University of Tasmania
Browse

File(s) under permanent embargo

Do you see what I see? Can non-experts with minimal training reproduce expert ratings in behavioral assessments of working dogs?

journal contribution
posted on 2023-05-18, 15:41 authored by Fratkin, JL, Sinn, DL, Thomas, S, Hilliard, S, Olson, Z, Gosling, SD

Working-dog organizations often use behavioral ratings by experts to evaluate a dog's likelihood of success. However, these experts are frequently under severe time constraints. One way to alleviate the pressure on limited organizational resources would be to use non-experts to assess dog behavior. Here, in populations of military working dogs (Study 1) and explosive-detection dogs (Study 2), we evaluated the reliability and validity of behavioral ratings assessed by minimally trained non-experts from videotapes. Analyses yielded evidence for generally good levels of inter-observer reliability and criterion validity (indexed by convergence between the non-expert ratings and ratings made previously by experts). We found some variation across items in Study 2 such that reliability and validity was significantly lower for three out of the 18 items, and one item had reliability and validity estimates that were impacted heavily by the behavioral test environment. There were no differences in reliability and validity based on the age of the dog. Overall the results suggest that ratings made by minimally trained non-experts for most items can serve as a viable alternative to expert ratings freeing limited resources of highly trained staff.

This article is part of a Special Issue entitled: Canine Behavior.

History

Publication title

Behavioural Processes

Volume

110

Pagination

105-116

ISSN

0376-6357

Department/School

School of Natural Sciences

Publisher

Elsevier Science Bv

Place of publication

Po Box 211, Amsterdam, Netherlands, 1000 Ae

Rights statement

Copyright 2014 Elsevier B.V.

Repository Status

  • Restricted

Socio-economic Objectives

Expanding knowledge in the environmental sciences

Usage metrics

    University Of Tasmania

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC