Skip to main content
. 2020 Sep 11;50(3):644–660. doi: 10.1007/s13280-020-01356-2

Table 3.

Parameter estimates (β) for the ordinal logistic regression analysis for (a) concern, (b) anthropogenic and (c) Imminence opinions. Data are aggregated when the opinions are treated as independent variables, i.e. aggregated values group negative and positive responses together (‘yes’ with ‘probably yes’ and ‘no’ with ‘probably not’) with ‘maybe’ kept as a neutral reference point. Threshold represents the response variable, e.g. for a), y-axis: concern that is assessed against independent variable data (x-axis: anthropogenic (aggregated), imminence (aggregated), country and gender)

(a) Concern β Std. error Wald df Sig. 95% confidence interval
Lower bound Upper bound
 Threshold, i.e. response variable Concern = ‘no’ − 3.213 0.619 26.937 1 < .001*** − 4.426 − 2
Concern = ‘probably not’ − 1.884 0.446 17.812 1 < .001*** − 2.759 − 1.009
Concern = ‘maybe’ − 0.358 0.39 0.842 1 0.359 − 1.123 0.407
Concern = ‘probably yes’ 1.224 0.395 9.628 1 0.002 0.451 1.997
 Independent variables, i.e. predictor variables Anthropogenic (aggregated) = ‘no/probably not’ − 0.027 0.426 0.004 1 0.949 − 0.863 0.808
Anthropogenic (aggregated) = ‘yes/probably yes’ 1.674 0.297 31.861 1 < .001*** 1.093 2.255
Anthropogenic =‘maybe’ 0a 0
Imminence (aggregated) = ‘no/probably not’ − 0.612 0.561 1.192 1 0.275 − 1.711 0.487
Imminence (aggregated) = ‘yes/probably yes’ 0.751 0.294 6.55 1 0.01** 0.176 1.327
Imminence =‘maybe’ 0a 0
Austria − 0.076 0.269 0.079 1 0.779 − 0.602 0.451
Australia 0a 0
Females − 0.078 0.206 0.144 1 0.704 − 0.481 0.325
Males 0a 0
(b) Anthropogenic β Std. error Wald df Sig. 95% confidence interval
Lower bound Upper bound
 Threshold, i.e. response variable Anthropogenic = ’no’ − 1.726 0.437 15.573 1 < .001*** − 2.583 − 0.869
Anthropogenic = ‘probably not’ − 1.038 0.408 6.471 1 0.011* − 1.838 − 0.238
Anthropogenic = ‘maybe’ 0.118 0.394 0.09 1 0.764 − 0.655 0.891
Anthropogenic = ‘probably yes’ 1.593 0.404 15.556 1 < .001*** 0.802 2.385
 Independent variables, i.e. predictor variables Concern (aggregated) = ‘no/probably not’ − 0.548 0.585 0.879 1 0.348 − 1.694 0.597
Concern (aggregated) = ‘yes/probably yes’ 1.325 0.315 17.651 1 < .001*** 0.707 1.943
Concern (aggregated) = ‘maybe’ 0a 0
Imminence (aggregated) = ‘no/probably not’ − 0.098 0.564 0.03 1 0.863 − 1.204 1.009
Imminence (aggregated) = ‘yes/probably yes’ 1.07 0.276 14.986 1 < .001*** 0.528 1.612
Imminence (aggregated) = ‘maybe’ 0a 0
Austria − 0.319 0.244 1.714 1 0.19 − 0.796 0.158
Australia 0a 0
Females − 0.431 0.187 5.291 1 0.021* − 0.799 − 0.064
Males 0a 0
(c) Imminence β Std. error Wald df Sig. 95% confidence interval
Lower bound Upper bound
 Threshold, i.e. response variable Imminence = ‘no’ − 3.16 0.512 38.07 1 < .001*** − 4.164 − 2.156
Imminence = ‘probably not’ − 2.693 0.472 32.559 1 < .001*** − 3.618 − 1.768
Imminence = ‘maybe’ − 0.939 0.413 5.169 1 0.023 − 1.749 − 0.13
Imminence = ‘probably yes’ 0.556 0.411 1.83 1 0.176 − 0.25 1.361
 Independent variables, i.e. predictor variables Concern (aggregated) = ‘no/probably not’ − 0.389 0.584 0.443 1 0.506 − 1.534 0.756
Concern (aggregated) = ‘yes/probably yes’ 0.586 0.324 3.259 1 0.071 − 0.05 1.222
Concern (aggregated) = ‘maybe’ 0a 0
Anthropogenic (aggregated) = ‘no/probably not’ − 0.122 0.432 0.079 1 0.778 − 0.968 0.724
Anthropogenic (aggregated) = ‘yes/probably yes’ 0.739 0.292 6.406 1 0.011* 0.167 1.311
Anthropogenic (aggregated) = ‘maybe’ 0a 0
Austria − 0.668 0.241 7.718 1 0.005** − 1.14 − 0.197
Australia 0a 0
Females − 0.225 0.189 1.410 1 0.235 − 0.596 0.146
Males 0a 0

***p < .001, **p < .01, *p < 0.05

aThis parameter is set to zero because it is redundant as it is the neutral reference point against which the other variables are analysed