Meta-analytic relations between personality and cognitive ability.

Cognitive ability and personality are fundamental domains of human psychology. Despite a century of vast research, most ability-personality relations remain unestablished. Using contemporary hierarchical personality and cognitive abilities frameworks, we meta-analyze unexamined links between personality traits and cognitive abilities and offer large-scale evidence of their relations. This research quantitatively summarizes 60,690 relations between 79 personality and 97 cognitive ability constructs in 3,543 meta-analyses based on data from millions of individuals. Sets of novel relations are illuminated by distinguishing hierarchical personality and ability constructs (e.g., factors, aspects, facets). The links between personality traits and cognitive abilities are not limited to openness and its components. Some aspects and facets of neuroticism, extraversion, and conscientiousness are also considerably related to primary as well as specific abilities. Overall, the results provide an encyclopedic quantification of what is currently known about personality-ability relations, identify previously unrecognized trait pairings, and reveal knowledge gaps. The meta-analytic findings are visualized in an interactive webtool. The database of coded studies and relations is offered to the scientific community to further advance research, understanding, and applications.

Comparing the reliability and predictive power of child, teacher, and guardian reports of noncognitive skills.

Children's noncognitive or socioemotional skills (e.g., persistence and self-control) are typically measured using surveys in which either children rate their own skills or adults rate the skills of children. For many purposes-including program evaluation and monitoring school systems-ratings are often collected from multiple perspectives about a single child (e.g., from both the child and an adult). Collecting data from multiple perspectives is costly, and there is limited evidence on the benefits of this approach. Using a longitudinal survey, this study compares children's noncognitive skills as reported by themselves, their guardians, and their teachers. Although reports from all three types of respondents are correlated with each other, teacher reports have the highest internal consistency and are the most predictive of children's later cognitive outcomes and behavior in school. The teacher reports add predictive power beyond baseline measures of Intelligence Quotient (IQ) for most outcomes in schools. Measures collected from children and guardians add minimal predictive power beyond the teacher reports.

Disentangling periodic and aperiodic resting EEG correlates of personality.

Previous studies of resting electroencephalography (EEG) correlates of personality traits have conflated periodic and aperiodic sources of EEG signals. Because these are associated with different underlying neural dynamics, disentangling them can avoid measurement confounds and clarify findings. In a large sample (n = 300), we investigated how disentangling these activities impacts findings related to two research programs within personality neuroscience. In Study 1 we examined associations between Extraversion and two putative markers of reward sensitivity-Left Frontal Alpha asymmetry (LFA) and Frontal-Posterior Theta (FPT). In Study 2 we used machine learning to predict personality trait scores from resting EEG. In both studies, power within each EEG frequency bin was quantified as both total power and separate contributions of periodic and aperiodic activity. In Study 1, total power LFA and FPT correlated negatively with Extraversion (r ∼ -0.14), but there was no relation when LFA and FPT were derived only from periodic activity. In Study 2, all Big Five traits could be decoded from periodic power (r ∼ 0.20), and Agreeableness could also be decoded from total power and from aperiodic indices. Taken together, these results show how separation of periodic and aperiodic activity in resting EEG may clarify findings in personality neuroscience. Disentangling these signals allows for more reliable findings relating to periodic EEG markers of personality, and highlights novel aperiodic markers to be explored in future research.

Agreeableness modulates mental state decoding: Electrophysiological evidence.

Agreeableness is one of the five personality traits which is associated with theory of mind (ToM) abilities. One of the critical processes involved in ToM is the decoding of emotional cues. In the present study, we investigated whether this process is modulated by agreeableness using electroencephalography (EEG) while taking into account task complexity and sex differences that are expected to moderate the relationship between emotional decoding and agreeableness. This approach allowed us to identify at which stage of the neural processing agreeableness kicks in, in order to distinguish the impact on early, perceptual processes from slower, inferential processing. Two tasks were employed and submitted to 62 participants during EEG recording: the reading the mind in the eyes (RME) task, requiring the decoding of complex mental states from eye expressions, and the biological (e)motion task, involving the perception of basic emotional actions through point-light body stimuli. Event-related potential (ERP) results showed a significant correlation between agreeableness and the contrast for emotional and non-emotional trials in a late time window only during the RME task. Specifically, higher levels of agreeableness were associated with a deeper neural processing of emotional versus non-emotional trials within the whole and male samples. In contrast, the modulation in females was negligible. The source analysis highlighted that this ERP-agreeableness association engages the ventromedial prefrontal cortex. Our findings expand previous research on personality and social processing and confirm that sex modulates this relationship.

Effect of Attending Rheumatologists' Big 5 Personality Traits on Patient Trust in Patients With Systemic Lupus Erythematosus: The TRUMP2-SLE Project.

OBJECTIVE: Differences in communication styles based on physicians' personality traits have been identified, particularly in primary care, and these physician-related factors can be important in building patient-physician trust. This study examined the effects of rheumatologists' personality traits on patients' trust in their attending rheumatologists. METHODS: This cross-sectional study included adult Japanese patients with systemic lupus erythematosus (SLE) at 5 academic medical centers between June 2020 and August 2021. The exposures were the Big 5 personality traits (ie, extraversion, agreeableness, openness, conscientiousness, and emotional stability) of attending rheumatologists using the Japanese version of the 10-Item Personality Inventory scale (1-7 points each). The outcome was the patients' trust in their attending rheumatologist using the Japanese version of the 5-item Wake Forest Physician Trust Scale (0-100 points). A general linear model was fitted. RESULTS: The study included 505 patients with a mean age of 46.8 years; 88.1% were women. Forty-three attending rheumatologists (mean age: 39.6 years; 23.3% female) were identified. After multivariable adjustment, higher extraversion and agreeableness were associated with higher trust (per 1-point increase, 3.76 points [95% CI 1.07-6.45] and 4.49 points [95% CI 1.74-7.24], respectively), and higher conscientiousness was associated with lower trust (per 1-point increase, -2.17 points [95% CI -3.31 to -1.03]). CONCLUSION: Whereas higher extraversion and agreeableness of attending rheumatologists led to higher patient trust in their rheumatologist, overly high conscientiousness may lead to lower trust resulting from the physicians' demand of responsibility and adherence to instructions from patients with SLE.

Linking genetic foundations of sleep disturbances to personality traits: a study of mid-life twins.

Risk of sleep disturbances depends on individuals' personality, and a large body of evidence indicates that individuals prone to neuroticism, impulsivity, and (low) extraversion are more likely to experience them. Origins of these associations are unclear, but common genetic background may play an important role. Participants included 405 twin pairs (mean age of 54 years; 59% female) from the National Survey of Midlife Development in the United States (MIDUS) who reported on their personality traits (broad and specific), as well as sleep disturbances (problems with falling asleep, staying asleep, waking early, and feeling unrested). Uni- and bivariate biometric decompositions evaluated contributions of genetic and environmental factors to associations between personality and poor sleep, as well as unique contributions from individual traits. Neuroticism, extraversion, conscientiousness, and aggressiveness were the strongest phenotypic predictors of poor sleep. Genetic sources of covariance were about twice as large as non-shared environmental sources, and only shared genetic background accounted for links between aggressiveness and poor sleep. Neuroticism and extraversion accounted for most of the genetic overlap between personality and sleep disturbances. The findings shed light on developmental antecedents of ties between personality and poor sleep, suggesting a larger role of common genetic background than idiosyncratic life experiences. The results also suggest that emotion-related traits play the most important role for poor sleep, compared to other personality traits, and may partially account for genetic associations with other traits.

Relationship Between Life Satisfaction and Psychological Characteristics Among Community-Dwelling Oldest-old: Focusing on Erikson's Developmental Stages and the Big Five Personality Traits.

OBJECTIVE: To clarify the relationship between life satisfaction and the psychological characteristics of the oldest-old, and explore the factors for achieving mental health and longevity. DESIGN: This cross-sectional study conducted questionnaire surveys and face-to-face interviews as part of a larger prospective cohort study. SETTING: Arakawa Ward, a district in Tokyo, Japan. PARTICIPANTS: A total of 247 oldest-old individuals from two age groups, 85+ (aged 85-87 years) and 95+ (aged 95 years or older). MEASUREMENTS: Life satisfaction was assessed using the Satisfaction with Life Scale (SWLS), developmental stages of the elderly (Erikson's 8th and 9th stages, i.e., ego integrity, and gerotranscendence), and the Big Five personality traits (extraversion, agreeableness, openness, conscientiousness, and neuroticism) using the NEO-Five Factor Inventory. Multiple regression analyses were performed to examine the relationship between the SWLS scores and each assessment, controlling for age, sex, education, activities of daily living, depressive symptoms, and cognitive function. RESULTS: The SWLS scores of 85+ were positively correlated with scores of ego integrity, extraversion, and conscientiousness. Contrastingly, the SWLS scores of 95+ were positively correlated with gerotranscendence scores. CONCLUSIONS: Psychological characteristics associated with the level of life satisfaction among community-dwelling oldest-old individuals were identified, but a causal relationship between these factors and life satisfaction was not established. Ego integrity, extraversion, conscientiousness, and gerotranscendence may be associated with enhanced life satisfaction and mental health in the oldest-old. Further, the factors associated with life satisfaction in the 85+ and 95+ age groups varied, suggesting that life satisfaction among the oldest-old has different foundations in different age groups.

Association Between Optimism and Incident Stroke Among Stroke Survivors: Findings From the English Longitudinal Study of Ageing.

BACKGROUND: Personality has been implicated in stroke death. However, the role of personality in stroke incidence is unclear. PURPOSE: Our primary aim was to investigate associations between optimism, determination, control, and the "Big Five" personality traits on incident stroke. A secondary aim was to assess the potential mediating role of health behaviors in the personality-stroke relationship. METHODS: A total of 3,703 stroke-free participants from the English Longitudinal Study of Ageing provided data on personality using the Midlife Development Inventory at Wave 5 (2010/11). Self-reported incident stroke was assessed from Waves 6 to 8 (2012-2017). Associations were modeled using discrete-time survival proportional odds logistic models. Analyses were adjusted for sociodemographic factors, history of other cardiometabolic diseases, and health behaviors. RESULTS: Over 6 years follow-up there were 125 incident strokes. Higher optimism (hazard ratio [HR] = 0.66; 95% confidence interval [CI] 0.53, 0.82), openness (HR = 0.72; 95% CI 0.53, 0.98), and conscientiousness (HR = 0.59; 95% CI 0.42, 0.84) were associated with reduced incident stroke risk in unadjusted models. After adjustment for sociodemographic factors and history of cardiometabolic disease, only the association between optimism and incident stroke remained significant (HR = 0.72; 95% CI 0.57, 0.92). The effect of optimism remained significant in a final model adjusting for health behaviors (HR = 0.75; 95% CI 0.60, 0.96). There was evidence of a small but significant mediating effect of physical activity. CONCLUSIONS: Higher trait optimism was associated with reduced stroke risk. This association was partially mediated by physical activity albeit the effect was small, and caution warranted inferring causality. The interplay of personality, behavior, and clinical risk factors in stroke incidence and survivorship needs further investigation.

Personality can influence health. Research has linked traits such as optimism with reduced risk of heart attack. This study set out to investigate whether optimism and other personality traits could also influence the risk of stroke. A total of 3,703 people aged 50 and over living in England filled in questionnaires on personality. They were then followed for 6 years to see who developed stroke. The study found that more optimistic people had a reduced risk of stroke. People who had more conscientious and more open personality types also had a lower risk of stroke. However, the strongest effects were found for optimism, where optimistic people had a lower stroke risk regardless of their clinical risk or health behaviors. It is unknown why optimism may help reduce stroke risk. One possibility coming from the study data suggests that optimistic people are more likely to be physically active which then helps reduce stroke risk. More research is needed to understand how personality might influence health behaviors to reduce the risk of people having a stroke.

Dissecting the surgeon's personality: cross-cultural comparisons in Western Europe.

AIM: The surgeon's personality contributes to variation in surgical decision-making. Previous work on surgeon personality has largely been reserved to Anglo-Saxon studies, with limited international comparisons. In this work we built upon recent work on gastrointestinal surgeon personality and aimed to detect international variations. METHOD: Gastrointestinal surgeons from the UK and the Netherlands were invited to participate in validated personality assessments (44-item, 60-item Big Five Inventory; BFI). These encompass personality using five domains (open-mindedness, conscientiousness, extraversion, agreeableness and negative emotionality) with three subtraits each. Mean differences in domain factors were calculated between surgeon and nonsurgeon populations from normative data using independent-samples t-tests, adjusted for multiple testing. The items from the 44-item and 60-item BFI were compared between UK and Dutch surgeons and classified accordingly: identical (n = 16), analogous (n = 3), comparable (n = 12). RESULTS: UK (n = 78, 61.5% male) and Dutch (n = 280, 65% male) gastrointestinal surgeons had marked differences in the domains of open-mindedness, extraversion and agreeableness compared with national normative datasets. Moreover, although surgeons had similar levels of emotional stability, country of work influenced differences in specific BFI items. For example, Netherlands-based surgeons scored highly on questions related to sociability and organization versus UK-based surgeons who scored highly on creative imagination (p < 0.0001). CONCLUSION: In a first cross-cultural setting, we identified country-specific personality differences in gastrointestinal surgeon cohorts across domain and facet levels. Given the variation between Dutch and UK surgeons, understanding country-specific data could be useful in guiding personality research in healthcare. Furthermore, we advocate that future work adopts consensus usage of the five factor model.

Cognitive flexibility moderates the relationship between openness-to-experience and perceptual reversals of Necker cube.

It is not clear whether personality is related to basic perceptual processes at the level of automatic bottom-up processes or controlled top-down processes. Two experiments examined how personality influences perceptual dynamics, focusing on how cognitive flexibility moderates the relationship between personality and perceptual reversals of the Necker cube. The participants viewed stimuli either passively or with the intent to either hold or switch the orientation of the Necker cube. The influence of openness was predominantly evident in conditions necessitating intentional control over perceptual reversals. The link between openness and intentional perceptual reversals was always moderated by cognitive flexibility, which was measured in three different ways. No relationship was detected between personality traits and reversals in the passive viewing condition, suggesting that relatively spontaneous adaptation-inhibition processes may not be personality-dependent. Overall, our research sheds light on the nuanced influence of personality traits on perceptual experiences, mediated by cognitive flexibility.

A Latent Profile Analysis of Greek University Students' Sexting Profiles: Associations with Big Five Personality Traits.

The aim of this study was to examine the associations between sexting profiles and five factor model (FFM) personality traits among Greek university students. A sample of 2913 participants predominantly aged between 18 and 25 years (M = 22; SD = 3.54; 69.6% females) completed a self-report online questionnaire that measured sexting behaviors and FFM traits. Latent profile analysis identified five distinct profiles which were labeled uninvolved, consensual sexters, non-consensual sexters, unwanted sexters, and highly involved sexters. The different sexting profiles were associated with distinct patterns of FFM trait scores. Specifically, the uninvolved scored higher on agreeableness, conscientiousness, and openness than those highly involved in sexting, consensual, non-consensual, and unwanted sexters. Furthermore, those who sent unwanted sexts were more likely to be emotionally unstable than the consensual sexters and those not involved. These findings indicate that sexting behaviors may be related to certain personality traits and emphasize the importance of considering individual differences when studying sexting behaviors. The practical implications of the findings are discussed.

The association between smoking and family health with the mediation role of personality among Chinese people: nationwide cross-sectional study.

BACKGROUND: There may be unexplored interactions between family health, personality, and smoking that could help provide new perspectives on tobacco control. OBJECTIVE: To examine the relationship between the health of one's family and their smoking habits, as well as investigate the potential influence of personality on this relationship. METHODS: For this cross-sectional investigation, a national survey conducted in China in 2022 recruited a total of 21,916 individuals. The Family Health Scale was utilized to assess the health of the family. The 10-item Big Five Inventory scale was utilized to assess the Big five personality traits. The relationship between big five personality, family health, and smoking were investigated using binary and linear logistic regression. The indirect effects mediated by Big five personality were analyzed using mediation analysis with Sobel tests, and the indirect effects were composited using the Karlson-Holm-Breen method. RESULTS: The overall prevalence of smoking in the study population was 14.87%, 26.19% for males and 3.54% for females. Urban and rural smoking prevalence was 13.81% and 16.10% respectively. Binary logistic regression analysis revealed a significant negative relationship between smoking and family health (odds ratio 0.964, 95% CI 0.959, 0.970, P < 0.001) with covariates controlled. The Karlson-Holm-Breen composition facilitated the connection between extraversion (47.81%) and nervousness (52.19%). CONCLUSIONS: Preventive interventions for smoking behavior should prioritize family health and the Big five personality as significant areas to focus on. According to this study, in addition to implementing various interventions for different personalities, family health should be strengthened to reduce smoking behavior.

Validation of an abbreviated Big Five personality inventory at large population scale: Psychometric structure and associations with common psychiatric and neurological disorders.

BACKGROUND: The five-factor model of personality, as quantified using instruments such as the Big Five Inventory, consists of broad personality domains including Extraversion, Agreeableness, Conscientiousness, Neuroticism (emotional instability), and Openness. Such instruments typically include >40 items. However, instruments with many items can be unwieldly and a cause of measurement error in clinical and cohort studies where multiple scales are sequenced. Conversely, established 5- and 10-item versions of the Big Five Inventory have poor reliability. Here, we developed and validated an abbreviated 18-item Big Five Inventory that balances efficiency, reliability and sensitivity. METHOD: We analysed three datasets (N = 59,797, N = 21,177, and N = 87,983) from individuals who participated in the online Great British Intelligence Test (GBIT) study, a collaborative citizen science project with BBC2 Horizon. We applied factor analyses (FA), predictive normative modelling, and one-sample t-tests to validate the 18-item version of the Big Five and to investigate its associations with psychiatric and neurological conditions. RESULTS: The 18-item version of the Big Five Inventory had higher validity and retest reliability compared to the other previously shortened versions in the literature, with comparable demographic associations to the full Big Five Inventory. It exhibited strong (i.e. large effect size) associations with psychiatric conditions, and moderate (small-medium) associations with neurological conditions. Neuroticism (emotional instability) was substantially higher in all psychiatric conditions, whereas Conscientiousness, Openness and Extraversion showed differential associations across conditions. CONCLUSION: The newly validated 18-item version of the Big Five provides a convenient means of measuring personality traits that is suitable for deployment in a range of studies. It retains psychometric structure, retest reliability and clinical-group sensitivity, as compared to the full original scale.

Academic cheating in early childhood: Role of age, gender, personality, and self-efficacy.

The current study investigated the association of children's age, gender, ethnicity, Big Five personality traits, and self-efficacy with their academic cheating behaviors. Academic cheating is a rampant problem that has been documented in adolescents and adults for nearly a century, but our understanding of the early development and factors influencing academic cheating is still weak. Using Zoom, the current study recruited children aged 4 to 12 years (N = 388), measured their cheating behaviors through six tasks simulating academic testing scenarios, and assessed their Big Five personality traits and self-efficacy through a modified Berkeley Puppet Interview paradigm, as well as age and gender. We found that children cheated significantly less with increased age and that boys cheated significantly more than girls. However, neither Big Five personality traits nor self-efficacy were significantly correlated with children's cheating. These findings suggest that academic cheating is a developing issue from early to middle childhood and that factors such as gender socialization may play a role in such development. Personal characteristics such as personality traits and self-efficacy may undergo additional development before their associations with cheating become robust, as reported in the adult literature.

Defining distress tolerance in a structural model of Big Five personality domains.

OBJECTIVE: Distress tolerance (DT)-willingness to face internal discomforts-has a fuzzy boundary with neuroticism (low emotional stability), raising questions about its independent role in models of personality and mental health. METHOD: We investigated DT's overlap with neuroticism and other Big Five factors in a structural model of personality and personality disorder features in samples of university students (N = 1025), emotional disorder patients (N = 225), and substance-use patients (N = 210). RESULTS: In exploratory factor analyses, we found that DT indicators clustered with neuroticism and were essentially unrelated to other Big Five domains. Big Five personality dimensions collectively explained approximately 40%-70% of variation in DT, across different samples and methods of quantifying shared variance. CONCLUSIONS: We conclude that DT and neuroticism are near neighbors in empirical space and speculate that much of the observed correlation between DT and mental health outcomes in the literature may be carried by shared neuroticism variance. We suggest that clearer distinctions between the two constructs in empirical research could improve our understanding of DT's unique role in the development and treatment of psychopathology.

Surfing the OCEAN: The machine learning psycholexical approach 2.0 to detect personality traits in texts.

OBJECTIVE: We aimed to develop a machine learning model to infer OCEAN traits from text. BACKGROUND: The psycholexical approach allows retrieving information about personality traits from human language. However, it has rarely been applied because of methodological and practical issues that current computational advancements could overcome. METHOD: Classical taxonomies and a large Yelp corpus were leveraged to learn an embedding for each personality trait. These embeddings were used to train a feedforward neural network for predicting trait values. Their generalization performances have been evaluated through two external validation studies involving experts (N = 11) and laypeople (N = 100) in a discrimination task about the best markers of each trait and polarity. RESULTS: Intrinsic validation of the model yielded excellent results, with R2 values greater than 0.78. The validation studies showed a high proportion of matches between participants' choices and model predictions, confirming its efficacy in identifying new terms related to the OCEAN traits. The best performance was observed for agreeableness and extraversion, especially for their positive polarities. The model was less efficient in identifying the negative polarity of openness and conscientiousness. CONCLUSIONS: This innovative methodology can be considered a "psycholexical approach 2.0," contributing to research in personality and its practical applications in many fields.

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.

The lay of the land: Associations between environmental features and personality.

OBJECTIVE: Personality traits cluster across countries, regions, cities, and neighborhoods. What drives the formation of these clusters? Ecological theory suggests that physical locations shape humans' patterns of behaviors and psychological characteristics. Based on this theory, we examined whether and how differential land-cover relates to individual personality. METHOD: We followed a preregistered three-pronged analysis approach to investigate the associations between personality (N = 2,690,878) and land-cover across the United States. We used eleven land-cover categories to classify landscapes and tested their association with personality against broad physical and socioeconomic factors. RESULTS: Urban areas were positively associated with openness to experience and negatively associated with conscientiousness. Coastal areas were positively associated with openness to experience and neuroticism but negatively associated with agreeableness and conscientiousness. Cultivated areas were negatively associated with openness. Landscapes at the periphery of human activity, such as shrubs, bare lands, or permanent snows, were not reliably associated with personality traits. CONCLUSIONS: Bivariate correlations, multilevel, and random forest models uncovered robust associations between landscapes and personality traits. These findings align with ecological theory suggesting that an individual's environment contributes to their behaviors, thoughts, and feelings.

Life events sometimes alter the trajectory of personality development: Effect sizes for 25 life events estimated using a large, frequently assessed sample.

OBJECTIVE: Personality changes across the life span. Life events, such as marriage, becoming a parent, and retirement, have been proposed as facilitating personality growth via the adoption of novel social roles. However, empirical evidence linking life events with personality development is sparse. Most studies have relied on few assessments separated by long time intervals and have focused on a single life event. In contrast, the content of life is composed of small, recurrent experiences (e.g., getting sick or practicing a hobby), with relatively few major events (e.g., childbirth). Small, frequently experienced life events may play an important and overlooked role in personality development. METHOD: The present study examined the extent to which 25 major and minor life events alter the trajectory of personality development in a large, frequently assessed sample (Nsample = 4904, Nassessments = 47,814, median retest interval = 35 days). RESULTS: Using a flexible analytic strategy to accommodate the repeated occurrence of life events, we found that the trajectory of personality development shifted in response to a single occurrence of some major life events (e.g., divorce), and recurrent, "minor" life experiences (e.g., one's partner doing something special). CONCLUSION: Both stark role changes and frequently reinforced minor experiences can lead to personality change.

The genetic underpinnings of right-wing authoritarianism and social dominance orientation explain political attitudes beyond Big Five personality.

OBJECTIVE: Political attitudes are predicted by the key ideological variables of right-wing authoritarianism (RWA) and social dominance orientation (SDO), as well as some of the Big Five personality traits. Past research indicates that personality and ideological traits are correlated for genetic reasons. A question that has yet to be tested concerns whether the genetic variation underlying the ideological traits of RWA and SDO has distinct contributions to political attitudes, or if genetic variation in political attitudes is subsumed under the genetic variation underlying standard Big Five personality traits. METHOD: We use data from a sample of 1987 Norwegian twins to assess the genetic and environmental relationships between the Big Five personality traits, RWA, SDO, and their separate contributions to political policy attitudes. RESULTS: RWA and SDO exhibit very high genetic correlation (r = 0.78) with each other and some genetic overlap with the personality traits of openness and agreeableness. Importantly, they share a larger genetic substrate with political attitudes (e.g., deporting an ethnic minority) than do Big Five personality traits, a relationship that persists even when controlling for the genetic foundations underlying personality traits. CONCLUSION: Our results suggest that the genetic foundations of ideological traits and political attitudes are largely non-overlapping with the genetic foundations of Big Five personality traits.