scholarly journals Income and Ideology: How Personality Traits, Cognitive Abilities, and Education Shape Political Attitudes

Author(s):  
Rebecca Morton ◽  
Jean-Robert Tyran ◽  
Erik Wengström
2019 ◽  
Author(s):  
Annika Karinen ◽  
Joshua M. Tybur ◽  
Reinout E. de Vries

A broad literature indicates that pathogen, sexual, and moral disgust sensitivity relate to, among other things, political attitudes, moral condemnation, and symptoms of psychopathology. As such, instruments measuring disgust sensitivity have been widely used across subfields of psychology. Yet, surprisingly little work has examined whether self-reports in disgust sensitivity reflect systematic trait variation. Here, we present the first study to examine self-other agreement in pathogen, sexual, and moral disgust sensitivity. Romantic partners (n1 = 290), friends (n2 = 212) and acquaintances (n3 = 140) rated each other on these three domains of disgust sensitivity and on the HEXACO personality dimensions. Correlations between dyad partners’ self- and other-ratings were calculated to estimate the magnitude of self-other agreement. We found self-other agreement in all domains of disgust sensitivity (r’s of .36, .46, and .66 for moral, pathogen, and sexual disgust sensitivity, respectively), with this agreement only slightly inferred from personality perceptions (percentages mediated by HEXACO were 15%, 7%, and 33% for pathogen, sexual, and moral disgust sensitivity, respectively). These results suggest that pathogen, sexual, and moral disgust sensitivity reflect systematic trait variation that is detectable by others and distinct from broader personality traits.


PLoS ONE ◽  
2015 ◽  
Vol 10 (3) ◽  
pp. e0118106 ◽  
Author(s):  
Peter K. Hatemi ◽  
Brad Verhulst

2021 ◽  
Vol 11 (9) ◽  
pp. 1205
Author(s):  
Aiste Dirzyte ◽  
Aivaras Vijaikis ◽  
Aidas Perminas ◽  
Romualda Rimasiute-Knabikiene ◽  
Lukas Kaminskis ◽  
...  

Educational systems around the world encourage students to engage in programming activities, but programming learning is one of the most challenging learning tasks. Thus, it was significant to explore the factors related to programming learning. This study aimed to identify computer programming e-learners’ personality traits, self-reported cognitive abilities and learning motivating factors in comparison with other e-learners. We applied a learning motivating factors questionnaire, the Big Five Inventory—2, and the SRMCA instruments. The sample consisted of 444 e-learners, including 189 computer programming e-learners, the mean age was 25.19 years. It was found that computer programming e-learners demonstrated significantly lower scores of extraversion, and significantly lower scores of motivating factors of individual attitude and expectation, reward and recognition, and punishment. No significant differences were found in the scores of self-reported cognitive abilities between the groups. In the group of computer programming e-learners, extraversion was a significant predictor of individual attitude and expectation; conscientiousness and extraversion were significant predictors of challenging goals; extraversion and agreeableness were significant predictors of clear direction; open-mindedness was a significant predictor of a diminished motivating factor of punishment; negative emotionality was a significant predictor of social pressure and competition; comprehension-knowledge was a significant predictor of individual attitude and expectation; fluid reasoning and comprehension-knowledge were significant predictors of challenging goals; comprehension-knowledge was a significant predictor of clear direction; and visual processing was a significant predictor of social pressure and competition. The SEM analysis demonstrated that personality traits (namely, extraversion, conscientiousness, and reverted negative emotionality) statistically significantly predict learning motivating factors (namely, individual attitude and expectation, and clear direction), but the impact of self-reported cognitive abilities in the model was negligible in both groups of participants and non-participants of e-learning based computer programming courses; χ² (34) = 51.992, p = 0.025; CFI = 0.982; TLI = 0.970; NFI = 0.950; RMSEA = 0.051 [0.019–0.078]; SRMR = 0.038. However, as this study applied self-reported measures, we strongly suggest applying neurocognitive methods in future research.


2018 ◽  
Author(s):  
Emmanuel Kwasi Mensah ◽  
Vahid Jafari Sadeghi

<p>Paper develops propositions on the complementing role of entrepreneurial personality traits and cognitive abilities towards opportunity decisions under uncertainty </p><p><br></p><p><br></p><p><br></p><p><br></p>


AERA Open ◽  
2020 ◽  
Vol 6 (1) ◽  
pp. 233285841989788
Author(s):  
Janina Roloff ◽  
Uta Klusmann ◽  
Oliver Lüdtke ◽  
Ulrich Trautwein

The present study investigated to what degree teachers’ personality traits, cognitive abilities, and academic abilities (high school GPA), which were assessed at the end of high school as well as grades from the first and second state examinations of teacher education, predict later instructional quality. The study combined ratings of instructional quality from 3,768 German secondary school students and their 113 teachers with up to 10 years between assessment of teachers’ personality traits, cognitive abilities, as well as academic abilities at the end of high school and student ratings of instructional quality. Multilevel regression analyses revealed that agreeableness, high school GPA, and the second state examination grade predicted teachers’ instructional quality.


2019 ◽  
Vol 31 (2) ◽  
pp. e12682 ◽  
Author(s):  
Nasr A. I. Farooqi ◽  
Martina Scotti ◽  
Ally Yu ◽  
Jimin Lew ◽  
Patricia Monnier ◽  
...  

2017 ◽  
Vol 114 (25) ◽  
pp. 6527-6532 ◽  
Author(s):  
Markus Jokela ◽  
Tuomas Pekkarinen ◽  
Matti Sarvimäki ◽  
Marko Terviö ◽  
Roope Uusitalo

Although trends in many physical characteristics and cognitive capabilities of modern humans are well-documented, less is known about how personality traits have evolved over time. We analyze data from a standardized personality test administered to 79% of Finnish men born between 1962 and 1976 (n = 419,523) and find steady increases in personality traits that predict higher income in later life. The magnitudes of these trends are similar to the simultaneous increase in cognitive abilities, at 0.2–0.6 SD during the 15-y window. When anchored to earnings, the change in personality traits amounts to a 12% increase. Both personality and cognitive ability have consistent associations with family background, but the trends are similar across groups defined by parental income, parental education, number of siblings, and rural/urban status. Nevertheless, much of the trends in test scores can be attributed to changes in the family background composition, namely 33% for personality and 64% for cognitive ability. These composition effects are mostly due to improvements in parents’ education. We conclude that there is a “Flynn effect” for personality that mirrors the original Flynn effect for cognitive ability in magnitude and practical significance but is less driven by compositional changes in family background.


2012 ◽  
Vol 24 (3) ◽  
pp. 328-344 ◽  
Author(s):  
Brad Verhulst ◽  
Ryne Estabrook

Cross-sectional data from twins contain information that can be used to derive a test of causality between traits. This test of directionality is based upon the fact that genetic relationships between family members conform to an established structural pattern. In this paper we examine several common methods for empirically testing causality as well as several genetic models that we build on for the Direction of Causation (DoC) model. We then discuss the mathematical components of the DoC model and highlight limitations of the model and potential solutions to these limitations. We conclude by presenting an example from the personality and politics literature that has begun to explore the question whether or not personality traits cause people to hold specific political attitudes.


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