Animal Personality

2016 ◽  
Author(s):  
Alexander Weiss ◽  
Marieke Gartner
Keyword(s):  
Social Relationships ◽  
Factor Model ◽  
Five Factor Model ◽  
Animal Personality ◽  
Well Being ◽  
Life History Strategies ◽  
Life Outcomes ◽  
Personality Research ◽  
Working Together ◽  
Personality Facets

Animal personality has been studied for decades, and a recent renaissance in the field has revealed links to health and life outcomes that echo those found in humans. Some of this research is tied to the Five Factor Model—the predominant model of human personality—which informs animal personality research as well, and allows for comparative work that points to evolutionary pathways that delineate phylogenetic continuity. From personality facets and traits to factors, this work has implications for human and nonhuman animal genetics, life history strategies, survival, and well-being, as well as development and social relationships. Working together, scientists from a variety of fields who study personality can hope to puzzle out causality, use personality as a tool for health, and simply define personality, across species, and therefore evolutionary time.

scholarly journals Does Personality Similarity in Bottlenose Dolphin Pairs Influence Dyadic Bond Characteristics?

2017 ◽  
Vol 30 ◽  
Author(s):  
Kelsey R. Moreno ◽  
Lauren Highfill ◽  
Stan A. Kuczaj II
Keyword(s):  
Factor Model ◽  
Five Factor Model ◽  
Well Being ◽  
Social Structures ◽  
Life History Strategies ◽  
Personality Factor ◽  
Naturalistic Environment ◽  
Animal Care ◽  
Captive Animal ◽  
Bond Characteristics

Social structures are critical to the success of many species and have repercussions on health, well-being, and adaptation, yet little is known about the factors which shape these structures aside from ecology and life history strategies. Dyadic bonds are the basis of all social structures; however, mechanisms for formations of specific bonds or patterns in which individuals form which types of bonds have yet to be demonstrated. There is a variety of evidence indicating personality may be a factor in shaping bonds, but this relationship has not been explored with respect to bond components and is yet to be demonstrated in dolphins. This study utilizes a captive population in a naturalistic environment to test for correlation between similarity within the dyad along each personality factor and the strength of the dyad’s bond characteristics. Personality was assessed using a Five Factor Model questionnaire. Dyadic bond strength and characteristic qualities were determined through an exploratory factor analysis to group behaviors recorded via underwater opportunistic focal-follow video. Discovered bond components differed from previous studies and were termed affiliative support, sociosexual, and conflict play. Individuals who differed in Extraversion and Neuroticism displayed greater levels of bonding. This study expands our understanding of the formation of bonds between individuals and the evolution of social structure. Furthermore, it better equips us for making informed environmental policy decisions and improving captive animal care.

scholarly journals Incremental Criterion Prediction of Personality Facets over Factors: Obtaining Unbiased Estimates and Confidence Intervals

2017 ◽  
Author(s):  
Jeromy Anglim ◽  
Sharon L. Grant
Keyword(s):  
Confidence Intervals ◽  
Regression Models ◽  
Factor Model ◽  
Five Factor Model ◽  
Well Being ◽  
R Package ◽  
Alternative Methods ◽  
Personality Facets ◽  
Unbiased Estimates ◽  
Level Analysis

Many researchers have argued that higher order models of personality such as the Five Factor Model are insufficient, and that facet-level analysis is required to better understand criteria such as well-being, job performance, and personality disorders. However, common methods in the extant literature used to estimate the incremental prediction of facets over factors have several shortcomings. This paper delineates these shortcomings by evaluating alternative methods using statistical theory, simulation, and an empirical example. We recommend using differences between Olkin-Pratt adjusted r-squared for factor versus facet regression models to estimate the incremental prediction of facets and present a method for obtaining confidence intervals for such estimates using double adjusted-r-squared bootstrapping. We also provide an R package that implements the proposed methods.

Can Big Five Facets Distinguish between Hedonic and Eudaimonic Well-Being? A Dominance Analysis

2016 ◽  
Vol 19 ◽  
Author(s):  
Rosario J. Marrero ◽  
Mar Rey ◽  
Juan Andrés Hernández-Cabrera
Keyword(s):  
Big Five ◽  
Personal Growth ◽  
Positive Emotions ◽  
Factor Model ◽  
Five Factor Model ◽  
Well Being ◽  
Unique Contribution ◽  
Relative Importance ◽  
Subjective Well Being ◽  
Personality Facets

AbstractIn this study, the aim was to analyze the relative importance of Five-Factor Model (FFM) personality facets for eudaimonic or psychological well-being (PWB) and hedonic or subjective well-being (SWB) through dominance analyses. The participants were 1,403 adult residents of Spain (mean age 37.2 years, SD = 13.9). As expected, facets captured a substantial proportion of the variance in PWB and SWB, with PWB being better predicted than SWB (explaining around 36–55% of the variance of PWB vs. 25% of the variance of SWB). Some facets were common to both types of well-being such as depression (explaining between 5–33% of the variance), vulnerability (explaining between 4–21% of the variance), positive emotions (explaining between 2-9% of the variance) and achievement striving (explaining between 2–10% of the variance), whereas others made a unique contribution according to type of well-being. Certain facets had a greater relative importance for women’s well-being -e.g., positive emotions explained 9% of the variance of self-acceptance for women vs. 3% for men- and others for men’s well-being -e.g., achievement striving explained 9% of the variance of personal growth for men vs. 2% for women-. The present results contribute to the literature by identifying which Big Five facets showed greater relative importance in explaining and distinguishing between PWB and SWB for women and men.

scholarly journals Personality and Problematic Smartphone Use: A Facet-Level Analysis using the Five Factor Model and HEXACO Frameworks

2018 ◽  
Author(s):  
Sharon Horwood ◽  
Jeromy Anglim
Keyword(s):  
Social Relationships ◽  
Regression Models ◽  
Factor Model ◽  
Five Factor Model ◽  
Well Being ◽  
Daily Functioning ◽  
Problematic Smartphone Use ◽  
Problematic Use ◽  
Smartphone Use ◽  
Level Analysis

Problematic smartphone use can be defined as compulsive use that leads to impaired daily functioning in terms of productivity, social relationships, physical health, or emotional well-being. The current study provides a comprehensive assessment of how the broad and narrow traits of the HEXACO and Five Factor Models of personality predict problematic smartphone use. A sample of Australian adults (n = 393, 79% female; mean age = 24.4, SD = 7.1) completed the 300-item IPIP NEO and the 200-item HEXACO-PI-R, along with measures of general and problematic smartphone use. Participants reported high levels of problematic smartphone use. Problematic smartphone use was positively correlated with neuroticism and negatively correlated with conscientiousness. Facet-level analysis highlighted the importance of several facets including impulsiveness, vulnerability, and anxiety as positive correlates and dutifulness, competence, self-discipline, and deliberation as negative correlates of problematic smartphone use. In the HEXACO framework, honesty-humility, agreeableness, conscientiousness, and openness all showed moderate negative correlations with problematic smartphone use, and emotionality was positively correlated with problematic smartphone use. Regression models indicated that narrow traits provide modest incremental prediction of problematic use. Overall, the study highlights the importance of personality traits for understanding predispositions to engage in problematic smartphone use.

Factorial Invariance of Child Self-Report Across English and Spanish Language Groups in a Hispanic Population Utilizing the PedsQL™ 4.0 Generic Core Scales

2010 ◽  
Vol 26 (3) ◽  
pp. 194-202 ◽  
Author(s):  
Daniel A. Newman ◽  
Christine A. Limbers ◽  
James W. Varni
Keyword(s):  
Health Care Services ◽  
Factor Model ◽  
Five Factor Model ◽  
Well Being ◽  
Factorial Invariance ◽  
Spanish Language ◽  
Self Report ◽  
Hispanic Population ◽  
Language Groups ◽  
Related Quality

The measurement of health-related quality of life (HRQOL) in children has witnessed significant international growth over the past decade in an effort to improve pediatric health and well-being, and to determine the value of health-care services. In order to compare international HRQOL research findings across language groups, it is important to demonstrate factorial invariance, i.e., that the items have an equivalent meaning across the language groups studied. This study examined the factorial invariance of child self-reported HRQOL across English- and Spanish-language groups in a Hispanic population of 2,899 children ages 8–18 utilizing the 23-item PedsQL™ 4.0 Generic Core Scales. Multigroup confirmatory factor analysis (CFA) was performed specifying a five-factor model across language groups. The findings support an equivalent 5-factor structure across English- and Spanish-language groups. Based on these data, it can be concluded that children across the two languages studied interpreted the instrument in a similar manner. The multigroup CFA statistical methods utilized in the present study have important implications for cross-cultural assessment research in children in which different language groups are compared.

Development of a Measure of Calculative Mindset (CM): Establishing a Nomological Net and Predictive Utility of the CM Measure

2021 ◽  
pp. 003329412110102
Author(s):  
Joongseo Kim ◽  
I. M. Jawahar ◽  
Brigitte Steinheider ◽  
Thomas Stone ◽  
Brandon Ferrell
Keyword(s):  
Organizational Citizenship ◽  
Factor Model ◽  
Five Factor Model ◽  
Experimental Studies ◽  
Field Research ◽  
Performance Outcomes ◽  
Work Behavior ◽  
Hierarchical Regression ◽  
Organizational Contexts ◽  
Personality Research

A calculative mindset (CM) describes the tendency to analyze and convert qualitative social values into numeric or monetary metrics and is a predisposition that shapes behaviors and actions of the employee. CM has been manipulated in experimental studies, but it has not been investigated in field research due to the absence of a scale to measure CM. In study 1, we followed Hinkin’s scale development protocol to conceptualize, develop, and validate a measure of CM to facilirate research in organizational contexts. In Study 2, we examined the relationship between CM and measures of performance, counterproductive work behavior (CWB), organizational citizenship behaviors (OCB), and in role-performance (IRP). Results from hierarchical regression analyses indicate that CM is related to these performance outcomes and explains incremental variance over established measures of the Five-Factor Model of personality. Implications for personality research, selection of human resources, and facilitation of an ethical workplace are discussed.

scholarly journals Sustainable Development Goals and Investment Strategies: The Profitability of Using Five-Factor Fama-French Alphas

2020 ◽  
Vol 12 (5) ◽  
pp. 1842 ◽  
Author(s):  
José Luis Miralles-Quirós ◽  
María Mar Miralles-Quirós ◽  
José Manuel Nogueira
Keyword(s):  
Sustainable Development ◽  
Sustainable Development Goals ◽  
Factor Model ◽  
Five Factor Model ◽  
Well Being ◽  
Good Health ◽  
Investment Strategy ◽  
Investment Strategies ◽  
Responsible Investment ◽  
Development Goals

This study focuses on assets related to Sustainable Development Goals (SDGs), which are the most recent aspect of the Socially Responsible Investment framework and have caught the attention of investors due to their investment opportunities as well as the global challenges that can be achieved. The profitability of developing an investment strategy is shown based on the value of the alphas obtained from the estimation of the Fama-French five-factor model when compared to an equally weighted portfolio, even when transaction costs are taken into consideration. In addition, it is proven that investors should focus their investments on two main SDGs: Good health and well-being (Goal 3) and Industry, innovation and infrastructure (Goal 9).

Sign in / Sign up

Export Citation Format

Share Document