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Scale Anchoring with the Rasch Model.

¹Adam E. Wyse, The American Registry of Radiologic Technologists, 1255 Northland Dr., St. Paul, MN 55120, USA, adam.wyse@arrt.org.

Journal of Applied Measurement

|April 29, 2017

Summary

This summary is machine-generated.

This study introduces simple formulas for scale anchoring using the Rasch model. These formulas help identify items that explain score meanings, improving test interpretation for stakeholders.

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Area of Science:

Psychometrics
Educational Measurement
Item Response Theory

Background:

Scale anchoring enhances score interpretation by linking specific scores to representative items.
Understanding score meaning is crucial for test-takers and stakeholders.
The Rasch model is a key tool in modern psychometrics for analyzing item and person parameters.

Purpose of the Study:

To present simple formulas for identifying scale anchors within the Rasch model framework.
To provide practical guidance on applying these formulas in real-world assessment contexts.
To illustrate the application of these scale anchoring formulas with a case study.

Main Methods:

Development of straightforward formulas for selecting anchor items based on Rasch model outputs.
Analysis of practical considerations and potential challenges in applying the formulas.
Demonstration using empirical data from a medical imaging certification program.

Main Results:

The proposed formulas offer a systematic approach to identifying potential scale anchors.
The study highlights the feasibility of applying these methods in practical assessment settings.
The example demonstrates how to translate statistical anchors into meaningful performance descriptors.

Conclusions:

The presented formulas facilitate effective scale anchoring within the Rasch model.
This method enhances the interpretability and utility of assessment scores.
The approach is valuable for improving score reporting and user understanding in various testing programs.