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Jeff Potter - One of the best experts on this subject based on the ideXlab platform.
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the regional distribution and correlates of an entrepreneurship prone Personality Profile in the united states germany and the united kingdom a socioecological perspective
Journal of Personality and Social Psychology, 2013Co-Authors: Martin Obschonka, Eva Schmittrodermund, Rainer K Silbereisen, Samuel D Gosling, Jeff PotterAbstract:In recent years the topic of entrepreneurship has become a major focus in the social sciences, with renewed interest in the links between Personality and entrepreneurship. Taking a socioecological perspective to psychology, which emphasizes the role of social habitats and their interactions with mind and behavior, we investigated regional variation in and correlates of an entrepreneurship-prone Big Five Profile. Specifically, we analyzed Personality data collected from over half a million U.S. residents (N = 619,397) as well as public archival data on state-level entrepreneurial activity (i.e., business-creation and self-employment rates). Results revealed that an entrepreneurship-prone Personality Profile is regionally clustered. This geographical distribution corresponds to the pattern that can be observed when mapping entrepreneurial activity across the United States. Indeed, the state-level correlation (N = 51) between an entrepreneurial Personality structure and entrepreneurial activity was positive in direction, substantial in magnitude, and robust even when controlling for regional economic prosperity. These correlations persisted at the level of U.S. metropolitan statistical areas (N = 15) and were replicated in independent German (N = 19,842; 14 regions) and British (N = 15,617; 12 regions) samples. In contrast to these Profile-based analyses, an analysis linking the individual Big Five dimensions to regional measures of entrepreneurial activity did not yield consistent findings. Discussion focuses on the implications of these findings for interdisciplinary theory development and practical applications.
Marc Brysbaert - One of the best experts on this subject based on the ideXlab platform.
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do students with dyslexia have a different Personality Profile as measured with the big five
PLOS ONE, 2013Co-Authors: Wim Tops, Ellen Verguts, Maaike Callens, Marc BrysbaertAbstract:Background: Few studies are available about the Personality Profile of higher education students with dyslexia and to which extent this could be any different from their non-dyslexic peers. Aims and Sample(s): To obtain empirical evidence, we compared the Personality Profile of a group of 100 Dutch-speaking students with dyslexia with that of a control group of 100 students without learning disabilities. Methods: The NEO-PI-R based on the Big Five in Personality research was used. Results and Conclusions: Our study showed no differences in the Personality between both groups. This agrees with a recent meta-analysis of English findings (Swanson & Hsieh, 2009), suggesting that students with dyslexia do not perceive themselves differently than their non-dyslexic peers. Practical implications and directions for future research are considered.
Wim Meeus - One of the best experts on this subject based on the ideXlab platform.
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Hypermaturity and Immaturity of Personality Profiles in Adolescents
European Journal of Personality, 2012Co-Authors: Theo A. Klimstra, William W. Hale, Quinten A. W. Raaijmakers, Wim MeeusAbstract:Five-year longitudinal data on a cohort of early to middle adolescents (N = 923) and a cohort of middle to late adolescents (N = 390) were used to examine the correlates of hypermaturity (i.e. 12-year-olds with a Personality Profile resembling the Profile of an average 20-year-old) and immaturity (i.e. 20-year-olds with a Personality Profile resembling the Profile of an average 12-year-old) of Personality. Analyses revealed that girls with high levels of hypermaturity exhibited high levels of internalizing problem behaviour and conflict with parents, while hypermaturity in boys was only associated with internalizing problems. Immature girls had low levels of anxiety and high levels of minor delinquency, whereas immature boys reported low levels of anxiety and high levels of physical maturity. These findings suggest that off-time Personality development is an interesting concept deserving further exploration. Copyright © 2011 John Wiley & Sons, Ltd.
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Longitudinal associations between Personality Profile stability and adjustment in college students: distinguishing among overall stability, distinctive stability, and within-time normativeness.
Journal of personality, 2010Co-Authors: Theo A. Klimstra, Koen Luyckx, William W. Hale, Luc Goossens, Wim MeeusAbstract:In the present study, longitudinal associations of 3 aspects of Personality Profile stability (i.e., overall stability, distinctive stability, and within-time normativeness) with 3 adjustment measures (i.e., depressive symptoms, self-esteem, and delinquency) were examined, using 4 waves of longitudinal data on a Belgian college sample (N=565). Longitudinal path models revealed strong longitudinal associations between adjustment and overall stability. Subsequent analyses showed that it is not the degree to which one's Personality Profile consistently diverges from the average Personality Profile within a population (i.e., distinctive stability) that is related to adjustment but the degree to which a Personality Profile of an individual matches the average Personality Profile within the sample at a certain point in time (i.e., within-time normativeness). The current study thereby underscores the importance of distinguishing normativeness and distinctiveness when examining Personality Profile stability.
Martin Obschonka - One of the best experts on this subject based on the ideXlab platform.
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Big data methods, social media, and the psychology of entrepreneurial regions: capturing cross-county Personality traits and their impact on entrepreneurship in the USA
Small Business Economics, 2019Co-Authors: Martin Obschonka, Neil Lee, Johannes C. Eichstaedt, Andrés Rodríguez-pose, Tobias EbertAbstract:There is increasing interest in the potential of artificial intelligence and Big Data (e.g., generated via social media) to help understand economic outcomes. But can artificial intelligence models based on publicly available Big Data identify geographical differences in entrepreneurial Personality or culture? We use a machine learning model based on 1.5 billion tweets by 5.25 million users to estimate the Big Five Personality traits and an entrepreneurial Personality Profile for 1772 US counties. The Twitter-based Personality estimates show substantial relationships to county-level entrepreneurship activity, accounting for 20% (entrepreneurial Personality Profile) and 32% (Big Five traits) of the variance in local entrepreneurship, even when controlling for other factors that affect entrepreneurship. Whereas more research is clearly needed, our findings have initial implications for research and practice concerned with entrepreneurial regions and eco-systems, and regional economic outcomes interacting with local culture. The results suggest, for example, that social media datasets and artificial intelligence methods have the potential to deliver comparable information on the Personality and culture of regions than studies based on millions of questionnaire-based Personality tests.
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the regional distribution and correlates of an entrepreneurship prone Personality Profile in the united states germany and the united kingdom a socioecological perspective
Journal of Personality and Social Psychology, 2013Co-Authors: Martin Obschonka, Eva Schmittrodermund, Rainer K Silbereisen, Samuel D Gosling, Jeff PotterAbstract:In recent years the topic of entrepreneurship has become a major focus in the social sciences, with renewed interest in the links between Personality and entrepreneurship. Taking a socioecological perspective to psychology, which emphasizes the role of social habitats and their interactions with mind and behavior, we investigated regional variation in and correlates of an entrepreneurship-prone Big Five Profile. Specifically, we analyzed Personality data collected from over half a million U.S. residents (N = 619,397) as well as public archival data on state-level entrepreneurial activity (i.e., business-creation and self-employment rates). Results revealed that an entrepreneurship-prone Personality Profile is regionally clustered. This geographical distribution corresponds to the pattern that can be observed when mapping entrepreneurial activity across the United States. Indeed, the state-level correlation (N = 51) between an entrepreneurial Personality structure and entrepreneurial activity was positive in direction, substantial in magnitude, and robust even when controlling for regional economic prosperity. These correlations persisted at the level of U.S. metropolitan statistical areas (N = 15) and were replicated in independent German (N = 19,842; 14 regions) and British (N = 15,617; 12 regions) samples. In contrast to these Profile-based analyses, an analysis linking the individual Big Five dimensions to regional measures of entrepreneurial activity did not yield consistent findings. Discussion focuses on the implications of these findings for interdisciplinary theory development and practical applications.
Daphne Rodrigues - One of the best experts on this subject based on the ideXlab platform.
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a big five Personality Profile of the adaptor and innovator
Journal of Creative Behavior, 2002Co-Authors: Ng Aik Kwang, Daphne RodriguesAbstract:This study explored the relationship between two creative styles (adaptor and innovator) and the Big Five Personality traits (extraversion, agreeableness, conscientiousness, neuroticism, and openness to experience). 164 teachers from 3 secondary and 2 primary schools in Singapore completed a self-report questionnaire, which consisted of the Kirton Adaption-Innovation Inventory and the NEO-Five Factor Inventory. It was found that adaptors were significantly more conscientious than innovators, while innovators were significantly more extraverted and open to experience than adaptors. No significant differences were found between adaptors and innovators in neuroticism and agreeableness. The study also revealed a meaningful pattern of relationships between the Big Five Personality traits and the three facet scales of the KAI. Specifically, Sufficiency of Originality was negatively correlated with Openness to Experience and Extraversion; Rule Governance was positively correlated with conscientiousness but negatively correlated with openness to experience; Efficiency was positively correlated with conscientiousness. The overall findings supported the fundamental contention that different creative styles were due to different combinations of Personality traits, with adaptors being more conscientious, while innovators being more extraverted and open to experience. These Personality-based differences in creative styles between adaptors and innovators had resulted in much social conflict between them. One way of resolving it is to make known the nature and value of different creative styles to these two different types of creators.
