La Trobe
1177976_Riggio,G_2021.pdf (332.66 kB)

The dog–owner relationship: Refinement and validation of the italian c/dors for dog owners and correlation with the laps

Download (332.66 kB)
journal contribution
posted on 06.09.2021, 02:03 by G Riggio, P Piotti, S Diverio, C Borrelli, F Di Iacovo, A Gazzano, Tiffani HowellTiffani Howell, F Pirrone, C Mariti
The Cat/Dog–Owner Relationship Scale (C/DORS) can be administered to both dog and cat owners. However, the scale as a whole has never been validated on a sample of dog owners. Furthermore, it has never been translated into Italian. The aim of this study was to translate the C/DORS into Italian, modify its response scale in order to improve the degree of response variability, and test its validity and reliability on a sample of dog-owners. Exploratory factor analysis revealed the same three-factor structure (Perceived Emotional Closeness = PEC, Pet–Owner Interactions = POI, Perceived Costs = PC) as the original English version, although some items had to be removed because of low-or cross-loadings. The validity of the construct was confirmed by confirmatory factor analysis, by the correlations between each of the subscales and the C/DORS total score, and by the correlations with the Lexington Attachment to Pets Scale. Cronbach’s α values for each subscale were above acceptable levels. Student owners scored higher on PEC and POI than owners with other occupations. Owners of dogs with behavioural problems scored lower on PEC and higher on PC. Keeping the dog outdoor was associated with lower POI. Finally, pet dog owners scored higher on PEC than AAI dog owners.

History

Publication Date

22/07/2021

Journal

Animals

Volume

11

Issue

8

Article Number

2166

Pagination

19p.

Publisher

MDPI

ISSN

2076-2615

Rights Statement

© 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).

Usage metrics

Categories

Licence

Exports