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Table 4 Pattern matrix

From: Analyzing the moderating effects of respondent type and experience on the fuel efficiency improvement in air transport using structural equation modeling

Parameters

Factor

 

1

2

3

4

5

AFP2

  

.802

  

AFP3

  

.707

  

AFP4

  

.677

  

AFP5

  

.924

  

AFP6

  

.929

  

AFP7

  

.696

  

SEP1

.808

    

SEP2

.807

    

SEP3

.946

    

SEP4

.972

    

SEP5

.852

    

SEP6

.692

    

SEP7

.668

    

AI1

 

.662

   

AI2

 

.866

   

AI3

 

.823

   

AI4

 

.868

   

AI5

 

.842

   

AI6

 

.788

   

AI7

 

.886

   

ATD1

    

.715

ATD2

    

.705

ATD3

    

.674

ATD4

    

.778

AO2

   

.825

 

AO3

   

.902

 

AO4

   

.754

 

AO5

   

.716

 
  1. Extraction Method: Maximum Likelihood
  2. Rotation Method: Promax with Kaiser Normalization
  3. Rotation converged in 6 iterations