Causal Beliefs -Historical Factors | Â | |||
F (3, 205) = 19.79, p < .001, Adjusted R2 = .466 |  | |||
Predictors | β | SE | p | Zero order correlation |
Pre-course | .657 | .047 | .001 | .681 |
Age | .050 | .011 | .348 | .209 |
Gender | -.114 | .113 | .070 | -.037 |
Indigenous Identity | .005 | .143 | .916 | .916 |
Political Viewsa | ||||
 Conservatives | -.067 | .192 | .202 | -.130 |
 Liberal | -.046 | .143 | .676 | -.002 |
 Green | -.023 | .108 | .397 | .052 |
Health Professional Programa | ||||
 Medicine | -.039 | .133 | .491 | -.045 |
 Dentistry | -.136 | .121 | .037 | -.085 |
 Pharmacy | .047 | .202 | .381 | .085 |
Political Viewsb | ||||
 Conservatives | -.067 | .192 | .202 | -.130 |
 Liberal | -.046 | .143 | .676 | -.002 |
 Green | -.023 | .108 | .397 | .052 |
Blaming attitudes | ||||
F (10, 210) = 23.02, p < .001, Adjusted R2 = .500 | ||||
Predictors | β | SE | p | Zero order correlation |
Pre-course | .331 | .065 | .001 | .389 |
Age | .040 | .011 | .427 | .034 |
Gender | -.431 | .113 | .001 | -.601 |
Indigenous Identity | .038 | .149 | .434 | .019 |
Health Professional Programa | ||||
 Medicine | -.090 | .136 | .094 | -.144 |
 Dentistry | .114 | .126 | .072 | .433 |
 Pharmacy | -.151 | .216 | .003 | -.313 |
Political Viewsb | ||||
 Conservatives | .018 | .194 | .713 | -.056 |
 Liberal | .078 | .149 | .136 | .097 |
 Green | .107 | .111 | .041 | .145 |
Support for government social action or policies | ||||
F (10, 206) = 19.08, p < .001, Adjusted R2 = .456 | ||||
Predictors | β | SE | p | Zero order correlation |
Pre-course | .426 | .053 | .001 | .423 |
Age | .027 | .011 | .613 | .044 |
Gender | .450 | .113 |  < .001 | .508 |
Indigenous Identity | -.004 | .145 | .932 | .047 |
Health Professional Programa | ||||
 Medicine | .065 | .132 | .258 | .093 |
 Dentistry | -.043 | .122 | .514 | -.350 |
 Pharmacy | .156 | .210 | .004 | .282 |
Political Viewsb | ||||
 Conservatives | -.032 | .194 | .563 | -.069 |
 Liberal | -.002 | .143 | .971 | -.037 |
 Green | -.039 | .109 | .481 | -.086 |