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Related Experiment Video

Updated: May 7, 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

The translational research impact scale: development, construct validity, and reliability testing.

Allard E Dembe¹, Michele S Lynch, P Cristian Gugiu

¹The Ohio State University, Columbus, OH, USA.

Evaluation & the Health Professions

|October 3, 2013

Summary

This summary is machine-generated.

A new tool, the Translational Research Impact Scale (TRIS), systematically measures biomedical research impacts. Expert validation confirmed its high reliability for assessing research investment returns and improving health outcomes.

Keywords:

CTSA impact measurement reliability translational research validity

Related Experiment Videos

Last Updated: May 7, 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:

Biomedical research
Health services research
Research impact assessment

Background:

Growing need to quantify return on research investment (RORI) and biomedical research's impact on health.
Current methods for impact assessment are inconsistent, hindering accurate evaluation.

Purpose of the Study:

To develop and validate a standardized tool, the Translational Research Impact Scale (TRIS), for measuring biomedical research impacts.
To establish a systematic approach for assessing research impact levels across different sites.

Main Methods:

Development of the Translational Research Impact Scale (TRIS) with 72 impact indicators across 3 domains and 9 subdomains.
Validation by a panel of 31 translational research experts to define and standardize impact measurement.
Reliability testing of expert ratings and a weighting process for indicators to derive composite scores.

Main Results:

High reliability scores (0.75–0.94) were found for expert ratings across all domains and most subdomains of the TRIS.
The TRIS provides a systematic framework for identifying and measuring diverse research impacts.
A weighting process was successfully implemented to allow for composite impact score derivation.

Conclusions:

The Translational Research Impact Scale (TRIS) is a reliable and valid tool for assessing biomedical research impact.
TRIS facilitates systematic evaluation of research investment returns and contribution to health.
This standardized scale supports consistent measurement of research impact across various settings.