Personality characteristics below facets: A replication and meta-analysis of cross-rater agreement, rank-order stability, heritability, and utility of personality nuances

Scaling a common assessment of associative ability: Development and validation of a multiple-choice compound remote associates task

The assessment of creativity as an individual difference has historically focused on divergent thinking, which is increasingly viewed as involving the associative processes that are also understood to be a key component of creative potential. Research on associative processes has proliferated in many sub-fields, often using Compound Remote Associates (CRA) tasks with an open response format and relatively small participant samples. In the present work, we introduce a new format that is more amenable to large-scale data collection in survey designs, and present evidence for the reliability and validity of CRA measures in general using multiple large samples. Study 1 uses a large, representative dataset (N = 1,323,480) to demonstrate strong unidimensionality and internal consistency (α = .97; ωt = .87), as well as links to individual differences in temperament, cognitive ability, occupation, and job characteristics. Study 2 uses an undergraduate sample (N = 685) to validate the use of a multiple-choice format relative to the traditional approach. Study 3 uses a crowdsourced sample (N = 357) to demonstrate high test-retest reliability of the items (r =.74). Finally, Study 4 uses a sample that overlaps with Study 1 (N = 1,502,922) to provide item response theory (IRT) parameters for a large set of high-quality CRA items that use a multiple-choice response mode, thus facilitating their use in future research on creativity, insight, and related topics.

The education-health gradient: Revisiting the role of socio-emotional skills

Is the education-health gradient inflated because both education and health are associated with unobserved socio-emotional skills? We find that the gradient in health behaviors and outcomes is reduced by about 15 to 50% from accounting for fine-grained personality facets and up to another 50% from Locus of Control. Traditional aggregated Big-Five scales, however, have a much smaller contribution to the gradient. We use sibling-fixed effects to net out the contribution from genes and shared childhood environment, decomposing the gradient into its components with an order-invariant method. We rely on a large survey (N = 28,261) linked to high-quality Danish administrative registers with information on parental background and objectively measured diagnoses and care use. Accounting for Locus of Control yields the strongest gradient reduction in self-rated health status and objective diagnoses (30%-50%), and in health behaviors the most important factor is Extraversion, a skill that has been shown to be malleable in interventions.

Development of the Hogan Personality Content Single-Items Inventory

The Hogan Personality Inventory (HPI) and Hogan Developmental Survey (HDS) are among the most widely used and extensively well-validated personality inventories for organizational applications; however, they are rarely used in basic research. We describe the Hogan Personality Content Single-Items (HPCS) inventory, an inventory designed to measure the 74 content subscales of the HPI and HDS via a single-item each. We provide evidence of the reliability and validity of the HPCS, including item-level retest reliability estimates, both self-other agreement and other-other (or observer) agreement, convergent correlations with the corresponding scales from the full HPI/HDS instruments, and analyze how similarly the HPCS and full HPI/HDS instruments relate to other variables. We discuss situations where administering the HPCS may have certain advantages and disadvantages relative to the full HPI and HDS. We also discuss how the current findings contribute to an emerging picture of best practices for the development and use of inventories consisting of single-item scales.

Personality nuances and risk of dementia: Evidence from two longitudinal studies

Personality traits are broad constructs composed of nuances, operationalized by personality items, that can provide a more granular understanding of personality associations with health outcomes. This study examined the associations between personality nuances and incident dementia and evaluated whether nuances associations replicate across two samples. Health and Retirement Study (HRS, N = 11,400) participants were assessed in 2006/2008, and the English Longitudinal Study of Ageing (ELSA, N = 7453) participants were assessed in 2010/2011 on personality and covariates. Dementia incidence was tracked for 14 years in the HRS and 8 years in ELSA. In both HRS and ELSA, higher neuroticism domain and nuances (particularly nervous and worry) were related to a higher risk of incident dementia, whereas higher conscientiousness domain and nuances (particularly responsibility and organization) were associated with a lower risk of dementia. To a lesser extent, higher extraversion (active), openness (broad-minded, curious, and imaginative), and agreeableness (helpful, warm, caring, and sympathetic) nuances were associated with a lower risk of dementia, with replicable effects across the two samples. A poly-nuance score, aggregating the effects of personality items, was associated with an increased risk of incident dementia in the HRS and ELSA, with effect sizes slightly stronger than those of the personality domains. Clinical, behavioral, psychological, and genetic covariates partially accounted for these associations. The present study provides novel and replicable evidence for specific personality characteristics associated with the risk of incident dementia.

Nuanced HEXACO: A Meta-Analysis of HEXACO Cross-Rater Agreement, Heritability, and Rank-Order Stability

Most Five-Factor Model (FFM) questionnaire items contain unique variance that is partly heritable, stable, and consensually observable, demonstrates consistent associations with age and sex, and predicts life outcomes beyond higher order factors. Extending these findings to the HEXACO model, we meta-analyzed single-item cross-rater agreement, heritability, and 2-year stability using samples from six countries. We analyzed raw item scores and their residual variance and adjusted the estimates for measurement unreliability. The median cross-rater agreement, heritability, and stability estimates were, respectively, .30, .30, and .57, for raw items and .10, .16, and .39, for item residuals. Adjusted for reliability, the respective medians were .46 and .25 for cross-rater agreement, .46 and .39 for heritability, and .87 and .94 for stability. These results are strikingly consistent with FFM-based findings, providing nondismissible evidence that single items index a partly unique level of the trait hierarchy-personality nuances-with trait properties comparable to those of higher-order traits.

Domain-Specific Greed

Greed, the insatiable and excessive desire and striving for more even at the expense of others, may be directed toward various goods. In this article, we propose that greed may be conceptualized as a domain-specific construct. Based on a literature review and an expert survey, we identified 10 domains of greed which we operationalized with the DOmain-SPEcific Greed (DOSPEG) questionnaire. In Study 1 (N = 725), we found support for the proposed structure and convergent validity with related constructs. Bifactor-(S-1) models revealed that generic greed is differentially related to the greed domains, indicating that generic greed primarily captures a striving for money and material things. In the second study (N = 591), we found that greed domains had incremental validity beyond generic greed with regard to corresponding criteria assessed via self- and other-reports. We conclude that greed can be conceptualized as a domain-specific construct and propose an onion model reflecting this structure.

Self- and informant-reported personality traits and vaccination against COVID-19

As COVID-19 vaccines' accessibility has grown, so has the role of personal choice in vaccination, and not everybody is willing to vaccinate. Exploring personality traits' associations with vaccination could highlight some person-level drivers of, and barriers to, vaccination. We used self- and informant-ratings of the Five-Factor Model domains and their subtraits (a) measured approximately at the time of vaccination with the 100 Nuances of Personality (100NP) item pool (N = 56,575) and (b) measured on average ten years before the pandemic with the NEO Personality Inventory-3 (NEO-PI-3; N = 3,168). We tested individual domains' and either items' (in the 100NP sample) or facets' (in the NEO-PI-3 sample) associations with vaccination, as well as their collective ability to predict vaccination using elastic net models trained and tested in independent sample partitions. Although the NEO-PI-3 domains and facets did not predict vaccination ten years later, the domains correlated with vaccination in the 100NP sample, with vaccinated people scoring slightly higher on neuroticism and agreeableness and lower on openness, controlling for age, sex, and education. Collectively, the five domains predicted vaccination with an accuracy of r = .08. Associations were stronger at the item level. Vaccinated people were, on average, more science-minded, politically liberal, respectful of rules and authority, and anxious but less spiritual, religious, and self-assured. The 100NP items collectively predicted vaccination with r = .31 accuracy. We conclude that unvaccinated people may be a psychologically heterogeneous group and highlight some potential areas for action in vaccination campaigns.

Body mass predicts personality development across 18 years in middle to older adulthood

OBJECTIVE

Various personality traits have longitudinal relations with body mass index (BMI), a measure of body weight and a risk factor for numerous health concerns. We tested these associations' compatibility with causality in either direction.

METHOD

Using three waves of the Wisconsin Longitudinal Study (N = 12,235, Mage  = 53.33 at baseline), we tested how accurately the Five-Factor Model personality domains and their items could collectively predict BMI and change in it with elastic net models. With multilevel models, we tested (a) bidirectional and (b) within-person associations between BMI and personality traits.

RESULTS

The five domains were able to predict concurrent (r = 0.08), but not future BMI. Twenty-nine personality items predicted concurrent and future BMI at r = 0.21 and r = 0.16 to 0.25, respectively. Neither the domains nor items could collectively predict change in BMI. Similarly, no individual trait predicted change in BMI, but BMI predicted changes in Conscientiousness, Agreeableness, and several items (|b*| = 0.03 to 0.08). BMI had within-person correlations with these same traits; time-invariant third factors like genetics or childhood environments therefore could not (fully) account for their relations.

CONCLUSIONS

Body weight may contribute to adults' personality development, but the reverse appears less likely.

Thinking outside the ballot box

A deeply heterogeneous set of ideological cohorts have shaped the course of history. From anarchists and authoritarians to Zionists and Zapatistas, the expansive alphabet of politics demands an equally expansive psychological vocabulary to describe political belief systems. We propose that constructing such a vocabulary is best facilitated by decentering familiar models that emphasize psychological differences between leftists and rightists. Synthesizing recent developments in the fields of personality, political science, and psychopathology, we characterize individual variation in politics as high-dimensional, heterarchical, intrapersonally eclectic, and contextually shaped and activated. Developing a data-driven taxonomic model of political-psychological phenomena will help create a foundational base of knowledge within political psychology that is more rigorous, more replicable, and certainly richer to investigate.

Niche diversity effects on personality measurement - evidence from large national samples during the COVID-19 pandemic

We report systematic variability in the psychometric properties of a brief personality inventory during the early stages of the COVID-19 pandemic. Drawing upon recent discussions about the universality vs cultural relativism of personality measures, we review and comparatively test theories predicting systematic variability in personality measurement across cultures using an established brief personality measure applied to population samples in 16 nations during the first wave of the COVID-19 pandemic (N = 35,052). We found systematic variation in factor replicability and effective dimensionality. In line with previous theorizing, factors replicated better in contexts with greater niche diversity. Examining possible drivers underlying this association, the investigation of the individual components in the niche construction index suggested that life expectancy and to a lesser degree economic complexity are associated with greater personality structure differentiation. Population-level indicators of acute threat due to COVID-19 did not show credible effects. These patterns suggest that a) investigation of personality structure in population samples can provide useful insights into personality dynamics, b) socioecological factors have a systematic impact on survey responses, but c) we also need better theorizing and research about both personality and culture to understand how niche construction dynamics operate.

The Pandemic Anxiety Inventory: A validation study

The Pandemic Anxiety Inventory (PAI) assesses anxiety symptoms individuals attribute to the presence of a pandemic. We conducted this study of 379 British adults during the COVID-19 pandemic and found that the PAI exhibited excellent reliability and solid criterion validity. Pandemic anxiety was associated with reduced social support, anticipated life changes, financial strain, job loss, economic insecurity, and the hospitalization or death of a close friend or relative. Using correlational and bifactor analyses, we found that the PAI demonstrated solid convergent and discriminant validity. The findings suggest that the PAI can be used in research and clinical practice.

Interdependencies Between Family and Friends in Daily Life: Personality Differences and Associations with Affective Well-Being Across the Lifespan

Family and friends are central to human life and well-being. Yet, interdependencies between family and friends have scarcely been examined. How is the relative frequency of daily contact with family and friends (i.e., the friends/family-ratio) related to personality and to well-being? In an experience sampling study with 396 participants (M age= 40 years, range 14-88 years, 52% females), we studied how the friends/family-ratio in contact differed along Big Five personality trait scores and was connected to affective well-being across six daily measurements on nine days (average of 55 assessments). Most participants reported more daily contact with family than friends (i.e. they held a family orientation), but individual differences were substantial. More agreeable individuals reported a greater family orientation. More extraverted individuals reported more positive affect in the company of friends than with family. Age moderated the effect of the friends/family-ratio on positive affect. Younger adults reported less positive affect in the company of family, yet older adults reported more positive affect in the company of family, the more they were friendship oriented. We discuss how examining the friends/family-ratio extends previous knowledge on personality differences in social relationships, and how the friends/family-ratio yields promising, yet challenging, future directions in personality-relationship associations.

Test-Retest Reliability and Construct Validity of the Brief Dark Triad Measurements

Despite the widespread use of the Dirty Dozen (DD) and Short Dark Triad (SD3) as inventories for antagonist personality constructs, appropriately powered studies on their test-retest reliability (r^tt) are lacking. We report the 12-day r^tt-s of the DD and SD3 scales. Leveraging the test-retest data, we also calculated their convergent and discriminant correlations while controlling for measurement error. Median r^tt-s were .87 and .90 (N = 500) for the DD and SD3 scales, respectively, substantially higher than their internal consistencies. Convergent correlations were .77, .63 and .64 for Machiavellianism, Narcissism and Psychopathy, respectively. Discriminant correlations between the Machiavellianism and Psychopathy scales had a median of .65, pointing to their being effectively indistinguishable traits in the SD3 and DD. The DD and SD3 items had median r^tt-s of .69 and .71, respectively. We emphasize the importance of the r^tt for scale development and validation.

Investigating general and specific psychopathology factors with nuance-level personality traits

Mental health disorders share substantial variance, prompting researchers to develop structural models that can capture both generalised psychopathology risk and disorder/symptom-specific variation. This study investigated the associations of the general and specific psychopathology factors with multiple personality trait hierarchy levels: broad domains, their facets and nuances (N = 1839 Estonian adults). A bi-factor model with a general 'p' factor and specific factors for internalising problems, thought disorders and substance use best represented psychopathology structure. Although traits' predictive accuracy varied across psychopathology factors, nuances (the lowest level personality units) provided higher predictive accuracy and higher discriminant validity than domains. For example, traits related to high vulnerability, depression and immoderation and low friendliness and achievement striving were most strongly associated with the p factor. Nuances may prove useful for predicting and understanding general and specific psychopathology forms.

The social evolution of individual differences: Future directions for a comparative science of personality in social behavior

Personality is essential for understanding the evolution of cooperation and conflict in behavior. However, personality science remains disconnected from the field of social evolution, limiting our ability to explain how personality and plasticity shape phenotypic adaptation in social behavior. Researchers also lack an integrative framework for comparing personality in the contextualized and multifaceted behaviors central to social interactions among humans and other animals. Here we address these challenges by developing a social evolutionary approach to personality, synthesizing theory, methods, and organizing questions in the study of individuality and sociality in behavior. We critically review current measurement practices and introduce social reaction norm models for comparative research on the evolution of personality in social environments. These models demonstrate that social plasticity affects the heritable variance of personality, and that individual differences in social plasticity can further modify the rate and direction of adaptive social evolution. Future empirical studies of frequency- and density-dependent social selection on personality are crucial for further developing this framework and testing adaptive theory of social niche specialization.

Comorbidity and heterogeneity: Two challenges for personality pathology research

We critique the general state of methodological rigor in contemporary personality pathology research, focusing on challenges in study design, assessment, and data analysis resulting from two pervasive problems: comorbidity and heterogeneity. To inform our understanding of this literature, we examined every article published in the two main specialty journals for personality pathology research-Personality Disorders: Theory, Research, and Treatment and the Journal of Personality Disorders-in the 18-month period from January 2020 to June 2021 (a total of 23 issues and 197 articles). Our review of this database indicated that only three forms of personality pathology have generated substantial attention in the recent literature: borderline personality disorder (featured in 93 articles), psychopathy/antisocial personality disorder (39 articles), and narcissism/narcissistic personality disorder (28 articles), so we highlight them in our review. We discuss comorbidity-related problems that arise from group-based designs and recommend instead that researchers assess multiple forms of psychopathology as continuous dimensions. We offer separate recommendations for addressing heterogeneity in diagnosis- versus trait-based studies. For the former, we recommend that researchers (a) use measures that permit criterion-level analyses and (b) routinely report criterion-level results. For the latter, we emphasize the importance of examining specific traits when measures are known to be highly heterogeneous/multidimensional. Finally, we encourage researchers to work toward a truly comprehensive trait dimensional model of personality pathology. We suggest that this might include expanding the current alternative model of personality disorders to include additional content related to borderline features, psychopathy, and narcissism. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

The Role of the Context of Physical Activity for Its Association with Affective Well-Being: An Experience Sampling Study in Young Adults

Physical activity and being outdoors both improve affective well-being. However, little is known about the synergistic effects between them and the influences of contextual factors such as the life domain of physical activity (work-, chores-, leisure, or sports-related) or the type of the outdoor environment (green space, blue space, or city area) on mood. This study investigates the synergistic effects of physical activity and being outdoors as well as the potential role of contextual factors on mood. A total of 158 individuals aged 18-25 years (133 females) participated in a 14-day experience sampling study. Participants received seven prompts per day and answered questions about their physical activity, contextual factors, and affective well-being. Physical activity and being outdoors were associated with concurrent higher levels of positive and lower levels of negative affect compared to being physically inactive or being indoors, respectively. However, no synergistic effects were found. Being outdoors in a city area was associated with a less positive and more negative affect than being in nature. Work- and chores-related physical activity was associated with less positive affect and more negative affect compared to sports- or leisure-related physical activity. To foster positive affect, people should schedule leisure-related physical activity in nature.

Social expectations and abilities to meet them as possible mechanisms of youth personality development

OBJECTIVE

Personality traits change from childhood through late-adolescence, however the effects of social expectations and self-regulatory efforts remain unknown. This study aims to explore mechanisms underlying personality development by assessing mean levels personality traits from childhood to late-adolescence.

METHOD

We used Common-Language California Child Q-Set to measure youths' (N=11,000) mean personality trait levels; social expectations for these traits as perceived by parents (N=47), teachers (N=42) and students (N=120); and self-regulatory efforts required for achieving the desired levels in these traits as perceived by parents (N=27), teachers (N=26) and students (N=54).

RESULTS

Expectations for youths' traits were consistent, regardless of raters' or youths' age. In our unique between-trait study design, traits' mean levels were positively associated with expectations for them, but age differences minimally tracked these expectations. Traits' required self-regulatory efforts were not associated with their developmental trends.

CONCLUSIONS

Results were only partially consistent with existing developmental theories of personality development.

Do the Big Five personality traits interact to predict life outcomes? Systematically testing the prevalence, nature, and effect size of trait-by-trait moderation

Personality researchers have posited multiple ways in which the relations between personality traits and life outcomes may be moderated by other traits, but there are well-known difficulties in reliable detection of such trait-by-trait interaction effects. Estimating the prevalence and magnitude base rates of trait-by-trait interactions would help to assess whether a given study is suited to detect interaction effects. We used the Life Outcomes of Personality Replication Project dataset to estimate the prevalence, nature, and magnitude of trait-by-trait interactions across 81 self-reported life outcomes ( n ≥ 1350 per outcome). Outcome samples were divided into two halves to examine the replicability of observed interaction effects using both traditional and machine learning indices. The study was adequately powered (1 − β ≥ .80) to detect the smallest interaction effects of interest (interactions accounting for a Δ R2 of approximately .01) for 78 of the 81 (96%) outcomes in each of the partitioned samples. Results showed that only 40 interactions (5.33% of the original 750 tests) showed evidence of strong replicability through robustness checks (i.e., demographic covariates, Tobit regression, and ordinal regression). Interactions were also uniformly small in magnitude. Future directions for research on trait-by-trait interactions are discussed.

Childhood maltreatment mediates the effect of the genetic background on psychosis risk in young adults

Childhood maltreatment (CM) and genetic vulnerability are both risk factors for psychosis, but the relations between them are not fully understood. Guided by the recent identification of genetic risk to CM, this study investigates the hypothesis that genetic risk to schizophrenia also increases the risk of CM and thus impacts psychosis risk. The relationship between schizophrenia polygenetic risk, CM, and psychotic-like experiences (PLE) was investigated in participants from the Utrecht Cannabis Cohort (N = 1262) and replicated in the independent IMAGEN cohort (N = 1740). Schizophrenia polygenic risk score (SZ-PRS) were calculated from the most recent GWAS. The relationship between CM, PRS, and PLE was first investigated using multivariate linear regression. Next, mediation of CM in the pathway linking SZ-PRS and PLE was examined by structural equation modeling, while adjusting for a set of potential mediators including cannabis use, smoking, and neuroticism. In agreement with previous studies, PLE were strongly associated with SZ-PRS (B = 0.190, p = 0.009) and CM (B = 0.575, p < 0.001). Novel was that CM was also significantly associated with SZ-PRS (B = 0.171, p = 0.001), and substantially mediated the effects of SZ-PRS on PLE (proportion mediated = 29.9%, p = 0.001). In the replication cohort, the analyses yielded similar results, confirming equally strong mediation by CM (proportion mediated = 34.7%, p = 0.009). Our results suggest that CM acts as a mediator in the causal pathway linking SZ-PRS and psychosis risk. These findings open new perspectives on the relations between genetic and environmental risks and warrant further studies into potential interventions to reduce psychosis risk in vulnerable people.

Sex Differences in Fearful Personality Traits Are Mediated by Physical Strength

Across cultures, women reliably exhibit higher levels of Neuroticism than men. Recent work shows that this sex difference, particularly in Neuroticism’s anxiety facet, is partly mediated by the sex difference in physical strength. We build on this finding by testing pre-registered predictions of mediation by physical strength of the sex differences in HEXACO Emotionality and its Anxiety and Fearfulness facets (HEXACO stands for the factors of honesty–humility, emotionality, extraversion, agreeableness, conscientiousness, and openness to experience). Facultative calibration models predict that levels of these two facets, but not necessarily Emotionality’s other facets, will be adaptively adjusted during ontogeny to a person’s relative physical formidability. Results from five samples of U.S. undergraduates (total N = 1,399) showed that strength mediated the sex difference (women > men) in Emotionality and all its facets, but that the mediation effect was strongest for Fearfulness and weakest for Sentimentality. Overall, findings are consistent with the hypothesis that physical strength explains sex differences found in fearful and anxious personality traits.

Is there a g-factor of genderedness? Using a continuous measure of genderedness to assess sex differences in personality, values, cognitive ability, school grades, and educational track

Some of the most persistently recurring research questions concern sex differences. Despite much progress, limited research has thus far been undertaken to investigate whether there is one general construct of genderedness that runs through various domains of human individuality. In order to determine whether being gender typical in one way goes together with being gender typical also in other ways, we investigated whether 16-year-old Finnish girls and boys ( N = 4106) differ in their personality, values, cognitive abilities, academic achievement, and educational track. To do this, we updated the prediction-focused gender diagnosticity approach by methods of cross-validation for more accurate estimation. The preregistered analysis shows that sex differences vary across domains ( Ds = 0.15–1.48), that fine-grained measures, such as grade profiles, can be accurate in predicting sex (77.5%), whereas some summary indices, such as general cognitive ability, do not perform above-chance (52.4%), and that the genderedness correlations, despite all being positive, are too weak (average partial correlation, r´ = .09, range .03–.34) to support a general factor of genderedness. Our more exploratory analyses show that more focus on gender typicality could offer important insights into the role of gender in shaping people’s lives.

Stability and change in the Big Five personality traits: Findings from a longitudinal study of Mexican-origin adults

A large body of research has documented how personality develops across adulthood, yet very little longitudinal work has examined whether these findings generalize beyond predominantly middle-class, highly educated White American or Western European individuals. This preregistered study uses longitudinal data from 1,110 Mexican-origin adults who completed a well-validated personality measure, the Big Five Inventory, up to six times across 12 years. Individuals generally maintained their rank ordering on the Big Five over time (rs = .66-.80), and the relative ordering of the Big Five within persons was also highly stable (rs = .58-.66). All of the Big Five traits showed small, linear mean-level decreases across adulthood. These trajectories showed few associations with sociodemographic factors (sex, education level, and IQ) and cultural factors (generational status, age at immigration, Spanish/English language preference, Mexican cultural values, American cultural values, and ethnic discrimination). The statistically significant findings we did observe mostly concerned associations between cultural values and Extraversion, Agreeableness, and Openness. Acquiescence bias was also positively associated with Big Five personality trait scores at every wave. There was no evidence of mean-level change in the Big Five when including time-varying acquiescence scores as covariates in the models. Divergences between the present findings and previous research highlight the need to study personality development with diverse aging samples. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

Test-retest reliability of the HEXACO-100-And the value of multiple measurements for assessing reliability

Despite the widespread use of the HEXACO model as a descriptive taxonomy of personality traits, there remains limited information on the test-retest reliability of its commonly-used inventories. Studies typically report internal consistency estimates, such as alpha or omega, but there are good reasons to believe that these do not accurately assess reliability. We report 13-day test-retest correlations of the 100- and 60-item English HEXACO Personality Inventory-Revised (HEXACO-100 and HEXACO-60) domains, facets, and items. In order to test the validity of test-retest reliability, we then compare these estimates to correlations between self- and informant-reports (i.e., cross-rater agreement), a widely-used validity criterion. Median estimates of test-retest reliability were .88, .81, and .65 (N = 416) for domains, facets, and items, respectively. Facets' and items' test-retest reliabilities were highly correlated with their cross-rater agreement estimates, whereas internal consistencies were not. Overall, the HEXACO Personality Inventory-Revised demonstrates test-retest reliability similar to other contemporary measures. We recommend that short-term retest reliability should be routinely calculated to assess reliability.

Conceptualizing and Studying Characteristics, Units, and Fits of Persons and Environments: A Coherent Synthesis

Based on a perspective on personality coherence as the extent to which personality-relevant characteristics are differentiated and integrated within a person in his or her environment, we propose a synthesis that builds on and harmonizes existing and partly conflicting theories, methodological approaches, and empirical findings. This understanding of personality coherence needs clear definitions of person and environment characteristics. We define traits as characteristics of the person, adaptations as characteristics of the person-in-contexts, and states as characteristics of the person-in-situations. Thus, our synthesis involves concepts of environments and person-environment units. Next, we provide testable criteria to differentiate characteristics of persons from characteristics of person-environment units and to identify dispositional traits for a narrow-sense perspective on personality coherence. We raise awareness of the importance of fit between (profiles of) person and environment characteristics for an understanding of the integrated uniqueness of persons in their environments. We outline implications of this broader perspective on personality coherence for personality development, self-regulation, social integration, well-being, and psychological interventions. Lastly, we conclude that the analysis of an individual’s uniqueness and personality differences requires information about how well-defined, well-differentiated, well-integrated, and well-operationalized person(ality) variables are actually expressed in, or interact and transact with, the individual environment.

The finer details? The predictability of life outcomes from Big Five domains, facets, and nuances

Associations between personality traits and life outcomes are usually studied using the Big Five domains and, occasionally, their facets. But recent research suggests these associations may be driven by the items (reflecting personality nuances) chosen to measure these traits. Using a large dataset (N = 6126), we examined associations with 53 self-reported outcomes using domains, facets and items (markers for nuances), training and validating models in different sample partitions. Facets better predicted outcomes than domains (on average, 18.0% versus 16.6% of variance explained), but items provided the most accurate predictions (on average 20.9%). Removing domain and facet variance from items had no effect on their predictive validity, suggesting that outcome-related information was often in items' unique variances (i.e., nuance-specific). Item-based prediction also showed the highest discriminant validity. These observations, replicating previous findings, suggest that personality traits' valid associations with outcomes are often driven by narrow personality nuances.

The HEX-ACO-18: Developing an Age-Invariant HEXACO Short Scale Using Ant Colony Optimization

In this study, we developed an age-invariant 18-item short form of the HEXACO Personality Inventory for use in developmental personality research. We combined the item selection procedure ant colony optimization (ACO) and the model estimation approach local structural equation modeling (LSEM). ACO is a metaheuristic algorithm that evaluates items based on the quality of the resulting short scale, thus directly optimizing criteria that can only be estimated with combinations of items, such as model fit and measurement invariance. LSEM allows for model estimation and measurement invariance testing across a continuous age variable by weighting participants, rather than splitting the sample into artificial age groups. Using a HEXACO-100 dataset of N = 6,419 participants ranging from 16 to 90 years of age, we selected a short form optimized for model fit, measurement invariance, facet coverage, and balance of item keying. To achieve scalar measurement invariance and brevity, but maintain construct coverage, we selected 18 items to represent three out of four facets from each HEXACO trait domain. The resulting HEX-ACO-18 short scale showed adequate model fit and scalar measurement invariance across age. Furthermore, the usefulness and versatility of the item and person sampling procedures ACO and LSEM is demonstrated.

An Adaptationist Framework for Personality Science

The field of personality psychology aspires to construct an overarching theory of human nature and individual differences: one that specifies the psychological mechanisms that underpin both universal and variable aspects of thought, emotion, and behaviour. Here, we argue that the adaptationist toolkit of evolutionary psychology provides a powerful meta–theory for characterizing the psychological mechanisms that give rise to within–person, between–person, and cross–cultural variations. We first outline a mechanism–centred adaptationist framework for personality science, which makes a clear ontological distinction between (i) psychological mechanisms designed to generate behavioural decisions and (ii) heuristic trait concepts that function to perceive, describe, and influence others behaviour and reputation in everyday life. We illustrate the utility of the adaptationist framework by reporting three empirical studies. Each study supports the hypothesis that the anger programme—a putative emotional adaptation—is a behaviour–regulating mechanism whose outputs are described in the parlance of the person description factor called ‘Agreeableness’. We conclude that the most productive way forward is to build theory–based models of specific psychological mechanisms, including their culturally evolved design features, until they constitute a comprehensive depiction of human nature and its multifaceted variations. © 2020 European Association of Personality Psychology

Personality traits and physical functioning: a cross-sectional multimethod facet-level analysis

BACKGROUND

This study aimed to investigate whether personality traits and their facets are associated with a multi-methods assessment of physical activity and walking performance and whether they explain the discrepancy between self-reported and accelerometer-assessed physical activity.

METHODS

The participants were community-dwelling, 70-85-year-old men and women from Finland (n = 239) who were part of a clinical trial. Personality traits and their facets were measured using the 240-item NEO Personality Inventory-3. Physical activity was assessed using questions about frequency, intensity and duration of exercise (self-reported metabolic equivalent minutes (MET)) and by tri-axial accelerometers (light and moderate-to-vigorous physical activity and total MET-minutes). Walking performance was measured by 6-min walking distance and 10-m walking speed. Linear regression analyses were controlled for age, sex, education, body mass index, disease burden, and intervention group.

RESULTS

The activity facet of extraversion was positively associated with self-reported MET-minutes, accelerometer-assessed light physical activity and walking performance. The positive emotions facet of extraversion was positively associated with self-reported MET-minutes and walking performance. Openness and its facets and the excitement seeking facet of extraversion were positively associated with walking performance. Conscientiousness and most of its facets were associated with both physical activity and walking performance, but these associations were not statistically significant after accounting for all control variables. The impulsiveness facet of neuroticism was negatively associated with accelerometer-assessed light physical activity and walking performance, but the associations with walking performance attenuated after accounting for all control variables. Accelerometer-assessed moderate-to-vigorous physical activity was not associated with personality traits or facets. Discrepancy analyses suggest that openness and the excitement-seeking facet of extraversion were associated with higher self-reported than accelerometer-assessed physical activity.

CONCLUSIONS

Consistently across methods, older adults who scored higher on facets of extraversion and conscientiousness tended to be more active and outperformed peers on walking performance. Older adults who scored higher in the facets of openness and the excitement-seeking facet of extraversion had better walking performance but also overestimated their self-reported physical activity compared to the accelerometers.

Bottom Up Construction of a Personality Taxonomy

Abstract. In pursuit of a more systematic and comprehensive framework for personality assessment, we introduce procedures for assessing personality traits at the lowest level: nuances. We argue that constructing a personality taxonomy from the bottom up addresses some of the limitations of extant top-down assessment frameworks (e.g., the Big Five), including the opportunity to resolve confusion about the breadth and scope of traits at different levels of the organization, evaluate unique and reliable trait variance at the item level, and clarify jingle/jangle issues in personality assessment. With a focus on applications in survey methodology and transparent documentation, our procedures contain six steps: (1) identification of a highly inclusive pool of candidate items, (2) programmatic evaluation and documentation of item characteristics, (3) test-retest analyses of items with adequate qualitative and quantitative properties, (4) analysis of cross-ratings from multiple raters for items with adequate retest reliability, (5) aggregation of ratings across diverse samples to evaluate generalizability across populations, (6) evaluations of predictive utility in various contexts. We hope these recommendations are the first step in a collaborative effort to identify a comprehensive pool of personality nuances at the lowest level, enabling subsequent construction of a robust hierarchy – from the bottom up.

That Takes the BISCUIT

Abstract. The predictive accuracy of personality-criterion regression models may be improved with statistical learning (SL) techniques. This study introduced a novel SL technique, BISCUIT (Best Items Scale that is Cross-validated, Unit-weighted, Informative, and Transparent). The predictive accuracy and parsimony of BISCUIT were compared with three established SL techniques (the lasso, elastic net, and random forest) and regression using two sets of scales, for five criteria, across five levels of data missingness. BISCUIT’s predictive accuracy was competitive with other SL techniques at higher levels of data missingness. BISCUIT most frequently produced the most parsimonious SL model. In terms of predictive accuracy, the elastic net and lasso dominated other techniques in the complete data condition and in conditions with up to 50% data missingness. Regression using 27 narrow traits was an intermediate choice for predictive accuracy. For most criteria and levels of data missingness, regression using the Big Five had the worst predictive accuracy. Overall, loss in predictive accuracy due to data missingness was modest, even at 90% data missingness. Findings suggest that personality researchers should consider incorporating planned data missingness and SL techniques into their designs and analyses.

A Systematic Review and Meta-Analysis of the Association between Personality and Cognitive Failures / Complaints

This systematic review examined the associations of personality traits with cognitive failures and cognitive complaints across the adult lifespan. We first present three conceptual models (cognitive abilities, mental processes, and reporting bias) that could explain why personality is related to such behaviors. We then conducted five separate meta-analyses with 10-17 cross-sectional samples (N = 7,642 - 10,564) that were identified through a systematic literature search following the MOOSE guidelines. Higher neuroticism (r = .39, 95% CI [0.32, 0.45]) and lower conscientiousness (r = -.36, 95% CI [-.42, -.29]) were related to more cognitive failures and complaints. Lower scores on the remaining traits were also associated with more cognitive failures and complaints, yet to a weaker extent (extraversion: r = -.14, 95% CI [-.20, -.08]; openness: r = -.07, 95% CI [-.11, -.03]; agreeableness: r = -.13, 95% CI [-.21, -.05]). With the current empirical evidence, it is not possible to tell which of the three conceptual models explains how much of the associations. For neuroticism, there is more support for the mental processes than the reporting bias model, but more research is needed to fully test mechanistic models. We provide several suggestions for future research to address existing limitations of the literature on personality and cognitive failures and complaints.

Big Five facets' associations with pro-environmental attitudes and behaviors

Climate change mandates us to understand why individuals do (not) behave pro-environmentally and personality traits are well suited for this purpose. Past research has mostly focused on how broad domain-level personality traits were associated with pro-environmental attitudes and behaviors. In two datasets (N = 501 and 287), we examined whether personality facets provided a more detailed picture of how personality traits were associated with pro-environmental attitudes and behaviors. It was found that some facets were the main drivers of domain-level associations. Furthermore, it was found that facets, collectively, predicted pro-environmental attitudes (r = .50 to .52) and behaviors (r = .29 to .42) in holdout datasets. This predictive ability was on par with the predictive ability of domains. Therefore, facets provided a greater understanding of how personality traits were associated with pro-environmental attitudes and behaviors. Furthermore, facets provided a similar predictive ability of pro-environmental attitudes and behaviors to that of domains.

Psychosocial Twin Cohort Studies in Japan: The Keio Twin Research Center (KoTReC)

The Keio Twin Research Center (KoTReC) was established in 2009 at Keio University to combine two longitudinal cohort projects - the Keio Twin Study (KTS) for adolescence and adulthood and the Tokyo Twin Cohort Project (ToTCoP) for infancy and childhood. KoTReC also conducted a two-time panel study of self-control and psychopathology in twin adolescence in 2012 and 2013 and three independent anonymous cross-sectional twin surveys (ToTcross) before 2012 - the ToTCross, the Junior and Senior High School Survey and the High School Survey. This article introduces the recent research designs of KoTReC and its publications.

Using item-level analyses to better understand the consequences of partialing procedures: An example using the Dark Triad

OBJECTIVE

Partialing procedures are frequently used in psychological research. The present study sought to further explore the consequences of partialing, focusing on the replicability of partialing-based results.

METHOD

We used popular measures of the Dark Triad (DT; Machiavellianism, narcissism, and psychopathy) to explore the replicability of partialing procedures. We examined whether the residual content of popular DT scales is similar to the residual content of DT scales derived from separate samples based on relations with individual items from the IPIP-NEO-120, allowing for a finer-grained analysis of residual variable content.

RESULTS

Profiles were compared using three sample sizes (Small N = 156-157, Moderate N = 313-314, Large N = 627-628) randomly drawn from a large MTurk sample (N = 1,255). There was low convergence between original and residual DT scales within samples. Additionally, results showed that the content of residual Dirty Dozen scales was not similar across samples. Comparable results were found for short Dark Triad-Machiavellianism, but only in the moderate and small samples.

CONCLUSION

The results indicate that there are important issues that arise when using partialing procedures, including replicability issues surrounding residual variables. Reasons for the observed results are discussed and further research examining the replicability of residual-based results is recommended.

What Personality Scales Measure: A New Psychometrics and Its Implications for Theory and Assessment

Classical psychometrics held that scores on a personality measure were determined by the trait assessed and random measurement error. A new view proposes a much richer and more complex model that includes trait variance at multiple levels of a hierarchy of traits and systematic biases shaped by the implicit personality theory of the respondent. The model has implications for the optimal length and content of scales and for the use of scales intended to correct for evaluative bias; further, it suggests that personality assessments should supplement self-reports with informant ratings. The model also has implications for the very nature of personality traits.

Polygenic Score for Alzheimer Disease and cognition: The mediating role of personality

Alzheimer's disease (AD) polygenic risk score (PGS) is associated with lower cognitive functioning even among older individuals without dementia. We tested the hypothesis that personality traits mediate the association between AD genetic risk and cognitive functioning. Participants (N > 7,000, aged 50-99 years old) from the Health and Retirement Study were genotyped and completed personality and cognition tests at baseline. Cognition was assessed again four years later. Bootstrap analysis revealed that a higher AD polygenic risk score was associated with lower cognitive scores at baseline through higher neuroticism, lower conscientiousness, and lower levels of the industriousness facet of conscientiousness. In addition, a higher polygenic score for AD was associated with decline in cognition over four years in part through higher neuroticism and lower conscientiousness. The findings support the hypothesis that the genetic vulnerability for AD contributes to cognitive functioning in part through its association with personality traits.

Personality Across the Life Span

Trait stability and maturation are fundamental principles of contemporary personality psychology and have been shown to hold across many cultures. However, it has proven difficult to move beyond these general findings to a detailed account of trait development. There are pervasive and unexplained inconsistencies across studies that may be due to ( a) insufficient attention to measurement error, ( b) subtle but age-sensitive differences in alternative measures of the same trait, or ( c) different perspectives reflected in self-reports and observer ratings. Multiscale, multimethod-and ideally multinational-studies are needed. Several hypotheses have been proposed to account for trait stability and change, but supporting evidence is currently weak or indirect; trait development is a fertile if sometimes frustrating field for theory and research. Beyond traits, there are approaches to personality development that are of interest to students of adult development, and these may be fruitfully addressed from a trait perspective.