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 of2 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. ·
Standard psycholexical studies of personality structure have produced a similar 6-factor solution in 7 languages (Dutch, French, German, Hungarian, Italian, Korean, Polish). The authors report the content of these personality dimensions and interpret them as follows: (a) a variant of Extraversion, defined by sociability and liveliness (though not by bravery and toughness); (b) a variant of Agreeableness, defined by gentleness, patience, and agreeableness (but also including anger and ill temper at its negative pole); (c) Conscientiousness (emphasizing organization and discipline rather than moral conscience); (d) Emotionality (containing anxiety, vulnerability, sentimentality, lack of bravery, and lack of toughness, but not anger or ill temper); (e) Honesty-Humility; (f) Intellect/Imagination/Unconventionality. A potential reorganization of the Big Five factor structure is discussed.
We tested the hypothesis that only 3 factors of personality description are replicable across many different languages if they are independently derived by a psycholexical approach. Our test was based on 14 trait taxonomies from 12 different languages. Factors were compared at each level of factor extraction with solutions with 1 to 6 factors. The 294 factors in the comparisons were identified using sets of markers of the 6-factor model by correlating the marker scales with the factors. The factor structures were pairwise compared in each case on the basis of the common variables that define the 2 sets of factors. Congruence coefficients were calculated between the varimax rotated structures after Procrustes rotation, where each structure in turn served as a target to which all other structures were rotated. On the basis of average congruence coefficients of all 91 comparisons, we conclude that factor solutions with 3 factors on average are replicable across languages; solutions with more factors are not.
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