Reproducibility of the Feline Five Model: a Multidimensional Examination of Personality in Cats 1.Introduction Acknowledgments 4. Cont. Design and Results 5. Conclusions K. Farley 1 , P. Garcia 1 , M. Alyetama 2 , and B. A. Chase 1 Programs in 1 Biology, 2 Psychology; University of Nebraska at Omaha, Omaha, NE • Personality refers to consistent individual differences in behavioral patterns. • Neuroticism reflects traits such as insecurity, anxiousness, fearfulness of people, and shyness; Dominance reflects traits such as bullying and aggression towards other cats; Impulsiveness reflects traits such as erratic behavior and recklessness; Extraversion reflects traits such as affectionateness and gentleness; Agreeableness reflects traits such inquisitiveness and inventiveness. • This study details how to provide a multifaceted approach to the personality of domestic cats using an FFM questionnaire completed by cat owners. • With the current data, five distinct clusters of personality were found from the personality data. • The results align with the findings from the Feline Five study by Carla A. Litchfield et al. • These results are important because understanding the cat’s personality can help cat owners better accommodate the environment and management of their cat. This research was supported by a Fund for Undergraduate Scholarly Experiences (FUSE) for Kayla Farley from the University of Nebraska at Omaha. This work was completed utilizing the Holland Computing Center of the University of Nebraska, which receives support from the Nebraska Research Initiative. 2. Aims 3. Design: Data Collection ● The factorability of the 52 cat personality survey items was examined using several well-known criteria (such as the K-elbow method), and based on these preliminary analyses the 52 cat personality survey items were subjected to Exploratory factor analysis (EFA). ● We used the K-elbow method of selecting the optimal number of clusters by fitting the K-Means model with a range of values for K. That is, if the line chart looks like an arm, then the “elbow” (the point of inflection on the curve) is a good indication that the underlying model fits best at that point. Top figure shows that 5 clusters is the optimal number of clusters for our data. Then, we used principal components analysis (PCA) to determine the potential number of factors within the data set. Bottom figure shows that the five dimensions clearly aggregate into five distinct clusters. ● In summary, the final analysis yielded five distinct factors that depict personality in pet domestic cats from our sample. ● The aim of this study is to analyze personalities of domestic cats using the FFM, a multidimensional personality assessment. ● To determine how many reliable factors depict personality in the domestic cat, and what traits they represent. Participants completed an online personality survey (the Feline Five) on Qualtrics® to describe their perceptions of their cat’s personality. The test consisted of 52 unique items that mention a species-relevant personality trait of cats with a brief description of that trait. The owner was then asked to rate whether their cat, in general, demonstrated each of the listed personality traits on a Likert-like scale ranging from 1 (almost never) to 7 (almost always). The numbers of items that were used to evaluate Neuroticism, Extraversion, Dominance, Impulsiveness, and Agreeableness was 15, 15, 12, 12, and 12, respectively. • The Feline Five Model is a comprehensive personality model comprised of five different dimensions: Neuroticism, Extraversion, Impulsiveness, Dominance and Agreeableness. The theory behind the model is that the placement on the continuum suggests the individual’s personality. ● Survey data (n = 346) were downloaded from Qualtrics® and initial data screening was conducted in Python 3.8. Some survey respondents had not answered all of the cat personality items – data from those respondents were removed (n = 307, after removing missing data points).