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Related Experiment Video

Updated: Jul 15, 2026

Qualitative and Quantitative Validation of Tools with Rating Scales Aimed at Assessing the Quality of University Service-Learning

Qualitative and Quantitative Validation of Tools with Rating Scales Aimed at Assessing the Quality of University Service-Learning

Published on: August 29, 2025

Instrument development tools and activities for measure validation using Rasch models: part II--validation

Edward W Wolfe¹, Everett V Smith

¹313 East Eggleston Hall, Virginia Tech University, Blacksburg, VA 24061, USA. edwolfe@vt.edu

Journal of Applied Measurement

|April 19, 2007

Summary

This study explains how statistical analyses, particularly using the Rasch measurement model, provide crucial validity evidence for newly developed instruments. This supports robust instrument development and strengthens validity arguments.

Related Experiment Videos

Last Updated: Jul 15, 2026

Qualitative and Quantitative Validation of Tools with Rating Scales Aimed at Assessing the Quality of University Service-Learning

Qualitative and Quantitative Validation of Tools with Rating Scales Aimed at Assessing the Quality of University Service-Learning

Published on: August 29, 2025

Area of Science:

Psychometrics
Measurement theory
Instrument development

Background:

Instrument development requires accumulating validity evidence.
Part I of this series outlined validity concepts and strategies for instrument development to support validity arguments.
Part II focuses on analytical methods for generating validity evidence.

Purpose of the Study:

To identify how statistical analyses can provide evidence for validity arguments.
To demonstrate the application of the Rasch measurement framework in generating validity evidence.
To support the rigorous development of measurement instruments.

Main Methods:

Utilizing statistical analyses within a Rasch measurement framework.
Applying psychometric methods to evaluate instrument quality.
Analyzing data to generate validity evidence.

Main Results:

Rasch measurement analyses yield empirical evidence supporting validity arguments.
Specific analytical approaches can quantify and qualify instrument validity.
The framework facilitates the systematic accumulation of validity evidence.

Conclusions:

Statistical analyses, especially Rasch modeling, are essential for building strong validity arguments.
This approach enhances the quality and reliability of measurement instruments.
Findings support best practices in instrument development and validation.