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Despite numerous meta-analyses, the true extent to which life satisfaction reflects personality traits has remained unclear due to overreliance on a single method to assess both and insufficient attention to construct overlaps. Using data from three samples tested in different languages (Estonian, N = 20,886; Russian, N = 768; English, N = 600), we combined self- and informant-reports to estimate personality domains' and nuances' true correlations (rtrue) with general life satisfaction (LS) and satisfactions with eight life domains (DSs), while controlling for single-method and occasion-specific biases and random error, and avoiding direct construct overlaps. The associations replicated well across samples. The Big Five domains and nuances allowed predicting LS with accuracies up to rtrue ≈.80–.90 in independent (sub)samples. Emotional stability, extraversion, and conscientiousness correlated rtrue ≈.30–.50 with LS, while its correlations with openness and agreeableness were small. At the nuances level, low LS was most strongly associated with feeling misunderstood, unexcited, indecisive, envious, bored, used, unable, and unrewarded (rtrue ≈.40–.70). Supporting LS's construct validity, DSs had similar personality correlates among themselves and with LS, and an aggregated DS correlated rtrue ≈.90 with LS. LS's approximately 10-year stability was rtrue =.70 and its longitudinal associations with personality traits mirrored cross-sectional ones. We conclude that without common measurement limitations, most people's life satisfaction is highly consistent with their personality traits, even across many years. So, satisfaction is usually shaped by these same relatively stable factors that shape personality traits more broadly. [ABSTRACT FROM AUTHOR]

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. [ABSTRACT FROM AUTHOR]

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 (rtt) are lacking. We report the 12-day rtt-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 rtt-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 rtt-s of.69 and.71, respectively. We emphasize the importance of the rtt for scale development and validation. [ABSTRACT FROM AUTHOR]

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. [ABSTRACT FROM AUTHOR]

Trisecting and cross-tabulating (TACT) two related variables shows what their correlation means for individual people. For example, knowing an individual's conscientiousness (lowest, medium or highest third among other people) improves the accuracy of predicting their health by 1.4, their child's conscientiousness by 4.2, and their job performance by 7.2 percentage points, compared to the random-guess accuracy of 33.3%. There's a 35% probability that they will score differently in a few years and a 50% probability that their partner would rate their conscientiousness differently. For typical correlations in psychology, about 40% of individuals with a low or high value in one variable have a similar value in the other variable, while medium values carry almost no predictive information. Hence, correlations' intuitive interpretations like "someone high in x is likely to be high in y" are almost always incorrect. An R package is provided for calculating and visualising TACT. [ABSTRACT FROM AUTHOR]

We examined the extent to which the Big Five domains, 30 facets, and nuances (uniquely represented by individual questionnaire items) capture age differences in personality, expecting domains to contain the least and nuances the most age-related information. We used an Internet sample (N = 24,000), evenly distributed between ages of 18 and 50 years and tested with a 300-item questionnaire. Separately based on domains, facets, and items, we trained models to predict age in one part of the sample and tested their predictive accuracy in another part. Big Five domains predicted age with an accuracy of r =.28, whereas facets' (r =.44) and items' (r =.65) predictions were more accurate. Less than 15% of the sample was needed to train models to their optimal accuracy. Residualizing the 300 items for all facets had no impact on their predictive accuracy, suggesting that age differences in specific behaviors, thoughts, and feelings (i.e., items) were not because of domains and facets but mostly unique to nuances. These findings replicated in a multisample dataset tested with another questionnaire. We found little evidence that age differences only appeared nuanced because items referred to age-graded roles or experiences. Therefore, a substantial part of personality development may be uniquely ascribed to narrow personality characteristics, suggesting the possibility for a many-dimensional representation of personality development. Besides theoretical implications, we provide concrete illustrations of how this can open new research avenues by enabling to study systematic variations between traits. [ABSTRACT FROM AUTHOR]

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. [ABSTRACT FROM AUTHOR]

To understand what was driving individual differences in voting intentions in a large German sample, we investigated the predictability of voting intentions from the Big Five personality domains, facets, and nuances, thereby tackling shortcomings of previous studies. Using random forest analyses in a dataset of N = 4,286 individuals (46.01% men), separate models were trained to predict intentions to 1) not vote versus to vote, 2) vote for a specific party, and 3) vote for a leftversus right-from-the-center party from either the Big Five personality domains, facets, or nuances (represented by individual items). Except for intentions to not vote versus to vote, balanced accuracies to predict voting intentions marginally exceeded those achieved by a baseline learner always predicting the majority class. Using nuances over facets and domains slightly increased balanced accuracies. Results indicate that additional variables should be considered to accurately predict voting intentions, at least in German samples. [ABSTRACT FROM AUTHOR]

We argue that it is useful to distinguish between three key goals of personality science—description, prediction and explanation—and that attaining them often requires different priorities and methodological approaches. We put forward specific recommendations such as publishing findings with minimum a priori aggregation and exploring the limits of predictive models without being constrained by parsimony and intuitiveness but instead maximizing out‐of‐sample predictive accuracy. We argue that naturally occurring variance in many decontextualized and multidetermined constructs that interest personality scientists may not have individual causes, at least as this term is generally understood and in ways that are human‐interpretable, never mind intervenable. If so, useful explanations are narratives that summarize many pieces of descriptive findings rather than models that target individual cause–effect associations. By meticulously studying specific and contextualized behaviours, thoughts, feelings and goals, however, individual causes of variance may ultimately be identifiable, although such causal explanations will likely be far more complex, phenomenon‐specific and person‐specific than anticipated thus far. Progress in all three areas—description, prediction and explanation—requires higher dimensional models than the currently dominant 'Big Few' and supplementing subjective trait‐ratings with alternative sources of information such as informant‐reports and behavioural measurements. Developing a new generation of psychometric tools thus provides many immediate research opportunities. © 2020 European Association of Personality Psychology [ABSTRACT FROM AUTHOR]

We investigated the distinction between traits (also labelled basic tendencies or dispositions) and (characteristic) adaptations, two related features of the personality system postulated to influence how personality manifests throughout the lifespan. Traits are alleged to be universal, causal, and enduring entities that exist across cultures and through evolutionary time, whereas learned adaptations are acquired through sustained interaction with cultural, physical, and social environments. Although this distinction is central to several personality theories, they provide few measurable criteria to distinguish between traits and adaptations. Moreover, little research has endeavoured to operationalize it, let alone test it empirically. Drawing on insights from four frameworks—the Five‐Factor Theory, Cybernetic Big Five Theory, Disposition–Adaptation–Environment Model, and New Big Five—we attempted to investigate the distinction both theoretically and empirically. Using various experimental rating conditions, we first scored 240 questionnaire items in their degrees of definitionally reflecting traits and/or adaptations. Next, we correlated these definitional ratings with the items' estimates of rank‐order stability, consensual validity, and heritability—criteria often associated with personality traits. We found some evidence that items rated as more trait‐like and less adaptation‐like correspond to higher cross‐rater agreement and stability but not heritability. These associations survived controlling for items' retest reliability, social desirability, and variance. The theoretical and empirical implications of these findings are discussed. © 2020 European Association of Personality Psychology [ABSTRACT FROM AUTHOR]

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. • Personality nuances were related to the risk of incident dementia in two samples. • Higher scores on the items nervous and worry were linked to a higher dementia risk. • Higher responsibility and organization were linked to a lower dementia risk. • Higher scores on the item active were related to a lower dementia risk. • A poly-item score was predictive of dementia risk. [ABSTRACT FROM AUTHOR]

Background: There is evidence that the personality traits conscientiousness, extraversion and neuroticism are associated with health behaviours and with risk of various health outcomes. We hypothesised that people who are lower in conscientiousness or extraversion or higher in neuroticism may be at greater risk of frailty in later life.Methods: We used general linear models to examine the prospective relation between personality, assessed using the Midlife Development Inventory, and change in frailty, modelled by a frailty index, in 5314 men and women aged 60 to over 90 years from the English Longitudinal Study of Ageing.Results: Men and women with higher levels of neuroticism or lower levels of extraversion or conscientiousness had an increased frailty index score at follow-up. After adjustment for potential confounding or mediating variables, including frailty index score at baseline, the frailty index score at follow-up-which potentially ranges from 0 to 1-was higher by 0.035 (95 % confidence interval 0.018, 0.052) for a standard deviation increase in neuroticism and lower by 0.061 (0.031, 0.091) or 0.045 (0.020, 0.071) for a standard deviation increase in extraversion or conscientiousness, respectively. There was some evidence that the association between extraversion and frailty may be due to reverse causation whereby poorer health affected responses to items in the personality inventory.Conclusions: Higher levels of neuroticism or lower levels of conscientiousness or extraversion may be risk factors for the onset or progression of frailty. Future studies need to replicate these observations in other populations and explore the mechanisms underlying these associations. [ABSTRACT FROM AUTHOR]

Associations between markers of ostensible psychological characteristics and social and health inequalities are pervasive but difficult to explain. In some cases, there may be causal influence flowing from social and health inequalities to psychological differences, whereas sometimes it may be the other way around. Here, we focus on the possibility that some markers that we often consider as indexing different domains of individual differences may in fact reflect at least partially overlapping genetic and/or phenotypic bases. For example, individual differences in cognitive abilities and educational attainment appear to reflect largely overlapping genetic influences, whereas cognitive abilities and health literacy may be almost identical phenomena at the phenotypic, never mind genetic, level. We make the case for employing molecular genetic data and quantitative genetic techniques to better understand the associations of psychological individual differences with social and health inequalities. We illustrate these arguments by using published findings from the Lothian Birth Cohort and the Generation Scotland studies. We also present novel findings pertaining to longitudinal stability and change in older age personality traits and some correlates of the change, molecular genetic data-based heritability estimates of Neuroticism and Extraversion, and the genetic correlations of these personality traits with markers of social and health inequalities. [ABSTRACT FROM AUTHOR]

Mõttus and colleagues (2017) reported evidence that the unique variance in specific personality characteristics captured by single descriptive items often displayed trait-like properties of cross-rater agreement, rank-order stability, and heritability. They suggested that the personality hierarchy should be extended below facets to incorporate these specific characteristics, called personality nuances. The present study attempted to replicate these findings, employing data from 6,287 individuals from 6 countries (Australia, Canada, Czech Republic, Denmark, Japan, and United States). The same personality measure—240-item Revised NEO Personality Inventory—and statistical procedures were used. The present findings closely replicated the original results. When the original and current results were meta-analyzed, the unique variance of nearly all items (i.e., items' scores residualized for all broader personality traits) showed statistically significant cross-rater agreement (median =.12) and rank-order stability over an average of 12 years (median =.24), and the unique variance of the majority of items had a significant heritable component (median =.14). These 3 item properties were intercorrelated, suggesting that items systematically differed in the degree of reflecting valid unique variance. Also, associations of items' unique variance with age, gender, and body mass index (BMI) replicated across samples and tracked with the original findings. Moreover, associations between item residuals and BMI obtained from one group of people allowed for a significant incremental prediction of BMI in an independent sample. Overall, these findings reinforce the hypotheses that nuances constitute the building blocks of the personality trait hierarchy, their properties are robust and they can be useful. [ABSTRACT FROM AUTHOR]

Recent work in personality development has indicated that the magnitude of individual differences in personality increases over child development. Do such patterns reflect the differentiation of individuals by genotype, an increasing influence of environmental factors, or some (interactive) combination of the two? Using a population-based sample of over 2,500 twins and multiples from the Texas Twin Project, we estimated age trends in the variances in self- and parent-reported measures of the Big Five personality traits between Ages 8 and 18 years. We then estimated age trends in the genetic and environmental components of variance in each measure. Individual differences in personality increased in magnitude from childhood through mid-adolescence. This pattern emerged using both children’s self-reports and ratings provided by their parents, and was primarily attributable to increases in the magnitude of genetic influences. Most of the increasing genetic variance appeared nonadditive, pointing to the possibility that developmental processes tend to make genetically similar individuals disproportionately more alike in their personality traits over time. These findings could reflect increasing or accumulating effects of trait-by-trait interactions; person-by-environment transactions, whereby genetically similar people are disproportionally likely to experience similar environments; the activation of dominant genes across developmental transitions (e.g., puberty); or some combination of these three processes, among other factors. Theories of personality development will need to accommodate these descriptive findings, and longitudinal, genetically informed designs are needed to test some of the specific hypotheses springing from this study. [ABSTRACT FROM AUTHOR]

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. [ABSTRACT FROM AUTHOR]

Objective: We tested predictions about the structure and magnitude of method biases in single-source personality trait assessments. We expected a large number of distinct biases that would parallel the observed structure of traits, at both facet and item levels.Method: We analyzed multimethod ratings on the Estonian NEO Personality Inventory-3 in a sample of 3,214 adults. By subtracting informant ratings from self-reports, we eliminated true score variance and analyzed the size and structure of the residual method biases. We replicated analyses using data (N = 709) from the Czech Revised NEO Personality Inventory.Results: The magnitude of method biases was consistent with predictions by McCrae (2018, Psychological Assessment). Factor analyses at the facet level showed a clear replication of the normative Five-Factor Model structure in both samples. Item factor analyses within domains showed that facet-level method biases mimicked the facet structure of the instrument.Conclusions: Method biases apparently reflect implicit personality theory (IPT)-beliefs about how traits and trait indicators covary. We discuss the (collective) accuracy and possible origins of IPT. Because method biases limit the accuracy of single-source assessments, we recommend assessments that combine information from two or more informants. [ABSTRACT FROM AUTHOR]

The purpose of this study was to explore how individual and environmental predictors of intergenerational social mobility intersect in rarely studied post‐communist developing society of Estonia. We used a contemporary cross‐sectional dataset (n = 759) to assess the influence of cognitive ability and parental socioeconomic status to the participants' educational and occupational attainment. Our results indicated that cognitive ability and one's own educational level mediated the association of parental socioeconomic status with one's own occupational success. Analysis of separate components of cognitive ability indicated that verbal ability had the highest influence on occupational status. We concluded that both individual‐level and environmental factors have a predictive effect on educational and occupational attainment. [ABSTRACT FROM AUTHOR]

Abstract: Personality–outcome associations, typically represented using the Big Five personality domains, are ubiquitous, but often weak and possibly driven by the constituents of these domains. We hypothesized that representing the associations using personality questionnaire items (as markers for personality nuances) could increase prediction strength. Using the National Child Development Study (N = 8719), we predicted 40 diverse outcomes from both the Big Five domains and their 50 items. Models were trained (using penalized regression) and applied for prediction in independent sample partitions (with 100 permutations). Item models tended to out‐predict Big Five models (explaining on average 30% more variance), regardless of outcomes' independently rated breadth versus behavioural specificity. Moreover, the predictive power of Big Five domains per se was at least partly inflated by the unique variance of their constituent items, especially for generally more predictable outcomes. Removing the Big Five variance from items marginally reduced their predictive power. These findings are consistent with the possibility that the associations of personality with outcomes often pertain to (potentially large numbers of) specific behavioural, cognitive, affective, and motivational characteristics represented by single questionnaire items rather than to the broader (underlying) traits that these items are ostensibly indicators of. This may also have implications for personality‐based interventions. Copyright © 2018 European Association of Personality Psychology [ABSTRACT FROM AUTHOR]

Abstract: We compared different methodological approaches in research on the accuracy of national stereotypes that use aggregated mean scores of real people's personality traits as criteria for stereotype accuracy. Our sample comprised 16,713 participants from the Central Europe and 1,090 participants from the Baltic Sea region. Participants rated national stereotypes of their own country using the National Character Survey (NCS) and their personality traits using either the Revised NEO Personality Inventory or the NCS. We examined the effects of different (i) methods for rating of real people (Revised NEO Personality Inventory vs. NCS) and national stereotypes (NCS); (ii) norms for converting raw scores into T‐scores (Russian vs. international norms); and (iii) correlation techniques (intraclass correlations vs. Pearson correlations vs. rank‐order correlations) on the resulting agreement between the ratings of national stereotypes and real people. We showed that the accuracy of national stereotypes depended on the employed methodology. The accuracy was the highest when ratings of real people and national stereotypes were made using the same method and when rank order correlations were used to estimate the agreement between national stereotypes and personality profiles of real people. We propose a new statistical procedure for determining national stereotype accuracy that overcomes limitations of past studies. We provide methodological recommendations applicable to a wider range of cross national stereotype accuracy studies. Copyright © 2018 European Association of Personality Psychology [ABSTRACT FROM AUTHOR]

Personality traits consistently relate to and allow predicting body mass index (BMI), but these associations may not be adequately captured with existing inventories' domains or facets. Here, we aimed to test the limits of how accurately BMI can be predicted from and described with personality traits. We used three large datasets (combined N ≈ 100,000) with nearly 700 personality assessment items to (a) empirically identify clusters of personality traits linked to BMI and (b) identify relatively small sets of items that predict BMI as accurately as possible. Factor analysis revealed 14 trait clusters showing well-established personality trait–BMI associations (disorganization, anger) and lesser-known or novel ones (altruism, obedience). Most of items' predictive accuracy (up to r =.24 here but plausibly much higher) was captured by relatively few items. Brief scales that predict BMI have potential clinical applications—for instance, screening for risk of excessive weight gain or related complications. [ABSTRACT FROM AUTHOR]

Heritable variance in psychological traits may reflect genetic and biological processes that are not necessarily specific to these particular traits but pertain to a broader range of phenotypes. We tested the possibility that the personality domains of the five-factor model and their 30 facets, as rated by people themselves and their knowledgeable informants, reflect polygenic influences that have been previously associated with educational attainment. In a sample of more than 3,000 adult Estonians, education polygenic scores (EPSs), which are interpretable as estimates of moleculargenetic propensity for education, were correlated with various personality traits, particularly from the neuroticism and openness domains. The correlations of personality traits with phenotypic educational attainment closely mirrored their correlations with EPS. Moreover, EPS predicted an aggregate personality trait tailored to capture the maximum amount of variance in educational attainment almost as strongly as it predicted the attainment itself. We discuss possible interpretations and implications of these findings. [ABSTRACT FROM AUTHOR]

Using two independent samples, the study investigated links of within- and between-individual variability in personality states in three personality domains—Neuroticism, Extraversion, and Conscientiousness—with physical activity. Activity was defined as self-reported quantity of exercising or walking/cycling. More physical activity was associated with people reporting higher levels of Extraversion and Conscientiousness than they usually did, with the associations clearly replicating across samples and generalizing to all items of these domains. This pattern tended to reflect associations at the level of between-individual differences. When the three domains simultaneously predicted activity, within-individual variance in Neuroticism also emerged as a positive predictor, whereas between-individual level associations waned. The findings are consistent with within-individual differences in personality ratings reflecting meaningful, context-relevant variability. [ABSTRACT FROM AUTHOR]

Do individual differences in personality traits become more or less pronounced over childhood and adolescence? The present research examined age differences in the variance of a range of personality traits, using parent reports of two large samples of children from predominantly the USA and Russia, respectively. Results indicate (i) that individual differences in most traits tend to increase with age from early childhood into early adolescence and then plateau, (ii) that this general pattern of greater personality variance at older childhood age is consistent across the two countries, and (iii) that this pattern is not an artefact of age differences in means or floor/ceiling effects. These findings are consistent with several (noncontradictory) developmental mechanisms, including youths' expanding behavioural capacities and person-environment transactions (corresponsive principle). However, these mechanisms may predominantly characterize periods before adolescence, or they may be offset by countervailing processes, such as socialization pressure towards a mature personality profile, in late adolescence and adulthood. Finally, the findings also suggest that interpreting age trajectories in mean trait scores as pertaining to age differences in a typical person may sometimes be misleading. Investigating variance should become an integral part of studying personality development. Copyright © 2017 European Association of Personality Psychology [ABSTRACT FROM AUTHOR]

Our aim with the present study was to evaluate rank-order and mean-level cognitive functioning stability among first-episode psychosis (FEP) patients, measured using the Cambridge Neuropsychological Test Automated Battery (CANTAB), over a six month period. We also aimed to examine longitudinal measurement invariance and identify factors-such as age, gender, educational level, treatment and psychopathological change scores-potentially linked to cognitive change among patients. In addition, correlations between objectively measured and subjectively evaluated cognitive functioning were estimated. Neuropsychological assessments were administered to 85 patients after the initial stabilisation of their psychosis; 82 of the patients were retested. Subjectively perceived cognitive functioning was measured using a subscale derived from the Estonian version of the Subjective Well-Being Under Neuroleptic Scale (SWN-K-E). On average, executive functioning and processing speed improved significantly, while memory test scores decreased significantly, over time. Very high rank-order stability (r=0.80 to 0.94, p<0.001) was observed with all measured ability scores. Confirmatory factor analysis revealed the loadings of a single (broad ability) factor model were equal across both measurement occasions, but the lack of intercept invariance suggested that mean-level comparisons are more appropriately carried out at a subtest level. On average psychopathology scores and antipsychotics doses declined over time, with the latter also significantly correlating with better executive functioning. Gender was a significant moderator of some domains of cognitive performance, and decline tended to be somewhat more pronounced for women. The results also indicated the lack of any relationship between objective and subjective measurements of cognitive functioning. [ABSTRACT FROM AUTHOR]

Much of personality research attempts to identify causal links between personality traits and various types of outcomes. I argue that causal interpretations require traits to be seen as existentially and holistically real and the associations to be independent of specific ways of operationalizing the traits. Among other things, this means that, to the extents that causality is to be ascribed to such holistic traits, items and facets of those traits should be similarly associated with specific outcomes, except for variability in the degrees to which they reflect the traits (i.e. factor loadings). I argue that, before drawing causal inferences about personality trait-outcome associations, the presence of this condition should be routinely tested by, for example, systematically comparing the outcome associations of individual items or facets, or sampling different indicators for measuring the same purported traits. Existing evidence suggests that observed associations between personality traits and outcomes at least sometimes depend on which particular items or facets have been included in trait operationalizations, calling trait-level causal interpretations into question. However, this has rarely been considered in the literature. I argue that when outcome associations are specific to facets, they should not be generalized to traits. Furthermore, when the associations are specific to particular items, they should not even be generalized to facets. Copyright © 2016 European Association of Personality Psychology [ABSTRACT FROM AUTHOR]

The aim of this paper is three-fold. First, we identified self- and informant-rated Five-Factor Model (FFM) personality domains and facets associated with diabetes diagnosis. Second, we tested whether the associations were independent of the rater method-specific variance. Lastly, we examined whether the observed associations were mediated by BMI, alcohol intake, dietary habits, and exercise. The participants were members of the Estonian Biobank ( N = 3592; 1145 men; M age = 46.6 ± 7.0 years). We fit a series of logistic regression models predicting diabetes diagnosis from one self- or informant-rated personality domain or facet at a time, controlling for age, sex, and education. Diabetes diagnosis was significantly associated with the N5: Impulsiveness, E4: Activity, and C2: Order facets. Method-independent variance, estimated by means of bi-factor models, was significantly related with diabetes for two of the facets, E4: Activity ( β = − 0.106, p = .007) and C2: Order ( β = − 0.089, p = .037), but not for N5: Impulsiveness. The strongest mediator of the personality–diabetes association was BMI, explaining 30–50% of the observed associations. We discuss implications of the current results. [ABSTRACT FROM AUTHOR]

In contrast to mean-level comparisons, age group differences in personality trait variance have received only passing research interest. This may seem surprising because individual differences in personality characteristics are exactly what most of personality psychology is about. Because different proposed mechanisms of personality development may entail either increases or decreases in variance over time, the current study is exploratory in nature. Age differences in variance were tested by comparing the standard deviations of the five-factor model domain and facet scales across two age groups (20 to 30 years old versus 50 to 60 years old). Samples from three cultures (Estonia, the Czech Republic and Russia) were employed, and two methods (self-reports and informant-reports) were used. The results showed modest convergence across samples and methods. Age group differences were significant for 11 of 150 facet-level comparisons but never consistently for the same facets. No significant age group differences were observed for the five-factor model domain variance. Therefore, there is little evidence for individual differences in personality characteristics being systematically smaller or larger in older as opposed to younger people. We discuss the implications of these findings for understanding personality development. Copyright © 2015 European Association of Personality Psychology [ABSTRACT FROM AUTHOR]

In personality research, trait-outcome associations are often studied by correlating scale sum scores with an outcome. For example, an association between the NEO Impulsiveness scale and body mass index (BMI) is often interpreted to pertain to underlying trait Impulsiveness. We propose that this expectation can be corroborated by testing for Spearman's theorem of indifference of indicator. Namely, an underlying trait-outcome association should not depend on the specific items (i.e. indicators) used to measure the trait. To test this theorem, we outline an indicator exclusion procedure and demonstrate its viability using a simulation design. We then apply this procedure to test personality-BMI associations for indifference of indicator in a large population-based sample of adult Estonians (N = 2581) using self-ratings and informant ratings obtained with the NEO Personality Inventory-3. Our results show that the N5: Impulsiveness-BMI association mostly depends on two eating-related items, suggesting that the trait associated with BMI may be narrower than the trait the N5: Impulsiveness scale is supposed to measure. Associations between BMI, E3: Assertiveness and C2: Order seem to pertain to the trait. In sum, testing for indifference of indicator provides a potentially useful method to clarify trait-outcome relationships. R scripts are provided that implement the indicator exclusion procedure. [ABSTRACT FROM AUTHOR]

Objective: To test whether personality traits moderate type 2 diabetes (T2D) genetic risk.Methods: Using a large community-dwelling sample (n=837, Mage=69.59±0.85years, 49% males) we fitted a series of linear regression models predicting glycated haemoglobin (HbA1c) from T2D polygenic risk - aggregation of small individual effects of a large number of single nucleotide polymorphisms (SNPs) - and five personality traits. We tested the main effects of personality traits and their interactions with T2D polygenic risk score, controlling for age and sex. The models in the final set were adjusted for cognitive ability, highest educational qualification, and occupational class.Results: Lower levels of openness were associated with heightened levels of HbA1c (β=-0.014, p=.032). There was a significant interaction between T2D polygenic risk score and agreeableness: lower agreeableness was related to a stronger association between T2D polygenic risk and HbA1c (β=-0.08, p=.021). In the model adjusted for cognitive ability, the main effect of openness was not significant (β=-0.08, p=.057). The interaction between agreeableness and T2D polygenic risk was still present after controlling for cognitive ability and socioeconomic status indicators, and the interaction between conscientiousness and polygenic risk score was also significant: lower conscientiousness was associated with a stronger association between T2D polygenic risk and HbA1c levels (β=0.09, p=.04).Conclusions: Personality may be associated with markers of diabetes, and may moderate the expression of its genetic risk. [ABSTRACT FROM AUTHOR]

The study investigated differences in the Five-Factor Model (FFM) domains and facets across adulthood. The main questions were whether personality scales reflected coherent units of trait development and thereby coherent personality traits more generally. These questions were addressed by testing if the components of the trait scales (items for facet scales and facets for domain scales) showed consistent age group differences. For this, measurement invariance (MI) framework was used. In a sample of 2,711 Estonians who had completed the NEO Personality Inventory 3 (NEO PI-3), more than half of the facet scales and one domain scale did not meet the criterion for weak MI (factor loading equality) across 12 age groups spanning ages from 18 to 91 years. Furthermore, none of the facet and domain scales met the criterion for strong MI (intercept equality), suggesting that items of the same facets and facets of the same domains varied in age group differences. When items were residualized for their respective facets, 46% of them had significant (p < 0.0002) residual age-correlations. When facets were residualized for their domain scores, a majority had significant (p < 0.002) residual age-correlations. For each domain, a series of latent factors were specified using random quarters of their items: scores of such latent factors varied notably (within domains) in correlations with age. We argue that manifestations of aetiologically coherent traits should show similar age group differences. Given this, the FFM domains and facets as embodied in the NEO PI-3 do not reflect aetiologically coherent traits. [ABSTRACT FROM AUTHOR]

To increase predictive accuracy at no extra cost, life outcomes including job performance can be predicted from individual questionnaire items in addition to or even instead of composite trait scores. Items can be conceived as markers of 'persome' (the universe of behavioural, affective, cognitive and motivational variance among people), like individual genetic variants track genomic variance. Ideally, comprehensive item pools are used to capture persomic variance, but items of existing questionnaires can also provide incremental predictive accuracy. Item-level associations may reveal that outcomes are highly poly-causal. [ABSTRACT FROM AUTHOR]

Using the NEO Personality Inventory-3, we analyzed self/informant agreement on personality traits at three levels that were made statistically independent from each other: domains, facets, and individual items. Cross-rater correlations for the common variance in the five domains ranged from 0.36 to 0.65 ( M = 0.49), whereas estimates for the specific variance of the 30 facets ranged from 0.40 to 0.73 ( M = 0.56). Cross-rater correlations of residual variance of individual items ranged from −0.14 to 0.49 ( M = 0.15; 88% statistically significant at p < 0.002). Agreement on common variance was moderately related to item observability and evaluativeness, whereas variance played a larger role. Facets and even single items detect nuances of personality variation that may merit substantive attention. [ABSTRACT FROM AUTHOR]

• Adiposity associated with various personality traits, notably openness to experience. • Basal metabolic rate, but not adiposity, associated with assertiveness. • The Assertiveness–metabolic rate link mirrors similar associations in other species. • Personality–adiposity associations depended on the index used to estimate adiposity. • Personality–obesity associations may be underestimated in studies relying on BMI. Various personality traits are known to correlate with body mass index (BMI). However, this index of adiposity conflates fat mass with lean body mass and may therefore lead to biased estimates of correlations. Yet, rarely have studies looked beyond BMI to understand how adiposity and other physiological characteristics relate to these psychological traits. Using previously validated formulas, we calculated an improved measure of adiposity (relative fat mass, RFM), as well as basal metabolic rate (BMR); explored their associations with various personality traits; and assessed how personality traits' associations with RFM differ from their associations with BMI. In a subsample of the Estonian Biobank (N = 3535), we compared how the five domains and 30 facets of NEO Personality Inventory-3 correlated with RFM, BMI, and BMR. Various traits, notably Openness to Experience and its facets, were associated with RFM above and beyond BMI; these traits may relate to lower adiposity through eating habits. Assertiveness, a facet of Extraversion, correlated more strongly with BMI than with RFM and also correlated with BMR. These correlations mirror associations of metabolic rate with conceptually similar traits in non-human animals and are consistent with Assertiveness being based on biological processes. Finally, BMI–personality trait correlations appeared to conflate personality traits' associations with fat mass and lean mass; the use of BMI as an indicator of adiposity can lead to both attenuated and inflated estimates of personality trait–adiposity associations. [ABSTRACT FROM AUTHOR]

Abstract: Objectives: There is a widespread consensus that diabetes impairs cognitive functioning. However, some recent findings have shown that many health conditions generally thought to be detrimental to cognitive functioning are in fact linked to pre-morbid cognitive ability, suggesting reverse causation. To better understand the causality in diabetes–cognition relationship, this study investigates the association of older-age diabetes with concurrent and childhood cognitive functioning. Methods: Lothian Birth Cohort 1936 participants (N=1017) completed the same general cognitive ability test at ages 11 and 70years. Scores were compared between those with and without diabetes at age 70. Diabetes status was based on self-reports and haemoglobin A1c levels. Results: People with diabetes had lower mean cognitive ability scores at ages 11 and 70 when compared with those without diabetes. The effect size was roughly similar at both ages (Cohen's d ≈0.32). When adjusted for age-11 cognitive ability, diabetes status was not associated with cognitive ability at age 70. The association between childhood cognitive ability and older-age diabetes was partly accounted for by body mass index and cholesterol level in older-age. Conclusion: In this sample, diabetes was associated with poorer cognitive ability in old age but this was because of life-long lower cognitive ability in people with diabetes instead of diabetes impairing cognitive functioning. [Copyright &y& Elsevier]

Background: The Subjective Well-Being Under Neuroleptic Treatment Scale short form (SWN-K) is a self-rating scale developed to measure mentally ill patients' well-being under the antipsychotic drug treatment. This paper reports on adaptation and psychometric properties of the instrument in an Estonian psychiatric sample. Methods: In a naturalistic study design, 124 inpatients or outpatients suffering from the first psychotic episode or chronic psychotic illness completed the translated SWN-K instrument. Item content analysis, internal consistency analysis, exploratory principal components analysis, and confirmatory factor analysis were used to construct the Estonian version of the SWN-K (SWN-K-E). Additionally, socio-demographic and clinical data, observer-rated psychopathology, medication side effects, daily antipsychotic drug dosages, and general functioning were assessed at two time points, at baseline and after a 29-week period; the associations of the SWN-K-E scores with these variables were explored. Results: After having selected 20 items for the Estonian adaptation, the internal consistency of the total SWN-K-E was 0.93 and the subscale consistencies ranged from 0.70 to 0.80. Good test-retest reliabilities were observed for the adapted scale scores, with the correlation of the total score over about 6 months being r = 0.70. Confirmatory factor analysis replicated the presence of a higher-order factor (general well-being) and five first-order factors (mental functioning, physical functioning, social integration, emotional regulation, and self-control); the model fitted the data well. The results indicated a moderate-high correlations r = 0.54 between the SWN-K-E total score and the evaluation how satisfied patients were with their lives in generally. No significant correlations were found between the overall subjective well-being score and age, severity of the psychopathology, drug adverse effects, or prescribed drug dosage. Conclusion: Taken together, the results demonstrated that the Estonian version of the SWN-K is a reliable and valid instrument with psychometric properties similar to the original English version. The potential uses of the scale in both research and clinical settings are considered. [ABSTRACT FROM AUTHOR]

ABSTRACT Introduction. Stable individual differences in personality traits have well-documented associations with various aspects of health. One of the health outcomes that directly depends on people's behavioral choices, and may therefore be linked to personality traits, is having a sexually transmitted disease (STD). Aim. The study examines the associations between a comprehensive set of basic personality traits and past STD history in a demographically diverse sample. Methods. Participants were 2,110 Estonians (1,175 women) between the ages of 19 and 89 (mean age 45.8 years, SD = 17.0). The five-factor model personality traits (Neuroticism, Extraversion, Openness to Experience, Agreeableness, and Conscientiousness) and their specific facets were rated by participants themselves and knowledgeable informants. Sex, age, and educational level were controlled for. Main Outcome Measure. History of STD diagnosis based on medical records and/or self-report. Results. History of STD diagnosis was associated with higher Neuroticism and lower Agreeableness in both self- and informant-ratings. Among the specific personality facets, the strongest correlates of STD were high hostility and impulsiveness and low deliberation. Conclusions. Individual differences in several personality traits are associated with a history of STD diagnosis. Assuming that certain personality traits may predispose people to behaviors that entail a higher risk for STD, these findings can be used for the early identification of people at greater STD risk and for developing personality-tailored intervention programs. Mõttus R, Realo A, Allik J, Esko T, and Metspalu A. History of the diagnosis of a sexually transmitted disease is linked to normal variation in personality traits. J Sex Med 2012;9:2861-2867. [ABSTRACT FROM AUTHOR]

Abstract: It has been reported that a Mediterranean-type diet in old age is protective against inflammation in Italians with depressive symptoms. In the present study, we explore this hypothesis in a non-Mediterranean, elderly sample, and further disentangle whether it is a Mediterranean diet per se or a healthy diet, in general, that confers this protective effect. The sample is a cohort of people born in 1936, who were assessed on diet and depressive symptoms at age 70. Inflammatory markers, C-reactive protein, fibrinogen and albumin, were collected at ages 70 and 73, while Interleukin-6 transferrin and ferritin were measured at the second time-point only. Controlling for confounding factors (e.g., CVD risk factors, medication) no interaction effect of depressive symptoms and Mediterranean diet was observed on inflammation. However, a main effect of Mediterranean diet on change in C-reactive protein was significant (β =−0.10, p =0.03), and so too was an effect of the ‘Health Aware’ diet on ferritin (β =−0.12, p =0.02). An interaction between depressive symptoms and a Health Aware diet on transferrin levels showed that there was an association between increased depressive symptoms and inflammation in those following a Health Aware diet. Our results indicate that there are advantages of a Mediterranean diet over a Health Aware diet with respect to the progression of inflammation in old age and that depressive symptoms compound inflammatory burden only for specific biomarkers and under specific dietary conditions unrelated to the Mediterranean diet. [Copyright &y& Elsevier]

Abstract: We tested the associations between individual differences in the Big Five personality traits and their changes over the ninth decade of life and levels of and changes in cognitive functioning, physical fitness, and everyday functioning. Besides mean-level changes in personality traits, there were significant individual differences in their rates of change between ages 81 and 87. The changes in the Big Five traits were not strongly intercorrelated, suggesting little common influence on personality change. Lower IQ at age 79 predicted lower Intellect and higher Extraversion, and more decline in Conscientiousness from ages 81 to 87. Also, decreases in physical fitness were associated with declines in Conscientiousness. [Copyright &y& Elsevier]

In cross-national studies, mean levels of self-reported phenomena are often not congruent with more objective criteria. One prominent explanation for such findings is that people make self-report judgements in relation to culture-specific standards (often called the reference group effect), thereby undermining the cross-cultural comparability of the judgements. We employed a simple method called anchoring vignettes in order to test whether people from 21 different countries have varying standards for Conscientiousness, a Big Five personality trait that has repeatedly shown unexpected nation-level relationships with external criteria. Participants rated their own Conscientiousness and that of 30 hypothetical persons portrayed in short vignettes. The latter type of ratings was expected to reveal individual differences in standards of Conscientiousness. The vignettes were rated relatively similarly in all countries, suggesting no substantial culture-related differences in standards for Conscientiousness. Controlling for the small differences in standards did not substantially change the rankings of countries on mean self-ratings or the predictive validities of these rankings for objective criteria. These findings are not consistent with mean self-rated Conscientiousness scores being influenced by culture-specific standards. The technique of anchoring vignettes can be used in various types of studies to assess the potentially confounding effects of reference levels. Copyright © 2011 John Wiley & Sons, Ltd. [ABSTRACT FROM AUTHOR]

Abstract: It is well established that neighbourhood quality is related to various aspects of people''s health and coping, especially in old age. There have also been a few reports on the links between self-reported neighbourhood quality and quality of life in older age. However, it is not clear which aspects of quality of life in particular are related to neighbourhood quality and whether these associations are independent of the roles of cognitive, socioeconomic or health status, or rating biases. Using a large sample of Scots from the Edinburgh area (N = 1091, of whom 548 were men) aged between 68 and 71 years, this study shows direct associations of objectively and comprehensively determined neighbourhood deprivation with self-perceived quality of life in physical and environmental domains, but not in psychological or social relationship domains. In a path model, these associations were independent of the roles of childhood cognitive ability and change in it to age 70, educational attainment, and occupational social class. The count of adverse health conditions (cardiovascular disease, stroke history, high blood pressure, diabetes, or arthritis) was associated with both quality of life and neighbourhood deprivation, and mediated the indirect links from neighbourhood deprivation to physical, psychological and environmental domains of quality of life. It is concluded that the neighbourhood in which older people live plays a role in one of the most important outcomes—how satisfied they are with various aspects of their life including physical functioning. [ABSTRACT FROM AUTHOR]

Abstract: It is well established that neighbourhood quality is related to various aspects of people''s health and coping, especially in old age. There have also been a few reports on the links between self-reported neighbourhood quality and quality of life in older age. However, it is not clear which aspects of quality of life in particular are related to neighbourhood quality and whether these associations are independent of the roles of cognitive, socioeconomic or health status, or rating biases. Using a large sample of Scots from the Edinburgh area (N = 1091, of whom 548 were men) aged between 68 and 71 years, this study shows direct associations of objectively and comprehensively determined neighbourhood deprivation with self-perceived quality of life in physical and environmental domains, but not in psychological or social relationship domains. In a path model, these associations were independent of the roles of childhood cognitive ability and change in it to age 70, educational attainment, and occupational social class. The count of adverse health conditions (cardiovascular disease, stroke history, high blood pressure, diabetes, or arthritis) was associated with both quality of life and neighbourhood deprivation, and mediated the indirect links from neighbourhood deprivation to physical, psychological and environmental domains of quality of life. It is concluded that the neighbourhood in which older people live plays a role in one of the most important outcomes—how satisfied they are with various aspects of their life including physical functioning. [Copyright &y& Elsevier]

This study investigated the role of adolescents' cognitive ability, personality traits and school success in predicting later criminal behaviour. Cognitive ability, the five-factor model personality traits and the school grades of a large sample of Estonian schoolboys ( N = 1919) were measured between 2001 and 2005. In 2009, judicial databases were searched to identify participants who had been convicted of misdemeanours or criminal offences. Consistent with previous findings, having a judicial record was associated with lower cognitive ability, grade point average, agreeableness, and conscientiousness and higher neuroticism. In multivariate path models, however, the contributions of cognitive ability and conscientiousness were accounted for by school grades and the effect of neuroticism was also accounted for by other variables, leaving grade point average and agreeableness the only independent predictors of judicial record status. Copyright © 2011 John Wiley & Sons, Ltd. [ABSTRACT FROM AUTHOR]

Abstract: Two large cross-cultural databases on personality were used to study the relationship between culture-level mean scores of Conscientiousness and 18 country-level criterion variables including health indicators, religiosity, democracy, corruption, economic wealth and freedom, and the presence of a favorable business environment. Compared to previous research, more rigorous requirements for the study of the predictor–criterion relationships were formulated and followed. Mean Conscientiousness scores were significantly related to most of the criteria but, importantly, the relationships differed largely across facets of the broad Conscientiousness domain. In several facets, the patterns of relationships to the external criteria were consistent with clearly formulated multi-variate predictions but the pattern of relationships was moderated by the type of ratings (self- vs. observer-ratings). [Copyright &y& Elsevier]

Abstract: In this study, 3705 participants from across the Russian Federation were asked to rate their own personality traits, those of a typical Russian living in their region, and those of an ideal person, using the National Character Survey (NCS). Another large group of participants (N= 3537) was asked to identify an ethnically Russian college-aged man or woman whom they knew well and rate this target using the NEO PI-R. The mean personality profiles of the typical Russian converged significantly with self-rated personality traits (r =.63, p <.01), but not with observer-ratings (r =.33, p =.08). However, the former correlation lost its significance when the mean ratings of an ideal person ratings were controlled for (r =.35, p =.06). The mean ratings of a typical Russian converged even more substantially with the personality profile of an ideal person (r =.71, p <.001). Overall, the results suggest that the portrait of a typical Russian may to some extent be based on actual personality dispositions of Russians, but it is more likely that this portrait reflects socially desirable personality traits that have been attributed to a typical Russian. The results extend previous findings by demonstrating the importance of using multiple rating conditions at the same time. [Copyright &y& Elsevier]

Due to changes in gambling accessibility during the last decade gambling has become more widespread in Estonia and the prevalence of pathological gambling has sharply increased. The present study attempts to identify psychological characteristics of Estonian pathological gamblers. It has been shown that a wide range of social, economic, and individual factors (e.g. personality traits and emotional states) predict the likelihood of becoming a pathological gambler. In the present study, pathological gamblers’ ( N = 33) personality traits, self-esteem, self-reported emotional states and cognitive ability were compared to the respective characteristics in a non-gambling control group ( N = 42) matched for age, gender and educational level. It was found that compared to controls, pathological gamblers had higher scores on Neuroticism (especially on its immoderation facet) and lower scores on Conscientiousness (especially on its dutifulness and cautiousness facets) and on self-esteem scale. They reported more negative emotional states during the previous month (especially depression and anxiety). Finally, pathological gamblers had lower general cognitive ability. In a logistic regression model, the likelihood of being a pathological gambler was best predicted by high immoderation score and low cognitive ability. [ABSTRACT FROM AUTHOR]

Abstract: Participants were asked to assess personality traits of a typical individual with high or low academic or practical abilities. Opinions about the perceived relationships between personality and intelligence strongly converged. A typical intelligent person was believed to be emotionally stable, extraverted, open to new experiences, and conscientious, differing on these traits diametrically from a typical individual endowed with low abilities. The perceived associations between ability and personality traits contrast with the typically weak correlations found between psychometrically measured intelligence and personality. Despite a considerable overlap between ability-related personality stereotypes and social desirability ratings of the personality traits, there was a discrepancy in the attitudes towards agreeableness. Although the facets of agreeableness were regarded as socially advantageous, participants did not believe that trust, straightforwardness and altruism are necessarily characteristic of a smart person. [Copyright &y& Elsevier]

Abstract: Both expert and folk psychologists believe that only children are spoiled, selfish, lonely, and socially estranged. In this study, we demonstrate that the stereotypical personality profile of a typical only child differs consistently from the stereotypical profile of those who have siblings on 23 out of the 30 NEO-PI-R subscales. These differences between stereotypical personality profiles do not reflect self-descriptions because the self-rated personality profiles made by only children coincide almost perfectly with the self-rated personality profiles of those who have brothers or sisters. The multiple children stereotype reflects rather accurately both the mean normative and the socially desirable personality profile. [Copyright &y& Elsevier]