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Table 3 Hierarchical regression analyses testing the predictors of parents’ intention and behaviour to use child health information from the Internet to diagnose/treat and increase understanding

From: Predictive modelling: parents’ decision making to use online child health information to increase their understanding and/or diagnose or treat their child’s health

  

Diagnose/Treat

Increase Understanding

 

Variable

Step 1β

Step 2 β

Step 3 β

R2

R2Δ

Step 1 β

Step 2 β

Step 3 β

R2

R2Δ

Intention

          

1

Attitude

.38***

.31***

.28***

.76

.76***

.28***

.23***

.22***

.73

.73***

 

Subjective norm

.52***

.45***

.43***

  

.46***

.41***

.41***

  
 

PBC

.06*

.05

.06*

  

.31***

.28***

.27***

  

2

Risk

 

-.12**

-.13**

.77

.01**

 

-.12**

-.13***

.74

.01**

 

Group norm

 

.07*

.09*

   

.08**

.08**

  

3

Age

  

-.01

.78

.01**

  

.02

.75

.01**

 

Number of children

  

-.04

    

-.04

  
 

Medical background

  

-.09**

    

-.09**

  
 

Employment

  

.01

    

-.02

  
 

Education

  

-.02

    

.04

  
 

Hours/wk Internet

  

.05*

    

.03

  

Behaviour

          

1

Intention

.31***

.30*

.29*

.15

.15***

.41***

.37**

.36**

.12

.12***

 

PBC

.02

.02

.01

  

-.11

-.11

-.10

  

2

Attitude

 

-.06

-.05

.16

.01

 

-.07

-.08

.12

.01

 

Subjective norm

 

.18

.17

   

.11

.11

  
 

Risk

 

.05

.02

   

.01

-.01

  
 

Group norm

 

.00

.01

   

.00

-.00

  
 

Age

  

-.07

.18

.03

  

-.12

.16

.03

 

Number of children

  

.00

    

-.02

  
 

Medical background

  

-.13

    

-.07

  
 

Employment

  

-.01

    

-.03

  
 

Education

  

.08

    

.05

  
 

Hours/wk Internet

  

-.02

    

-.02

  
  1. *p < .05. **p < .01. ***p < .001.