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- Genre: Masters Thesis
Description
The five-factor model of personality is a conceptual model for describing personality, and represents five traits which are theorized to interact with each other to form personality. The Big Five Questionnaire-Children (BFQ-C) was developed by Barbaranelli, Caprara, Rabasca and Pastorelli (2003) specifically to measure the five factor model in children. The original version was in Italian, but it has subsequently been translated and used in Dutch, German, and Spanish samples. Given that the BFQ-C has support in Europe, obtained in four different languages it seems promising as an assessment of personality for English speaking children and adolescents. The BFQ-C was translated into English utilizing translation and back translation in order to maintain a high conceptual equivalency. The current study utilizes principal components analysis in order to examine the structure of the English language translation of the BFQ-C in a sample of American adolescents. Results indicate that in contrast to the Italian study, findings from this study suggest a six component solution as the most effective interpretation of the data.
ContributorsGaio, Vanesa M (Author) / Caterino, Linda C (Thesis advisor) / Thompson, Marilyn (Committee member) / Miller, Paul A. (Committee member) / Arizona State University (Publisher)
Created2012
Description
Previous research used the context-free Big Five model of personality traits to predict social media behaviors. The perspective implicit in this research assumes that expression of the Big Five is free of situational context. This thesis challenges this assumption to address whether people express the same Big Five on social media as offline. In two studies, this thesis addressed three issues: (1) whether there are self-reported differences in the Big Five between social media/online and offline contexts, (2) whether a five-factor structure replicates in the offline and social media context reports, and (3) whether the predictive validity of the Big Five is the same between offline and social media contexts. College students (total N = 2102) reported their offline and social media Big Five. Main findings reveal that, first, all of the Big Five have lower expressions in social media/online than offline, except for those in the lowest quartile of offline trait expressions; possible explanations include regression towards the mean or the environmental impact of social media. Second, a similar factor structure appeared with openness, extraversion, and neuroticism items being the most robust between offline and social media contexts. However, some conscientiousness and agreeableness items did not apply across offline and social media contexts. Third, the Big Five had different predictive patterns of social media behaviors depending on the context. These findings inform that future research may better serve to specify the context of Big Five expression to understand social media behavior.
ContributorsBunker, Cameron James (Author) / Kwan, Virginia S. Y. (Thesis advisor) / Edwards, Michael C. (Committee member) / Kenrick, Douglas T. (Committee member) / Arizona State University (Publisher)
Created2020