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Table 7 Full CFA model including research dimensions: correlations between latent factors

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

  

Novelty

Complexity

Autonomy

Research

  

Var

Dyn.-react

Dyn.-proact

Meth

Sched

Crit

Res. cons

Res. act

Novelty

1.00

        

Complexity

Var

0.66

1.00

       

Dyn.-react

0.63

0.80

1.00

      

Dyn.-proact

0.71

0.90

0.76

1.00

     

Autonomy

Meth

0.74

0.65

0.44

0.70

1.00

    

Sched

0.45

0.41

0.14

0.48

0.80

1.00

   

Crit

0.65

0.49

0.28

0.58

0.87

0.84

1.00

  

Research

Res. cons

0.51

0.39

0.29

0.53

0.52

0.36

0.46

1.00

 

Res. act

0.33

0.10

0.08

0.25

0.29

0.28

0.37

0.68

1.00

Model fit, N

\(\chi^{2} (337)\)= 767.551 (p = 0.000); RMSEA = 0.056 (90% CI: (0.051, 0.061)); CFI = 0.925; TLI = 0.911; N = 411

  1. Var Variety, Dyn.-react Dynamics-reactive, Dyn.-proact Dynamics-proactive, Meth Method, Sched  Scheduling, Crit Criteria, Res. cons  Research consumption, Res. act Research active
  2. Source: KWReq development study