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      Physical and Behavioral Measures that Predict Cats’ Socialization in an Animal Shelter Environment during a Three Day Period

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          Abstract

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          Information from surveys completed by the cats’ caregivers provided a score for the level of socialization of cats. We examined the effectiveness of structured assessments and measures in their ability to distinguish More and Less Socialized cats in a shelter-like setting over a three day period. Statistical models were developed that best predicted More and Less Socialized cats. Measures from these models were used to calculate a point system where more points indicated more socialization. In combination with key socialized behaviors, these points were able to fairly accurately distinguish More Socialized from Less Socialized cats.

          Abstract

          Animal welfare organizations typically take in cats with unknown levels of socialization towards humans, ranging from unsocialized cats well-socialized but lost pets. Agencies typically determine the socialization status and disposition options of cats within three days, when even a well-socialized pet may be too frightened of the unfamiliar surroundings to display its typical behavior. This is the third part of a three-phase project to develop and evaluate a reliable and valid tool to predict cats’ socialization levels. We recruited cats from the full spectrum of socialization and, using information from the cats’ caregivers regarding typical behavior toward familiar and unfamiliar people, assigned each cat to a Socialization Category. This information was compared to the cats’ behavior during three days of structured assessments conducted in a shelter-like setting. The results of logistic regression modeling generated two models using assessments from the mornings of the second and third day, focusing on predicting shyer or more aloof but socialized cats. Using the coefficients from each of these models, two sets of points were calculated which were useful in differentiating More and Less Socialized cats. In combination with key socialized behaviors, these points were able to fairly accurately identify More and Less Socialized cats.

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          Most cited references17

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          Gender differences in the social behavior of the neutered indoor-only domestic cat

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            Important behavioral traits for predicting guide dog qualification.

            Guide dogs for the blind help blind people physically and mentally in their daily lives. Their qualifications are based on health, working performance and temperament; approximately 70% of dogs that fail to qualify are disqualified for behavioral reasons. In order to achieve early prediction of qualification, it would be essential as the first step to identify important temperament traits for guide dogs. Therefore, we administered a questionnaire consisting of 22 temperament items to experienced trainers to assess candidate dogs at the Japan Guide Dog Association after three months of training, which was at least three months prior to the final success (qualified as a guide dog) or failure (disqualified for behavioral reasons) judgment. Factor analyses of question items stably extracted three factors with high internal consistency, Distraction, Sensitivity and Docility. When we compared factor points between successful dogs and failed dogs, the successful dogs showed significantly and consistently lower Distraction points and higher Docility points. Additionally, Distraction points could predict qualification with 80.6% accuracy and detect 28.2% of the failed dogs that had higher Distraction points than any of the successful dogs. Of the nine question items not included in the three factors, two items (;Aggression' and ;Animal interest') were consistently associated with qualification. These results suggest that Distraction is stably assessable and has the strongest impact on success or failure judgment; therefore, it will be the first target to establish a behavioral test that may lead to early prediction of guide dog qualification.
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              Birth and death rate estimates of cats and dogs in U.S. households and related factors.

              Studies report variable factors associated with dog and cat surpluses in the United States. Estimates of cat and dog birth and death rates help understand the problem. This study collected data through a commercial survey company, distributing questionnaires to 7,399 cat- and dog-owning households (HHs) in 1996. The study used an unequal probability sampling plan and reported estimates of means and variances as weighted averages. The study used estimates of HHs and companion animals for national projections. More than 9 million owned cats and dogs died during 1996-yielding crude death rates of 8.3 cat deaths/100 cats in HHs and 7.9 dog deaths/100 dogs in HHs. The study reported twice as many kitten as puppy litters, with an average litter size of 5.73 and 7.57, respectively. The study reported data on planned versus unplanned litters, reasons caregivers did not spay females, disposition of litters, and sources of animals added to HHs. These first national estimates indicate the magnitude of, and reasons for, animals leaving HHs. The crude birth rate was estimated to be 11.2 kittens/100 cats in HHs and 11.4 puppies/100 dogs in HHs.
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                Author and article information

                Journal
                Animals (Basel)
                Animals (Basel)
                animals
                Animals : an Open Access Journal from MDPI
                MDPI
                2076-2615
                18 December 2013
                December 2013
                : 3
                : 4
                : 1215-1228
                Affiliations
                [1 ]Shelter Research and Development, Community Outreach, American Society for the Prevention of Cruelty to Animals (ASPCA ®), 50 Stone Ridge Drive, Florence, MA 01062, USA
                [2 ]Shelter Research and Development, Community Outreach, American Society for the Prevention of Cruelty to Animals (ASPCA ®), P.O. Box 408, Little Silver, NJ 07739, USA; E-Mail: laurie.garrison@ 123456aspca.org
                [3 ]Shelter Research and Development, Community Outreach, American Society for the Prevention of Cruelty to Animals (ASPCA ®), 520 Eighth Avenue, 7th Floor, New York, NY 10018, USA; E-Mail: katherine.miller@ 123456aspca.org
                [4 ]Shelter Research and Development, Community Outreach, American Society for the Prevention of Cruelty to Animals (ASPCA ®), 3201 SW Winding Way, Palm City, FL 34990, USA; E-Mail: emily.weiss@ 123456aspca.org
                [5 ]Shelter Research and Development, Community Outreach, American Society for the Prevention of Cruelty to Animals (ASPCA ®), P.O. Box 4323, Arlington, VA 22204, USA; E-Mail: natasha.drain@ 123456aspca.org
                [6 ]Veterinary Outreach, Community Outreach, American Society for the Prevention of Cruelty to Animals (ASPCA ®), P.O. Box 1144, Orchard Park, NY 14127, USA; E-Mail: kathleen.makolinski@ 123456aspca.org
                Author notes
                [* ]Author to whom correspondence should be addressed; E-Mail: margaret.slater@ 123456aspca.org ; Tel.: +1-217-855-8394.
                Article
                animals-03-01215
                10.3390/ani3041215
                4494369
                c5edce64-79e9-4d3c-94d2-2328c6dbaf8e
                © 2013 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 license ( http://creativecommons.org/licenses/by/3.0/).

                History
                : 10 September 2013
                : 12 December 2013
                : 12 December 2013
                Categories
                Article

                feral cat,socialization,animal shelter,behavior,cat rescue,stray cat,logistic regression,cat

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