Intellectual competence and the intelligent personality: A third way in differential psychology.

This article conceptualizes the construct of the intelligent personality as an indicator of intellectual competence in an attempt to expand the traditional concept of intelligence and account for both ability and nonability determinants of academic performance. Theoretical implications are discussed with regard to recent attempts to (a) explain correlations between personality and intelligence measures, (b) conceptualize novel constructs that may bridge the gap between intelligence and personality, and (c) develop a conceptual model for understanding the relationship among individual differences underlying human performance in real-world settings. Practical implications are also considered, in particular with regard to the validity of the intelligent personality as a predictor of future achievement. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

Personality, self-estimated intelligence, and uses of music: A Spanish replication and extension using structural equation modeling.

This study replicates and extends a recent study on personality, intelligence and uses of music [Chamorro-Premuzic, T., & Furnham, A. (2007). Personality and music: Can traits explain how people use music in everyday life? British Journal of Psychology, 98, 175–185] using Spanish participants and structural equation modeling. Data from 245 university students showed that, in line with our hypotheses, individuals higher in Neuroticism were more likely to use music for emotional regulation (influencing their mood states), those higher in Extraversion were more likely to use music as background to other activities, and those higher in Openness were more likely to experience music in a cognitive or intellectual way. As predicted, self-estimates of intelligence were also linked to cognitive use of music, though not when individual differences were considered. On other hand, contrasting with initial predictions, Extraversion was positively rather than negatively linked to emotional use of music. Small incremental effects of gender (over personality) were also found on the emotional use of music. Results are discussed in regards to previous findings on personality traits as determinants of uses of music. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

Personality and uses of music as predictors of preferences for music consensually classified as happy, sad, complex, and social.

This study replicates the findings of a recent study (Chamorro-Premuzic, Gomà-i-Freixanet, Furnham, & Muro, 2009) on the relationship between the Big Five personality traits and everyday uses of music or people's motives for listening to music. In addition, it examined emotional intelligence as predictor of uses of music, and whether uses of music and personality traits predicted liking of music consensually classified as sad, happy, complex, or social. A total of 100 participants rated their preferences for 20 unfamiliar musical extracts that were played for a 30-s interval on a website and completed a measure of the Big Five personality traits. Openness predicted liking for complex music, and Extraversion predicted liking for happy music. Background use of music predicted preference for social and happy music, whereas emotional music use predicted preference for sad music. Finally, males tended to like sad music and use music for cognitive purposes more than females did. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

Personality predictors of artistic preferences as a function of the emotional valence and perceived complexity of paintings.

This study explored associations among the Big Five personality factors, unconventionality, selected demographics, and preference for 4 distinct visual art genres (portraiture, abstract art, geometric art, and impressionism). In total, 3,254 participants completed an online survey assessing individual difference and preference ratings for different paintings. Participants were also asked to rate each observed painting for emotional liking and perceived complexity, which enabled examination of whether personality could predict artistic preferences when the latter was classified on the basis of consensual, rather than researcher-led or art historical, taxonomies. Correlations and structural equation models showed that the correlates and predictors of artistic preferences were stronger when art was classified using consensual ratings (particularly in the case of complex art) than according to researcher-led or art historical taxonomies. Although these findings are somewhat exploratory and more comprehensive measures of individual differences and art preferences could be employed, they suggest that trait-congruent classifications of aesthetic stimuli may improve prediction and understanding of individual differences in artistic preferences. (PsycINFO Database Record (c) 2010 APA, all rights reserved)