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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.