Table 3. Summary statistics for best-fit models from NSERC Discovery Grant proposal funding success and award outcomes (2011–2014) for Early Career Researchers.
The evaluation metrics reflect researcher accomplishments (Excellence of the Researcher, EoR), research proposal (Merit of the Proposal, MoP), and training record and opportunities (High Quality Personnel, HQP).
| Measure | 2012 | 2013 | 2014 | Medium | Small | Pseudo R2 |
|---|---|---|---|---|---|---|
| Funding awarded | - | - | 0.755 (0.088) | - | 2.482 (0.315) | 0.024 |
| Funding bin | 0.798 (0.077) | - | - | 1.532 (0.182) | 2.266 (0.300) | 0.012 |
| Researcher (EoR) | 0.766 (0.079) | - | - | 1.819 (0.235) | 3.014 (0.369) | 0.023 |
| Proposal (MoP) | - | - | - | 1.287 (0.161) | 2.089 (0.247) | 0.009 |
| Training (HQP) | 1.797 (0.279) | 3.405 (0.562) | 2.236 (0.360) | 1.436 (0.236) | 2.263 (0.372) | 0.034 |
Notes: Odds ratios (± SE) for variables in best-fit models, with reference values (Year 2011, Large universities). All individual variables retained in models are significant (P<0.050). Higher odds ratios indicate increased odds of poorer success. Sample size is 1826.