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Table 5 Successive binary logistic regression analyses (not-for-profit institutions, n 2 = 439)

From: Differences in technology innovation R&D performance creation behavior between for-profit institutions and not-for-profit institutions

   Model (1) Model (2) Model (3)
Response variable (Level) B1 (0, 1a) B2 (0, 1a) B3 (0, 1a)
Level (Count) 0 (205) 0 (374) 0 (331)
   1 (234) 1 (65) 1 (41)
   Total (439) Total (439) Total (372c)
Predictor variable (Level) X1   X1   X1  
   T1 Ub, R T1 Ub, R T1 Ub, R
   T2 Sgb, Cs, Cd T2 Sgb, Cs, Cd T2 Sgb, Cd
     B1 (0b, 1) B1 (0b, 1)
       B2 (0b, 1)
Variable Level Coefficient (Z value) Odds ratio Coefficient (Z value) Odds ratio Coefficient
(Z value)
Odds ratio
Intercept   −1.291 (−3.91)   −2.374 (−5.27)   −4.445 (−5.75)  
X1   0.337 (7.59***) 1.40 0.110 (3.00***) 1.12 0.092 (1.86*) 1.10
T1 R −0.122 (−0.52) 0.88 0.650 (1.82*) 1.92 0.569 (1.07) 1.77
T2 Cs 0.766 (1.95*) 2.15 −0.904 (−1.29) 0.40   
  Cd 0.607 (1.89*) 1.83 0.269 (0.67) 1.31 0.865 (1.37) 2.38
B1 1    −0.769 (−2.39**) 0.46 −0.443 (−0.97) 0.64
B2 1      2.803 (7.19***) 16.50
Model significance test
 Log likelihood   −254.046   −171.189   −92.820  
 Chi-Sq   98.574   25.799   72.502  
 DF   4   5   5  
 P value   0.000***   0.000***   0.000***  
Measures of association
 Somers’ D   0.55   0.39   0.73  
 Goodman–Kruskal γ   0.55   0.39   0.73  
 Kendall’s τ A   0.27   0.10   0.14  
Prediction pair type   Count Proportion Count Proportion Count Proportion
Concordant pairs   36,985 0.771 16,712 0.687 11,650 0.858
Discordant pairs   10,759 0.224 7272 0.299 1800 0.133
Tied pairs   226 0.005 326 0.013 121 0.009
Total   47,970 1.000 24,310 1.000 13,571 1.000
  1. aReference case (i.e., Success)
  2. bReference level
  3. cA partial sample composed of 67 observations accompanied with T2 = Cs is discarded because all these observations have B3 = 0 solely