Big Five personality traits

About: Big Five personality traits is a research topic. Over the lifetime, 25051 publications have been published within this topic receiving 1077236 citations. The topic is also known as: five-factor model & OCEAN model.

Gender Differences in Personality Traits Across Cultures: Robust and Surprising Findings

Abstract: Secondary analyses of Revised NEO Personality Inventory data from 26 cultures (N = 23,031) suggest that gender differences are small relative to individual variation within genders; differences are replicated across cultures for both college-age and adult samples, and differences are broadly consistent with gender stereotypes: Women reported themselves to be higher in Neuroticism, Agreeableness, Warmth, and Openness to Feelings, whereas men were higher in Assertiveness and Openness to Ideas. Contrary to predictions from evolutionary theory, the magnitude of gender differences varied across cultures. Contrary to predictions from the social role model, gender differences were most pronounced in European and American cultures in which traditional sex roles are minimized. Possible explanations for this surprising finding are discussed, including the attribution of masculine and feminine behaviors to roles rather than traits in traditional cultures.

Influence of extraversion and neuroticism on subjective well-being: happy and unhappy people.

Abstract: Three studies are reported that examine the relations between personality and happiness or subjective well-being. It is argued that (a) one set of traits influences positive affect or satisfaction, whereas a different set of traits influences negative affect or dissatisfaction; (b) the former set of traits can be reviewed as components of extraversion, and the latter as components of neuroticism; and (c) personality differences antedate and predict differences in happiness over a period of 10 years, thus ruling out the rival hypothesis that temporary moods or states account for the observed relations. A model of individual differences in happiness is presented, and the separate and complementary roles of trait and adaptation-level theories in explaining happiness are discussed.

The proactive component of organizational behavior: A measure and correlates

Abstract: This study investigated a personal disposition toward proactive behavior, defined as the relatively stable tendency to effect environmental change. We developed an initial scale to assess the construct and administered it to a sample of 282 undergraduates. Factor analysis led to a revised, unidimensional scale with sound psychometric properties. A second sample of 130 undergraduate students was used to determine the relationships between the proactive scale and the ’Big Five‘ personality domains: neuroticism, extraversion, openness, agreeableness, and conscientiousness. In a third sample of 148 MBA students, we assessed the proactive scale's relationships with three personality traits and three criterion measures. Consistent with hypotheses, scores on the proactive scale correlated with need for achievement, need for dominance, and independent measures of the nature of subjects' extracurricular and civic activities, the nature of their major personal achievements, and peer nominations of transformational leaders. We discuss the potential of the proactive construct to enhance our understanding of, and ability to predict, a wide range of behaviors.

Private traits and attributes are predictable from digital records of human behavior

Abstract: We show that easily accessible digital records of behavior, Facebook Likes, can be used to automatically and accurately predict a range of highly sensitive personal attributes including: sexual orientation, ethnicity, religious and political views, personality traits, intelligence, happiness, use of addictive substances, parental separation, age, and gender. The analysis presented is based on a dataset of over 58,000 volunteers who provided their Facebook Likes, detailed demographic profiles, and the results of several psychometric tests. The proposed model uses dimensionality reduction for preprocessing the Likes data, which are then entered into logistic/linear regression to predict individual psychodemographic profiles from Likes. The model correctly discriminates between homosexual and heterosexual men in 88% of cases, African Americans and Caucasian Americans in 95% of cases, and between Democrat and Republican in 85% of cases. For the personality trait “Openness,” prediction accuracy is close to the test–retest accuracy of a standard personality test. We give examples of associations between attributes and Likes and discuss implications for online personalization and privacy.