Personality-performance correlations at work: Individual and aggregate levels of analyses

In the occupational community, there is a widespread faith in the utility of personality assessment for selection, development, etc. This faith has been immune to arguments, supported by empirical evidence, regarding the poor correlation between personality and performance in the workplace (these correlations rarely exceed the 0.2–0.3 level). The difference between perception of utility and the actual empirical reality is large. We investigated one possible source of this perceived-actual discrepancy. In two separate samples, we compared the magnitude of validity coefficients from individual and aggregate (i.e. organizational) levels. Our results indicated that strong actual personality-performance correlations exist at the aggregate level of analysis, but not at the individual level of analysis. We suggest that this aggregate-individual correlation discrepancy may, in part at least, account for the perceived-actual discrepancy noted above. We conclude that the continued faith in personality testing in the workplace may be a consequence of test users' sensitivity to actual aggregate level personality-performance correlations. However, we warn of the danger of drawing inferences from aggregate level correlations when making decisions about individuals, and point out the statistical artefacts that may account for some of the magnitude increase in aggregate level correlations. Several foci for further research are indicated.     

Motivational Basis of Personality Traits: A Meta‐Analysis of Value‐Personality Correlations

We investigated the relationships between personality traits and basic value dimensions. Furthermore, we developed novel country‐level hypotheses predicting that contextual threat moderates value‐personality trait relationships. We conducted a three‐level v‐known meta‐analysis of correlations between Big Five traits and Schwartz's (1992) 10 values involving 9,935 participants from 14 countries. Variations in contextual threat (measured as resource threat, ecological threat, and restrictive social institutions) were used as country‐level moderator variables. We found systematic relationships between Big Five traits and human values that varied across contexts. Overall, correlations between Openness traits and the Conservation value dimension and Agreeableness traits and the Transcendence value dimension were strongest across all samples. Correlations between values and all personality traits (except Extraversion) were weaker in contexts with greater financial, ecological, and social threats. In contrast, stronger personality‐value links are typically found in contexts with low financial and ecological threats and more democratic institutions and permissive social context. These effects explained on average more than 10% of the variability in value‐personality correlations. Our results provide strong support for systematic linkages between personality and broad value dimensions, but they also point out that these relations are shaped by contextual factors.     

An all‐or‐nothing thinking turns into darkness: Relations between dichotomous thinking and personality disorders1

Dichotomous thinking is an individual's propensity to think in terms of binary opposition. While this thinking style may be useful for quick decision‐making, some clinical psychologists have indicated that such a style is related to personality disorders. Oshio (2009 ) revealed that the Dichotomous Thinking Inventory (DTI) has significant positive correlations with borderline personality and narcissism. This study examines whether dichotomous thinking is associated with cluster A, B, and C personality disorders. The participants comprised 152 Japanese undergraduates (84 male and 68 female). They completed the DTI and Ten Personality Styles scale (10 PesT; Nakazawa (2006 )), developed from the definitions of personality disorders in the DSM‐IV. Structural equation modeling supported the hierarchical factor structure of personality disorders. The dichotomous thinking effects “cluster” level of disorders more than other levels. The results indicated that thinking dichotomously may lead to wide‐ranging personality disorders.     

Aggregation of opinions based on correlated cues and advisors

We study the process by which decision makers (DMs) aggregate probabilistic opinions from multiple, correlated sources with a special emphasis on the determinants of the DM's confidence, which is a predictor of the DM's willingness to accept the implications of the aggregation process. Our model assumes that (a) DM combines the advisors' opinions by weighting them according to the amount of information underlying them, and (b) the DM's confidence increases as a function of a variety of factors that reduce the variance of the aggregate. We report results of three studies that manipulate the predictive validity of the cues and their inter‐correlations. Most of the models' predictions are supported but, contrary to the model's prediction, the DMs' confidence is not sensitive to the inter‐cue correlation. The best predictors of the DMs' confidence are the perceived predictability of the event, the level of agreement among the advisors, and the advisors' self‐reports of confidence. This pattern of results is explained by the ‘system neglect’ hypothesis. Copyright © 2006 John Wiley & Sons, Ltd.     

Evidence for the Big Five in analyses of familiar English personality adjectives

Studies of the natural language are a prime source of the Big-Five model, yet the factor analysis of a large, representative, and non-clustered set of English-language personality adjectives in a large sample has not yet been published. In order to test the hypothesis that finding the Big Five depends on biasing the variable selection with an investigator's preferred non-familiar terms, we present the factor analysis of 435 familiar adjectives in a combined sample (N=899) of 507 self- and 392 peer ratings. The five-factor solution reproduced the Big Five with high clarity, demonstrating generally very high correlations with Goldberg's adjective markers of the Big Five. The Intellect factor had a more moderate correlation, due to its de-emphasis of the creativity components of Factor V, a phenomenon that may occur commonly with the lexical Intellect factor.     

Aggregated Personality, Climate and Demographic Factors as Predictors of Departmental Shrinkage

The present study investigated how demographic, personality, and climate variables act to predict departmental theft. Participants in the current field survey were 153 employees from 17 departments across two stores. The results of confirmatory factor analyses supported the construct validity of the Big Five Inventory (John, Donahue, & Kentle, 1991) and the Occupational Climate Questionnaire (Furnham & Gunter, 1997) in UK work settings. The results of regression analysis indicate that the variability in departmental theft is accountable in terms of a linear combination of demographic, personality, and climate factors. We concluded that an expanded theoretical perspective (utilizing demographic, personality, and climate variables) explained more variance than might otherwise be expected from any single perspective. Indeed, climate, personality, and demographic variables operated legitimately at the departmental level. Finally, we explained aggregated personality as a form of social interaction which is the by-product of individual differences.     

Idiographic complexity and the common personality dimensions insensitivity,extraversion, neuroticism,and orderliness

This paper reports on an attempt to investigate empirically whether the common personality dimensions S or Insensitivity, E or Extraversion, N or Neuroticism, and G or Orderliness, as postulated in Van Kampen's modification of Eysenck's PEN model, would in principle give rise to the same level of predictive accuracy as a set of personal traits obtained in each of a series of assessments of separate individuals. Using a special methodology to ‘convert’ the nomothetic dimensions into factors that are of idiographic relevance, (within‐person) correlations and multiple correlations between the idiographic traits and the nomothetic dimensions S, E, N, and G (predictors) were computed in a sample of 83 subjects. Results showed that the idiographic traits could be expressed in most cases as linear combinations of the four idiographically converted nomothetic factors, and that the degree to which an individual's idiographic data could be explained nomothetically was unrelated to this individual's conformity to the nomothetic zero‐correlational structure of the four dimensions. Copyright © 2000 John Wiley & Sons, Ltd.     

The team‐level model of climate for innovation: A two‐level confirmatory factor analysis

The level structure of West's (1990) four‐factor model of team climate for innovation was assessed by means of multi‐level confirmatory factor analysis (MCFA). The sample consisted of 1,487 individuals (195 teams) from a wide range of professions. Results showed that a considerable portion of the variance in the data was explained on the team level with intra‐class correlations ranging from .30 to .39. Furthermore, the results demonstrated that the overall measurement model fitted the data well at both the team and individual levels, while the factor loadings were slightly different across the levels with item loadings showing partial invariance. Results from confirmatory factor analyses conducted on separate levels, however, showed that the four‐factor model displayed the best fit to the data for both individual and team levels. A second‐order one‐factor model also fitted the data well on both levels. The results indicate that the team climate for innovation model can be used as a team‐level consensus model of team climate for innovation.     

Personality Traits Increasingly Important for Male Fertility: Evidence from Norway

We study the relationship between personality traits and fertility using a survey of Norwegian men and women born from 1927 to 1968 (N = 7017 individuals). We found that personality relates to men's and women's fertility differently; conscientiousness decreases female fertility, openness decreases male fertility and extraversion raises the fertility of both sexes. Neuroticism depresses fertility for men, but only for those born after 1956. The lower male fertility in younger cohorts high in neuroticism cannot be explained by partnership status, income or education. The proportion of childless men (at age 40 years) has increased rapidly for Norwegian male cohorts from 1940 to 1970 (from about 15 to 25 per cent). For women, it has only increased marginally (from 10 to 13 per cent). Our findings suggest that this could be partly explained by the increasing importance of personality characteristics for men's probability of becoming fathers. Men that have certain personality traits may increasingly be avoiding the long‐term commitment of having children, or their female partners are shunning entering this type of commitment with them. Childbearing in contemporary richer countries may be less likely to be influenced by economic necessities and more by individual partner characteristics, such as personality. Copyright © 2013 European Association of Personality Psychology     

Personality research—challenges for the future

This article is about the lessons that can be learned from the mistakes of the past. After a critical, constructive analysis of current theorizing and research, important directions of future personality psychology are described against the background of a general theoretical framework. It is argued that individual functioning cannot be understood or explained if the environmental factors that are operating in the individual's interactions with the environment and the biological factors that are constantly interacting with the cognitive-emotional system are not considered. Finally, the article focuses on conceptual and methodological issues that are of major importance for further progress in personality psychology, viz. (a) the match between level of psychological processes and type of data, (b) the nature of psychological phenomena studied in terms of variables, (c) the use of chronological age as the marker of individual development, and (d) the comparison between a variable and a person approach.     

The Chinese Version of the Revised Creativity Domain Questionnaire (CDQ‐R): First Evidence for its Factorial Validity and Systematic Association with the Big Five

The present study examines the factor structure of a Chinese version of the Revised Creativity Domain Questionnaire (CDQ‐R; Kaufman, Waterstreet, Ailaouni, Whitcomb, Roe, & Riggs, 2009) as well as its relation to Big Five personality traits within a Chinese sample (N = 787). Analyses indicate the appropriateness of the Chinese version of the CDQ‐R in terms of internal consistency, factorial validity as well as convergent and divergent validity concerning the Big Five personality factors. Revealing some culture‐specific variation, confirmatory factor analysis indicated a slight superiority of a five‐factor model for this Chinese sample over the existing four‐factor model established with American samples. This higher level of differentiation in terms of one factor of the creativity domain could be explained on the basis of the specific characteristics of the Chinese culture.     

Risk Orientation,Risk Exposure,and Policy Opinions: The Case of Free Trade

This research offers a general framework for thinking about how individual disposition towards risk influences public policy opinions. Affinity for or aversion to risk is, in part, a stable personality characteristic that interacts with risk and reward messages in complex policy debates. We examine the implications of this for public opinions about free trade with extensions to immigration policy. We argue and find that opinions about policy depend jointly upon one's exposure to potential gains or losses and one's risk orientation. The findings have implications for crafting and framing public policies because they highlight how individual characteristics are likely to shape the public response to policy proposals. Our findings suggest that there may be limits, in the aggregate, to the degree to which elites can alter the level of support for policies through framing or through offering risk‐mitigating policy provisions.     

The Validity and Structure of Culture‐Level Personality Scores: Data From Ratings of Young Adolescents

ABSTRACT We examined properties of culture‐level personality traits in ratings of targets (N=5,109) ages 12 to 17 in 24 cultures. Aggregate scores were generalizable across gender, age, and relationship groups and showed convergence with culture‐level scores from previous studies of self‐reports and observer ratings of adults, but they were unrelated to national character stereotypes. Trait profiles also showed cross‐study agreement within most cultures, 8 of which had not previously been studied. Multidimensional scaling showed that Western and non‐Western cultures clustered along a dimension related to Extraversion. A culture‐level factor analysis replicated earlier findings of a broad Extraversion factor but generally resembled the factor structure found in individuals. Continued analysis of aggregate personality scores is warranted.     

A Rigorous Test of the Fit of the Circumplex Model to Big Five Personality Data: Theoretical and Methodological Issues and Two Large Sample Empirical Tests

Our objective was to apply the rigorous test developed by Browne (1992) to determine whether the circumplex model fits Big Five personality data. This test has yet to be applied to personality data. Another objective was to determine whether blended items explained correlations among the Big Five traits. We used two working adult samples, the Eugene-Springfield Community Sample and the Professional Worker Career Experience Survey. Fit to the circumplex was tested via Browne's (1992) procedure. Circumplexes were graphed to identify items with loadings on multiple traits (blended items), and to determine whether removing these items changed five-factor model (FFM) trait intercorrelations. In both samples, the circumplex structure fit the FFM traits well. Each sample had items with dual-factor loadings (8 items in the first sample, 21 in the second). Removing blended items had little effect on construct-level intercorrelations among FFM traits. We conclude that rigorous tests show that the fit of personality data to the circumplex model is good. This finding means the circumplex model is competitive with the factor model in understanding the organization of personality traits. The circumplex structure also provides a theoretically and empirically sound rationale for evaluating intercorrelations among FFM traits. Even after eliminating blended items, FFM personality traits remained correlated.     

Testing the latent factor structure and construct validity of the Ten-Item Personality Inventory

Recent efforts have aimed to develop relatively short measures of the Five-Factor Model (FFM) of personality, particularly for when time and/or space is limited. We evaluate the Ten-Item Personality Inventory (TIPI), a non-proprietary FFM measure with two items per dimension. We use a latent variable methodology to examine the TIPI’s factor structure and convergent validity with the 50-item International Personality Item Pool (IPIP) FFM measure. We provide correlations between the scale scores and latent factors, and compare each measure’s pattern of correlations with measures of other individual difference constructs. Results were favorable in terms of the factor structure and convergent validity of the TIPI, particularly regarding the correlations between the respective latent factors of the TIPI and the IPIP–FFM measures.     

Superfactors P,E And N In A Comprehensive Factor Space

Browne and Howarth, in a recent study, selected 400 items from 1726 non-repeated items appearing in previous personality studies, representing twenty hypothetical factors, analysis, followed by rotation, resulted in a multiplicity of factors, many of them similar to those hypothesized. A table is given of the intercorrelations between factors, but no higher order factor analysis was carried out. The writer's system predicts that three such factors should be found in any comprehensive study of this kind, and this paper reports a factor analysis of the correlations among the Browne and Howarth factors. A very clear three-factor picture emerges, with the hypothetical psychcoticism, extraversion and neuroticism factors having very much the predicted loading pattern. It is concluded that primary factor analysis without extraction of higher order factors leaves the analysis incomplete and omits what may be the most important part of the whole procedur. The results are interpreted as supporting the writer's theoretical position.     

Factors influencing two types of congruence in multirater judgments

In two studies of 360° judgments, it was shown that congruence measured in terms of intercorrelations between ratings by different people (congruence‐r) and in terms of the discrepancy between those ratings (congruence‐d) were empirically independent of each other. Congruence‐r was greatest, and congruence‐d was smallest, between judgments made by a target person and his or her supervisor, rather than by subordinates or peers; the differential observability of rated behaviors predicted congruence‐r but not congruence‐d. Variations in both forms of congruence were found to arise from the source of a judgment, and from a target person's age, gender, cognitive ability, and certain personality attributes. Over‐ and under‐rating associated with a personality or another third factor was shown to derive from substantially different correlations between such a factor and the two separate judgments under consideration.     

The Psychometric Costs of Applicants' Faking: Examining Measurement Invariance and Retest Correlations Across Response Conditions

This study examines the stability of the response process and the rank-order of respondents responding to 3 personality scales in 4 different response conditions. Applicants to the University College of Teacher Education Styria (N = 243) completed personality scales as part of their college admission process. Half a year later, they retook the same personality scales in 1 of 3 randomly assigned experimental response conditions: honest, faking-good, or reproduce. Longitudinal means and covariance structure analyses showed that applicants' response processes could be partially reproduced after half a year, and respondents seemed to rely on an honest response behavior as a frame of reference. Additionally, applicants' faking behavior and instructed faking (faking-good) caused differences in the latent retest correlations and consistently affected measurement properties. The varying latent retest correlations indicated that faking can distort respondents' rank-order and thus the fairness of subsequent selection decisions, depending on the kind of faking behavior. Instructed faking (faking-good) even affected weak measurement invariance, whereas applicants' faking behavior did not. Consequently, correlations with personality scales—which can be utilized for predictive validity—may be readily interpreted for applicants. Faking behavior also introduced a uniform bias, implying that the classically observed mean raw score differences may not be readily interpreted.