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Visualizing faculty development impact: A social network analysis.

Yang Yann Foo1, James Moody2,3, Sandy Cook4

  • 1Duke-NUS Medical School, Academic Medicine Education Institute, Singapore, Singapore. yangyann.foo@duke-nus.edu.sg.

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|April 20, 2019
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Summary
This summary is machine-generated.

Social network analysis effectively measures faculty development program impact by assessing changes in collaboration and information networks. This rigorous method offers a more insightful evaluation than traditional satisfaction metrics.

Keywords:
Faculty developmentProgram evaluationSocial network analysis

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Area of Science:

  • Medical Education
  • Social Network Analysis
  • Organizational Behavior

Background:

  • Faculty development programs often use superficial evaluation methods like participant satisfaction.
  • There is a need for more rigorous methods to assess the workplace impact of faculty development.

Purpose of the Study:

  • To test the feasibility of using social network analysis (SNA) to evaluate faculty development.
  • To assess the impact of a year-long fellowship program using SNA concepts of social cohesion.

Main Methods:

  • Employed SNA metrics: connectedness and betweenness centrality.
  • Assessed changes in information and collaboration networks among fellowship program participants.
  • Utilized a branched survey for three cohorts of fellows (2013-2016, n=74; response rate 64%, n=47).

Main Results:

  • Connectedness increased significantly: largest connected set more than doubled, pair-level reachability tripled.
  • Betweenness centrality improved, indicating increased advice-seeking and trust within the network.
  • SNA successfully identified changes in social cohesion.

Conclusions:

  • Social network analysis is a viable tool for evaluating faculty development program impact.
  • SNA provides a more objective measure of network changes and collaboration than satisfaction surveys.
  • This study demonstrates SNA's utility in assessing faculty development effectiveness.