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Table 2 Correlation matrix among indicators

From: The influence of locus of control on self-rated health in context of chronic disease: a structural equation modeling approach in a cross sectional study

  Min Max Std-Dev 1 2 3 4 5 6 7
1. Gender 1 2 .50        
2. Age 22 89 9.52 .06       
3. Education level 1 3 .84 -.09 -.27**      
4. Internal MHLCa 6 36 5.37 -.16** -.05 -.03     
5. Chance MHLCa 6 33 4.59 .02 .13** -.28** .17**    
6. Powerful others MHLCa 7 36 5.26 -.22** .24** -.11* .22** .22**   
7. Disease burden 0 9 1.60 .05 .06 -.02 -.13** .14** .02  
8. Self-rated health 1 5 .77 .00 -.09 .10* .22** -.18** -.14** -.36**
  1. *Correlation is significant at the 0.05 level.
  2. **Correlation is significant at the 0.01 level.
  3. aMultidimensional health locus of control in index-form, ranging from 6 to 36.
  4. Maximum (max), minimum (min), standard deviations (Std-Dev) and correlations indicated. The matrix has been calculated with Spearman’s correlation coefficient. An index from 6 to 36 was used for each dimension of health locus of control.