Predictability of hunting: A logistical analysis of western Canadian hunters

This study uses logistic regression analytical techniques to examine the predictability of hunting for the three Canadian Prairie Provinces, using data from the 1996 Survey on the Importance of Nature to Canadians. The main objective was to examine several demographic predictor variables for potential correlation with a discrete dependent variable (hunted wildlife or not in 1996). Key findings include: men are 10 times more likely to hunt wildlife than females, rural residents are almost three times more likely to hunt than urban residents, those not working are less likely to hunt, those with a high school diploma or less are more likely to hunt than those with post-secondary education, and older people (50 years or more) are less likely to hunt than younger people. By use of an effective analytical tool and basic survey data, this study demonstrates that logistic regression may help improve decision-making practices for wildlife managers and policy makers.