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Predictive Models for Assistance Dogs

Predictive Models for Assistance Dogs

A study looked at early predictive success of a potential assistance dog. At this time, the determination is not finalized until weeks into training, when the dog is close to 2 years old. Dogs in the study were evaluated with two candidate measures employed by Canine Companions for Independence (CCI), a national assistance dog organization headquartered in Santa Rosa, CA. The procedure utilized the Canine Behavioral Assessment and Research Questionnaire (C-BARQ) and a standardized temperament assessment known internally as the In-For-Training (IFT) test. Three predictive models were developed using C-BARQ scores, IFT scores, and a combination of scores. All three final models had accuracies ranging from 64 to 68%. Model predictions were most accurate for dogs predicted to have the lowest probability of success (ranging from 85 to 92% accurate for dogs in the lowest 10% of predicted probabilities), and moderately accurate for identifying the dogs most likely to succeed (ranging from 62 to 72% for dogs in the top 10% of predicted probabilities). Combining C-BARQ and IFT predictors into a single model did not improve overall accuracy, although it did improve accuracy for dogs in the lowest 20% of predicted probabilities. These results suggest that both types of assessments have the potential to be used as powerful screening tools, which can help earlier assistance dog selection and training.

Read more by clicking on the link below:

Predictive Models of Assistance Dog Training Outcomes Using the Canine Behavioral Assessment and Research Questionnaire and a Standardized Temperament Evaluation

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