targeted experience within data usage in combination with all the different test types that are possible to create within Inspera Assessment. There are also a few notable items in the current version:
 Older tests can have missing or less accurate calculation of time spent per question, this and derived values could therefore be wrong.
 The usage of advanced scoring rules, such as negative marks, marks per alternative, threshold values on questions, and bands and criteria, can affect the values in such a way that they can be hard to interpret.
 Questions with manual scoring, can be left unmarked by a marker. In these cases, values as average score, Pvalue and correlation will not be correct.
The best approach for solving the abovelisted issues, is something we want to investigate further before a general release.
Question analytics
To access the Analytics: In the menu header, hover over the Author dropdown and click Questions. In the Questions page, navigate to the left side Default Views menu and click Analytics.
To filter on a test, within the filter menu, click the Testfilter icon, and then click More filters.
Below is a list of all available Learning Analyticsdata for each question in a test:
Variable 
Description 
Attempted 
The number of students who answered the question. 
Avg. time spent 
The average number of seconds spent on the question among the students who have seen the question. 
Avg. score 
The average score on the question among the students who submitted this test. 
Correct 
The number of students who answered the question correctly. 
Correlation 
A number between 1 and 1. The correlation is the extent to which the question score correlates to the total score. Negative or very low positive values may indicate that the question does not discriminate (differ) well between students of high and low ability. See here for additional documentation: http://https://en.wikipedia.org/wiki/Pointbiserial_correlation_coefficient. 
Exposed 
The number of students, among those who submitted this test, who opened the question. Equals the sum of "Attempted" and "Omitted". 
Max score 
The maximum score on the question. 
Not exposed 
The number of students who did not open the question. 
Omitted 
The number of students who opened the question without answering it. 
Pvalue 
The Pvalue is the normalized average score on a question. This means that the maximum value of the Pvalue is 1, which happens if all the candidates answer the question correctly. It is worth noticing that the Pvalue can differ from the average score, even if the question has a maximum score of 1 because the Pvalue only takes into account the number of candidates that were exposed to the question. 
Question order 
The position of the question in this test. 
Note: If you use advanced scoring rules with negative scores, it may be difficult to interpret this value.
Question usage across test


 Copy the ID in parenthesis and open the URL:
 https://<subdomain>.inspera.no/admin#delivertest/<question ID here>
 This will open the test where the question was used. It is then possible to filter on that test to get the results from that particular test.
 Copy the ID in parenthesis and open the URL:

Ex. https://demo.inspera.no/admin#delivertest/23099404
Question set analytics
To access the question set analytics select Questions Sets from the Author topmenu then click either AnalyticsBasics or AnalyticsAdvanced.
This table shows the available metrics if Question Set Analytics are available:
Variable  Description 
Average total score 
The mean score of the total scores achieved by all students who took the test 
Average total score normalized 
The mean score of the total scores achieved by all students who took the test, divided by the max score 
Average time spent seconds 
The average time that was spent on completing the test, in seconds 
Cronbach Alpha 
Cronbach Alpha is a measure of internal consistency of the test, calculated with the formula: https://en.wikipedia.org/wiki/Cronbach%27s_alpha 
Highest total score achieved 
The highest score that was achieved on the test 
Lowest total score achieved 
The lowest score that was achieved on the test 
Maximum achievable total score 
The highest score that can theoretically be achieved on the test (sum of all max scores for all questions included in the test) 
Number of none attempts 
The number of students who did not attempt any of the questions in the question set (i.e. no answer registered for any of the questions) 
Number of questions 
The total number of questions that were included in the test 
Number of testtakers 
The total number of students who took the test 
Number of withdrawals 
The total number of students who withdrew from the test 
Percentage not reached 
The percentage of students that did not complete the entire test 
Standard deviation of the total score 
The standard deviation of the total score achieved by all students who took the 
Total score 1st quartile 
The value of the total test score associated with the 1st quartile 
Total score median 
The value of the total test score associated with the median 
Total score 3rd quartile 
The value of the total test score associated with the 3rd quartile 
Video tutorials on analytics:


Getting started with Learning AnalyticsIntroduction to Learning Analytics 


Question AnalyticsFind out how your Questions perform in a test. 


Question Set AnalyticsHow was the quality of the question in your test? 