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Application of logic models in a large scientific research program

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  • O'Keefe, Christine M.
  • Head, Richard J.

Abstract

It is the purpose of this article to discuss the development and application of a logic model in the context of a large scientific research program within the Commonwealth Scientific and Industrial Research Organisation (CSIRO). CSIRO is Australia's national science agency and is a publicly funded part of Australia's innovation system. It conducts mission-driven scientific research focussed on delivering results with relevance and impact for Australia, where impact is defined and measured in economic, environmental and social terms at the national level. The Australian Government has recently signalled an increasing emphasis on performance assessment and evaluation, which in the CSIRO context implies an increasing emphasis on ensuring and demonstrating the impact of its research programs. CSIRO continues to develop and improve its approaches to impact planning and evaluation, including conducting a trial of a program logic approach in the CSIRO Preventative Health National Research Flagship. During the trial, improvements were observed in clarity of the research goals and path to impact, as well as in alignment of science and support function activities with national challenge goals. Further benefits were observed in terms of communication of the goals and expected impact of CSIRO's research programs both within CSIRO and externally. The key lesson learned was that significant value was achieved through the process itself, as well as the outcome. Recommendations based on the CSIRO trial may be of interest to managers of scientific research considering developing similar logic models for their research projects. The CSIRO experience has shown that there are significant benefits to be gained, especially if the project participants have a major role in the process of developing the logic model.

Suggested Citation

  • O'Keefe, Christine M. & Head, Richard J., 2011. "Application of logic models in a large scientific research program," Evaluation and Program Planning, Elsevier, vol. 34(3), pages 174-184, August.
    • Handle: RePEc:eee:epplan:v:34:y:2011:i:3:p:174-184
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    References listed on IDEAS

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    1. McLaughlin, John A. & Jordan, Gretchen B., 1999. "Logic models: a tool for telling your programs performance story," Evaluation and Program Planning, Elsevier, vol. 22(1), pages 65-72.
    2. Kaplan, Sue A. & Garrett, Katherine E., 2005. "The use of logic models by community-based initiatives," Evaluation and Program Planning, Elsevier, vol. 28(2), pages 167-172, May.
    3. Fielden, Sarah J. & Rusch, Melanie L. & Masinda, Mambo Tabu & Sands, Jim & Frankish, Jim & Evoy, Brian, 2007. "Key considerations for logic model development in research partnerships: A Canadian case study," Evaluation and Program Planning, Elsevier, vol. 30(2), pages 115-124, May.
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    3. Shu-Ping Chen & Wen-Pin Chang & Bryan Fleet & Santoch Rai & Steve Panteluk & Alberto Choy & DeAnn Hunter, 2021. "Is a Forensic Cohabitation Program Recovery-Oriented? A Logic Model Analysis," IJERPH, MDPI, vol. 19(1), pages 1-11, December.

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