Development and Validation of Three Scales Measuring Interdisciplinary Research Team Participants’ Experiences

Evaluating interdisciplinary research (IDR) teams is essential for improving productivity and outcomes. To contribute to the growing toolkit for evaluating IDR teamwork, we created three scales: IDR Gains, Principal Investigator (PI) Perceptions of Challenges, and Non-PI Perceptions of PIs—designed for use in academic settings. The scales were psychometrically tested with university faculty from various disciplines ( n = 345) who were invited to apply for interdisciplinary seed-grants. Confirmatory factor analysis revealed good model fit, and all scales demonstrated high reliability (α ≥ .9) and convergent validity. These instruments offer valuable tools for assessing and enhancing researchers’ experiences with IDR, particularly in colleges/universities.

Authors

Institutions

Publication Details

Journal
Small Group Research
Published
2026-02-26
DOI
https://doi.org/10.1177/10464964251404492
Primary Topic
Interdisciplinary Research and Collaboration
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Development and Validation of Three Scales Measuring Interdisciplinary Research Team Participants’ Experiences

Michael Beyerlein, Sarayu Sankar, Patrice French, Zach Traylor et al.
Small Group Research
Interdisciplinary Research and Collaboration
article

Development and Validation of Three Scales Measuring Interdisciplinary Research Team Participants’ Experiences

Michael Beyerlein, Sarayu Sankar, Patrice French, Zach Traylor, Kenneth R. McLeroy, Megan S. Patterson, Patricia Goodson, Amanda Garr, Wei Wang, Xiao Meng
article en

Abstract

Evaluating interdisciplinary research (IDR) teams is essential for improving productivity and outcomes. To contribute to the growing toolkit for evaluating IDR teamwork, we created three scales: IDR Gains, Principal Investigator (PI) Perceptions of Challenges, and Non-PI Perceptions of PIs—designed for use in academic settings. The scales were psychometrically tested with university faculty from various disciplines ( n = 345) who were invited to apply for interdisciplinary seed-grants. Confirmatory factor analysis revealed good model fit, and all scales demonstrated high reliability (α ≥ .9) and convergent validity. These instruments offer valuable tools for assessing and enhancing researchers’ experiences with IDR, particularly in colleges/universities.

Small Group Research
Texas A&M University (US)
Decent work and economic growth
Openalex Percentile: Top 43%
Interdisciplinary Research and Collaboration
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.