Less Evaluative Measures of Personality in Job Applicant Contexts: The Effect on Socially Desirable Responding and Criterion Validity.

Researchers have long sought to mitigate the detrimental effects of socially desirable responding on personality assessments in high-stakes contexts. This study investigated the effect of reducing the social desirability of personality items on response distortion and criterion validity in a job applicant context. Using a 2 × 2 repeated measures design, participants (n = 584) completed standard (International Personality Item Pool) and less evaluative (Less Evaluative Five Factor Inventory) measures of Big Five personality in a low-stakes context and then several weeks later in a simulated job applicant context. Self-report criteria with objective answers, including university grades, were also obtained. In general, the less evaluative measure showed less response distortion than the standard measure on some metrics, but not on others. Declines in criterion validity in the applicant context were smaller for the less evaluative measure. In the applicant context, however, validities were similar across the two measures. Correlations across contexts for corresponding traits (e.g., low-stakes extraversion with high-stakes extraversion) were also similar for both measures. In summary, reducing socially desirable item content might slightly reduce the substantive content required to predict criteria in low-stakes contexts, but this effect appears to be partly offset by reduced response distortion for less evaluative measures in applicant contexts.

Ubiquitous Personality-Trait Concepts in 13 Diverse and Isolated Languages: A Cluster-Classification Approach.

There is longstanding interest in the generalizability of personality across diverse cultures. To investigate the generalizability of personality concepts, we examined the English translations of individual-difference entries from the dictionaries of 12 small-scale societies previously studied for ubiquity of individual differences, plus the dictionary of an additional society not previously studied in this manner. These 13 societies are highly diverse in geographical location, culture, and language family; their languages developed in isolation from modern-world languages. The goal of our exploratory research was to discover ubiquitous personality concepts in these 13 independent societies and their languages, providing a window into personality concepts across a broad range of cultures and languages. This study used clusters of empirically related terms (e.g., brave, courageous, daring), based on a taxonomy of English-language personality concepts that consisted of 100 personality-trait clusters. English-language definitions of dictionary entries from the 13 languages were matched to the meanings of the synonym clusters. The cluster-classification method uncovered nine ubiquitous personality concepts, plus six that were present in at least 12 of the 13 languages. The nine ubiquitous personality concepts include some not previously identified and suggest a core of possibly universal concepts.

Predicting psychological and subjective well-being from personality: A meta-analysis.

This study reports the most comprehensive assessment to date of the relations that the domains and facets of Big Five and HEXACO personality have with self-reported subjective well-being (SWB: life satisfaction, positive affect, and negative affect) and psychological well-being (PWB: positive relations, autonomy, environmental mastery, purpose in life, self-acceptance, and personal growth). It presents a meta-analysis (n = 334,567, k = 462) of the correlations of Big Five and HEXACO personality domains with the dimensions of SWB and PWB. It provides the first meta-analysis of personality and well-being to examine (a) HEXACO personality, (b) PWB dimensions, and (c) a broad range of established Big Five measures. It also provides the first robust synthesis of facet-level correlations and incremental prediction by facets over domains in relation to SWB and PWB using 4 large data sets comprising data from prominent, long-form hierarchical personality frameworks: NEO PI-R (n = 1,673), IPIP-NEO (n = 903), HEXACO PI-R (n = 465), and Big Five Aspect Scales (n = 706). Meta-analytic results highlighted the importance of Big Five neuroticism, extraversion, and conscientiousness. The pattern of correlations between Big Five personality and SWB was similar across personality measures (e.g., BFI, NEO, IPIP, BFAS, Adjectives). In the HEXACO model, extraversion was the strongest well-being correlate. Facet-level analyses provided a richer description of the relationship between personality and well-being, and clarified differences between the two trait frameworks. Prediction by facets was typically around 20% better than domains, and this incremental prediction was larger for some well-being dimensions than others. (PsycINFO Database Record (c) 2020 APA, all rights reserved).