Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Testing Water Quality

Testing Water Quality

When the quality of water for concrete preparation is uncertain, its impact on the setting time of cement and compressive strength of mortar is assessed by comparison with de-ionized or distilled water benchmarks. American Society for Testing and Materials (ASTM) C1602 requires the setting times to be within 90 minutes of the control, British Standard (BS) 3146:1980 allows a 30-minute variance in the initial setting, while British Standards European Norm (BS EN) 1008 specifies initial setting...

Testing a Claim about Standard Deviation

Testing a Claim about Standard Deviation

A complete procedure to test a claim about population standard deviation or population variance is explained here.
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...

Units and Standards of Measurement

Units and Standards of Measurement

A physical quantity is defined either by specifying its measurement method or by stating how it is calculated from other measurements. For example, consider a metallic cube. We might define its mass and dimensions by specifying methods for measuring them, such as using a weighing machine and a meter scale. Then, we could define the volume by stating that it is the cube of its side, and we could calculate the density as the mass divided by the volume.
Measurements of physical quantities are...

Units and Standards of Measurement

Units and Standards of Measurement

A physical quantity is defined either by specifying its measurement method or by stating how it is calculated from other measurements. For example, consider a metallic cube. We might define its mass and dimensions by specifying methods for measuring them, such as using a weighing machine and a meter scale. Then, we could define the volume by stating that it is the cube of its side, and we could calculate the density as the mass divided by the volume.
Measurements of physical quantities are...

Range Rule of Thumb to Interpret Standard Deviation

Range Rule of Thumb to Interpret Standard Deviation

The range rule of thumb in statistics helps us calculate a dataset's minimum and maximum values with known standard deviation. This rule is based on the concept that 95% of all values in a dataset lie within two standard deviations from the mean.
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...

Comparison Tests

Comparison Tests

An infinite series composed of positive terms may either approach a finite value or increase without bound. Determining which outcome occurs is a central task in calculus, and comparison tests provide structured methods for making this determination. Rather than evaluating a series directly, these tests relate it to another series whose behavior is already known, allowing conclusions to be drawn through logical comparison.The direct comparison test applies to series with positive terms. If each...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

Targeting chemoresistance in Xp11.2 translocation renal cell carcinoma using a novel polyamide-chlorambucil conjugate.

Cancer science·2022

Same author

Student perceptions of the progress test in two settings and the implications for test deployment.

Advances in health sciences education : theory and practice·2011

Same author

Improving progress test score estimation using bayesian statistics.

Medical education·2011

Same author

Developing a "frequent look and rapid remediation" assessment system for a new medical school.

Academic medicine : journal of the Association of American Medical Colleges·2010

Same author

Choosing and designing knowledge assessments: experience at a new medical school.

Medical teacher·2010

Same author

Progress testing internationally.

Medical teacher·2010

Same journal

When I say … 'in situ simulation'.

Medical education·2026

Same journal

Examiner training and calibration for simulated clinical examinations: A scoping review.

Medical education·2026

Same journal

When systems set the limits of supervision.

Medical education·2026

Same journal

From psychometrics to partnerships: Broadening what counts as validity evidence.

Medical education·2026

Same journal

When I say the clinical digital divide.

Medical education·2026

Same journal

Urology education under fire: Quantitative benchmarking of trainer adaptation and competency preservation in wartime Sudan.

Medical education·2026

See all related articles

Search research articles

Related Experiment Video

Updated: Jun 22, 2026

A Computerized Functional Skills Assessment and Training Program Targeting Technology Based Everyday Functional Skills

A Computerized Functional Skills Assessment and Training Program Targeting Technology Based Everyday Functional Skills

Published on: February 13, 2020

Standard setting for progress tests: combining external and internal standards.

Chris Ricketts¹, Adrian C Freeman, Lee R Coombes

¹Institute for Clinical Education, Peninsula College of Medicine and Dentistry, University of Plymouth, Plymouth, UK. Chris.Ricketts@pms.ac.uk

Medical Education

|June 5, 2009

Summary

This summary is machine-generated.

Developing new standards for medical education progress tests is crucial. This study used newly qualified doctors' data to set reliable benchmarks, improving assessment accuracy for graduating students.

Related Experiment Videos

Last Updated: Jun 22, 2026

A Computerized Functional Skills Assessment and Training Program Targeting Technology Based Everyday Functional Skills

A Computerized Functional Skills Assessment and Training Program Targeting Technology Based Everyday Functional Skills

Published on: February 13, 2020

Area of Science:

Medical Education
Assessment and Evaluation
Standard Setting

Background:

Standard setting for progress tests in medical education traditionally relies on normative standards.
There is a need for robust standard-setting methodologies, particularly for assessments near graduation.

Purpose of the Study:

To develop and validate a novel approach for standard setting in progress tests for final-year medical students.
To establish reliable performance benchmarks for medical education assessments.

Main Methods:

Utilized performance data from newly qualified doctors to establish an external reference standard.
Validated this standard against projected student performance data derived from normative grading and published results.
Employed a simple linear growth model for setting pass scores in earlier final-year progress tests, also validated with existing data.

Main Results:

Demonstrated strong agreement between standards derived from newly qualified doctors' data and those extrapolated from student progression.
Confirmed consistency with published performance data from an independent medical school.
The proposed method showed good concordance across different data sources.

Conclusions:

A triangulated approach using data from independent sources effectively informs standard-setting decisions for progress tests.
Longitudinal performance data from successive medical student cohorts offer a valuable resource for future standard setting.
This method provides a more objective and reliable basis for medical education assessment.