Assessing team mindsets: Development and validation of a scale for team learning

Team mindsets are the collective beliefs of team members regarding their ability to enhance each other's capacity by sharing knowledge, learning from failures, and collaboratively addressing challenges. This study developed and validated the Team Mindset Scale (TMS) to measure individuals' perceptions of teamwork in relation to learning. The initial study revealed that the developed 48-team mindset items represented a two-factor structure encompassing team growth and fixed mindsets. We conducted an exploratory factor analysis on government survey data from 91 employees and identified two factors representing team mindsets. We verified the factor structure again and examined the psychometric properties of the items using a larger sample of 908 college students who participated in team projects. In the second study, we tested the two-factor structure of team mindsets and the participants' response biases. In the third study, we conducted confirmatory factor analysis models to cross-validate the two-factor model and investigated measurement invariance across genders. Furthermore, we assessed the convergent and discriminant validity of team mindset constructs by evaluating the relationship between Dweck's individual mindsets and the newly identified team mindsets. The scale we developed can enhance future research on team mindsets and offer valuable insights for practitioners and educators.

Authors

Institutions

Publication Details

Journal
BMC Psychology
Published
2026-01-16
DOI
https://doi.org/10.1186/s40359-025-03906-3
Primary Topic
Team Dynamics and Performance
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Assessing team mindsets: Development and validation of a scale for team learning

M. K. Kim, Han Sh
BMC Psychology
Team Dynamics and Performance
article

Assessing team mindsets: Development and validation of a scale for team learning

M. K. Kim, Han Sh
article en

Abstract

Team mindsets are the collective beliefs of team members regarding their ability to enhance each other's capacity by sharing knowledge, learning from failures, and collaboratively addressing challenges. This study developed and validated the Team Mindset Scale (TMS) to measure individuals' perceptions of teamwork in relation to learning. The initial study revealed that the developed 48-team mindset items represented a two-factor structure encompassing team growth and fixed mindsets. We conducted an exploratory factor analysis on government survey data from 91 employees and identified two factors representing team mindsets. We verified the factor structure again and examined the psychometric properties of the items using a larger sample of 908 college students who participated in team projects. In the second study, we tested the two-factor structure of team mindsets and the participants' response biases. In the third study, we conducted confirmatory factor analysis models to cross-validate the two-factor model and investigated measurement invariance across genders. Furthermore, we assessed the convergent and discriminant validity of team mindset constructs by evaluating the relationship between Dweck's individual mindsets and the newly identified team mindsets. The scale we developed can enhance future research on team mindsets and offer valuable insights for practitioners and educators.

BMC PsychologyVol. 14(1)
Sungshin Women's University (KR), Yonsei University (KR)
Reduced inequalities
Openalex Percentile: Top 89%
Team Dynamics and Performance
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.