Measuring collaboration and transdisciplinary integration in team science

Am J Prev Med. 2008 Aug;35(2 Suppl):S151-60. doi: 10.1016/j.amepre.2008.05.020.

Abstract

Purpose: As the science of team science evolves, the development of measures that assess important processes related to working in transdisciplinary teams is critical. Therefore, the purpose of this paper is to present the psychometric properties of scales measuring collaborative processes and transdisciplinary integration.

Methods: Two hundred-sixteen researchers and research staff participating in the Transdisciplinary Tobacco Use Research Centers (TTURC) Initiative completed the TTURC researcher survey. Confirmatory-factor analyses were used to verify the hypothesized factor structures. Descriptive data pertinent to these scales and their associations with other constructs were included to further examine the properties of the scales.

Results: Overall, the hypothesized-factor structures, with some minor modifications, were validated. A total of four scales were developed, three to assess collaborative processes (satisfaction with the collaboration, impact of collaboration, trust and respect) and one to assess transdisciplinary integration. All scales were found to have adequate internal consistency (i.e., Cronbach alpha's were all >0.70); were correlated with intermediate markers of collaborations (e.g., the collaboration and transdisciplinary-integration scales were positively associated with the perception of a center's making good progress in creating new methods, new science and models, and new interventions); and showed some ability to detect group differences.

Conclusions: This paper provides valid tools that can be utilized to examine the underlying processes of team science--an important step toward advancing the science of team science.

Publication types

  • Validation Study

MeSH terms

  • Attitude
  • Cooperative Behavior*
  • Group Processes*
  • Humans
  • Interdisciplinary Communication*
  • Interprofessional Relations
  • Models, Psychological
  • Personal Satisfaction
  • Program Evaluation
  • Psychometrics / statistics & numerical data*
  • Reproducibility of Results
  • Research Personnel / statistics & numerical data*
  • Surveys and Questionnaires