In a groundbreaking behavioral study published in the Journal of the American Veterinary Medical Association, Hart and Hart (Geyer) analyzed the behavior of 56 dog breeds using a computerized database across 13 behavioral traits. Through factor and cluster analysis, they identified key personality dimensions to help prospective pet owners select dogs better suited to their needs.
The researchers discovered that three main behavioral factors—reactivity, aggression, and trainability—accounted for 81% of the variation across the breed profiles. Using these factors, breeds were grouped into seven behavioral clusters, which broadly reflected traditional classifications such as working, sporting, hound, and terrier dogs.
Additionally, the study examined gender-based differences across the same behavioral traits. Male and female dogs differed on 10 out of 13 traits, showing consistent patterns that could be used to guide gender-based selection alongside breed choice.
By using these behavior-based profiles and gender tendencies, prospective dog owners can make more informed choices that align with their emotional temperament, physical activity levels, and household dynamics. The study concluded that such data-driven selection can greatly increase the likelihood of a successful and fulfilling pet-owner relationship.
Source: B. Hart and Lynette A. Hart (Geyer), Journal of the American Veterinary Medical Association, Volume 186, Issue 11, June 1, 1985, Pages 1181–1185.
