Development and validation of a method for assessing individual behavioral characteristics of a domestic dog (<i>Canis lupus familiaris</i>) by online survey of owners

Assessment of individual behavioral characteristics (IBC) of domestic dogs is of both fundamental and practical interest to researchers. The paper presents the results of developing and assessing the reliability of a methodology for assessing IPC based on an online survey of owners who do not have special training. 4530 respondents took part in the survey. The questionnaire included 20 questions, which were rated on a Likert scale. Using the factor analysis method, 6 factors were identified, by which the IPC of different breed groups was compared according to the FCI classification, and the prognostic role of breed in determining differences in the IPC of dogs was assessed. A comparison of the data from our questionnaire with similar ones obtained in the USA and Japan (Q-BARK) showed that the identified factors generally coincided (Cronbach’s Alpha was 0.73, which indicates sufficient reliability of the methodology), although the questions for the Russian audience were formulated differently. Thus, this questionnaire can be used to assess the IPC, the formation of a modern behavioral portrait of a particular breed, its compliance with existing standards, as well as changes that occur as a result of the lack of selection, for example, for working qualities.

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Publication Details

Journal
Известия Российской академии наук Серия биологическая
Published
2024-12-26
DOI
https://doi.org/10.31857/10.31857/s1026347024060099
Primary Topic
Human-Animal Interaction Studies
Type
article
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article

Development and validation of a method for assessing individual behavioral characteristics of a domestic dog (Canis lupus familiaris) by online survey of owners

Yu. V. Ganitskaya, А. В. Суров, Victoria Gritsenko, N. Yu. Feоktistova et al.
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Известия Российской академии наук Серия биологическая
Human-Animal Interaction Studies
article

Development and validation of a method for assessing individual behavioral characteristics of a domestic dog (Canis lupus familiaris) by online survey of owners

Yu. V. Ganitskaya, А. В. Суров, Victoria Gritsenko, N. Yu. Feоktistova, A. A. Ever
article en

Abstract

Assessment of individual behavioral characteristics (IBC) of domestic dogs is of both fundamental and practical interest to researchers. The paper presents the results of developing and assessing the reliability of a methodology for assessing IPC based on an online survey of owners who do not have special training. 4530 respondents took part in the survey. The questionnaire included 20 questions, which were rated on a Likert scale. Using the factor analysis method, 6 factors were identified, by which the IPC of different breed groups was compared according to the FCI classification, and the prognostic role of breed in determining differences in the IPC of dogs was assessed. A comparison of the data from our questionnaire with similar ones obtained in the USA and Japan (Q-BARK) showed that the identified factors generally coincided (Cronbach’s Alpha was 0.73, which indicates sufficient reliability of the methodology), although the questions for the Russian audience were formulated differently. Thus, this questionnaire can be used to assess the IPC, the formation of a modern behavioral portrait of a particular breed, its compliance with existing standards, as well as changes that occur as a result of the lack of selection, for example, for working qualities.

Известия Российской академии наук Серия биологическая(6)
Moscow State Academy of Veterinary Medicine and Biotechnology named after Skryabin (RU), Severtsov Institute of Ecology and Evolution (RU)
Partnerships for the goals
Openalex Percentile: Top 73%
Human-Animal Interaction Studies
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Development and validation of a method for assessing individual behavioral characteristics of a domestic dog (<i>Canis lupus familiaris</i>) by online survey of owners — Yu. V. Ganitskaya, А. В. Суров, et al. · Известия Российской академии наук Серия биологическая (2024) | TGRS Research Map | TGRS