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Conceptualizing and Measuring Collaboration

Thomson, A. M., Perry, J. L., Miller, T. K.·2007·Journal of Public Administration Research and Theory

Abstract

This article conceptualizes and measures collaboration. An empirically validated theory of collaboration, one that can inform both theory and practice, demands a systematic approach to understanding the meaning and measurement of collaboration. We present findings from a study that develops and tests the construct validity of a multidimensional model of collaboration. Data collected using a mail questionnaire sent to 1382 directors of organizations that participate in a large national service program provides the basis for a higher order confirmatory factor analysis. The model that emerges from this analysis demonstrates an overall close fit with the empirical data and the high, standardized gamma coefficients estimated in the model confirm that five key dimensions contribute to an overall construct of collaboration. The primary purpose of this research was to stimulate interest in measurement of collaboration and refinement of the model. As such, we present a detailed description of the analytical process, identify areas that affect interpretation of the data (such as possible selection bias), and propose areas for future research. We believe this effort to conceptualize and measure collaboration offers a foundation for further research.

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Metadata

Authors
Thomson, A. M., Perry, J. L., & Miller, T. K.
Venue
Journal of Public Administration Research and Theory
Published
2007-11-13
Volume
19
Issue
1
Pages
23-56
ISSN
  • 1053-1858 (ISSN-L)
  • 1477-9803
OpenAlex
W2058301091
Cited by
615
References
52
FWCI
24.03
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Conceptualizing and Measuring Collaboration. https://app.cochat.ai/papers/10.1093/jopart/mum036
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Thomson, A. M., Perry, J. L., & Miller, T. K. (2007). Conceptualizing and Measuring Collaboration. Journal of Public Administration Research and Theory. https://doi.org/10.1093/jopart/mum036

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.