Evaluation of Characteristics Associated with Self-Identified Cat or Dog Preference in Pet Owners and Correlation of Preference with Pet Interactions and Care: An Exploratory Study

Dog and cat preference has been associated with a few factors, like owner personality traits, but data regarding other aspects of preference ontogeny and the impact of preferences on pet wellbeing have yet to be examined. In this exploratory study, several of these characteristics, such as exposure to pets when young and as adults and current pet interactions and diet were analyzed from internet survey data. We found that more people identified as dog people (63.3%) versus cat people (36.7%) and preference for dogs remained consistent from childhood to adulthood compared with cats. In individuals who changed species preference, a lack of childhood exposure to cats (47.2%) was significantly associated with the group that changed preferences from dogs to cats from childhood to adulthood, compared with dog ownership as a child in the group that changed preferences from cats to dogs (24.4%). The number of cats and dogs in the home directly correlated with species preference (p < 0.001). Dwelling location was also significantly associated with species preference, with cat people being more likely to live in an urban area and dog people in a rural area (p = 0.002). More time was spent in both active and passive interactions with pets of the preferred species. Cats owned by cat people were more likely to be fed prescription diets compared with cats owned by dog people (p < 0.001). Interestingly, dog people were more likely to feed both their cats (p = 0.012) and dogs (p < 0.001) a raw diet compared with cat people. Additional research is needed to understand the development and impact of owner species preferences on pets to identify risks of suboptimal wellbeing.

Bed partner perception of CPAP therapy on relationship satisfaction and intimacy-A European perspective from the ESADA network

Obstructive sleep apnea increases morbidity and mortality risks. The most common treatment is continuous positive airway pressure, with nasal mask usage being important, but not always optimal. While most research on treatment adherence focuses on the patient, the bed partner's involvement may be detrimental. Our study aim is to obtain a European-wide picture of the bed partner's attitude and support towards continuous positive airway pressure therapy, including effects on relationship satisfaction and intimacy. The English translation of a German bed partner questionnaire, assessing relationship satisfaction and three major components (general attitude, perceived mask looks, intimacy effects) was distributed within the European Sleep Apnea Database Network and translated in participating countries' local language. Data were collected for 2 years. In total, 10 European countries (13 sleep centres) participated with 1546 questionnaires. Overall, 91% of bed partners had a positive attitude towards continuous positive airway pressure therapy, 86% perceived mask looks not negative, 64% stated no negative intimacy effects. More specifically, 71% mentioned improved sleep quality, 68% supported nightly device usage. For 41% of bed partners, relationship satisfaction increased (no change for 47%). These results were significantly more pronounced in Eastern/Southern Europe compared with Middle Europe, especially regarding intimacy effects. However, increased continuous positive airway pressure therapy length affected attitude negatively. These results provide necessary information to improve treatment strategies by including educational couple-focused approaches. Among others, we revealed that negative intimacy effects are not considered a barrier to continuous positive airway pressure adherence. These results may inspire more research identifying regional gaps with need for treatment adjustments.

Implicit racial biases are lower in more populous more diverse and less segregated US cities

Implicit biases - differential attitudes towards members of distinct groups - are pervasive in human societies and create inequities across many aspects of life. Recent research has revealed that implicit biases are generally driven by social contexts, but not whether they are systematically influenced by the ways that humans self-organize in cities. We leverage complex system modeling in the framework of urban scaling theory to predict differences in these biases between cities. Our model links spatial scales from city-wide infrastructure to individual psychology to predict that cities that are more populous, more diverse, and less segregated are less biased. We find empirical support for these predictions in U.S. cities with Implicit Association Test data spanning a decade from 2.7 million individuals and U.S. Census demographic data. Additionally, we find that changes in cities' social environments precede changes in implicit biases at short time-scales, but this relationship is bi-directional at longer time-scales. We conclude that the social organization of cities may influence the strength of these biases.

Rural-urban differences in personality traits and well-being in adulthood

OBJECTIVE

One large focus of personality psychology is to understand the biopsychosocial factors responsible for adult personality development and well-being change. However, little is known about how macro-level contextual factors, such as rurality-urbanicity, are related to personality development and well-being change.

METHOD

The present study uses data from two large longitudinal studies of U.S. Americans (MIDUS, HRS) to examine whether there are rural-urban differences in levels and changes in the Big Five personality traits and well-being (i.e., psychological well-being, and life satisfaction) in adulthood.

RESULTS

Multilevel models showed that Americans who lived in more rural areas tended to have lower levels of openness, conscientiousness, and psychological well-being, and higher levels of neuroticism. With the exception of psychological well-being (which replicated across MIDUS and HRS), rural-urban differences in personality traits were only evident in the HRS sample. The effect of neuroticism was fully robust to the inclusion of socio-demographic and social network covariates, but other effects were partially robust (i.e., conscientiousness and openness) or were not robust at all (i.e., psychological well-being). In both samples, there were no rural-urban differences in Big Five or well-being change.

CONCLUSIONS

We discuss the implications of these findings for personality and rural health research.

State Resident Handedness, Ideology, and Political Party Preference: U.S. Presidential Election Outcomes Over the Past 60 Years

Pearson correlation, partial correlation, and multiple regression strategies determined the degree to which estimates of the level of left-handedness in each of the 48 contiguous American states related to citizen political ideology and to Democratic-Republican presidential popular vote over the past 60 years. Higher state levels of left-handedness were associated significantly with liberal ideology in each of the presidential election years from 1964 to 2016. Comparable ideology data were not available for 2020. Higher state levels of left-handedness also were associated with a greater degree of Democratic candidate popular vote support in each of the presidential election years from 1964 to 2020 except for 1976. The mean size of these 28 significant Pearson correlations involving the two political criteria was .62 (SD = .12) with a range of .38-.80, indicating handedness alone could account for a mean of 40.1% (SD = 14.9) of the variance in the two political preference variables. Corresponding multiple regressions showed that when state-level Big Five personality, White population percent, urbanization, and income variables were given the opportunity to enter the equations, handedness still emerged with a significant regression coefficient in 26 of the 28 equations. The two exceptions occurred for 1968 with either political preference criterion. It is speculated that such relations are grounded in hypothesized but poorly understood genetic links between handedness, personality, and political beliefs and attitudes, and, that a foundational genetic predisposition to left-handedness in a population may have much greater impact on correlates than overt levels of left-handedness.

Political context and immigrants' work-related performance errors: Insights from the National Basketball Association

In numerous countries, both international migration and regional support for far-right political parties are on the rise. This is important considering that a frequent aim of far-right political parties is to aggressively limit the inflow of immigrants. Understanding how regional far-right political support affects the immigrants working in these regions is therefore vital for executives and organizations as a whole. Integrating political science research at the macro-level with stereotype threat theory at the individual level, we argue that regional far-right political support makes negative immigrant stereotypes salient, increasing the number of work-related performance errors conducted by immigrants while reducing those by natives. Using objective field data from a professional sports context, we demonstrate how subordinates' immigrant status interacts with the political context in which they reside to predict their frequency of performance errors.

Depression, Cognition, and Pain: Exploring Individual, Cultural and Country-Level Effects Across Europe

The aim of this paper was to investigate the role of economic (eg, GDP per capita), political (eg, healthcare spending), cultural (country-level aggregates norms) and individual correlates (eg, depression) of pain in a secondary analysis of a sample of 76,000 adults in 19 countries across Europe. The sample was aggregated from 2 waves of the Study of Health, Ageing and Retirement in Europe cohort, using multilevel models with cross-level interactions between individual and country-level effects. While there has been extensive focus on individual risk factors (eg, depression, cognition, BMI), the role of social, political and cultural contextual factors has been relatively underexplored. In addition to replicating well-established individual risk factors (eg, increased depression), we demonstrate that higher levels of depression, chronic pain diagnosis, and collectivism, aggregated at the country-level, are also associated with increased pain severity. There was evidence that these country-level effects moderate the effect of individual correlates of pain. These results contribute to the literature by identifying the importance of broader cultural factors alongside individual psychological indices of pain reporting. PERSPECTIVE: In this study we model how individual, political and cultural factors influence pain in a large cross-national sample. In addition to replicating established individual effects, it shows how cultural (ie, collectivism) and political (eg, GDP, healthcare spending) factors affect individual expressions of pain, and how the cultural and individual factors interact with each other.

Social Movements as Parsimonious Explanations for Implicit and Explicit Attitude Change

Recently, interest in aggregate and population-level implicit and explicit attitudes has opened inquiry into how attitudes relate to sociopolitical phenomenon. This creates an opportunity to examine social movements as dynamic forces with the potential to generate widespread, lasting attitude change. Although collective action remains underexplored as a means of reducing bias, we advance historical and theoretical justifications for doing so. We review recent studies of aggregate attitudes through the lens of social movement theory, proposing movements as a parsimonious explanation for observed patterns. We outline a model for conceptualizing causal pathways between social movements and implicit and explicit attitudes among participants, supporters, bystanders, and opponents. We identify six categories of mechanisms through which movements may transform attitudes: changing society; media representations; intergroup contact and affiliation; empathy, perspective-taking, and reduced intergroup anxiety; social recategorization; and social identification and self-efficacy processes. Generative questions, testable hypotheses, and promising methods for future work are discussed.

A Socioecological-Genetic Framework of Culture and Personality: Their Roots, Trends, and Interplay

Culture and personality are two central topics in psychology. Individuals are culturally influenced influencers of culture, yet the research linking culture and personality has been limited and fragmentary. We integrate the literatures on culture and personality with recent advances in socioecology and genetics to formulate the Socioecological-Genetic Framework of Culture and Personality. Our framework not only delineates the mutual constitution of culture and personality but also sheds light on (a) the roots of culture and personality, (b) how socioecological changes partly explain temporal trends in culture and personality, and (c) how genes and culture/socioecology interact to influence personality (i.e., nature × nurture interactions). By spotlighting the roles of socioecology and genetics, our integrative framework advances the understanding of culture and personality.

The role of personality in neighborhood satisfaction

Urbanists have long been interested in understanding what makes people satisfied with their neighborhoods. However, relatively little is known about how residents' personality traits may affect their neighborhood satisfaction. In this paper, we explore the direct and indirect associations of personality traits with neighborhood satisfaction in a representative sample of adults in Michigan (USA). We find that each of the personality traits in the five factor model are associated with neighborhood satisfaction in the same way that they are known to be associated with subjective well-being. However, we fail to observe evidence that personality traits moderate the association between perceptions of neighborhoods and neighborhood satisfaction, or that personality's association with neighborhood satisfaction is mediated by neighborhood perceptions. We conclude that there is potential for drawing on theoretical and empirical developments in positive psychology for understanding neighborhood satisfaction, but observe that the underlying mechanisms for the association between personality and neighborhood satisfaction remain unknown.

In a double-bind: Time-space distanciation, socioeconomic status, and coping with financial stress in the United States

Psychological research has shown that lower socioeconomic status (SES) individuals experience higher levels of stress and tend to cope in more present-oriented ways. While some research in the field has sought to, for instance, increase future-oriented ways of being among lower SES individuals, we argue that such approaches may come at significant cost. We consider the construct of time-space distanciation (TSD) - the normative way in which time and space are abstracted from one another at cultural and individual levels - as a way to complicate psychological research on social class, stress, and coping. Across four studies, we present research on US geographical regions (Studies 1-2) and US participants (Studies 3-4) suggesting that adopting normative high-TSD orientations represents a double-bind for lower SES individuals: it allows one to enact more proactive coping strategies in the face of financial stressors such as debt (Studies 1-3), but it is also a source of disproportionate stress itself (Study 4), given the burdens faced by lower SES individuals trying to navigate time and space in culturally hegemonic ways in spite of precarity and material insecurity. We discuss how TSD offers a means of situating psychological research into precarity within the broader structural context of flexible capitalism.

C-H-E-A-T: Wordle Cheating Is Related to Religiosity and Cultural Tightness

Wordle is a daily, online brainteaser. The widespread popularity of the game in the early months of 2022 has also led to widespread cheating. Here, we use data from Google Trends and Twitter to explore correlates of cheating on Wordle. We find that cheating behavior is negatively related to religiosity and cultural tightness. Although this is a benign example of cheating behavior, we discuss how popular trends can be used as case studies of group-level behavior.

A validation of the Japanese adaptation of the Big Five Inventory-2

The purpose of this study was to adapt a Japanese version of the Big Five Inventory-2 (BFI-2-J) to examine its factor structure, reliability, validity, and measurement invariance. The BFI-2-J assesses five domains and 15 facets of the Big Five personality traits. We analyzed two datasets: 487 Japanese undergraduates and 500 Japanese adults. The results of the principal component analysis and confirmatory factor analysis revealed that the domain-facet structure of the BFI-2-J was similar to that of other language versions. The reliability of the BFI-2-J is sufficient. The correlation coefficients between the BFI-2-J and the other Big Five and self-esteem measures supported convergent and discriminant validity. Moreover, we confirmed measurement invariance across age and sex groups in domain-level and facet-level models. The results suggest that the BFI-2-J is a good instrument for measuring the Big Five personality traits and their facets in Japan. The BFI-2-J is expected to be useful in Japanese personality research and international comparative research.

Impact of cultural tightness on vaccination rate

We find that cultural tightness, that is, the level of social punishment for violating norms, is associated with lower vaccination rates against COVID-19 across both states and counties in the United States. This is consistent with individuals in tighter cultures being more likely to base risk management decisions on social norms rather than on advice from experts and leaders. It is also consistent with our documentation of a social norm against COVID-19 vaccination. This implies that when a society depends on individual action to help manage society-wide risks, social norms can influence the degree to which individuals in tighter societies will engage in actions that minimize the overall risk to the society.

The many geographical layers of culture

Uchiyama et al. present a dual inheritance framework for conceptualizing how behavioural genetics and cultural evolution interact and affect heritability. We posit that to achieve a holistic and nuanced representation of the cultural environment and evolution against which genetic effects should be evaluated, it is imperative to consider the multiple geographic cultural layers impacting individuals and genetic heritability.

Human Personality Is Associated with Geographical Environment in Mainland China

Recent psychological research shown that the places where we live are linked to our personality traits. Geographical aggregation of personalities has been observed in many individualistic nations; notably, the mountainousness is an essential component in understanding regional variances in personality. Could mountainousness therefore also explain the clustering of personality-types in collectivist countries like China? Using a nationwide survey (29,838 participants) in Mainland China, we investigated the relationship between the Big Five personality traits and mountainousness indicators at the provincial level. Multilevel modelling showed significant negative associations between the elevation coefficient of variation (Elevation CV) and the Big Five personality traits, whereas mean elevation (Elevation Mean) and the standard deviation in elevation (Elevation STD) were positively associated with human personalities. Subsequent machine learning analyses showed that, for example, Elevation Mean outperformed other mountainousness indicators regarding correlations with neuroticism, while Elevation CV performed best relative to openness models. Our results mirror some previous findings, such as the positive association between openness and Elevation STD, while also revealing cultural differences, such as the social desirability of people living in China's mountainous areas.

Patterned person-situation fit in daily life: Examining magnitudes, stabilities, and correlates of trait-situation and state-situation fit

Person-situation fit can be operationalized as within-person associations between profiles of personality traits and situation characteristics ( trait-situation fit) as well as personality states and situation characteristics ( state-situation fit). We provide an initial examination of basic properties (magnitudes, individual differences, reliabilities, intercorrelations), short-term stability (across weeks), and nomological correlates of overall and distinctive profile-level person-situation fits. In a real-life, multi-method multi-occasion design ( N = 204–209), we obtained data on participants’ traits (self- and informant-reported) as well as, at four time-points from their everyday lives, on situation characteristics (self- and coder-reported) and states (self-reported). Profile scores ( q-correlations) were computed across 35 cognate items between the CAQ (traits), RSQ (situations), and RBQ (states). Our descriptive and exploratory findings indicated that trait-situation and state-situation fits were sizable (overall more so than distinctive forms), and that there were substantial individual differences, which were only modestly stable during a short period and had some plausible nomological correlates (i.e., lower depression and neuroticism, but higher psychological well-being and happiness) that were driven mainly by normativity. Most findings replicated across measurement sources (self- vs. other-reports). Person-situation fit concepts, once further corroborated, could further personality-psychological research.

Effective Maps, Easily Done: Visualizing Geo-Psychological Differences Using Distance Weights

Psychologists of many subfields are becoming increasingly interested in the geographical distribution of psychological phenomena. An integral part of this new stream of geo-psychological studies is to visualize spatial distributions of psychological phenomena in maps. However, most psychologists are not trained in visualizing spatial data. As a result, almost all existing geo-psychological studies rely on the most basic mapping technique: color-coding disaggregated data (i.e., grouping individuals into predefined spatial units and then mapping out average scores across these spatial units). Although this basic mapping technique is not wrong, it often leaves unleveraged potential to effectively visualize spatial patterns. The aim of this tutorial is to introduce psychologists to an alternative, easy-to-use mapping technique: distance-based weighting (i.e., calculating area estimates that represent distance-weighted averages of all measurement locations). We outline the basic idea of distance-based weighting and explain how to implement this technique so that it is effective for geo-psychological research. Using large-scale mental-health data from the United States ( N = 2,058,249), we empirically demonstrate how distance-based weighting may complement the commonly used basic mapping technique. We provide fully annotated R code and open access to all data used in our analyses.

A methodology for preprocessing structured big data in the behavioral sciences

The characteristics of big data, including high volume, increased variety, and velocity, pose special challenges for data analysis. As these characteristics generally preclude manual data inspection and processing, researchers must often use computational methodologies to deal with this type of data; techniques that may be unfamiliar to nonspecialists, including behavioral scientists. However, previous data analytics methodologies within the field of computer science, developed to handle the generic tasks of data collection, preprocessing, and analysis, can be appropriated for use in other disciplines. These methodologies involve a sequential pipeline of quality checks to prepare data sets for analysis and application. Building upon these methodologies, this paper describes the Big Data Quality & Statistical Assurance (BDQSA) model, applicable for researchers in the behavioral sciences. It involves a series of data preprocessing tasks, to achieve data understanding, as well as data screening, cleaning, and transformation. These are followed by a statistical quality phase, which includes extraction of the relevant data subset, type conversions, ensuring sample representativeness when appropriate, and assessing statistical assumptions. The resulting model thereby provides methodological guidance for the preprocessing of behavioral science big data, aimed at ensuring acceptable data quality before analysis is undertaken. Sample R code snippets demonstrating the application of this model are provided throughout the paper.

Regional personality assessment through social media language

OBJECTIVE

We explore the personality of counties as assessed through linguistic patterns on social media. Such studies were previously limited by the cost and feasibility of large-scale surveys; however, language-based computational models applied to large social media datasets now allow for large-scale personality assessment.

METHOD

We applied a language-based assessment of the five factor model of personality to 6,064,267 U.S. Twitter users. We aggregated the Twitter-based personality scores to 2,041 counties and compared to political, economic, social, and health outcomes measured through surveys and by government agencies.

RESULTS

There was significant personality variation across counties. Openness to experience was higher on the coasts, conscientiousness was uniformly spread, extraversion was higher in southern states, agreeableness was higher in western states, and emotional stability was highest in the south. Across 13 outcomes, language-based personality estimates replicated patterns that have been observed in individual-level and geographic studies. This includes higher Republican vote share in less agreeable counties and increased life satisfaction in more conscientious counties.

CONCLUSIONS

Results suggest that regions vary in their personality and that these differences can be studied through computational linguistic analysis of social media. Furthermore, these methods may be used to explore other psychological constructs across geographies.

Collective Reactions to Epidemic Threat: Attachment and Cultural Orientations Predict Early COVID-19 Infection and Mortality Rates and Trajectories

Hypotheses on culture-level attachment and individualism/collectivism relationships with COVID-19 infection and death rates during a period at the beginning of the epidemic were tested in data from 53 countries and 50 U.S. states. Results from multilevel growth curve analyses showed group-average anxious attachment predicted a lower initial number of cases and deaths cross-culturally and in the United States, while avoidant attachment predicted a higher initial number of COVID-19 infections in the United States and a higher initial number of deaths in both studies. Yet, during this period, culture-level anxious attachment was associated with a higher growth rate of infections and deaths, while a lower growth rate of infections and deaths was observed in countries and U.S. states with higher individualism and avoidance. The research provides new insights into attachment and culture relationships and points to different mechanisms that may explain initial and growth rate trajectories at the beginning of the epidemic.

Little Between-Region and Between-Country Variance When People Form Impressions of Others

To what extent are perceivers' first impressions of other individuals dictated by cultural background rather than personal idiosyncrasies? To address this question, we analyzed a globally diverse data set containing 11,481 adult participants' ratings of 120 targets across 45 countries (2,597,624 total ratings). Across ratings of 13 traits, we found that perceivers' idiosyncratic differences accounted for approximately 29% of variance and impressions on their own and approximately 16% in conjunction with target characteristics. However, country- and region-level differences, here a proxy for culture, accounted for 3.2% on average (i.e., both alone and in conjunction with target characteristics). We replicated this pattern of effects in a preregistered analysis on an entirely novel data set containing 7,007 participants' ratings of 100 targets across 41 countries (24,886 total ratings). Together, these results suggest that perceivers' impressions of other people are largely dictated by their individual characteristics and local environment rather than their cultural background.

Are Regional Differences in Psychological Characteristics and Their Correlates Robust? Applying Spatial-Analysis Techniques to Examine Regional Variation in Personality

There is growing evidence that psychological characteristics are spatially clustered across geographic regions and that regionally aggregated psychological characteristics are related to important outcomes. However, much of the evidence comes from research that relied on methods that are theoretically ill-suited for working with spatial data. The validity and generalizability of this work are thus unclear. Here we address two main challenges of working with spatial data (i.e., modifiable areal unit problem and spatial dependencies) and evaluate data-analysis techniques designed to tackle those challenges. To illustrate these issues, we investigate the robustness of regional Big Five personality differences and their correlates within the United States (Study 1; N = 3,387,303) and Germany (Study 2; N = 110,029). First, we display regional personality differences using a spatial smoothing approach. Second, we account for the modifiable areal unit problem by examining the correlates of regional personality scores across multiple spatial levels. Third, we account for spatial dependencies using spatial regression models. Our results suggest that regional psychological differences are robust and can reliably be studied across countries and spatial levels. The results also show that ignoring the methodological challenges of spatial data can have serious consequences for research concerned with regional psychological differences.

Personality and Its Partisan Political Correlates Predict U.S. State Differences in Covid-19 Policies and Mask Wearing Percentages

A central feature of the Covid-19 pandemic is state differences. Some state Governors closed all but essential businesses, others did not. In some states, most of the population wore face coverings when in public; in other states, <50% wore face coverings. According to journalists, these differences were symptomatic of a politically polarized America. The Big 5 personality factors also cluster at the state level. For example, residents of Utah score high on Conscientiousness and low on Neuroticism, whereas residents of Massachusetts and Connecticut show the opposite pattern. In state-level regressions that controlled for partisan political allegiances, Conscientiousness was a significant (negative) predictor of the stringency of state Covid-19 restrictions, whereas Openness was a significant (positive) predictor of mask wearing. A number of the predictors were strongly correlated with each other. For example, the correlation coefficient linking Openness with the percentage of Democratic state legislators was r = 0.53. Commonality regression partitions the explained variance between the amount that is unique to each predictor and the amount that is shared among subsets of correlated predictors. This approach revealed that the common variance shared by Conscientiousness, Openness and partisan politics accounted for 34% of the state differences in Covid-19 policy and 35% of the state differences in mask wearing. The results reflect the importance of personality in how Americans have responded to the Covid-19 pandemic.

Entrepreneur-Region Fit and Entrepreneurial Success in China: The Effect of "Confucian" Personality

The personality of entrepreneurs is associated with their entrepreneurial success, and the regional personality plays a crucial role in the entrepreneurial ecosystem. Recently, scholars have called for an indigenous personality perspective and combining the personality of entrepreneurs with the regional personality. The current study aimed to investigate the indigenous Confucian personality (e.g., interpersonal relatedness [IR]) and taking an entrepreneur-regional personality fit perspective, allowing testing how entrepreneurs interact with the local ecosystem. Using the personality data of entrepreneurs (N = 1,386) from a representative sample across 42 major cities in China, we found that (1) city-level IR is curvilinearly correlated with the annual income of entrepreneurs, with moderate IR associates with the highest income; and (2) the entrepreneur-regional fit analysis further revealed substantial interplay between an entrepreneur and the city. Specifically, entrepreneurs who have moderate IR and run their business in the city also with moderate IR are most likely to have the highest income. This study highlights the usefulness of investigating indigenous personality and the fit perspective in entrepreneurship research.

A Behavioral Cultural-Based Development Analysis of Entrepreneurship in China

This paper deals with local cultural capital as a motivator for entrepreneurial behavior in China. Following the Culture-Based Development paradigm (CBD), the current study approaches local cultural capital as an entity that can be temporarily segmented into living culture and cultural heritage and can be further differentiated type-wise into material cultural capital and immaterial cultural capital. The main hypothesis of this paper is that living culture and cultural heritage have different roles in the direction of effect on entrepreneurial behavior in China. To test this hypothesis, a quantitative research method is utilized and data is collected from China Statistical Yearbooks, the website of Chinese Intangible Cultural Heritage as well as the third and fourth China Economic Census Yearbooks, covering the period from 2010 to 2019 and regarding all 31 provinces of mainland China. This dataset provides indicators for both material and immaterial living culture, respectively represented by the total book circulations in public libraries and performances at art venues, while historical cultural heritage is approximated by intangible cultural heritage (such as the number of folk literature, traditional music, traditional dance and so on) and historical sites. For data analysis, an OLS regression is used to assess the roles of each kind of cultural capital on regional entrepreneurship development. Findings suggest CBD is applicable for analyzing entrepreneurship behavior and the result of the application of model shows a notable impact of culture on entrepreneurship activities in China.

The Role of Personality Traits, Cooperative Behaviour and Trust in Governments on the Brexit Referendum Outcome

We analyse the role of personality traits along with individuals’ cooperative behaviour, level of trust in the UK government and the European Council (EC, the body that defines the European Union’s overall political direction and priorities) and socio-demographics on UK citizens’ voting choices on the 2016 Brexit referendum. We use data from a survey conducted in April 2019 on 530 UK citizens who voted in the 2016 Brexit referendum. We use a Probit model to investigate what role voters’ personality traits, their trust in government institutions, their level of cooperative behaviour and socio-demographics played in the way they voted. We find voters’ choice was associated voters’ personality traits. In particular, voters associated with being extraverted, acting with self-confidence and outspokenness (i.e., agency), and voters’ closeness to experience, to forming part of a diverse community and the exchange of ideas and experiences were found to be associated with voting for Brexit in the 2016 referendum. We found that voters’ willingness to cooperate with others was associated with being less likely to vote for Brexit. In addition, voters who trusted the UK government were more likely to vote for Brexit, whereas voters trusting the EC were more likely to vote for the UK to stay in the EU. We also found that voters with relatively high level of education were less likely to vote for Brexit and voters not seeking jobs were more likely to vote for Brexit than students, unemployed and retired. We conclude that incorporating personality profiles of voters, their pro-social behaviour as well as their views on trust in politicians/government institutions, along with socio-demographic variables, into individuals’ vote choice analysis can account for voter heterogeneity and provide a more complete picture of an individual’s vote choice decisions, helping to gain a better understanding of individual vote choices (e.g., better predictions of future individual vote intentions).

A Tale of Peaks and Valleys: Sinusoid Relationship Patterns Between Mountainousness and Basic Human Values

Mountains—mythic and majestic—have fueled widespread speculation about their effects on character. Emerging empirical evidence has begun to show that physical topography is indeed associated with personality traits, especially heightened openness. Here, we extend this work to the domain of personal values, linking novel large-scale individual values data ( n = 32,666) to objective indicators of altitude and mountainousness derived from satellite radar data. Partial correlations and conditional random forest machine-learning algorithms demonstrate that altitude and mountainousness are related to increased conservation values and decreased hedonism. Effect sizes are generally small (| r| < .031) but comparable to other socio-ecological predictors, such as population density and latitude. The findings align with the dual-pressure model of ecological stress, suggesting that it might be most adaptive in the mountains to have an open personality to effectively deal with threats and endorse conservative values that promote a social order that minimizes threats.

Revisiting Values and Self-Esteem: A Large-Scale Study in the United States

Person-culture fit perspectives posit that individuals have higher self-esteem when their values match the values of the sociocultural environment in which they live. The current study tested this hypothesis by examining the associations between value congruence and self-esteem in a large-scale sample in the United States ( N = 48,563). Multilevel response surface analyses revealed no evidence of value congruence effects on self-esteem, such that the agreement between individual- and state-level values did not positively predict self-esteem for any of the 10 basic values. Instead, we found positive (stimulation, security) and negative (conformity) linear associations between individual-level values and self-esteem. We also found positive curvilinear relationships between individual-level achievement and tradition values and self-esteem, and negative curvilinear relationships between individual-level self-direction, hedonism, power, benevolence, and universalism values and self-esteem. In addition, state-level values moderated the relationship between values and self-esteem for tradition, universalism, and conformity values. In federal states with stronger endorsement of tradition values, individuals’ tradition values were more positively associated with self-esteem. In contrast, in states with stronger endorsement of universalism values, individuals’ universalism values were more negatively associated with self-esteem. Lastly, individuals’ conformity values were negatively associated with self-esteem, particularly in states with weaker endorsement of conformity values.

The Role of Geographical Area and Entrepreneurs' Personality

This study proposed a line of research on entrepreneurship based on the analysis of personality traits and geographical area. Its objective is to identify whether certain personality traits or sociocultural variables typical of a particular geographical area influence those who have already started an entrepreneurial activity to keep it up, in other words, to maintain their entrepreneurial intention. The research results reach a sample of 479 entrepreneurs from two Iberian Peninsula geographical areas. The analyse of the psychometric properties on the Entrepreneurial Orientation Questionnaire (EOQ) identified five dimensions of the enterprising personality. They also evidence that geographical location is a factor that contributes to the development of the entrepreneurial intentions that determine the business profile. The results show that entrepreneurs in the northern area tend to maintain their business than those in the central zone.

Group-level human values estimated with web search data and archival data explain the geographic variation in COVID-19 severity in the United States

OBJECTIVES

Personal Focus values (PF = Openness to change values + Self-enhancement values) motivate self-centred behaviours, and Social Focus values (SF = Conservation values + Self-transcendence values) promote self-sacrificial counterparts. This research investigated how a state-level PF-SF value-continuum would explain the geographic variation in COVID-19 severity in the United States.

DESIGN

This research estimated state-level values by Google search data (from 2004 to 2019) on value-related words (e.g. family for conservation values) (Study 1a) and archival indicators (e.g. gun ownership rate for security values) (Study 1b). COVID-19 severity was measured by shorter time delay of first documented cases, shorter overall doubling times, higher reproductive ratio and higher case fatality ratio. Hierarchical and multilevel analyses examined how state-level values would predict COVID-19 severity across U.S. states (Studies 1a and 1b) and 3,135 counties (Study 2).

RESULTS

State-level analyses accounting for spatial autocorrelation and covariates (e.g. COVID-19 testing rate, airport traffic, personality, etc.) revealed that the PF-SF value-continuums measured with different methods positively and significantly predicted COVID-19 severity, and the effects of state-level values on county-level COVID-19 severity were significant when county- and state-level covariates were controlled.

CONCLUSION

Social focus values may mitigate the devastating effect of COVID-19 in the United States.

Predicting Regional Variations in Nationalism With Online Expression of Disgust in China

Disgust is one of the basic emotions and is part of the behavioral immune system, which evolutionarily protects humans from toxic substances as well as from contamination threats by outgroup members. Previous works reveal that disgust not only activates humans’ defense against potential individual and collective threats, but also leads to severe moral judgments, negative intergroup attitudes, and even conservative political orientations. As is already known, nationalism is an ideology that features both negative feelings toward outgroups and beliefs about native superiority or privileges. Evidence from previous studies suggests that disgust is related to nationalism’s several components but lacks direct research on nationalism and disgust. The current study examines the relationship between disgust and nationalism in China at both individual and regional levels. In study 1, participants temporally induced disgust (vs. control) increasing the adoption of nationalism. In Study 2, we analyzed covariation in disgust expression in the Chinese micro-blog Weibo and the nationalism index as part of an online large-scale political survey http://zuobiao.me/ at the province level across Mainland China. The results show that online expression of disgust positively predicts nationalistic orientation at the regional level. Finally, we discuss how the findings shed light on research concerning online emotion expression and potential future directions.

Religion and Prejudice Across Cultures: A Test of the Threat-Constraint Model

The present set of studies investigated the role of being religious in the prediction of various forms of prejudice. Following the threat-constraint model, we predicted that contexts characterized by high threat attenuate—or constrain—the relationship between individual differences in being religious on the one hand and antigay prejudice and sexism on the other. A worldwide investigation of these regional constraints was conducted in the Americas Barometer (125,984 individuals nested in 20 countries; Study 1), the World Values Survey (69,798 individuals nested in 45 countries; Study 2), and the European Social Survey (44,386 individuals nested in 274 Nomenclature des Unités Territoriales Statistiques regions; Study 3). Results identify a key moderating role of Hofstede’s cultural dimensions, revealing strong associations between religion and prejudice in regions low in power distance, uncertainty avoidance, masculinity, and collectivism, whereas the religion–prejudice association is constrained (i.e., weaker and often absent) in regions high on those cultural dimensions.

Geographic distribution of prejudice toward African Americans: Applying the two-dimensional model

Using the two-dimensional model of prejudice as a theoretical framework, we examined the geographic distribution of prejudice toward African Americans in the United States (N = 10,522). We found the East South Central, West South Central, and South Atlantic regions were associated with modern racism, principled conservatism characterized the Mountain region, aversive racism was prevalent in the East North Central region, and finally, low in prejudice was found in the Pacific, West North Central, Mid Atlantic, and New England regions. Additional analyses on political conservatism, social conservatism, and egalitarianism generally supported the distinctions between prejudice types made by the two-dimensional model. We believe mapping regional prejudice may have implications for testing theoretical differences between distinct types of prejudice as well as for implementing prejudice reduction strategies.

Geographic Variation in Personality is Associated With Fertility Across the United States

Levels of fertility and the shape of the age-specific fertility schedule vary substantially across U.S. regions with some states having peak fertility relatively early and others relatively late. Structural institutions or economic factors partly explain these heterogeneous patterns, but regional differences in personality might also contribute to regional differences in fertility. Here, we evaluated whether variation in extraversion, agreeableness, conscientiousness, neuroticism, and openness to experience measured at the U.S. state-level was associated with the level, timing, and context of fertility across states above and beyond sociodemographics, voting behavior, and religiosity. Generally, states with higher levels of agreeableness and conscientiousness had more traditional fertility patterns, and states with higher levels of neuroticism and openness had more nontraditional fertility patterns, even after controlling for established correlates of fertility (r ~ |.50|). Personality is an overlooked correlate that can be leveraged to understand the existence and persistence of fertility differentials.

Personality profiles of cultures: Patterns of ethos

Culture and the human mind are deeply interdependent, because they co‐evolved. Personality traits were a preexisting feature of the primate mind and must have left an imprint on forms of culture. Trait taxonomies can structure ethnographies, by specifying institutions that reflect the operation of traits. Facets of ethos can be assessed by expert ratings or objective indicators. Ratings of ethos in Japan and the US were reliable and yielded plausible descriptions of culture. However, measures of ethos based on the analysis of stories were not meaningfully correlated with aggregate personality traits or national character stereotypes. Profiles of ethos may provide another axis that can be used with aggregate personality trait levels to predict behaviour and understand the operation of culture. Published in 2009 by John Wiley & Sons, Ltd.

Sex, Education and Procrastination: An Epidemiological Study of Procrastinators’ Characteristics from A Global Sample

Procrastination is a common form of self–regulatory failure with substantive connections to lower levels of health, wealth and well–being. Conducting an epidemiological study, we determined the characteristics of prototypical procrastinators from a global sample based on several relevant self–reported demographic variables. Using an internet sampling strategy, we surveyed 16 413 English–speaking adults (58.3% women; 41.7% men: M age = 38.3 years, SD = 14), specifically on the variables of sex, age, marital status, family size, education, community location, and national origin. Almost all the results were statistically significant because of our large sample size. However, procrastination tendencies were most prominently associated with sex, age, marital status, education and nationality. Procrastinators tended to be young, single men with less education, residing in countries with lower levels of self–discipline. Notably, procrastination mediated the relationship between sex and education, providing further support that men are lagging behind women academically because of lower self–regulatory skills. Given procrastination's connection with a variety of societal ailments (e.g. excessive debt, delayed medical treatment), identifying risk factors and at risk populations should be helpful for directing preventative public policy. Copyright © 2012 John Wiley & Sons, Ltd.