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. 2023 Jul 15;9(7):e18351. doi: 10.1016/j.heliyon.2023.e18351

Table 3.

Binary logistic regression demonstrates that SOM clusters based on energy source preference.


Develop Alternative Energy
Phase out oil, coal, and gas

Model 1
Model 2
Model 3
Model 4
O.R. O.R. O.R. O.R.
Political Variables
Lib. Democrat (ref)
Mod/Con Democrat .659** .906 .518*** .576***
Lib/Mod Republican .151*** .296*** .167*** .245***
Cons. Republican .041*** .110*** .058*** .120***
Control Variables
Income Cat 1.030** 1.003 1.006 .977
Female/Other 1.072 1.063 1.323*** 1.453***
White (ref)
Hispanic 1.101 1.234 1.456*** 1.654***
African American .928 1.267 .743** .851
Other Race 1.262 1.094 1.289 1.283
College Degree 1.682*** 1.436*** 1.290*** 1.081
Region South (ref)
Region Northeast 1.090 1.148 .968 .931
Region Midwest 1.149 1.211* .855 .834*
Region West 1.222* 1.173 1.092 1.011
Service Attendance .959 .975 .964 .961
Born Again .842* .874 1.139 1.231**
Silent Generation 1.071 1.081 1.487** 1.424*
Boomer Gen. (ref)
Generation X 1.197* 1.300** 1.515*** 1.725***
Millennials 1.862*** 2.153*** 1.760*** 1.965***
Generation Z 1.701*** 1.753*** 1.831*** 1.991***
SOM Clusters
Cluster 1 (Universalists) .134*** .250***
Cluster 2 (Aberrants) .106*** .264***
Cluster 3 (Traditionalists) .032*** .164***
Cluster 4 (Renewers)
Pseudo R2 .400 .565 .279 .349
−2 Log Likelihood 6428.696 5187.219 6013.312 5620.394

Note: All data are weighted to adjust for non-response.

Significance markers: *** = >0.001; ** = >0.01; *= >0.05.