Table 3 Ordinal regression models
| Â | Model 1, [95% CI] | Model 2, [95% CI] |
|---|---|---|
Main exogeneous variable | ||
 Focused Protection | 1.646*** [.9594258,2.332713] | 3.035*** [.9541268,5.115762] |
Country | ||
 Denmark | .99** [.0745461,1.904537] | 1.3** [.2262297,2.373463] |
 Sweden | −3.837*** [−4.982998,-2.690282] | − 3.653*** [− 4.833754,-2.472516] |
Locational factors | ||
 National public health institution | .328 [−.5178161,1.173866] | .379 [−.4718739,1.229217] |
 Seniority (management) | −.442 [−1.514791,.6311714] | −.385 [− 1.461717,.6923323] |
 Seniority (other) | −.701 [− 1.967297,.5651666] | −.711 [− 1.971304,.5500428] |
 Advised national government | .123 [−.4913383,.7370525] | .125 [−.488994,.7399688] |
Disciplinary factors | ||
 Discipline (ECON) | −.147 [−1.08057,.7863736] | −.127 [− 1.058946,.805931] |
 Discipline (LAB) | .59 [−.3414026,1.520423] | .586 [−.3430957,1.515832] |
 Discipline (PHEBS) | −.318 [−1.102371,.4665183] | −.346 [− 1.136617,.4455106] |
Demographic factors | ||
 Female | .425 [−.3013709,1.151985] | 457 [−.272152,1.186631] |
 Age | .001 [−.0279029,.0298005] | 0 [−.0286958,.0292863] |
Geography factors | ||
 Metropolis | −.36 [−1.035637,.3155528] | −.338 [− 1.015873,.3406098] |
Sampling factors | ||
 Expert list | −.348 [−1.102565,.4065451] | −.307 [− 1.062406,.448224] |
Interactions | ||
 Denmark*focused protection |  | −1.554 [−3.810335,.7018508] |
 Sweden*focused protection |  | −1.532 [−3.843457,.7792814] |
 /cut1 | −2.923*** [−4.983256,-.8628515] | − 2.774*** [− 4.849076,-.6995892] |
 /cut2 | 2.044** [.0773675,4.010873] | 2.315** [.2755515,4.353492] |
 Observations | 232 | 232 |
*** p < .01, ** p < .05, * p < .1 | ||