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Table 4 Successive binary logistic regression analyses (for-profit institutions, n 1 = 1637)

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 (966) 0 (884) 0 (1118)
   1 (671) 1 (753) 1 (519)
   Total (1637) Total (1637) Total (1637)
Predictor variable (Level) X1   X1   X1  
   T1 (Lb, S) T1 (Lb, S) T1 (Lb, S)
   T2 (Sgb, Cs, Cd) T2 (Sgb, Cs, Cd) T2 (Sgb, Cs, 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   −1.063 (−4.71)   −0.873 (−3.98)   −3.977 (−11.28)  
X1   0.242 (6.44***) 1.27 −0.015 (−0.42) 0.99 −0.016 (−0.32) 0.98
T1 S 0.130 (0.96) 1.14 0.644 (4.76***) 1.90 0.372 (1.87*) 1.45
T2 Cs −0.097 (−0.47) 0.91 0.078 (0.40) 1.08 0.060 (0.22) 1.06
  Cd 0.359 (1.84*) 1.43 −0.008 (−0.04) 0.99 0.512 (1.98**) 1.67
B1 1    0.514 (4.87***) 1.67 0.497 (3.40***) 1.64
B2 1      3.733 (19.79***) 41.79
Model significance test
 Log likelihood   −1065.310   −1104.011   −628.157  
 Chi-Sq   85.290   50.848   788.694  
 DF   4   5   6  
 P value   0.000***   0.000***   0.000***  
Measures of association
 Somers’ D   0.30   0.19   0.74  
 Goodman–Kruskal γ   0.30   0.20   0.75  
 Kendall’s τ A   0.15   0.10   0.32  
Prediction pair type   Count Proportion Count Proportion Count Proportion
Concordant pairs   418,855 0.646 383,544 0.576 500,456 0.862
Discordant pairs   223,945 0.345 255,698 0.384 70,286 0.121
Tied pairs   5386 0.008 26,410 0.040 9,500 0.016
Total   648,186 1.000 665,652 1.000 580,242 1.000
  1. aReference case (i.e., Success)
  2. bReference level