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Using network analysis to conduct a system-wide program evaluation within a university.

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  • 1Texas A&M University, College of Education and Human Development, Department of Health and Kinesiology, MS 4243, College Station, TX 77843-4243, United States.

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Social network analysis revealed university programs overlap significantly, with nearly 20 other programs on average. This systemic evaluation highlights program connections and audience sizes for educational initiatives.

Keywords:
AssessmentSocial network analysisStudent affairsStudent life

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Area of Science:

  • Higher Education Administration
  • Program Evaluation
  • Social Network Analysis

Background:

  • Universities offer numerous educational programs addressing critical issues.
  • A comprehensive understanding of program overlap and reach is essential for effective resource allocation and impact.
  • Existing program evaluations often focus on local-level assessments, potentially missing system-wide patterns.

Purpose of the Study:

  • To conduct a system-wide assessment of university education, training, and programming.
  • To examine how 14 important issues are addressed across various campus programs using social network analysis (SNA).
  • To identify patterns of content coverage and audience engagement within the university's program offerings.

Main Methods:

  • Conducted interviews with campus departments responsible for educating/training on 14 key issues.
  • Collected data on 52 programs, including audience characteristics, delivery dates, and covered issues.
  • Applied social network analysis (SNA) to calculate network degree and visualize content-coverage patterns.

Main Results:

  • Programs overlapped in topic area with an average of nearly 20 other programs (average degree = 19.38).
  • The majority of programs (69.2%) served audiences of 500 or fewer participants.
  • "Diversity and inclusion" was the most frequently addressed topic (23 programs), while "suicide" and "bullying/hazing" had the fewest (3 programs each).
  • A negative correlation was found between program content overlap and audience size (r=-.310, p<.001).

Conclusions:

  • Social network analysis is a valuable tool for systemic program evaluation in higher education.
  • Findings complement local-level evaluations by revealing broader patterns of program connectivity and reach.
  • The study underscores the need to consider program overlap and audience size when assessing educational initiatives.