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Table 9 Full CFA model of the KWReq questionnaire applied to the DZHW graduate panel 2009 (stand. factor loadings)

From: KWReq—a new instrument for measuring knowledge work requirements of higher education graduates

Item

Novelty

Complexity

Autonomy

Variety

Dynamics-reactivea

Dynamics-proactive

Method

Scheduling

Criteria

n3

0.77

      

n4

0.82

      

n6

0.80

      

n9

0.67

      

cv1

 

0.81

     

cv2

 

0.71

     

cv3

 

0.82

     

cdy3

  

0.68

    

cdy4

  

0.70

    

cdy5

  

0.75

    

cdy6

   

0.62

   

cdy7

   

0.60

   

cdy8

   

0.73

   

am1

    

0.80

  

am2

    

0.82

  

am3

    

0.81

  

as1

     

0.74

 

as2

     

0.85

 

as3

     

0.89

 

ac1

      

0.73

ac2

      

0.71

ac3

      

0.82

Alpha

0.85

0.82

0.79

0.68

0.85

0.86

0.79

Factor correlations

 Novelty

1.00

      

 Variety

0.48

1.00

     

 Dyn.-reactive

0.50

0.58

1.00

    

 Dyn.-proactive

0.74

0.66

0.75

1.00

   

 Method

0.55

0.24

0.23

0.34

1.00

  

 Scheduling

0.23

0.04

− 0.10

0.08

0.53

1.00

 

 Criteria

0.46

0.14

0.07

0.23

0.71

0.64

1.00

Model fit, N

\(\chi^{2} (187)\)= 2181.035 (p = 0.000); RMSEA = 0.056 (90% CI: (0.054, 0.058)); CFI = 0.944; TLI = 0.931; N = 3369

  1. aAllowing a correlation between the error terms of cdy3 and cdy4
  2. Source: DZHW graduate panel 2009, 3rd wave 2019