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A meta-analysis approach for evaluating the effectiveness of complex multisite programs.

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Meta-analysis can effectively evaluate multisite initiatives like the NIH

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Area of Science:

  • Biomedical research training
  • Program evaluation methodologies
  • Diversity and inclusion initiatives

Background:

  • The National Institutes of Health (NIH) Building Infrastructure Leading to Diversity (BUILD) initiative aims to increase diversity in biomedical research.
  • Multisite initiatives require robust evaluation methods to assess program impact across different locations.
  • Traditional statistical analyses may not fully capture program effects in multisite contexts.

Purpose of the Study:

  • To demonstrate the application of meta-analysis for evaluating multisite programs.
  • To compare meta-analysis with traditional statistical approaches for program evaluation.
  • To highlight the utility of meta-analysis in assessing program impacts on student outcomes within the BUILD program.

Main Methods:

  • Utilized a meta-analysis approach to combine effect estimates from different sites of the BUILD Scholar program.
  • Employed a typical "single-stage" modeling approach for comparison.
  • Analyzed three specific student outcomes to assess program impact.

Main Results:

  • Meta-analysis provided more nuanced information on program impacts compared to single-stage modeling.
  • The study demonstrated the feasibility and benefits of applying meta-analysis to multisite program evaluations.
  • Heterogeneity across sites could be estimated using the meta-analysis approach.

Conclusions:

  • Meta-analysis is a valuable statistical technique for evaluating multisite initiatives like the NIH BUILD program.
  • This approach offers a more comprehensive understanding of program effectiveness across diverse sites.
  • Meta-analysis supports robust program evaluation and can inform future diversity efforts in research.