Integration of the big five and circumplex approaches to trait structure

The Norwegian Adaptation of the Big Five Inventory-2

Two studies were conducted to assess the psychometric properties of scores from the Norwegian adaptation of the Big Five Inventory-2 (BFI-2). In Study 1, the BFI-2 was translated to Norwegian and the scores from a convenience sample (N = 606) demonstrated good psychometric properties. BFI-2 scores from subsamples correlated in expected ways with self- and other ratings of the Big Five, and with self-ratings of empathic concern and perspective taking. In Study 2, after some minor improvements in translation, the psychometric properties of BFI-2 scores were assessed in a new sample (N = 409). Results from random intercept EFA of scores supported the proposed model. The psychometric properties of two shorter versions of the inventory, the BFI-2-S and BFI-2-XS, were also examined. Overall, the results suggest that the Norwegian adaptation of the BFI-2 provide reliable and valid scores.

Anger Expression in Negotiation: The Effects of Communication Channels and Anger Intensity

This research aimed to explore the effects of communication channels and anger intensity as factors determining how the expression of anger affects negotiation outcomes. Based on the "emotions as social information" (EASI) model and media richness theory, we tried to examine how anger expression influences both economic and psychological negotiation outcomes as a function of communication channels and explore its underlying mechanism. In Study 1, 470 participants were randomly assigned to one of the five experimental conditions-neutral, anger expression via text/emoticon/voice/video-and asked to participate in an online negotiation task. The results showed a significant main effect of communication channel; partner's anger expression via communication channels richer in non-verbal cues (voice and video) led participants to make a higher concession and report lower satisfaction with negotiation and lower desire for future interaction with the same partner compared to anger expression via less rich channels (text and emoticon). The anger expression effects on psychological outcomes were partially explained by perceiver's anger experience in response to anger display, which is consistent with the affective mechanism proposed by the EASI model. Study 2 examined whether the results of Study 1 could be attributable to the different levels of anger intensity perceived by the participants across different communication channels. Data analyses from 189 participants showed a significant main effect of anger intensity only with a desire for future interaction, but not with satisfaction and concession. The insignificant findings of the latter imply that the observed channel effect in Study 1 cannot be fully explained by the intensity effect.

Compliance With Epidemic Prevention Guidelines Among Wuhan Citizens Under the Stressors of the COVID-19 Pandemic: A Cross-Sectional Multidistrict Comparative Analysis

The current study aims to compare compliance with the COVID-19 prevention guidelines among citizens from 13 districts in Wuhan and to explore the influence of individual-level psychological factors and district-level factors on compliance. A total of 811 participants (52% females) from 13 districts in Wuhan were invited to complete surveys regarding demographics, psychosocial factors and compliance with epidemic prevention guidelines. Individual-level characteristics were combined with district-level measures to create multilevel predictive models of compliance with prevention guidelines, and used the Hierarchical Linear Model (HLM) to analyze the data. Findings revealed that there were significant differences in the compliance of citizens from 13 districts of Wuhan (F = 5.65, P < 0.001). Hierarchical linear model analysis revealed that the risk factors case growth rate, COVID-19-related perceived stress, anxiety, significantly negatively predicted compliance. Hope and conscientiousness significantly positively predicted compliance with prevention guidelines, and the negative predictive effect of anxiety disappeared. Overall, we found significant differences in compliance with prevention guidelines among different districts. Risk factors at the individual level have had a negative impact on individuals’ compliance with prevention guidelines, but this impact can be mitigated by the positive role of personal protective factors such as conscientiousness and hope.

Understanding Loneliness in Adolescence: A Test of Competing Hypotheses on the Interplay of Extraversion and Neuroticism

Given that adolescents often experience fundamental changes in social relationships, they are considered to be especially prone to loneliness. Meanwhile, theory and research highlight that both extraversion and neuroticism are closely intertwined with individual differences in loneliness. Extant research has explored the linear main effects of these personality traits, yet potential non-linear associations (e.g., exponential effects) and the potential interplay of extraversion and neuroticism (e.g., mutual reinforcement effects) remain unknown. We addressed these open questions using cross-sectional and one-year longitudinal data from two adolescent samples (overall N = 583, Mage = 17.57, 60.55% girls) and an information-theoretic approach combined with polynomial regression. Analyses showed little evidence for interaction effects but revealed non-linear effects in addition to the main effects of extraversion and neuroticism on loneliness. For example, the positive cross-sectional association between neuroticism and loneliness was stronger at higher neuroticism levels (i.e., exponential effect). Results differed across loneliness facets in that both traits predicted emotional loneliness, but only extraversion predicted social loneliness. Longitudinal analyses showed that loneliness changes were mainly related to neuroticism. We discuss results in the light of sample differences, elaborate on the importance to differentiate between emotional versus social aspects of loneliness, and outline implications for adolescent development.

Associations Between Openness Facets, Prejudice, and Tolerance: A Scoping Review With Meta-Analysis

The personality factor of openness to experience, which encompasses curiosity, imagination, and a desire for new experiences, has been associated negatively with prejudice and positively with the closely related value of tolerance. While these relationships have been reviewed at the factor level, there has been no review of research at the lower facet level. This review aims to uncover the relationships between the facets of openness and the constructs of prejudice and tolerance. We conducted a preregistered scoping review with meta-analysis following the recommended guidelines from Joanna Briggs Institute. A total of 2,349 articles were reviewed, with 16 primary research articles (or 17 studies) meeting the criteria for inclusion. Aggregated effect sizes via random-effect meta-analysis revealed that all revised neuroticism-extraversion-openness personality inventory (NEO-PI-R) and international personality item pool (IPIP)-based facets of openness significantly predicted prejudice and tolerance. Out of the three measures [i.e., NEO-PI-R, IPIP-NEO, and honesty-humility, emotionality, extraversion, agreeableness, conscientiousness, and openness to experience personality inventory (HEXACO-PI), and the facets of openness examined], the NEO-PI-R facet of value was most strongly associated with prejudice. In contrast, the NEO-PI-R facet of aesthetics was the facet most strongly associated with tolerance. However, these results should be treated as preliminary in light of the small number of meta-analyzed studies and more primary research studies are needed to confirm the trends found in this review. This review represents the first step in the systematic investigation of the link between the facets of openness and components of prejudice and tolerance and contributes toward explaining prejudice and tolerance.

Impact of Authoritative and Laissez-Faire Leadership on Thriving at Work: The Moderating Role of Conscientiousness

This study empirically investigates the less discussed catalytic effect of personality in the relationship of leadership style and employee thriving at work. The growth and sustainability of the organization is linked with the association of leadership style and employee thriving at the worplace. The objectives of this study are to explore the impact of authoritative and laissez-faire leadership styles and the moderating role of the personality trait of conscientiousness on thriving in the workplace. A sample of 312 participants was taken from a leading school system with its branches in Lahore and Islamabad, Pakistan. The participants either worked as managers, teachers in headquarters, or school campuses, respectively. The regression results of the study show that authoritative leadership and conscientiousness have a significantly positive impact on thriving at work. Furthermore, conscientiousness moderates the relationship between laissez-faire style of leadership and thriving at work relationship.. The findings of this study have theoretical implications for authoritative and laissez-faire leadership, employee conscientiousness, and managerial applications for the practitioners.

A facet atlas: Visualizing networks that describe the blends, cores, and peripheries of personality structure

We created a facet atlas that maps the interrelations between facet scales from 13 hierarchical personality inventories to provide a practically useful, transtheoretical description of lower-level personality traits. We generated this atlas by estimating a series of network models that visualize the correlations among 268 facet scales administered to the Eugene-Springfield Community Sample (Ns = 571-948). As expected, most facets contained a blend of content from multiple Big Five domains and were part of multiple Big Five networks. We identified core and peripheral facets for each Big Five domain. Results from this study resolve some inconsistencies in facet placement across instruments and highlight the complexity of personality structure relative to the constraints of traditional hierarchical models that impose simple structure. This facet atlas (also available as an online point-and-click app at tedschwaba.shinyapps.io/appdata/) provides a guide for researchers who wish to measure a domain with a limited set of facets as well as information about the core and periphery of each personality domain. To illustrate the value of a facet atlas in applied and theoretical settings, we examined the network structure of scales measuring impulsivity and tested structural hypotheses from the Big Five Aspect Scales inventory.

An atlas of personality, emotion and behaviour

A novel two-dimensional matrix taxonomy, or atlas, of personality, emotion and behaviour is presented. The two dimensions of the atlas, affiliation and dominance, are demonstrated to have theoretical foundations in neurobiology and social psychology. Both dimensions are divided into five ordinal categories, creating a square matrix of 25 cells. A new catalogue of 20,669 English words descriptive of personality, emotion, behaviour, and power is also presented. The catalogue is more comprehensive than previous catalogues, and is novel in its inclusion of intrapersonal, group, and societal behaviours. All words in the catalogue were scored according to the atlas, facilitating visualisation in two dimensions. This enabled a contiguous and novel comparison of existing psychological taxonomies, as well as broader societal concepts such as leadership, ethics, and crime. Using the atlas, a novel psychological test is developed with improved sensitivity and specificity.

A Hierarchical Integration of Normal and Abnormal Personality Dimensions: Structure and Predictive Validity in a Heterogeneous Sample of Psychiatric Outpatients

Hierarchical, quantitative models of psychopathology focus primarily on higher-order constructs, whereas less is known about the structure and content comprising lower-order dimensions of psychopathology. Here, we address this gap in the literature by using targeted factor analysis to integrate the 25 maladaptive facet-level traits of the Personality Inventory for Diagnostic and Statistical Manual of Mental Disorder-Fifth edition and the 10 aspect-level traits of the normal personality hierarchy within a sample of 198 psychiatric outpatients. A 10-factor solution replicated previous work, with each of the 10 aspects primarily characterizing only one factor. In addition, the 10 factors differentially predicted a range of diagnoses, including alcohol use disorder, major depression, panic disorder, social anxiety, and borderline and avoidant personality disorders. Our results suggest that research on the development, causes, and structure of lower-order traits within the normal personality hierarchy may serve as an important guide to research on the causes and structure of maladaptive personality.

The influence of personality traits and facets on visuo-spatial task performance and self-assessed visuo-spatial inclinations in young and older adults

Aims

Personality traits are suggested to influence adults’ cognitive performance, but little is known about their association with visuo-spatial competence, in terms of those visuo-spatial abilities and inclinations crucial to remaining autonomous, especially with aging. This study newly investigated whether, and to what extent, major traits and narrower facets of personality influence young and older adults’ performance in the so-called objective visuo-spatial abilities (mental rotation and visuo-spatial working memory [VSWM]), and self-assessed visuo-spatial inclinations (pleasure and anxiety in exploring places).

Method

Seventy young adults (18–35 years old) and 70 older adults (65–75 years old) completed the Big-Five questionnaire, objective rotation and VSWM tasks, and spatial self-assessments on pleasure and anxiety in exploring places.

Results

Hierarchical regression models confirmed that age negatively predicted the variance in objective visuo-spatial tasks, but not in self-assessed visuo-spatial inclinations, while only the latter were slightly influenced by gender (in favor of men). Further, both objective visuo-spatial abilities (albeit modestly) and self-assessed visuo-spatial inclinations were predicted by higher Conscientiousness. The latter were also predicted by higher Emotional Stability. Finally, a better objective visuo-spatial performance was explained (again modestly) by lower Dynamism and Politeness, and higher Emotion Control, while higher Perseverance, Emotion Control and Cooperativeness explained a moderate part of the variance in the positive self-assessed visuo-spatial inclinations.

Conclusions

Our findings indicate that, beyond age and gender, some personality traits and facets predict self-assessed visuo-spatial inclinations to a larger extent than objective visuo-spatial performance. These results are discussed within the spatial cognition and aging framework.

Varimax Rotation Based on Gradient Projection Is a Feasible Alternative to SPSS

Gradient projection rotation (GPR) is an openly available and promising tool for factor and component rotation. We compare GPR toward the Varimax criterion in principal component analysis to the built-in Varimax procedure in SPSS. In a simulation study, we tested whether GPR-Varimax yielded multiple local solutions by creating population simple structure with a single optimum and with two optima, a global and a local one (double-optimum condition). The other conditions comprised the number of components (k = 3, 6, 9, and 12), the number of variables per component (m/k = 4, 6, and 8), the number of iterations per rotation (i = 25 and 250), and whether loadings were Kaiser normalized before rotation or not. GPR-Varimax was conducted with unrotated and multiple (q = 1, 10, 50, and 100) random start loadings. We found equal results for GPR-Varimax and SPSS-Varimax in most conditions. The few very small differences in favor of SPSS-Varimax were eliminated when Kaiser-normalized loadings and 250 iterations per rotation were used. Selecting the best solution out of multiple random starts in GPR-Varimax increased proximity to population components in the double-optimum condition with Kaiser normalized loadings, for which GPR-Varimax recovered population structure better than SPSS-Varimax. We also included an empirical example and found that GPR-Varimax and SPSS-Varimax yielded highly similar solutions for orthogonal simple structure in a real data set. We suggest that GPR-Varimax can be used as an alternative to Varimax rotation in SPSS. Users of GPR-Varimax should allow for at least 250 iterations, normalize loadings before rotation, and select the best solution from at least 10 random starts to ensure optimal results.

Oxytocin conditions trait-based rule adherence

Rules, whether in the form of norms, taboos or laws, regulate and coordinate human life. Some rules, however, are arbitrary and adhering to them can be personally costly. Rigidly sticking to such rules can be considered maladaptive. Here, we test whether, at the neurobiological level, (mal)adaptive rule adherence is reduced by oxytocin—a hypothalamic neuropeptide that biases the biobehavioural approach-avoidance system. Participants (N = 139) self-administered oxytocin or placebo intranasally, and reported their need for structure and approach-avoidance sensitivity. Next, participants made binary decisions and were given an arbitrary rule that demanded to forgo financial benefits. Under oxytocin, participants violated the rule more often, especially when they had high need for structure and high approach sensitivity. Possibly, oxytocin dampens the need for a highly structured environment and enables individuals to flexibly trade-off internal desires against external restrictions. Implications for the treatment of clinical disorders marked by maladaptive rule adherence are discussed.

DEMQOL and DEMQOL-Proxy: a Rasch analysis

Background

DEMQOL and DEMQOL-Proxy are widely used patient reported outcome measures (PROMs) of health related quality of life in people with dementia (PWD). Growing interest in routine use of PROMs in health care calls for more robust instruments that are potentially fit for reliable and valid comparisons at the micro-level (patients) and meso-level (clinics, hospitals, care homes).

Methods

We used modern psychometric methods (based on the Rasch model) to re-evaluate DEMQOL (1428 PWDs) and DEMQOL-Proxy (1022 carers) to ensure they are fit for purpose. We evaluated scale to sample targeting, ordering of item thresholds, item fit to the model, and differential item functioning (sex, age, relationship), local independence, unidimensionality and reliability on the full set of items and a smaller item set.

Results

For both DEMQOL and DEMQOL-Proxy the smaller item set performed better than the original item set. We developed revised scores using the items from the smaller set.

Conclusions

We have improved the scoring of DEMQOL and DEMQOL-Proxy using the Rasch measurement model. Future work should focus on the problems identified with content and response options.

Development and validation of the Circumplex Scales of Interpersonal Problems

The interpersonal circumplex (IPC) is a well-established model of social behavior that spans basic personality and clinical science. Although several measures are available to assess interpersonal functioning (e.g., motives, traits) within an IPC framework, researchers studying interpersonal difficulties have relied primarily on a single measure, the Inventory of Interpersonal Problems-Circumplex Scales (IIP-C; Horowitz, Alden, Wiggins, & Pincus, 2000). Although the IIP-C is a widely used measure, it is currently the only measure specifically designed to assess maladaptive interpersonal behavior using the IPC framework. The purpose of the current study is to describe a new 64-item measure of interpersonal problems, called the Circumplex Scales of Interpersonal Problems (CSIP). Interpersonal problems derived from a pool of 400 personality-related problems were assessed in two large university samples. In the scale development sample (N = 1,197), items that best characterized each sector of the IPC were identified, and a set of eight 8-item circumplex scales was developed. Psychometric properties of the resulting measure were then examined in the validation sample (N = 757). Results from confirmatory circumplex structural analyses indicated that the CSIP fit well to a quasi-circumplex model. The CSIP converged with the IIP-C and the Revised Interpersonal Adjective Scales (Wiggins, 1995), and associated in theoretically expected ways with broader assessments of adaptive- and maladaptive-range personality traits and symptoms of psychological distress. The CSIP augments the IIP-C with additional content, thereby helping to extend the underlying constructs, and provides an alternative means for studying the interpersonal consequences of personality and psychopathology. (PsycINFO Database Record

Toward a comprehensive taxonomy of human motives

A major success in personality has been the development of a consensual structure of traits. However, much less progress has been made on the structure of an equally important aspect of human psychology: motives. We present an empirically and theoretically structured hierarchical taxonomy of 161 motives gleaned from a literature review from McDougall to the present and based on the cluster analysis of similarity judgments among these 161 motives, a broader sampling of motives than previous work. At the broadest level were: Meaning, Communion, and Agency. These divided into nine clusters: Morality & Virtue, Religion & Spirituality, Self-Actualization, Avoidance, Social Relating, Family, Health, Mastery & Competence, and Financial & Occupational Success. Each divided into more concrete clusters to form 5 levels. We discuss contributions to research on motives, especially recent work on goal systems, and the aiding of communication and systematization of research. Finally, we compare the taxonomy to other motive organizations.

Ten aspects of the Big Five in the Personality Inventory for DSM-5

Diagnostic and Statistical Manual of Mental Disorders (5th ed.; DSM-5) includes a dimensional model of personality pathology, operationalized in the Personality Inventory for DSM-5 (PID-5), with 25 facets grouped into 5 higher order factors resembling the Big Five personality dimensions. The present study tested how well these 25 facets could be integrated with the 10-factor structure of traits within the Big Five that is operationalized by the Big Five Aspect Scales (BFAS). In 2 healthy adult samples, 10-factor solutions largely confirmed our hypothesis that each of the 10 BFAS would be the highest loading BFAS on 1 and only 1 factor. Varying numbers of PID-5 scales were additional markers of each factor, and the overall factor structure in the first sample was well replicated in the second. Our results allow Cybernetic Big Five Theory (CB5T) to be brought to bear on manifestations of personality disorder, because CB5T offers mechanistic explanations of the 10 factors measured by the BFAS. Future research, therefore, may begin to test hypotheses derived from CB5T regarding the mechanisms that are dysfunctional in specific personality disorders.

Further tests of belief-importance theory

Belief-importance (belimp) theory hypothesizes that personality traits confer a propensity to perceive convergences or divergences between the belief that we can attain certain goals and the importance that we place on these goals. Belief and importance are conceptualized as two coordinates, together defining the belimp plane. We tested fundamental aspects of the theory using four different planes based on the life domains of appearance, family, financial security, and friendship as well as a global plane combining these four domains. The criteria were from the areas of personality (Big Five and trait emotional intelligence) and learning styles. Two hundred and fifty eight participants were allocated into the four quadrants of the belimp plane (Hubris, Motivation, Depression, and Apathy) according to their scores on four reliable instruments. Most hypotheses were supported by the data. Results are discussed with reference to the stability of the belimp classifications under different life domains and the relationship of the quadrants with the personality traits that are hypothesized to underpin them.

Environmental factors associated with success rates of Australian stock herding dogs

This study investigated the current management practices associated with stock herding dogs on Australian farms. A parallel goal was to determine whether these practices and the characteristics of the dog handlers were associated with success rates. Success rate refers to the proportion of dogs acquired by the farmer that were retained as working dogs. Data on a total of 4,027 dogs were obtained through The Farm Dog Survey which gathered information from 812 herding dog owners around Australia. Using logistic regression, significant associations were identified between success rate and seven variables: dog breed, housing method, trial participation, age of the dog at acquisition, electric collar use, hypothetical maximum treatment expenditure and the conscientiousness score of the owner's personality. These findings serve as a guide to direct further research into ways of optimising herding dog performance and welfare. They emphasise the importance of not only examining the genetic predispositions of the working dog but also the impact the handler can have on a dog's success in the workplace.

The Turkish Adaptation of the Ten-Item Personality Inventory

INTRODUCTION

Personality is one of the important domains of psychology, and it is an integration of emotional, cognitive, social and physical properties. In this study, we aimed to assess the applicability of the "Ten-Item Personality Inventory (TIPI)" which measures five basic personality traits in Turkish young people.

METHOD

Data from a total of 420 participants - 208 male (49.1%) and 212 female (50.9%) - were employed for the validity and reliability analyses. Of the participants, 230 (54,8%; mean age: 23.2 years; sd=1.6) were university students and the rest were not (n=190; 45.2%; mean age: 23.4 years; df=1.7). The mean age of the participants was 22.1 years (df=1.3), ranging from 18 to 25 years.

RESULTS

Language validity (correlations between 0.92 and 0.97), exploratory factor analysis yielded 10 items and five-factor model explaining 65.21% of the variance. Confirmatory factor analyses (χ²/df: 2.20, GFI=0.95, AGFI=0.92, CFI=0.93, NNFI=0.91, RMR=0.04, and RMSEA=0.03), item analysis, and convergent validity results indicated that a five-factor solution with 10 items met the criteria standards for adequacy of fit among Turkish young people. The internal consistency (Openness to Experiences 0.83, Agreeableness 0.81, Emotional Stability 0.83, Conscientiousness 0.84, and Extraversion 0.86) and test-retest stability (=54; Openness to Experiences 0.89, Agreeableness 0.87, Emotional Stability 0.89, Conscientiousness 0.87, and Extraversion 0.88) revealed a moderate to acceptable reliabilities.

CONCLUSION

The results demonstrated that the TIPI could be used in studies that evaluate personality in Turkish young people.

The General Factor of Personality: A General Critique

Recently, it has been proposed that all non-cognitive measures of personality share a general factor of personality. A problem with many of these studies is a lack of clarity in defining a general factor. In this paper we address the multiple ways in which a general factor has been identified and argue that many of these approaches find factors that are not in fact general. Through the use of artificial examples, we show that a general factor is not: The first factor or component of a correlation or covariance matrix.The first factor resulting from a bifactor rotation or biquartimin transformationNecessarily the result of a confirmatory factor analysis forcing a bifactor solution We consider how the definition of what constitutes a general factor can lead to confusion, and we will demonstrate alternative ways of estimating the general factor saturation that are more appropriate.

Social desirability in personality inventories: symptoms, diagnosis and prescribed cure

An analysis of social desirability in personality assessment is presented. Starting with the symptoms, Study 1 showed that mean ratings of graded personality items are moderately to strongly linearly related to social desirability (Self Deception, Impression formation, and the first Principal Component), suggesting that item popularity may be a useful heuristic tool for identifying items which elicit socially desirable responding. We diagnose the cause of socially desirable responding as an interaction between the evaluative content of the item and enhancement motivation in the rater. Study 2 introduced a possible cure; evaluative neutralization of items. To test the feasibility of the method lay psychometricians (undergraduates) reformulated existing personality test items according to written instructions. The new items were indeed lower in social desirability while essentially retaining the five factor structure and reliability of the inventory. We conclude that although neutralization is no miracle cure, it is simple and has beneficial effects.

The dynamic role of personality states in mediating the relationship between extraversion and positive affect

One of the most noteworthy and robust findings in personality psychology is the relationship between extraversion and positive affect. Existing theories have debated the origins and nature of this relationship, offering both structural/fixed and environmental/dynamic explanations. We tested the novel and straightforward dynamic hypothesis that part of the reason trait extraversion predicts trait positive affect is through an increased propensity to enact extraverted states, which in turn leads to experiencing more positive affect states. We report 5 experience sampling studies (and a meta-analysis of primary studies) conducted in natural environments and laboratory settings in which undergraduate participants (N = 241) provided ratings of trait extraversion, trait positive affect, extraversion states, and positive affect states. Results of primary studies and the meta-analysis showed that relationships between trait extraversion and trait positive affect were partially mediated by aggregated extraversion states and aggregated positive affect states. The results supported our dynamic hypothesis and suggested that dynamic explanations of the relationship between trait extraversion and trait positive affect are compatible with structural explanations. An important implication of these findings is that individuals might be able to increase their happiness by self-regulating their extraverted states.

Broad bandwidth or high fidelity? Evidence from the structure of genetic and environmental effects on the facets of the five factor model

The Five Factor Model of personality is well-established at the phenotypic level, but much less is known about the coherence of the genetic and environmental influences within each personality domain. Univariate behavioral genetic analyses have consistently found the influence of additive genes and nonshared environment on multiple personality facets, but the extent to which genetic and environmental influences on specific facets reflect more general influences on higher order factors is less clear. We applied a multivariate quantitative-genetic approach to scores on the CPI-Big Five facets for 490 monozygotic and 317 dizygotic twins who took part in the National Merit Twin Study. Our results revealed a complex genetic structure for facets composing all five factors, with both domain-general and facet-specific genetic and environmental influences. For three of the Big Five domains, models that required common genetic and environmental influences on each facet to occur by way of effects on a higher order trait did not fit as well as models allowing for common genetic and environmental effects to act directly on the facets. These results add to the growing body of literature indicating that important variation in personality occurs at the facet level which may be overshadowed by aggregating to the trait level. Research at the facet level, rather than the factor level, is likely to have pragmatic advantages in future research on the genetics of personality.

Concurrent and prospective relationships between social engagement and personality traits in older adulthood

The current research examined the longitudinal relationship between social engagement and personality traits in older adults. Specifically, the present research examined how engagement in family and community roles related to conscientiousness, agreeableness, and emotional stability in a sample of 100 Illinois residents age 60-86 years assessed twice over a period of 2.5 years. Social engagement and personality traits were related in three ways. First, concurrent relationships during Wave 1 suggested that agreeable older adults are more socially engaged. Next, Wave 1 standing on both personality traits and social engagement predicted respective change over time. In addition, changes in engagement and personality traits covaried over time. The specific patterns presented in this study suggest that although some relationships were consistent with research findings in young adulthood and midlife, role investment in old age may have a distinctly different meaning than role investment earlier in the life span. These patterns suggest that personality traits can both inform our understanding of engagement during older adulthood and that personality traits may be meaningful outcomes of the aging experience in their own right.

Item Selection, Evaluation, and Simple Structure in Personality Data

We report an investigation of the genesis and interpretation of simple structure in personality data using two very different self-reported data sets. The first consists of a set of relatively unselected lexical descriptors, whereas the second is based on responses to a carefully constructed instrument. In both data sets, we explore the degree of simple structure by comparing factor solutions to solutions from simulated data constructed to have either strong or weak simple structure. The analysis demonstrates that there is little evidence of simple structure in the unselected items, and a moderate degree among the selected items. In both instruments, however, much of the simple structure that could be observed originated in a strong dimension of positive vs. negative evaluation.

Exploring Issues of Personality Measurement and Structure Through the Development of a Short Form of the Eysenck Personality Profiler

In this article, we develop a revised short form of the original Eysenck Personality Profiler (EPP; H. J. Eysenck & Wilson, 1991). In addition, we address topics of broad theoretical importance such as the recurrent empirical finding of correlations between conceptually orthogonal personality dimensions and the possibility that gender differences in these dimensions are partly spurious. In Study 1 (N = 227), we demonstrate that the existing short form of the EPP (EPP-SF; H. J. Eysenck, Wilson, & Jackson, 1996) provides a poor fit to the data and we develop a revised well-fitting version. In Study 2, we retest this version on an independent new sample (N = 3,374) where it is again found to fit the data well. We show that most of the structural and measurement parameters of the revised EPP-SF are invariant across genders. Structured means analysis indicated a significant gender difference in Psychoticism, with men scoring higher than women, but no differences in Extraversion or Neuroticism. Our discussion focuses on issues concerning personality measurement and structure, including an examination of the role of confirmatory factor analysis in personality research.

Convergence of internal and external structure for the California Child Q-set

The language of personality traits includes single-word trait descriptors, and longer phrases or sentences. Evidence has accumulated that abstract, semantic relationships among single words have the same underlying structure as the empirical relationships when words are applied to individuals. The present study examines whether these two kinds of structure are also isomorphic for longer trait descriptors. Empirical descriptions and judgements of semantic similarity were collected among the descriptors comprising the California Child Q-set, or CCQ, and analysed with multidimensional scaling. Canonical correlation showed the solutions to be closely related to one another, and to independent sets of ratings available for the CCQ items. Informants' similarity judgements were not affected by the context in which they were made. The dominant dimensions of the solutions reproduce dimensions found previously for the single-word personality lexicon, indicating the two trait-descriptive languages to be closely parallel.

Higher order factors of personality: do they exist?

Scales that measure the Big Five personality factors are often substantially intercorrelated. These correlations are sometimes interpreted as implying the existence of two higher order factors of personality. The authors show that correlations between measures of broad personality factors do not necessarily imply the existence of higher order factors and might instead be due to variables that represent same-signed blends of orthogonal factors. Therefore, the hypotheses of higher order factors and blended variables can only be tested with data on lower level personality variables that define the personality factors. The authors compared the higher order factor model and the blended variable model in three participant samples using the Big Five Aspect Scales, and found better fit for the latter model. In other analyses using the HEXACO Personality Inventory, they identified mutually uncorrelated markers of six personality factors. The authors conclude that correlations between personality factor scales can be explained without postulating any higher order dimensions of personality.

Not all conscientiousness scales change alike: a multimethod, multisample study of age differences in the facets of conscientiousness

Previous research has shown that traits from the domain of conscientiousness tend to increase with age. However, previous research has not tested whether all aspects of conscientiousness change with age. The present research tests age differences in multiple facets of conscientiousness (industriousness, orderliness, impulse control, reliability, and conventionality) using multiple methods and multiple samples. In a community sample (N = 274) and a representative statewide sample (N = 613) of 18- to 94-year-olds, self-reported industriousness, impulse control, and reliability showed age differences from early adulthood to middle age, whereas orderliness did not. The transition into late adulthood was characterized by increases in impulse control, reliability, and conventionality. In contrast, age differences in observer-rated personality occurred mainly in older adulthood. Age differences held across both ethnicity and levels of socioeconomic status.

Conceptualizing and assessing self-enhancement bias: a componential approach

Four studies implemented a componential approach to assessing self-enhancement and contrasted this approach with 2 earlier ones: social comparison (comparing self-ratings with ratings of others) and self-insight (comparing self-ratings with ratings by others). In Study 1, the authors varied the traits being rated to identify conditions that lead to more or less similarity between approaches. In Study 2, the authors examined the effects of acquaintance on the conditions identified in Study 1. In Study 3, the authors showed that using rankings renders the self-insight approach equivalent to the component-based approach but also has limitations in assessing self-enhancement. In Study 4, the authors compared the social-comparison and the component-based approaches in terms of their psychological implications; the relation between self-enhancement and adjustment depended on the self-enhancement approach used, and the positive-adjustment correlates of the social-comparison approach disappeared when the confounding influence of the target effect was controlled.

Cross-sectional and longitudinal tests of the Personality and Role Identity Structural Model (PRISM)

A conceptual hierarchy termed the Personality and Role Identity Structural Model, or PRISM, is offered as a framework for incorporating situational information into trait models. PRISM assumes that personality is structured hierarchically with general dispositions subsuming context-specific dispositions (role identities), which, in turn, subsume role-based thoughts, feelings, and behaviors. At Wave 1 (N = 149), we found that general traits account for commonalities across traits measured within role identities and that role identities mediate the relationship between general traits and role criteria. In a longitudinal follow-up of a subsample of the original participants (Wave 2; N = 62), we found that general traits and role-identity traits were more stable than role experiences over time. Also, changes in role experiences were related to changes in role-identity traits, and, in turn, changes in role-identity traits were related to changes in general traits. The potential of PRISM for use in understanding the development of personality traits is discussed.

Bridging the Idiographic-Nomothetic Divide: A Follow-Up Study

In a replication and extension of Grice (2004), participants in the current study rated themselves and other known individuals on scales constructed from their own personal constructs and on marker items for the Big Five model personality traits. Confirmatory components analyses revealed excellent fit for the Big Five Model when applied to aggregate trait ratings but highly variable fit when applied to participants' individual ratings. Comparisons of the personal construct and trait ratings indicated an approximate average overlap of only 51%, and additional analyses revealed several factors that contributed to the uniqueness of the personal constructs. These findings were discussed in the context of the idiographic-nomothetic distinction drawn in personality psychology.

Assessment of the five-factor model of personality

The five-factor model (FFM) of personality is obtaining construct validation, recognition, and practical consideration across a broad domain of fields, including clinical psychology, industrial-organizational psychology, and health psychology. As a result, an array of instruments have been developed and existing instruments are being modified to assess the FFM. In this article, we present an overview and critique of five such instruments (the Goldberg Big Five Markers, the revised NEO Personality Inventory, the Interpersonal Adjective Scales-Big Five, the Personality Psychopathology-Five, and the Hogan Personality Inventory), focusing in particular on their representation of the lexical FFM and their practical application.

Adolescent personality factors in self-ratings and peer nominations and their prediction of peer acceptance and peer rejection

In this study, the robustness of the Big Five personality factors in adolescents' self-ratings and peer nominations was investigated. Data were obtained on 2,001 adolescents attending secondary school (885 girls; 1,116 boys; M age = 14.5 years). Exploratory and confirmatory factor analyses on the self-ratings confirmed the Big Five personality factors. In contrast, exploratory analysis on the peer nominations revealed five different factors: Aggression-Inattentiveness, Achievement-Withdrawal, Self-Confidence, Sociability, and Emotionality-Nervousness. It is suggested that peers evaluate group members not in terms of their personality but in terms of their group reputation. Peer evaluations contributed substantially to the prediction of peer acceptance and rejection; the Big Five personality factors based on self-ratings did not.

The Big-Five factor structure as an integrative framework: an analysis of Clarke's AVA model

Using a large (N = 3,629) sample of participants selected to be representative of U.S. working adults in the year 2,000, we provide links between the constructs in 2 personality models that have been derived from quite different rationales. We demonstrate the use of a novel procedure for providing orthogonal Big-Five factor scores and use those scores to analyze the scales of the Activity Vector Analysis (AVA). We discuss the implications of our many findings both for the science of personality assessment and for future research using the AVA model.