Table 4 Results of the multiple regression analysis
Dependent variable | Gender | Management experience | Years since graduation | Management course | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
b | beta | p | b | beta | p | b | beta | p | b | beta | p | |
Denmark | ||||||||||||
Overall | .108 | .135 | .001 | .181 | .229 | .000 | NS | .082 | .160 | .001 | ||
Management and Leadership | .139 | .142 | .001 | NS | NS | .111 | .027 | .027 | ||||
Organization and Finance | .148 | .099 | .016 | .281 | .190 | .000 | NS | .121 | .047 | .010 | ||
Operational Management | NS | .133 | .125 | .003 | NS | .126 | .034 | .000 | ||||
Professional Ethics | .097 | .088 | .033 | .210 | .193 | .000 | .187 | .123 | .012 | NS | ||
Career planning | .224 | .161 | .000 | .297 | .215 | .000 | NS | NS | ||||
Canada | ||||||||||||
Overall | NS | .292 | .290 | .000 | .201 | .166 | .037 | NS | ||||
Management and Leadership | NS | .235 | .205 | .014 | NS | NS | ||||||
Organization and Finance | NS | .392 | .255 | .002 | NS | .435 | .192 | .018 | ||||
Operational Management | NS | NS | NS | NS | ||||||||
Professional Ethics | NS | .226 | .173 | .037 | .310 | .197 | .015 | NS | ||||
Career planning | NS | .506 | .319 | .000 | .487 | .255 | .001 | NS | ||||
Australia | ||||||||||||
Overall | NS | .178 | .216 | .007 | NS | NS | ||||||
Management and Leadership | NS | NS | .244 | .174 | .023 | NS | ||||||
Organization and Finance | NS | NS | NS | NS | ||||||||
Operational Management | NS | .203 | .164 | .041 | NS | NS | ||||||
Professional Ethics | NS | .188 | .163 | .046 | NS | NS | ||||||
Career planning | .270 | .203 | .008 | NS | NS | NS | ||||||
Netherlands | ||||||||||||
Overall | NS | .172 | .238 | .003 | NS | NS | ||||||
Management and Leadership | NS | NS | NS | NS | ||||||||
Organization and Finance | NS | .292 | .237 | .003 | NS | NS | ||||||
Operational Management | NS | NS | NS | NS | ||||||||
Professional Ethics | NS | .200 | .208 | .011 | NS | NS | ||||||
Career planning | NS | NS | NS | NS | ||||||||