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Related Experiment Video

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Measuring Local Tissue Strains in Tendons via Open-Source Digital Image Correlation

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Using the cumulative deviation method for cross-institutional benchmarking in the Berlin progress test.

Stefan Schauber¹, Zineb M Nouns

¹Charité-Universitätsmedizin Berlin, Germany. stefan.schauber@charite.de

Medical Teacher

|June 3, 2010

Summary

Cross-institutional benchmarking using the Berlin Progress Test replicates a cumulative deviation method. This approach allows for valuable comparisons of student achievement across universities, despite measurement error challenges.

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Area of Science:

Medical Education
Educational Assessment

Background:

The Berlin Progress Test involves 13 cooperating universities.
Cross-institutional comparisons of student achievement are of increasing interest.
Previous work by Muijtjens et al. proposed a method for benchmarking using progress test data.

Purpose of the Study:

To replicate the cumulative deviation method for cross-institutional benchmarking.
To assess student achievement comparisons between participating universities.

Main Methods:

Adopting the procedure proposed by Muijtjens et al. (2008a, b).
Utilizing progress test data for longitudinal analysis of student knowledge growth.
Applying the cumulative deviation method for benchmarking.

Main Results:

The basic characteristics of the cumulative deviation method were successfully replicated.
The study confirmed the utility of progress testing for longitudinal student knowledge assessment.
Measurement errors were found to be non-independent, posing a challenge to statistical difference testing.

Conclusions:

The cumulative deviation method is replicable for cross-institutional benchmarking in medical education.
Progress testing provides valuable longitudinal data on student knowledge development.
Limitations exist due to non-independent measurement errors, impacting statistical validity.