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Table 5 Squared correlations between the constructs and average variance extracted (on the diagonal)

From: Validation of the Neonatal Satisfaction Survey (NSS-8) in six Norwegian neonatal intensive care units: a quantitative cross-sectional study

 

F1

F2

F3

F4

F5

F6

F7

F8

F1 Care and treatment

.464

       

F2 Doctors

.456**

.697

      

F3 Visit

.286**

.194**

.796

     

F4 Information

.438**

.370**

.178**

.679

    

F5 Facility

.267**

.183**

.227**

.145**

.552

   

F6 Parent anxiety

.040**

.020**

.025**

.027**

.044**

.665

  

F7 Discharge

.219**

.158**

.085**

.176**

.051**

.012*

.639

 

F8 Siblings

.254**

.124**

.070**

.115**

.085**

.077**

.083**

.736

  1. **Correlation is significant at the 0.01 level (2-tailed). *Correlation is significant at the 0.05 level (2-tailed)
  2. In the table above, we see that all the average variance-extracted values (bold) are larger than any of the squared correlations between pairs of contructs, that is, discriminant validity is established for all constructs