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
| Â | Â | 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 | Â | Â | Â | Â | Â |
Total study sample | Â | Â | Â | Â | Â |
   Age | .12 (.001) | * | * | .15 <.001 |  |
   Gender | -.03 (.45) |  |  |  |  |
   Inmates vs. residual groups | -.35 (<.001) | * | * | -.36 <.001 | .14 |
Prison inmates | Â | Â | Â | Â | Â |
   Age | -.001 (.98) |  |  |  |  |
   Gender | .04 (.52) |  |  |  |  |
   Remanded vs. convicted | .12 (.05) | - | - | - | - |
   Number of previous convictions | .03 (.58) |  |  |  |  |
Prison employees | Â | Â | Â | Â | Â |
   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 | Â | Â | Â | Â | Â |
   Age | .21 (.004) | * |  |  |  |
   Gender | .19 (.01) | * |  |  |  |
   Business economics vs. other subjects studied | .29 (<.001) | * | * | .29 <.001 | .09 |