Table VI

Binominal logistic regressions predicting KD Outcomes

Panel a
Model12345
Dependent variablePRJ (FT45)PRJ (4+)PRJ (1-3)PRJ BridgeResearch Gate
Independent variables
Strategic orientation2.073*** (0.220)1.239*** (0.163)0.843*** (0.166)0.792* (0.343)0.513*** (0.144)
Accreditation1.114*** (0.271)0.574* (0.246)6.216* (0.255)−0.376 (0.414)0.645** (0.221)
Terminal degree2.947*** (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)
Interdisciplinary0.821* (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)
Discipline0.017 (0.030)0.045 (0.028)0.033 (0.031)−0.018 (0.050)−0.039 (0.026)
Gender0.539* (0.254)0.604* (0.244)−0.323 (0.256)0.335 (0.484)−0.079 (0.216)
Tenured0.502* (0.246)0.983*** (0.234)1.261*** (0.250)0.961* (0.489)1.244*** (0.213)
Constant8.803*** (0.922)4.887*** (0.645)3.452 (0.650)6.697*** (1.288)2.874*** (0.558)
Percentage correct77.876.380.594.151.4
χ2225.959***165.743***122.675***24.006**114.346***
Df88888
−2 Log likelihood488.280519.687452.553211.306610.255
Cox and Snell R20.3510.2720.2090.0450.196
Nagelkerke R20.4710.3720.3130.1240.262
Panel b
Model678910
Dependent variableIn-ClassTextbook publishingOther book publishingPractitioner engagementYouTube
Independent variables
Strategic orientation0.456* (0.232)0.624** (0.184)0.289* (0.140)0.156 (0.156)−0.189 (0.195)
Accreditation0.850* (0.410)0.727* (0.290)−0.038 (0.216)0.162 (0.239)0.995** (0.350)
Terminal degree1.458** (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)
Interdisciplinary0.945* (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)
Discipline0.027 (0.042)−0.043 (0.031)0.004 (0.025)0.007 (0.028)0.072* (0.035)
Gender0.375 (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)
Constant4.038*** (0.866)4.126*** (0.684)2.279*** (0.519)2.597*** (0.558)3.109*** (0.735)
Percentage correct91.482.265.877.685.9
χ235.383***43.335***43.585**41.926***33.585
Df88888
−2 Log likelihood272.887455.339634.276519.022389.207
Cox and Snell R20.0630.0800.0800.0770.062
Nagelkerke R20.1410.1290.1100.1170.112

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

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