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Table 2 Pearson correlation between Attitudes Toward Prisoners scale (ATP) sum scores and demographic variables in the total study sample and the sub-samples, and results from the ensuing linear regression analyses, entering all variables found to correlate significantly with the ATP scores

From: Attitudes towards prisoners, as reported by prison inmates, prison employees and college students

   Regression analysis with ATP score as dependent variable
Sample Pearson's correlation between ATP and other variables (p-value, 2-tailed) Variable entered by the forward conditional method Variable retained in final model Coefficients: Standardized β and p-value Model summary: R square
Independent variable      
Total study sample      
   Age .12 (.001) * * .15 <.001  
   Gender -.03 (.45)     
   Inmates vs. residual groups -.35 (<.001) * * -.36 <.001 .14
Prison inmates      
   Age -.001 (.98)     
   Gender .04 (.52)     
   Remanded vs. convicted .12 (.05) - - - -
   Number of previous convictions .03 (.58)     
Prison employees      
   Age .22 (<.001) * * .12 .04  
   Gender .13 (.01) *    
   Years of work experience .06 (.23)     
   Working in male vs. female prison .19 (<.001) * * .18 <.001  
   Prison officers vs. residual employees .24 (<.001) * * .19 <.001 .11
College students      
   Age .21 (.004) *    
   Gender .19 (.01) *    
   Business economics vs. other subjects studied .29 (<.001) * * .29 <.001 .09