Item response theory test equating in health sciences education

Area of Science:

• Health Sciences Education
• Educational Measurement
• Psychometrics

Background:

• Comparing subject knowledge often requires equating scores from different tests or instruments.
• Equating ensures that scores are comparable, even when using varied assessment tools.
• This is particularly relevant in health sciences education for standardized evaluations.

Purpose of the Study:

• To explain score equating within the framework of item response theory (IRT).
• To emphasize the application of IRT-based score equating in health sciences education.
• To discuss common data collection designs and equating procedures.

Main Methods:

• Utilizes item response theory (IRT) for score equating.
• Discusses common data collection designs: single group, randomly equivalent groups, and non-equivalent groups with anchor test.
• Explains IRT equating procedures like mean/mean, mean/sigma, and characteristic curve methods.

Main Results:

• Score equating ensures examinees are tested under equivalent conditions.
• IRT provides a robust framework for equating test scores.
• Common designs and procedures facilitate accurate score comparison.

Conclusions:

• Score equating is essential for valid comparisons in health sciences education.
• IRT-based equating methods offer precise and reliable score comparisons.
• Equating facilitates the development of item banks for future assessments.