Skip to main content

Table 4 Standard ML and bootstrapping methods for the estimation of structural model

From: Learning organizations, internal marketing, and organizational commitment in hospitals

 

ML estimates

Bootstrapping estimates of β

BC 95% CI of β

Effect/Path way

β

SE

βs

t-value

SE

SE-SE

Bias

SE-Bias

Lower

Upper

Direct effect

a. LO → IM

0.86

0.102

0.87

8.40***

0.116

0.001

0.001

0.002

0.66

1.11

b. IM → OC

0.67

0.264

0.81

2.52*

0.740

0.007

0.152

0.010

0.03

2.13

c’. LO → OC

0.15

0.238

0.19

0.64

0.725

0.007

−0.147

0.010

−1.18

0.78

Indirect effect

a × b

0.57

0.236

0.71

2.41*‡

0.728

   

0.09

2.42

  1. Note: Based on 5,000 bootstrap samples; ML maximum likelihood, BC 95% CI biased corrected confidence intervals (95%), β unstandardized path coefficient, βs standardized path coefficient, SE standard error; computed according to Sobel (1982) formula of indirect effect.
  2. *p < 0.05, ***p < 0.001.