ArticleScientific reports2022
Latent class analysis of behavior across dog breeds reveal underlying temperament profiles.
Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed, 20 citations in OpenAlex.
- Support-seeking and rehoming pathways differ by surrender circumstances among pet owners.PloS one · 2026Article
- Uncovering antimicrobial resistance structures inFrontiers in veterinary science · 2026Article
- The behavioral profile of a detection dog is tuned for the dog's role and their environment.Scientific reports · 2025Article
- Dog Guardian Interpretation of Familiar Dog Aggression Questions in the C-BARQ: Do We Need to Redefine "Familiar"?Animals : an open access journal from MDPI · 2025Article
- Behavioural differences and similarities between dog breeds: proposing an ecologically valid approach for canine behavioural research.Biological reviews of the Cambridge Philosophical Society · 2025Review
- Behavioral, Physiological, and Pathological Approaches of Cortisol in Dogs.Animals : an open access journal from MDPI · 2024Review
- You talkin' to me? Functional breed selection may have fundamentally influenced dogs' sensitivity to human verbal communicative cues.BMC biology · 2024Article
- A latent class analysis of biosecurity attitudes and decision-making strategies of swine producers in the United States.Scientific reports · 2024Article
- An artificial intelligence approach to predicting personality types in dogs.Scientific reports · 2024Article
- Genome sequencing of 2000 canids by the Dog10K consortium advances the understanding of demography, genome function and architecture.Genome biology · 2023Article
- Psychological Stress Is Associated with Increased Cancer Risk in Dogs.Animals : an open access journal from MDPI · 2023Article
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Authors and funding
4 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Latent class analysis (LCA) is a type of modeling analysis approach that has been used to identify unobserved groups or subgroups within multivariate categorical data. LCA has been used for a wide array of psychological evaluations in humans, including the identification of depression subtypes or PTSD comorbidity patterns. However, it has never been used for the assessment of animal behavior. Our objective here is to identify behavioral profile-types of dogs using LCA. The LCA was performed on a C-BARQ behavioral questionnaire dataset from 57,454 participants representing over 350 pure breeds and mixed breed dogs. Two, three, and four class LCA models were developed using C-BARQ trait scores and environmental covariates. In our study, LCA is shown as an effective and flexible tool to classify behavioral assessments. By evaluating the traits that carry the strongest relevance, it was possible to define the basis of these grouping differences. Groupings can be ranked and used as levels for simplified comparisons of complex constructs, such as temperament, that could be further exploited in downstream applications such as genomic association analyses. We propose this approach will facilitate dissection of physiological and environmental factors associated with psychopathology in dogs, humans, and mammals in general.
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