Honesty-humility, the big five, and the five-factor model

This study investigated the relations of the proposed sixth factor of personality, Honesty-Humility, with the dimensions of the classic English lexical Big Five and the closely related Five-Factor Model (FFM). Results showed that although Honesty-Humility was largely unrelated to markers of the Big Five factors, it was substantially correlated with the FFM Agreeableness domain. This relation was largely due to the Straightforwardness and Modesty facets of FFM Agreeableness, which were only weakly correlated with the Big Five version of Agreeableness. A realignment of FFM facets to produce separate Honesty-Humility and Agreeableness factors provided better prediction of personality variables that involve deceit without hostility, such as Social Adroitness and Self-Monitoring. Results indicate the importance of assessing Honesty-Humility as a separate factor.     

Development of a Short Form of the Abridged Big Five-Dimensional Circumplex Model to Aid with the Organization of Personality Traits

Although there has been widespread consensus on the use of the Five-Factor Model (FFM) of general personality functioning in personality research, there are various, diverse models of the lower order traits of the FFM domains. Given the usefulness of these finer grained traits, it is imperative to integrate facets proposed across a variety of models and eventually reach consensus on the lower level traits of the FFM. Due to its depth and coverage, the Abridged Big Five-Dimensional Circumplex (AB5C) model potentially provides a useful framework for organizing various faceted models due to its conceptual organization and inclusiveness. The only measure of this model—the IPIP–AB5C—has shown promise, but is limited by its length (i.e., 485 items). This study developed an abbreviated version of the IPIP–AB5C using an iterative process including item response theory methods. The shorter version maintained key features of the long form including a factor structure that matched the full form as well as facets that correlated in expected ways with other FFM measures. Building on this support, the short form was used to contextualize and organize the facets from 2 commonly used measures.     

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.     

Integration of the big five and circumplex approaches to trait structure.

To integrate the 5-dimensional simple-structure and circumplex models of personality, the Abridged Big Five Dimensional Circumplex (AB5C) taxonomy of personality traits was developed, consisting of the 10 circumplexes that can be formed by pitting each of the Big Five factors against one another. The model maps facets of the Big Five dimensions as blends of 2 factors. An application to data consisting of 636 self-ratings and peer ratings on 540 personality trait adjectives yielded 34 well-defined facets out of a possible 45. The AB5C solution is compared with simple-structure and lower dimensional circumplex solutions, and its integrative and corrective potential are discussed, as well as its limitations.     

“大五”与五因素模型：两种不同的人格结构

随着词汇学取向的“大五”结构和理论取向的五因素模型的出现,人格研究者就人格分类系统的问题达成了初步的共识。“大五”结构和五因素模型在形式和内容上有很多相似之处,但二者在历史渊源、内容形式、基本性质、研究走向等方面都存在一定的差异。文章试图从以上方面明确二者的差异,以澄清相关的混淆和误解,并在文章结语部分对两种取向研究对中国人人格结构研究的启示进行了详细的分析     

A factor analysis of the most frequently used Korean personality trait adjectives

We tested the cross‐cultural generalizability of personality structure by factor‐analysing self‐ratings of 435 Korean university students on the 406 most frequently used Korean personality trait adjectives. A plot of eigenvalues and a test of factor replicability both suggested a four‐factor solution. The four varimax‐rotated factors showed strong correlations with the first four factors of the Big Five (Extraversion, Agreeableness, Conscientiousness, and Emotional Stability), as measured by markers selected a priori from the pool of 406 adjectives. We also investigated a five‐factor solution, in an attempt to recover an Intellect factor. The five varimax‐rotated factors corresponded closely to the classic Big Five, but with a minor difference in the rotation of the Conscientiousness and Intellect factors. Solutions involving six and seven factors were also investigated, and these solutions produced a Truthfulness factor similar to some previously discovered lexical factors. The results of the study were discussed in relation to the lexical hypothesis and to previous studies of personality structure in East Asian languages. Copyright © 1999 John Wiley & Sons, Ltd.     

Development and Validation of Research Scales for the Leadership Multi‐rater Assessment of Personality (LMAP)

This article presents large‐sample developmental and validation research for a set of research scales of an existing 360‐degree personality measure, the LMAP 360 (Leadership Multi‐rater Assessment of Personality). In Study 1 (N = 1,771), we identified 6 broad domains underlying LMAP item clusters: Neuroticism, Dominance, Enthusiasm, Openness, Agreeableness, and Conscientiousness. Scales measuring these broad domains and their constituent facets showed strong internal consistency, inter‐rater reliability, and self‐informant correlations. In Study 2 (N = 729 and N = 694), we examined LMAP research scales’ convergent and discriminant validity against three well‐validated personality inventories (Goldberg's adjectives, the Big Five Inventory, and the Big Five Aspects Scales) and one measure of cognitive ability (the International Cognitive Ability Resource). LMAP research scales correlated strongly with corresponding scales from other inventories and were distinct from cognitive ability.     

Opening Up Openness: A Theoretical Sort Following Critical Incidents Methodology and a Meta-Analytic Investigation of the Trait Family Measures

Existing taxonomies of Openness's facet structure have produced widely divergent results, and there is limited comprehensive empirical evidence about how Openness-related scales on existing personality inventories align within the 5-factor framework. In Study 1, we used a critical incidents sorting methodology to identify 11 categories of Openness measures; in Study 2, we meta-analyzed the relationships of these categories with global markers of the Big Five traits (utilizing data from 106 samples with a total sample size of N = 35,886). Our results identified 4 true facets of Openness: aestheticism, openness to sensations, nontraditionalism, and introspection. Measures of these facets were unadulterated by variance from other Big Five traits. Many traits frequently conceptualized as facets of Openness (e.g., innovation/creativity, variety-seeking, and tolerance) emerged as trait compounds that, although related to Openness, are also dependent on other Big Five traits. We discuss how Openness should be conceptualized, measured, and studied in light of the empirically based, refined taxonomy emerging from this research.     

Development of big five domains and facets in adulthood: mean-level age trends and broadly versus narrowly acting mechanisms

Data from a cross‐sectional sample (N = 601 men and women) and a longitudinal sample (N = 125 women) were used to test hypotheses about the development of Big Five domains and facets from early adulthood through middle age. Analyses of mean‐level age trends indicated that overall Agreeableness and Conscientiousness increased with age and that several facets showed distinctive trends that replicated across the samples. Cross‐sectional analyses of trait intercorrelations and covariances indicated that interrelations between the Big Five domains, and between their more specific facets, were quite similar at older versus younger ages. Finally, longitudinal analyses of individual‐level changes indicated that (a) different people's personalities changed in markedly different ways; (b) these changes were predominantly independent, rather than correlated, across Big Five domains; and (c) the pattern of change correlations between Big Five facets could be explained by the facets’ interrelations at the first assessment time. Taken together, these results suggest that a complete understanding of personality development requires consideration of facet‐level traits and that adult personality development is predominantly influenced by narrowly acting mechanisms that each affect a single Big Five domain, or a small cluster of related facets, rather than by broadly acting mechanisms that simultaneously affect previously independent traits.     

Personality described by adjectives: The generalizability of the Big Five to the Italian lexical context

Two studies have been performed in the frame of the Big Five model to describe personality. In the first study, the most useful adjectives for describing personality have been selected, trying to adopt a procedure as objective and empirically driven as possible. The resulting pool of adjectives (n = 492) has been administered to a sample of 274 subjects to verify the emergence of the Big Five in the Italian context. In the second study the pool of original adjectives has been reduced to 260 adjectives selecting the most representative terms (with regard to the factorial structure that has emerged). This pool of 260 adjectives has been administered to a sample of 862 subjects, together with the NEO-PI and the BFQ to facilitate the interpretation of the resulting factorial structure. Results showed the emergence of an Italian Big Five factorial structure that resembles the ‘canonical’ Big Five, although some of the factors, viz. Agreeableness and Emotional Stability, emerged as ‘blended’ dimensions.     

The value(s) of information on social network sites: The role of user personality traits

PurposeThe present research examines the relationship between personality of social network site (SNS) users and the perceived value of the information they seek. Building on the Reasoned Action Approach, personality is conceptualized as a background factor influencing people's attitude towards the information they search for on SNS.Design/methodology/approachData were collected using a face-to-face survey among Facebook users (n = 311). Personality traits were assessed based on the Big Five dimensions. Statistical analyses estimate the effects of personality traits on the various values of the information sought on SNS. A three-step procedure was followed to standardize the independent variables and create interaction variables for the moderation test.FindingsThe results support the predictions that certain personality traits (e.g., conscientiousness and extraversion), as described by the FFM framework, are related to particular facets of information value (economic value and social value respectively). The effect of personality was moderated by participants’ Facebook usage intensity. Usage intensity dampens the relationship between agreeableness and functional value of information, and strengthens the negative relationship between openness-to-experience and psychological value of information.Practical implicationsThe personality-information value relationships found can help social media practitioners and marketers shape the content and appeal of the messages communicated to their audience on SNS, and tailor marketer-customer interactions in an engaging way.Originality/valueThe present research contributes to understanding the pivotal role of personality in evaluating the information people seek on social networks. It also adds to the literature regarding FFM and social media usage by supporting the notion that the Big Five personality traits predict value aspects of information that people pursue in the course of search behavior on Facebook.Article classificationResearch paper.     

Personality‐relevant attribute‐nouns: a taxonomic study in the Italian language

The present study was based on psycholexical approach premises and explored the structure of a large set of personality attribute‐nouns in the Italian language. Content inspection (based on Big Five categories) and quantitative indices were used to interpret the attribute‐noun dimensions. Results showed (a) a stable three‐component solution which replicated the Big Three; (b) an unstable five‐factor solution which did not reproduce the Big Five; (c) an unstable six‐factor solution which represented deviations from the Big Five system, which have been found in most psycholexical studies conducted in the Italian language. The six lexical dimensions were interpreted as follows: Conscientiousness (replicating the III of the Big Five); Self‐Assurance (combining the Big Five I assertiveness and IV fearfulness subcategories); Sociability (defined by the Big Five I sociableness and I impulse expression subcategories); Placidity (combining the Big Five II peacefulness, II unassertiveness, and IV irritableness subcategories); Honesty and Humility (comprising the Big Five II modesty and II helpfulness subcategories plus integrity values); Cleverness and Sophistication (defined by the Big Five V subcategories). The conclusion was that personality word organisation in the Italian language reflects the psycholexical Big Three and Big Six, but not the Big Five. Copyright © 2005 John Wiley & Sons, Ltd.