Binominal logistic regressions predicting KD Outcomes
| Panel a | |||||
| Model | 1 | 2 | 3 | 4 | 5 |
| Dependent variable | PRJ (FT45) | PRJ (4+) | PRJ (1-3) | PRJ Bridge | Research Gate |
| Independent variables | |||||
| Strategic orientation | 2.073*** (0.220) | 1.239*** (0.163) | 0.843*** (0.166) | 0.792* (0.343) | 0.513*** (0.144) |
| Accreditation | 1.114*** (0.271) | 0.574* (0.246) | 6.216* (0.255) | −0.376 (0.414) | 0.645** (0.221) |
| Terminal degree | 2.947*** (0.523) | 1.991*** (0.359) | 1.752*** (0.356) | 1.111 (0.807) | 1.065** (0.344) |
| Practitioner exp. | 0.321 (0.260) | 0.446 (0.274) | 0.560 (0.321) | 0.619 (0.415) | −0.191 (0.234) |
| Interdisciplinary | 0.821* (0.407) | 0.259 (0.396) | 0.233 (0.425) | 0.875 (0.518) | −0.479 (0.351) |
| PhD rank | −0.280 (0.276) | 0.168 (0.308) | 0.542 (0.389) | 0.138 (0.437) | 0.324 (0.260) |
| Discipline | 0.017 (0.030) | 0.045 (0.028) | 0.033 (0.031) | −0.018 (0.050) | −0.039 (0.026) |
| Gender | −0.539* (0.254) | −0.604* (0.244) | −0.323 (0.256) | 0.335 (0.484) | −0.079 (0.216) |
| Tenured | 0.502* (0.246) | 0.983*** (0.234) | 1.261*** (0.250) | 0.961* (0.489) | 1.244*** (0.213) |
| Constant | −8.803*** (0.922) | −4.887*** (0.645) | −3.452 (0.650) | −6.697*** (1.288) | −2.874*** (0.558) |
| Percentage correct | 77.8 | 76.3 | 80.5 | 94.1 | 51.4 |
| χ2 | 225.959*** | 165.743*** | 122.675*** | 24.006** | 114.346*** |
| Df | 8 | 8 | 8 | 8 | 8 |
| −2 Log likelihood | 488.280 | 519.687 | 452.553 | 211.306 | 610.255 |
| Cox and Snell R2 | 0.351 | 0.272 | 0.209 | 0.045 | 0.196 |
| Nagelkerke R2 | 0.471 | 0.372 | 0.313 | 0.124 | 0.262 |
| Panel b | |||||
| Model | 6 | 7 | 8 | 9 | 10 |
| Dependent variable | In-Class | Textbook publishing | Other book publishing | Practitioner engagement | YouTube |
| Independent variables | |||||
| Strategic orientation | −0.456* (0.232) | 0.624** (0.184) | 0.289* (0.140) | 0.156 (0.156) | −0.189 (0.195) |
| Accreditation | 0.850* (0.410) | 0.727* (0.290) | −0.038 (0.216) | 0.162 (0.239) | 0.995** (0.350) |
| Terminal degree | 1.458** (0.539) | −0.282 (0.392) | 0.335 (0.317) | 0.356 (0.311) | 0.323 (0.476) |
| Practitioner exp. | 1.189** (0.359) | 0.467 (0.286) | 0.421 (0.233) | 1.262*** (0.256) | −0.020 (0.319) |
| Interdisciplinary | 0.945* (0.436) | 0.065 (0.402) | 0.431 (0.324) | 0.873** (0.326) | 1.287*** (0.364) |
| PhD rank | −0.684 (0.538) | −0.109 (0.297) | −0.240 (0.251) | −0.552 (0.315) | 0.610 (0.329) |
| Discipline | 0.027 (0.042) | −0.043 (0.031) | 0.004 (0.025) | 0.007 (0.028) | 0.072* (0.035) |
| Gender | 0.375 (0.374) | 0.054 (0.274) | −0.386 (212) | 0.039 (0.240) | −0.483 (0.282) |
| Tenured | −0.459 (0.342) | 1.305*** (0.307) | 1.254*** (0.225) | −0.109 (0.233) | 0.296 (0.298) |
| Constant | −4.038*** (0.866) | −4.126*** (0.684) | −2.279*** (0.519) | −2.597*** (0.558) | −3.109*** (0.735) |
| Percentage correct | 91.4 | 82.2 | 65.8 | 77.6 | 85.9 |
| χ2 | 35.383*** | 43.335*** | 43.585** | 41.926*** | 33.585 |
| Df | 8 | 8 | 8 | 8 | 8 |
| −2 Log likelihood | 272.887 | 455.339 | 634.276 | 519.022 | 389.207 |
| Cox and Snell R2 | 0.063 | 0.080 | 0.080 | 0.077 | 0.062 |
| Nagelkerke R2 | 0.141 | 0.129 | 0.110 | 0.117 | 0.112 |
| Model | 1 | 2 | 3 | 4 | 5 |
| Dependent variable | PRJ (FT45) | PRJ (4+) | PRJ (1-3) | PRJ Bridge | Research Gate |
| Strategic orientation | |||||
| Accreditation | −0.376 (0.414) | ||||
| Terminal degree | 1.111 (0.807) | ||||
| Practitioner exp. | 0.321 (0.260) | 0.446 (0.274) | 0.560 (0.321) | 0.619 (0.415) | −0.191 (0.234) |
| Interdisciplinary | 0.259 (0.396) | 0.233 (0.425) | 0.875 (0.518) | −0.479 (0.351) | |
| PhD rank | −0.280 (0.276) | 0.168 (0.308) | 0.542 (0.389) | 0.138 (0.437) | 0.324 (0.260) |
| Discipline | 0.017 (0.030) | 0.045 (0.028) | 0.033 (0.031) | −0.018 (0.050) | −0.039 (0.026) |
| Gender | − | − | −0.323 (0.256) | 0.335 (0.484) | −0.079 (0.216) |
| Tenured | |||||
| Constant | − | − | − | − | − |
| Percentage correct | 77.8 | 76.3 | 80.5 | 94.1 | 51.4 |
| Df | 8 | 8 | 8 | 8 | 8 |
| −2 Log likelihood | 488.280 | 519.687 | 452.553 | 211.306 | 610.255 |
| Cox and Snell | 0.351 | 0.272 | 0.209 | 0.045 | 0.196 |
| Nagelkerke | 0.471 | 0.372 | 0.313 | 0.124 | 0.262 |
| Model | 6 | 7 | 8 | 9 | 10 |
| Dependent variable | In-Class | Textbook publishing | Other book publishing | Practitioner engagement | YouTube |
| Strategic orientation | − | 0.156 (0.156) | −0.189 (0.195) | ||
| Accreditation | −0.038 (0.216) | 0.162 (0.239) | |||
| Terminal degree | −0.282 (0.392) | 0.335 (0.317) | 0.356 (0.311) | 0.323 (0.476) | |
| Practitioner exp. | 0.467 (0.286) | 0.421 (0.233) | −0.020 (0.319) | ||
| Interdisciplinary | 0.065 (0.402) | 0.431 (0.324) | |||
| PhD rank | −0.684 (0.538) | −0.109 (0.297) | −0.240 (0.251) | −0.552 (0.315) | 0.610 (0.329) |
| Discipline | 0.027 (0.042) | −0.043 (0.031) | 0.004 (0.025) | 0.007 (0.028) | 0.072* (0.035) |
| Gender | 0.375 (0.374) | 0.054 (0.274) | −0.386 (212) | 0.039 (0.240) | −0.483 (0.282) |
| Tenured | −0.459 (0.342) | −0.109 (0.233) | 0.296 (0.298) | ||
| Constant | − | − | − | − | − |
| Percentage correct | 91.4 | 82.2 | 65.8 | 77.6 | 85.9 |
| 33.585 | |||||
| Df | 8 | 8 | 8 | 8 | 8 |
| −2 Log likelihood | 272.887 | 455.339 | 634.276 | 519.022 | 389.207 |
| Cox and Snell | 0.063 | 0.080 | 0.080 | 0.077 | 0.062 |
| Nagelkerke | 0.141 | 0.129 | 0.110 | 0.117 | 0.112 |
Notes: Panel (a): n=524; Panel (b) n=74. Models for LinkedIn, Twitter and Print Media all report a Nagelkerke R2 of <0.1 and are not included in this table. Betas reported. Standard errors (SE) are in parentheses. Significant factors in italic. *p<0.05; **p<0.01; ***p<0.001
Sharing content requires targeting cookies to be enabled. Please update your cookie preferences to use this feature.