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. 2020 Oct 30;11:578562. doi: 10.3389/fpsyg.2020.578562

TABLE 8.

Binary probit regression predicting support for renewable energy.

Mean estimate 2.5th percentile 97.5th percentile
ThreatScale 0.173 0.004 0.347
KnownScale 0.085 –0.059 0.232
MoralScale 0.163 –0.018 0.352
EfficacyScale –0.050 –0.277 0.168
Conservative –0.010 –0.139 0.116
Female 0.076 –0.289 0.440
Age 0.057 –0.039 0.153
Age = Unknown 0.161 –0.175 0.508
Constant –0.242 –0.537 0.036

Dependent variable: “Which of the following types of research do you think governments should fund now with tax dollars? Research to… make renewable energy cheaper and better (1 = Yes, 0 = No, N = 400). Mean Log Likelihood = −223, Nagelkerke pseudo-R2 = 0.23. Bootstrapped confidence intervals