What is personality?

When you describe yourself and the people you know, the words you use might be different for each person. Maybe your sister is creative, and your brother is friendly. You could even describe your dog as playful and your neighbor’s cat as nervous! The descriptions are different because each of you has a different personality—that is, you differ from others in terms of how you feel, think, and behave. But where does your personality come from? Why are people different? Will your personality always be the same as it is now? Do animals have personalities too? In this article, we discuss what researchers know about personality, how it is studied, and what we all can learn from it

Physical topography is associated with human personality.

Regional differences in personality are associated with a range of consequential outcomes. But which factors are responsible for these differences? Frontier settlement theory suggests that physical topography is a crucial factor shaping the psychological landscape of regions. Hence, we investigated whether topography is associated with regional variation in personality across the United States (n = 3,387,014). Consistent with frontier settlement theory, results from multilevel modelling revealed that mountainous areas were lower on agreeableness, extraversion, neuroticism and conscientiousness but higher on openness to experience. Conditional random forest algorithms confirmed mountainousness as a meaningful predictor of personality when tested against a conservative set of controls. East-west comparisons highlighted potential differences between ecological (driven by physical features) and sociocultural (driven by social norms) effects of mountainous terrain.N

Geographically varying associations between personality and life satisfaction in the London metropolitan area.

Residential location is thought to influence people's well-being, but different individuals may value residential areas differently. We examined how life satisfaction and personality traits are geographically distributed within the UK London metropolitan area, and how the strength of associations between personality traits and life satisfaction vary by residential location (i.e., personality-neighborhood interactions). Residential area was recorded at the level of postal districts (216 districts, n = 56,019 participants). Results indicated that the strength of associations between personality traits and life satisfaction depended on neighborhood characteristics. Higher openness to experience was more positively associated with life satisfaction in postal districts characterized by higher average openness to experience, population density, and ethnic diversity. Higher agreeableness and conscientiousness were more strongly associated with life satisfaction in postal districts with lower overall levels of life satisfaction. The associations of extraversion and emotional stability were not modified by neighborhood characteristics. These findings suggest that people's life satisfaction depends, in part, on the interaction between individual personality and particular features of the places they live.This study was financially supported by Kone Foundation and the Academy of Finland (grant no. 268388).This is the accepted manuscript of the paper. The final version is available from PNAS at http://www.pnas.org/content/112/3/725

Fear, populism, and the geopolitical landscape: the “sleeper effect” of neurotic personality traits on regional voting behavior in the 2016 Brexit and Trump elections

Two recent electoral results - Donald Trump’s election as US president and the UK’s Brexit vote - have re-ignited debate on the psychological factors underlying voting behavior. Both campaigns promoted themes of fear, lost pride, and loss aversion, which are relevant to the personality dimension of Neuroticism, a construct previously not associated with voting behavior. To that end, we investigate whether regional prevalence of neurotic personality traits (Neuroticism, Anxiety, Depression) predicted voting behavior in the US (N = 3,167,041) and the UK (N = 417,217), comparing these effects with previous models, which have emphasized the roles of Openness and Conscientiousness. Neurotic traits positively predicted share of Brexit and Trump votes and Trump gains from Romney. Many of these effects persisted in additional robustness tests controlling for regional industrial heritage, political attitude, and socio-economic features, particularly in the US. The “sleeper effect” of neurotic traits may profoundly impact the geopolitical landscape

To Live Among Like-Minded Others: Exploring the Links Between Person-City Personality Fit and Self-Esteem.

Does it matter if your personality fits in with the personalities of the people where you live? The present study explored the links between person-city personality fit and self-esteem. Using data from 543,934 residents of 860 U.S. cities, we examined the extent to which the fit between individuals' Big Five personality traits and the Big Five traits of the city where they live (i.e., the prevalent traits of the city's inhabitants) predicts individuals' self-esteem. To provide a benchmark for these effects, we also estimated the degree to which the fit between person and city religiosity predicts individuals' self-esteem. The results provided a nuanced picture of the effects of person-city personality fit on self-esteem: We found significant but small effects of fit on self-esteem only for openness, agreeableness, and conscientiousness, rather than effects for all Big Five traits. Similar results and effect sizes were observed for religiosity. We conclude with a discussion of the relevance and limitations of this study.This is the author accepted manuscript. The final version is available from SAGE via http://dx.doi.org/10.1177/095679761562713

Cross-cultural variations in big five relationships with religiosity: a sociocultural motives perspective.

A sociocultural motives perspective (SMP) on Big Five relationships is introduced. According to the SMP, Agreeableness and Conscientiousness elicit assimilation to sociocultural norms, Openness elicits contrast from these norms, and Extraversion and Neuroticism are independent of sociocultural assimilation and contrast. Due to sociocultural assimilation, then, relationships of Agreeableness and Conscientiousness with an outcome wax (become more positive or less negative) with that outcome's increasing sociocultural normativeness. Due to sociocultural contrast, relationships of Openness with an outcome wane (become less positive or more negative) with that outcome's increasing sociocultural normativeness. We tested the SMP using religiosity as our outcome. Study 1 included 4 cross-sectional self-report data sets across 66 countries (N = 1,129,334), 50 U.S. states (N = 1,057,342), 15 German federal states (N = 20,885), and 121 British urban areas (N = 386,315). Study 2 utilized informant-report data across 37 countries (N = 544,512). Study 3 used longitudinal data across 15 German federal states (N = 14,858). Results consistently supported the SMP. Relationships of Agreeableness and Conscientiousness with religiosity were more positive in religious sociocultural contexts than in secular contexts. Relationships of Openness with religiosity were more negative in religious sociocultural contexts than in secular contexts. At a more general level, the SMP offers theory-driven explanations for cross-cultural variations in Big Five relationships with their outcomes.We thankfully acknowledge support from the German Research Foundation (DFG; GE 2515/3-1).This is the accepted manuscript. This article may not exactly replicate the final version published in the APA journal. It is not the copy of record. The final version is available from APA at http://psycnet.apa.org/psycinfo/2014-35855-001/

Cultural norm fulfillment, interpersonal belonging, or getting ahead? A large-scale cross-cultural test of three perspectives on the function of self-esteem.

What is the function of self-esteem? We classified relevant theoretical work into 3 perspectives. The cultural norm-fulfillment perspective regards self-esteem a result of adherence to cultural norms. The interpersonal-belonging perspective regards self-esteem as a sociometer of interpersonal belonging. The getting-ahead perspective regards self-esteem as a sociometer of getting ahead in the social world, while regarding low anxiety/neuroticism as a sociometer of getting along with others. The 3 perspectives make contrasting predictions on the relation between the Big Five personality traits and self-esteem across cultures. We tested these predictions in a self-report study (2,718,838 participants from 106 countries) and an informant-report study (837,655 informants from 64 countries). We obtained some evidence for cultural norm fulfillment, but the effect size was small. Hence, this perspective does not satisfactorily account for self-esteem's function. We found a strong relation between Extraversion and higher self-esteem, but no such relation between Agreeableness and self-esteem. These 2 traits are pillars of interpersonal belonging. Hence, the results do not fit the interpersonal-belonging perspective either. However, the results closely fit the getting-ahead perspective. The relation between Extraversion and higher self-esteem is consistent with this perspective, because Extraversion is the Big Five driver for getting ahead in the social world. The relation between Agreeableness and lower neuroticism is also consistent with this perspective, because Agreeableness is the Big Five driver for getting along with others.We acknowledge support from the German Research Foundation (DFG; Grant GE 2515/2-1).This is the author accepted manuscript. The final version is available from the American Psychological Association via http://dx.doi.org/10.1037/pspp000005

The developmental psychometrics of big five self-reports: Acquiescence, factor structure, coherence, and differentiation from ages 10 to 20.

How do youths ’ personality reports differ from those of adults? To identify the year-by-year timing of developmental trends from late childhood (age 10) to early adulthood (age 20), the authors examined Big Five self-report data from a large and diverse Internet sample. At younger ages within this range, there were large individual differences in acquiescent responding, and acquiescence variability had pronounced effects on psychometric characteristics. Beyond the effects of acquiescence, self-reports generally became more coherent within domains, and better differentiated across domains, at older ages. Impor-tantly, however, different Big Five domains showed different developmental trends. Extraversion showed especially pronounced age gains in coherence but no gains in differentiation. In contrast, Agreeableness and Conscientiousness showed large age gains in differentiation but only trivial gains in coherence. Neuroticism and Openness showed moderate gains in both coherence and differentiation. Comparisons of items that were relatively easy versus difficult to comprehend indicated that these patterns were not simply due to verbal comprehension. These findings have important implications for the study of personality characteristics and other psychological attributes in childhood and adolescence

Improving Prediction of Real-Time Loneliness and Companionship Type Using Geosocial Features of Personal Smartphone Data

Loneliness is a widely affecting mental health symptom and can be mediated by and co-vary with patterns of social exposure. Using momentary survey and smartphone sensing data collected from 129 Android-using college student participants over three weeks, we (1) investigate and uncover the relations between momentary loneliness experience and companionship type and (2) propose and validate novel geosocial features of smartphone-based Bluetooth and GPS data for predicting loneliness and companionship type in real time. We base our features on intuitions characterizing the quantity and spatiotemporal predictability of an individual's Bluetooth encounters and GPS location clusters to capture personal significance of social exposure scenarios conditional on their temporal distribution and geographic patterns. We examine our features' statistical correlation with momentary loneliness through regression analyses and evaluate their predictive power using a sliding window prediction procedure. Our features achieved significant performance improvement compared to baseline for predicting both momentary loneliness and companionship type, with the effect stronger for the loneliness prediction task. As such we recommend incorporation and further evaluation of our geosocial features proposed in this study in future mental health sensing and context-aware computing applications.This work was supported by Whole Communities—Whole Health, a research grand challenge at the University of Texas at AustinOffice of the VP for Researc