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. 2017 Nov 4;7(11):83. doi: 10.3390/ani7110083

Table 5.

Logistic regression results for agreement with reasons to hunt.

Variable Respondent Finds the Following Reason Acceptable to Hunt:
Food Trophy
Coefficient (SE) Marginal Effect (SE) Coefficient (SE) Marginal Effect (SE)
Under 45 −0.2827
(0.2190)
−0.0282
(0.0219)
−0.0003
(0.1560)
−0.0000
(0.0360)
Male 0.1431
(0.2153)
0.0141
(0.0213)
0.4011 ***
(0.1520)
0.0924
(0.0348)
College Graduate 0.1562
(0.2392)
0.0159
(0.0251)
−0.1687
(0.1730)
−0.0393
(0.0407)
Pet −0.1592
(0.2273)
−0.0155
(0.0217)
−0.3304 **
(0.1631)
−0.0770
(0.0383)
Visited a Livestock Operation −0.0515
(0.2510)
−0.0051
(0.0248)
0.2952 *
(0.1759)
0.0678
(0.0402)
Visited a Fair 0.6558 ***
(0.2467)
0.0649
(0.0242)
0.0481
(0.1868)
0.0111
(0.0431)
Respondent hunts 10.235 **
(0.5412)
0.0886
(0.0255)
0.7746 ***
(0.2226)
0.1873
(0.0550)
Respondent doesn’t know any hunters. −0.6997 ***
(0.2298)
−0.0752
(0.0266)
−0.3275 *
(0.1744)
−0.0744
(0.0389)
constant 10.788
(0.3479)
−0.6079
(0.2521)
Log Likelihood
Prob > Chi2
Pseudo R2
n
−3000.656
0.0000
0.0665
825
−5200.335
0.0000
0.0407
825

Note 1: For all variables the marginal effect is for discrete change of dummy variable from 0 to 1. Note 2: p-values: * p < 0.10, ** p < 0.05, *** p < 0.01.