Spurring Innovation in Food and Agriculture A Review of the USDA Agriculture and Food Research Initiative Program (2014) / Chapter Skim
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Appendix H: Data Processing for Program Evaluation
Appendix H: Data Processing for Program Evaluation
Pages 219-222
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From page 219... ...
o Program code, which reflects the subject area of the project. o Percentage basic and percentage applied research.
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From page 220... ...
To render all the submitted data in an analyzable form, National Research Council staff sorted the data, removed duplicate entries, collated data from the various files into one Excel file, and created dummy variables for the regression analyses. In the process of sorting the data, the staff noticed some gaps in data and a few inconsistencies among datasets (e.g., some entries for PI ranks or grant types were missing.
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From page 221... ...
Given the lag time between the conduct of research and the publication of results, it is unlikely that all publications from every project are accounted for by CRIS. Therefore, the committee solicited help from Yunguang Chen, of Oregon State University, to search publications that acknowledge AFRI as a source of funding for the 2009–2012 grants and for the NRI awards initiated in 2008 by using Google Scholar.
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