A standard setting method with the best performing students as point of reference: practical and affordable
Related Experiment Video
Updated: Jun 16, 2026

Mixed Reality for Education (MRE) Implementation and Results in Online Classes for Engineering
Published on: June 23, 2023
Janke Cohen-Schotanus1, Cees P M van der Vleuten
1Center for Research and Innovation in Medical Education, University of Groningen and University Medical Center Groningen, Groningen, The Netherlands. j.cohenschotanus@med.umcg.nl
Background:
Teachers involved in test development usually prefer criterion-referenced standard setting methods using panels. Since expert panels are costly, standards are often set by a pre-fixed percentage of questions answered correctly or norm-referenced methods aimed at ranking examinees.
Aim:
To discuss the (dis)advantages of commonly used criterion and norm-referenced methods and present a new compromise method: standards based on a fixed cut-off score using the best scoring students as reference point.
Methods:
Historical data from 54 Maastricht (norm-referenced) and 52 Groningen (criterion-referenced) tests were used to demonstrate huge discrepancies and variability in cut-off scores and failure rates. Subsequently, the compromise model - known as Cohen's method - was applied to the Groningen tests.
Results:
The Maastricht norm-referenced method led to a large variation in required cut-off scores (15-46%), but a stable failure rate (about 17%). The Groningen method with a conventional, pre-fixed standard of 60% led to a large variation in failure rates (17-97%). The compromise method reduced variation in required cut-off scores as well as failure rates.
Conclusion:
Both the criterion and norm-referenced standards, used in practice, have disadvantages. The proposed compromise model reduces the disadvantages of both methods and is considered more acceptable. Last but not least, compared to standard setting methods using panels, this method is affordable.
Related Concept Videos
Range Rule of Thumb to Interpret Standard Deviation
For instance, the range rule of thumb can be used to find the tallest and the shortest student in a class, given the mean student height and standard deviation. If the mean student height is 1.6 m and the standard deviation, s is 0.05 m, the height of...
Testing a Claim about Standard Deviation
The hypothesis testing for the claim of population standard deviation (or variance) requires the data and samples to be random and unbiased. The population distribution also must be normal. There is no specific requirement on the sample size as the estimation is based on the chi-square distribution.
As a first step, the hypothesis (null and alternative) concerning the claim about...
Standard Solutions
Calculating Standard Deviation
The standard deviation value is small when all the data is concentrated close to the mean. Here the data exhibits low variation. The standard deviation value is larger when the data values are more spread out from the mean. Here, the data displays high variation.
Let us...
Review and Preview
Percentiles are a type of fractile that partition data into...
Methods of Medium Optimization
