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Related Experiment Video

Updated: May 15, 2026

Problem-Solving Before Instruction (PS-I): A Protocol for Assessment and Intervention in Students with Different Abilities

Problem-Solving Before Instruction (PS-I): A Protocol for Assessment and Intervention in Students with Different Abilities

Published on: September 11, 2021

Using generalizability theory to develop clinical assessment protocols.

Richard A Preuss¹

¹School of Physical and Occupational Therapy, McGill University, 3630 Promenade Sir-William-Osler, Montreal, Quebec, Canada. richard.preuss@mcgill.ca

Physical Therapy

|December 22, 2012

Summary

Generalizability theory enhances clinical assessment reliability by accounting for multiple error sources and allowing protocol adjustments for individual patient needs. This improves the minimal detectable change (MDC) for better patient progress monitoring.

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Area of Science:

Measurement science
Clinical assessment
Psychometrics

Background:

Reliable clinical assessment protocols are essential for accurate patient evaluation and monitoring.
Classical test theory has limitations in addressing multiple sources of measurement error.
A clinically attainable minimal detectable change (MDC) is crucial for assessing patient progress.

Purpose of the Study:

To highlight the advantages of generalizability theory over classical test theory in reliability studies.
To demonstrate how generalizability theory can inform the adjustment of clinical assessment protocols.
To optimize the selection of assessment protocols for monitoring individual patient progress.

Main Methods:

Application of generalizability theory to analyze measurement error variance.
Simultaneous consideration of multiple error sources (facets) in reliability studies.
Generalizing findings across different facet conditions to recalculate reliability and MDC.

Main Results:

Generalizability theory allows for simultaneous analysis of multiple measurement error facets.
It enables recalculation of reliability and MDC based on various facet condition combinations.
Assessment protocols can be tailored to individual patient profiles and clinical needs.

Conclusions:

Generalizability theory offers significant advantages for clinical reliability studies.
It facilitates the optimization of assessment protocols to achieve a realistic MDC.
This approach supports clinicians in effectively monitoring individual patient progress over time.