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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