Relevant bibliographies by topics / Big five personality traits

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  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Big five personality traits'

Author: Grafiati
Published: 4 June 2021
Last updated: 26 April 2022

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Journal articles on the topic "Big five personality traits"

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Zhou, Jingli. "THE BIG FIVE FACTORS AND PERSONALITY TRAITS." Journal of Psychology and Sociology 65, no. 2 (2018): 140–45. http://dx.doi.org/10.26577/jpss-2018-2-658.

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Nighute, Sunita, and Sadawarte Sahebrao. "Big Five Personality Traits and Gender Difference." International Physiology 4, no. 2 (2016): 57–61. http://dx.doi.org/10.21088/ip.2347.1506.4216.3.

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De Raad, Boele. "Five Big, Big Five Issues." European Psychologist 3, no. 2 (June 1998): 113–24. http://dx.doi.org/10.1027/1016-9040.3.2.113.

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This article discusses the rationale, content, structure, status, and cross-cultural assessment of the Big Five trait factors, focusing on topics of dispute and misunderstanding. Taxonomic restrictions of the original Big Five forerunner, the “Norman Five,” are discussed, and criticisms regarding the lexical hypothesis are refuted. The main issue of the psycholexical approach, namely, coverage of the trait domain, is elaborated upon, and the logic of the circumplexical structuring of the trait variables is summarized. A distinction is made between the common status of the Big Five approach, with a description of the competing positions of the Big Five model and other personality models, and the particular status of the Big Five approach, including its role as a general communication medium of personality traits. Finally, a review of recent, psychometrically based comparisons among different taxonomies is provided, lending support to the Big Five model as the main working hypothesis, on the one hand, but also showing discrepancies between languages, particularly as regards Factor V.
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Jirásek, Michal, and František Sudzina. "Big Five Personality Traits and Creativity." Quality Innovation Prosperity 24, no. 3 (November 30, 2020): 90. http://dx.doi.org/10.12776/qip.v24i3.1509.

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<p><strong>Purpose:</strong> Personality traits represent an important driver of creativity. Several studies linked individual personality traits and creativity, yet in most cases, the literature provides contradictory insights. In this study, we quasi-replicate prior studies using a new sample to assess the reliability of previous research. Furthermore, we explore the topic in greater detail, as we also study the relationship of creativity with personality facets, a more fine-grained alternative.</p><p><strong>Methodology/Approach:</strong> The study uses a survey-based sample of students from Denmark. To measure personality traits and facets, we asked respondents to fill 44 items Big Five Personality Inventory. We measured creativity using three items from the HEXACO-60 personality inventory. The data were analyzed using generalized least squares models with gender as a control.</p><p><strong>Findings:</strong> In line with the previous literature, our research showed that Openness to Experience is positively related to creativity. We found similar, yet statistically weaker evidence for the relationship of Extraversion and creativity. In contrast to most of the previous findings, we also reported a negative relationship between Conscientiousness and creativity.</p><p><strong>Research Limitation/Implication:</strong> Our research contributes to the topic of the relationship between personality traits and creativity. Some of the relationships fall into the area where the literature is not coherent. We propose that the explanation may stem from the too broad formulation of personality traits, and we partially show that using personality facets. For this reason, future research needs to go into detail of individual personality traits.</p><strong>Originality/Value of paper:</strong> The paper provides further insight into the relationship between personality and creativity.
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Gulgule, Radhika, Priyanka Jagtap, and Dr Swati D. Wavhal. "Relationship between the Big Five Personality Traits and Aggression." International Journal of Scientific Research 3, no. 6 (June 1, 2012): 422–23. http://dx.doi.org/10.15373/22778179/june2014/142.

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Ogata, Kohske. "The Big Five Personality Traits of Maltreated Children." Japanese Journal of Personality 22, no. 1 (2013): 84–86. http://dx.doi.org/10.2132/personality.22.84.

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Nilugonda, Manisha, and Dr Karanam Madhavi. "A Survey on Big Five Personality Traits Prediction Using Tensorflow." E3S Web of Conferences 184 (2020): 01053. http://dx.doi.org/10.1051/e3sconf/202018401053.

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A personality trait is a specific pattern of thought, thinking, or performing that manages to be faithful over time and beyond essential places. The Big Five—Extraversion, Agreeableness, Conscientiousness, Neuroticism and Openness to Practice are a set of five broad, bipolar quality dimensions that establish the most extensively used design of personality construction. Earlier investigations revealed a growing interest in defining the personality and behavior of people in fields such as career development, personalized health assistance, counseling, mental disorder analysis, and the detection of physical diseases with personality shift symptoms. Modern methods of discovering the Big-Five personality types include completing a survey, that takes an impractical amount of time and cannot be used often. This paper provides a survey on detecting of big five personality traits based on facial features recognition using TensorFlow mechanism. And also, various methods to detect big five personality traits are discussed in this paper. Finally, the graph provides a comparison between various detection of big five personality traits on facial expressions.
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Tomšik, Robert, and Viktor Gatial. "CHOOSING TEACHING AS A PROFESSION: INFLUENCE OF BIG FIVE PERSONALITY TRAITS ON FALLBACK CAREER." Problems of Education in the 21st Century 76, no. 1 (February 15, 2018): 100–108. http://dx.doi.org/10.33225/pec/18.76.100.

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Personality plays a significant role in influencing motivation for choosing a perspective profession. As empirical evidence confirmed, personality traits conscientiousness, openness to experience, extraversion are in positive correlation with intrinsic motives for choosing teaching as a profession (in negative with personality trait neuroticism), and in negative correlation with extrinsic motivation and fallback career (in positive with personality trait neuroticism). The primary aim of research is to point out the importance of personality traits in career choices via detecting which personality traits are predictors of fallback career. In the research first grade university students (teacher trainees; N = 402) completed the Five Factor Inventory and SMVUP-4-S scale. As results show, Big Five personality traits are in correlation with fallback career and are a significant predictor of fallback career. The Big Five model together explained 17.4% of the variance in fallback career, where personality traits agreeableness, conscientiousness, openness to experience and neuroticism has been shown as a statistically significant predictor of fallback career of teacher trainees. Keywords: Big Five, career choice, fallback career, personality traits.
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Jackson, Joshua, David Condon, and Emorie Beck. "Age Differences in Personality Structure." Innovation in Aging 5, Supplement_1 (December 1, 2021): 562. http://dx.doi.org/10.1093/geroni/igab046.2158.

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Abstract Most investigations in the structure of personality traits do not adequately address age, as few studies look at the structure of personality traits a-theoretically, instead presupposing a theoretical structure e.g., Big Five. As a result, the relationship among indicators within a trait (coherence) are often highlighted but relationships across traits (differentiation) are not thoroughly examined. Using a large-scale sample of 369,151 individuals ranging in age from 14 to 90, the present study examines whether personality indicators show differential relationships as a function of age. Results indicate that coherence shows few changes across the lifespan, while differentiation weakens across adulthood into old age. These finding suggest that Big Five indicators only parallel the Big Five structure among young but not older adults. Thus, using standard Big Five personality trait assessments in older adults may, at best, not reflect reality and, at worse, undermine the predictive utility of personality traits.
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Najm, Najm Abood. "Big Five Trails: A Critical Review." Gadjah Mada International Journal of Business 21, no. 2 (August 26, 2019): 159. http://dx.doi.org/10.22146/gamaijb.34931.

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This study seeks to provide a broad and thorough review of the literature on the big five traits (BFT) and its major developments through a long history of conceptual and applied studies in many areas that have been conducted on large samples of individuals, groups and countries. The BFT is the most widely accepted and most prominent model to describe the structure of personality traits, so this study sought to identify them in order to achieve a better understanding as well as for consideration by researchers in their future studies. This review focused on the eight key observations related to the BFT. These observations are as follows: meaning of the traits; the history of the BFT model; unity or hierarchy of traits; number of the traits; three perspectives on BFT; BFT questionnaires; BFT and performance; and the need for a sixth trait. The results of the study clearly confirmed that there are problems with universal models that tend to generalize a limited number of dimensions in order to interpret personality across borders and cultures. This generalization of the models is accompanied by the numerous observations and problems mentioned in the above eight points.
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Dissertations / Theses on the topic "Big five personality traits"

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Wuertz, Tara Rae. "Personality Traits Associated with Environmental Concern." ScholarWorks, 2015. https://scholarworks.waldenu.edu/dissertations/308.

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The 5 factor model of personality, including the traits of openness, conscientiousness, extraversion, agreeableness, and neuroticism, is a well-established theoretical model for describing how personality is structured. Hirsh (2010) demonstrated the big 5 personality traits, excluding extraversion, were correlated with pro-environmental attitudes. The purpose of this quantitative study was to replicate previous findings, and discover if there was a correlation with a person's pro-environmental behaviors and the big 5 personality traits. A total of 100 participants from an online participant pool completed a survey, which included the Environmental Concern Scale to measure concern and attitudes about the environment, and the General Ecological Behavior scale and the Self-Reported Pro-environmental Behavior Scale to measure participants' pro-environmental behaviors. Bivariate correlations and multiple regression were performed to determine the predictive relationship between personality traits and pro-environmental attitudes and behaviors. The trait of openness was significantly correlated with both pro-environmental attitudes, r(91) = .36, p < .01, and behaviors r(93) = .41, p < .01. Agreeableness was also significantly correlated with pro-environmental behaviors r(93) = .26, p <. 05. Multiple regression revealed that trait of openness was found to be a significant predictor of pro-environmental concern F(5, 87) = 3.69, p < .005, and behaviors F(5, 89) = 4.04, p < .002. The implications for positive social change include a better understanding for psychologists of which of the Big 5 personality traits are more likely to contribute in the participation preserving the environment.
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Puher, Meredith Anne. "The Big Five personality traits as predictors of adjustment to college." Click here for download, 2009. http://proquest.umi.com/pqdweb?did=1848731781&sid=1&Fmt=2&clientId=3260&RQT=309&VName=PQD.

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Baptiste, Bronti. "The Relationship Between the Big Five Personality Traits and Authentic Leadership." ScholarWorks, 2018. https://scholarworks.waldenu.edu/dissertations/4714.

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Effective leadership, ethical leadership, and leadership emergence have been extensively researched, but there remains a lack of research on the relationship between the big 5 personality traits and authentic leadership. This quantitative study was based on the empirical principles of the big 5 model and guided by the big 5 theory. In addition, this research asked if there was a relationship between the big 5 model and authentic leadership, and which combination of the 5 personality traits best predict authentic leadership. Fifty-five adult participants, employed in various corporations, were recruited from a convenience sample. They rated their leaders by completing an Authentic Leadership Questionnaire, the NEO Five-Factor Inventory-3, and a demographic questionnaire. Data were analyzed using multiple linear regression analyses and the results showed that the big 5 personality model explained 46.9% of the variance (F (5, 49) = 8.65, p < .001. Conscientiousness positively (β = 0.40, p = .003) correlated with authentic leadership while neuroticism was inversely (β = -0.04, p = .046) correlated. These 2 traits best predicted authentic leadership and provided the strongest correlation. Extraversion (β = -.04, p = .739) and openness-to-experience (β = .25, p = .080) were non-significant traits. In the Pearson Correlation analysis, agreeableness had a weak inverse correlation with authentic leadership, (r (53) = -0.30, p = .027), and contributed 8.9% of the variance in predicting authentic leadership. Conscientious leaders with low level of neuroticism, who practice authentic leadership, will bring about positive social change by reducing unethical practices, improving communication with employers, employees, and consumers, and improving employee morale.
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Perdue, Autumn. "The Relationship Between the Big Five Personality Traits and Paranormal Belief." Honors in the Major Thesis, University of Central Florida, 2013. http://digital.library.ucf.edu/cdm/ref/collection/ETH/id/1561.

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Studies into paranormal belief and the effects thereof have been gaining more attention. This study looked at the Big Five Personality Traits and how they could relate to belief in the paranormal, specifically which personality traits, if any, lended themselves to paranormal belief more than others. Four hundred forty-six college-age participants completed a Big Five survey as well as the Revised Paranormal Belief Scale. Results from a multiple regression showed a significant relationship between gender, religion, level of education achieved by the participant's mother, extraversion, and neuroticism (emotional stability) in relation to paranormal belief. Implications and elaboration of findings are discussed.
B.S.
Bachelors
Sciences
Psychology
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Norris, Christine F. "THE RELATIONSHIP BETWEEN PERSONALITY TRAITS AND CAREER ADAPTABILITY." OpenSIUC, 2016. https://opensiuc.lib.siu.edu/theses/1912.

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As it becomes more common for individuals to work in many different jobs throughout their lives, career adaptability becomes more important to understanding how individuals deal with this changing environment. This study examined the history and background of career adaptability and personality, as well as current research in the field. A total of 196 students from a large Midwestern university completed the Career Futures Inventory – Revised and a Big Five measure from the International Personality Item Pool to examine potential relationships between individual personality traits and career adaptability. Pearson correlations, linear and hierarchical regression analyses, and analysis of variance were used to analyze possible relationships. The results of the study indicated that 39.7% of career adaptability was accounted for by the Big Five personality traits. All five personality traits and career adaptability were moderately correlated and neuroticism, conscientiousness, and extraversion predicted participants’ overall career adaptability. Hierarchical regression analyses showed that career adaptability and career agency both predicted major satisfaction above and beyond personality. Key words: career adaptability, Big Five personality, major satisfaction
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Andersson, Michelle, and Therese Ohlsson. "PERSONALITY TRAITS AND WOMEN’S ALCOHOL CONSUMPTION." Thesis, Örebro universitet, Institutionen för juridik, psykologi och socialt arbete, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:oru:diva-82295.

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Women are a particularly vulnerable group when it comes to victimization while intoxicated. Personality traits and characteristics have been shown to have an impact on alcohol consumption. Previous research regarding the Big Five Personality Traits indicates higher drinking levels if a person scores high within “Extraversion” and “Neuroticism”, or scores low within the traits of “Agreeableness” and “Conscientiousness”. Concerning women, “Openness” seems to be the only personality related to alcohol consumption, but previous research is scarce. The main focus of previous research has been on the Big Five Personality Traits, people in general and alcohol consumption. Our focus was Swedish women, age range 18-50 years. We proposed that personality traits could affect alcohol consumption and because of the lack of research we specifically wanted to examine women. The results showed that personality traits have an impact on women’s alcohol consumption. In conclusion, women tend to drink more alcohol if they score high on “Extraversion” and “Neuroticism”, and, if they scored low on “Agreeableness” and “Conscientiousness”. This could mean that personality traits serves as risk factors for alcohol consumption. “Openness” and alcohol consumption showed no association. Future research should investigate how other factors combined with personality traits might affect alcohol consumption.
Kvinnor är en extra utsatt grupp när det kommer till viktimisering i samband med alkoholkonsumtion. Fortsättningsvis, vissa personlighetsdrag och karaktärsdrag har visats påverka alkoholkonsumtion. Tidigare forskning gällande Big-Five-teorin och dess personlighetsdrag indikerar vanligtvis högre nivåer av alkoholkonsumtion om en person skattar högre inom dragen “Utåtriktning” och “Känslomässig instabilitet”, eller skattar lägre inom dragen “Vänlighet” och “Målmedvetenhet”. Gällande kvinnor, draget “Öppenhet” verkar vara det enda som är kopplat till alkoholkonsumtion, men tidigare forskning är begränsad. Huvudfokuset inom tidigare forskning har varit på Big-Five-teorin, människor överlag och alkoholkonsumtion, vi ville därmed specifikt undersöka kvinnliga vanor. Vårt fokus har legat på svenska kvinnor i åldrarna 18- 50 år. Vi menade att personlighetsdrag kunde ha en påverkan på alkoholkonsumtion och ville undersöka specifikt kvinnor vad gäller detta då befintlig forskning ansågs bristfällig. Resultatet visade att olika personlighetsdrag påverkar alkoholkonsumtionen hos kvinnor. Sammanfattningsvis, kvinnor tenderar att dricka mer alkohol om de skattar högt inom “Utåtriktning” och “Känslomässig instabilitet”, och om de skattar lågt inom “Vänlighet” och “Målmedvetenhet”, vilket skulle kunna innebära att olika personlighetsdrag fungerar som riskfaktorer för alkoholkonsumtion. Dock visade “Öppenhet” inte på något samband med alkoholkonsumtion. Framtida forskning bör undersöka hur eventuellt andra faktorer kombinerat med personlighetsdrag kan ha en effekt på alkoholkonsumtion.
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Lau, Katherine S. L. "Big Five Personality Traits, Pathological Personality Traits, and Psychological Dysregulation: Predicting Aggression and Antisocial Behaviors in Detained Adolescents." ScholarWorks@UNO, 2013. http://scholarworks.uno.edu/td/1747.

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This study tested the utility of three different models of personality, namely the social and personality model, the pathological personality traits model, and the psychological dysregulation model, in predicting overt aggression, relational aggression, and delinquency in a sample of detained boys (ages 12 to 18; M age = 15.31; SD = 1.16). Results indicated that the three personality approaches demonstrated different unique associations with aggression and delinquency. The psychological dysregulation approach, composed of behavioral dysregulation, emotional dysregulation, and cognitive dysregulation, emerged as the overall best predictor of overt aggression, relational aggression, and delinquency. After controlling for the Big Five personality traits, psychological dysregulation accounted for significant variance in overt aggression and delinquency, but not relational aggression. After controlling for callous-unemotional traits and narcissistic traits, psychological dysregulation also accounted for significant variance in overt aggression, relational aggression, and delinquency. Psychological dysregulation did not account for significant variance in aggression or delinquency after controlling for borderline traits. The pathological personality traits approach, comprised of callous-unemotional traits, narcissistic traits, and borderline traits performed second best. In particular, within this approach borderline traits accounted for the most unique variance, followed by narcissistic traits, then callous-unemotional traits. Borderline traits accounted for significant variance in overt aggression, relational aggression, and delinquency when controlling for the Big Five traits, but not after controlling for psychological dysregulation. Narcissistic traits only accounted for significant variance in overt aggression and relational aggression after controlling for the Big Five personality traits, but not after controlling for psychological dysregulation. CU traits only accounted for significant variance in overt aggression after controlling for the Big Five personality traits, but not after controlling for psychological dysregulation. The social and personality model, represented by the Big Five personality traits accounted for the least amount of variance in the prediction of aggression and delinquency, on its own, and when pitted against the other two personality approaches. The exception was that the Big Five personality traits accounted for significant variance in relational aggression beyond narcissistic traits, as well as psychological dysregulation. These findings have implications for assessment and intervention with aggressive and antisocial youth.
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Torrance, Tracy A. "Music Ensemble Participation: Personality Traits and Music Experience." Scholar Commons, 2017. http://scholarcommons.usf.edu/etd/7100.

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The personality of musicians, artists, and other creative persons is of considerable interest to researchers and educators who seek to identify traits associated with musical behaviors. Personality traits can influence music behaviors such as instrument choice, ensemble choice, practice habits, and musical experience, which may contribute to continued music participation. The purpose of this study is to explore the relationships between personality type, music ensemble section, instrument choice (vocal or instrumental), and musical experience in college students and individuals who choose to continue participation after college. Few studies have concentrated on personality characteristics of ensemble members at the collegiate level and after formal education ceases. This is particularly relevant as personality characteristics may not be stable with age. This study examined the following questions: 1) To what extent do personality traits (Agreeableness, Conscientiousness, Extroversion, Neuroticism, and Openness to Experience) relate to ensemble choice (instrumental, vocal no musical ensemble participation) and gender?; and 2) To what extent do personality traits (Agreeableness, Conscientiousness, Extroversion, Neuroticism, and Openness to Experience) relate to ensemble section (e.g., brass, alto voice)? Participants were given a survey containing demographic questions and the Big Five Personality Inventory IPIP (Goldberg, 1992). Results showed that vocalists scored higher in Extroversion and Agreeableness compared to instrumentalists, and Instrumentalists scored higher in Neuroticism than vocalists. These results are consistent with previous research findings. This study has many implications for ensemble directors, such as rehearsal structure and repertoire choice. Music educators could also benefit from this knowledge when developing lesson plans and group assignments. Understanding different personality traits would also help ensemble members with communication within the ensemble.
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Bergsten, August. "Personality Traits and Ad-block Use : A descriptive investigation of personality traits among ad-block users." Thesis, Luleå tekniska universitet, Institutionen för ekonomi, teknik, konst och samhälle, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-85375.

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Advertisements have been in digital media for most of its lifetime. They have, however, been increasing with the years and more people are finding the number of advertisements to be excessive. Online users have therefore taken to avoiding advertisements by installing ad-blockers. There have been multiple studies on how ad-blockers work and why people use them. There have also been studies on which demographics mostly use ad-blockers. Younger men are generally seen as the typical ad-block user. However, none have seen if certain personality traits are more common amongst ad-block users. The purpose of this research is therefore to investigate if there are any differences in personality traits amongst ad-block users and non-ad-block users. The Big Five Inventory with 10-questions (BFI-10) personality test is used in an online survey to get an understanding of participants ad-block usage and personality traits. The personality traits that stood out were among females ad-block users with the personality traits of extraversion and neuroticism. The purpose of the study is to indicate a possible way for advertisers to prohibit their message to fall on uninterest and ad-avoiding recipients, and to provide some insights regarding ad-block user segmentation among Swedish ad-block users.
Reklamer har funnits i digitala medier i stort sett hela dess livstid. De har däremot ökat med åren och fler finner att antalet reklamer är överdrivet. Online användare har därför börjat undvika reklam genom att installera ad-blockers. Flertal studier har gjort på hur ad-blockers fungerar och varför de används. Det har även gjorts studier på vilken demografi som mestadels använder ad-block. Unga män är generellt det som ses som den typiska ad-block användaren.Ingen har däremot forskat på om något särskilt personlighetsdrag är vanligare bland ad-blockanvändare. Syftet med denna forskning är därför att utforska om det finns några skillnader i personlighetsdrag mellan ad-blockanvändare och användare utan ad-block. Personlighets testet,The Big Five Inventory bestående av 10 frågor (BFI-10), används i en online undersökning för att få en förståelse om deltagares ad-block användande och deras personlighetsdrag. Personlighetsdragen som stod ut var bland kvinnliga ad-blockanvändare extraversion och neurotisicm. Syftet med studien är att ange ett möjligt sätt för annonsörer att undvika att deras meddelande faller på ointresserade och reklamundvikande mottagare, och att ge insikt gällandesegmentering av ad-blockanvändare bland Svenska ad-blockanvändare.
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Lee, Meghan. "The Big Five personality traits and maternal gatekeeping at the transition to parenthood." Connect to resource, 2010. http://hdl.handle.net/1811/45471.

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Books on the topic "Big five personality traits"

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1952-, Howard Jane Mitchell, ed. The owner's manual for personality at work: How the big five personality traits affect performance, communication, teamwork, leadership, and sales. Atlanta, GA: Bard Press, 2000.

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The big five personality factors: The psycholexical approach to personality. Seattle: Hogrefe & Huber, 2000.

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Pearce, Graham J. Relationships between big-five personality factors and illness,and occupational success (job status and salary). Manchester: UMIST, 1998.

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Marsh, T. W. The influence of personality on organizational outcome: An investigation of a general disposition to satisfaction and commitment,`Big Five' theory and congruence. Manchester: UMIST, 1993.

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Shiner, Rebecca L., and Colin G. DeYoung. The Structure of Temperament and Personality Traits. Edited by Philip David Zelazo. Oxford University Press, 2013. http://dx.doi.org/10.1093/oxfordhb/9780199958474.013.0006.

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In this chapter, we offer a developmental perspective on temperament and personality traits from early childhood through adulthood. First, we address the relationship between temperament and personality and the methods used to ascertain the structure of traits in these two research traditions. We argue that the temperament and personality traditions provide different ways of describing the same basic traits. Second, we describe the current status of the most prominent temperament models and the Big Five personality trait model. Third, we articulate a structural model that integrates contemporary findings on temperament and personality traits from early childhood through adulthood. Fourth, we discuss current research on the psychological and biological processes that underlie individual differences in the Big Five traits in childhood and adulthood. This is an exciting time in the study of personality development, in part because of the marked progress in uncovering the basic structure of traits across the lifespan.
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Allen, Timothy A., and Colin G. DeYoung. Personality Neuroscience and the Five Factor Model. Edited by Thomas A. Widiger. Oxford University Press, 2016. http://dx.doi.org/10.1093/oxfordhb/9780199352487.013.26.

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Personality psychology seeks both to understand how individuals differ from one another in behavior, motivation, emotion, and cognition and to explain the causes of those differences. The goal of personality neuroscience is to identify the underlying sources of personality traits in neurobiological systems. This chapter reviews neuroscience research on the traits of the Five Factor Model (the Big Five: Extraversion, Neuroticism, Openness/Intellect, Conscientiousness, and Agreeableness). The review emphasizes the importance of theoretically informed neuroscience by framing results in light of a theory of the psychological functions underlying each of the Big Five. The chapter additionally reviews the various neuroscientific methods available for personality research and highlights pitfalls and best practices in personality neuroscience.
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The Owners Manual For Personality At Work How The Big Five Personality Traits Affect Performance Communication Teamwork Leadership And Sales. Center for Applied Cognitive Studies (Centacs, 2010.

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Martin, Jeffrey J. Personality. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780190638054.003.0025.

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Personality is typically thought to be stable and possess consistency over time and across situations. Personality is also referred to as individual differences or distinctiveness. The study of personality has a long history in psychology, and after a lull in sport psychology research on personality, it has become more prevalent in research with able-bodied athletes and athletes with disabilities. This chapter discusses the history of personality research in sport psychology. The most common personality model, the Big Five factors, used in research today is explained and the five factors defined. Researchers have also examined personality-trait-like individual differences (PTLID) such as grit, hardiness, resilience, sensation seeking, and perfectionism. The chapter addresses how an acquired disability has the potential to change certain facets of personality while other personality factors can help athletes cope with an acquired disability and maintain their mental health.
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Raad, Boele De. The Big Five Personality Factors. Hogrefe & Huber Publishing, 2000.

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Pelican, Kira-Anne. The Science of Writing Characters. Bloomsbury Publishing Plc, 2020. http://dx.doi.org/10.5040/9781501357213.

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The Science of Writing Characters is a comprehensive handbook to help writers create compelling and psychologically-credible characters that come to life on the page. Drawing on the latest psychological theory and research, ranging from personality theory to evolutionary science, the book equips screenwriters and novelists with all the techniques they need to build complex, dimensional characters from the bottom up. Writers learn how to create rounded characters using the 'Big Five' dimensions of personality and then are shown how these personality traits shape action, relationships and dialogue. Throughout The Science of Writing Characters, psychological theories and research are translated into handy practical tips, which are illustrated through examples of characters in action in well-known films, television series and novels, ranging from Three Billboards Outside Ebbing Missouri and Game of Thrones to The Bonfire of the Vanities and The Goldfinch. This very practical approach makes the book an engaging and accessible companion guide for all writers who want to better understand how they can make memorable characters with the potential for global appeal.
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Book chapters on the topic "Big five personality traits"

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Malik, Nidhi, and Ashwin Balaji. "Predicting the Big-Five Personality Traits from Handwriting." In Advances in Intelligent Systems and Computing, 225–37. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-6067-5_25.

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Hima, P., and M. Shanmugam. "Big-Five Personality Traits Based on Four Main Methods." In Communications in Computer and Information Science, 726–34. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-9187-3_65.

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Nilugonda, Manisha, Karanam Madhavi, and Krishna Chythanya Nagaraju. "Big Five Personality Traits Prediction Using Deep Convolutional Neural Networks." In Communications in Computer and Information Science, 446–55. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-3660-8_42.

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Srinivasan, Sujatha, and K. R. Ananthapadmanaban. "Intelligent Agent-Based Organization for Studying the Big Five Personality Traits." In Intelligent Computing and Innovation on Data Science, 81–89. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-3284-9_10.

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Yu, Yu, Yao Chen, and Qinfen Shi. "Big Five Personality Traits and Knowledge Flow in University-Industry Collaborative Innovation." In Strategy and Performance of Knowledge Flow, 49–69. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-77926-3_4.

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Visser, Beth A. "Narcissism and the Big Five/HEXACO Models of Personality." In Handbook of Trait Narcissism, 205–12. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-92171-6_22.

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Vinciarelli, Alessandro. "Social Perception in Machines: The Case of Personality and the Big-Five Traits." In Toward Robotic Socially Believable Behaving Systems - Volume II, 151–64. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-31053-4_9.

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Sahinidis, Alexandros G., Panagiotis A. Tsaknis, Eleni Gkika, and Dimitris Stavroulakis. "The Influence of the Big Five Personality Traits and Risk Aversion on Entrepreneurial Intention." In Strategic Innovative Marketing and Tourism, 215–24. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-36126-6_24.

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Woodward, Ian C., Samah Shaffakat, and Vincent H. Dominé. "Exploring the Reservoirs of Drivers and Blockers (Conscious and Unconscious): Big Five Personality Traits." In Exploring Leadership Drivers and Blockers, 41–49. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-6276-7_5.

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Zarnoufi, Randa, and Mounia Abik. "Big Five Personality Traits and Ensemble Machine Learning to Detect Cyber-Violence in Social Media." In Learning and Analytics in Intelligent Systems, 194–202. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-36778-7_21.

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Conference papers on the topic "Big five personality traits"

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Bai, Shuotian, Bibo Hao, Ang Li, Sha Yuan, Rui Gao, and Tingshao Zhu. "Predicting Big Five Personality Traits of Microblog Users." In 2013 IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI) and Intelligent Agent Technologies (IAT). IEEE, 2013. http://dx.doi.org/10.1109/wi-iat.2013.70.

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Yesu, Kolhandai, Shivam Shandilya, Naveen Rekharaj, Kumar Ankit, and Pinisetti Swami Sairam. "Big Five Personality Traits Inference from Five Facial Shapes Using CNN." In 2021 IEEE 4th International Conference on Computing, Power and Communication Technologies (GUCON). IEEE, 2021. http://dx.doi.org/10.1109/gucon50781.2021.9573895.

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Akbar, Kashifa, Yongsheng Jin, Minhas Mahsud, Muqarrab Akbar, Abdul Waheed, and Rizwana Amin. "Role of Big Five Personality Traits in Sustainable Consumption Behavior." In ICBDT 2020: 2020 3rd International Conference on Big Data Technologies. New York, NY, USA: ACM, 2020. http://dx.doi.org/10.1145/3422713.3422750.

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Aikens, Miles S., Jason B. Ku, and Christian Eckhardt. "Immersive Furnishing - Randomized Big Five Personality Traits Based Interior Layouts." In VRST '21: 27th ACM Symposium on Virtual Reality Software and Technology. New York, NY, USA: ACM, 2021. http://dx.doi.org/10.1145/3489849.3489919.

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Mitevska, Mayiana, and Paulina Tsvetkova. "THE MEDIATING EFFECT OF EMOTIONAL INTELLIGENCE ON THE BIG FIVE PERSONALITY TRAITS AND THE BIG SIX VOCATIONAL INTERESTS." In International Psychological Applications Conference and Trends. inScience Press, 2021. http://dx.doi.org/10.36315/2021inpact063.

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"A central theme in the present study is the assumption that the influence on the human behavior is mediated by different internal processes in the career choice. Emotional intelligence is defined as a variable which is a cause for the relationship between personality traits and the choice of a certain career. Three causal paths to the dependent variable were tracked – a path to the direct impact of the emotional intelligence on the career choice, a path to the influence of personality traits on the emotional intelligence as well as a path to the impact of personality traits on the career choice via the emotional intelligence. The aim of the study is to show the mediating role of emotional intelligence in the relationship between personality traits and career choice. A total of 100 Bulgarian secondary and university students (42 males and 58 females), aged 17-40 years, were included in the research. The following measures were used for the purpose of the study - Trait Emotional Intelligence Questionnaire – Short Form (TEIQue-SF), The Big five questionnaire and the Big six method for career choices. The Bulgarian version of the emotional intelligence questionnaire was translated and adapted for Bulgarian sociocultural context by Antonina Kardasheva (Kardasheva, 2012). The Big five questionnaire and the Big six method for career choices were adapted for Bulgarian conditions by S. Karabelyova (Karabelyova, 2015). The results showed that there was a direct positive impact of the emotional intelligence on the relationship between the enterprising type and conscientiousness, the artistic type and neuroticism and a negative impact on the relationship between the conventional type and extraversion. The conclusions derived from the study could be used for further psychological research in the field, as well as for enhancing the knowledge of one’s personality."
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Paunescu, Mihaela. "BIG FIVE PERSONALITY TRAITS SIGNIFICANTLY AFFECTING THE STUDENT�S ACADEMIC SUCCESS." In 4th SGEM International Multidisciplinary Scientific Conferences on SOCIAL SCIENCES and ARTS Proceedings. STEF92 Technology, 2017. http://dx.doi.org/10.5593/sgemsocial2017/32/s11.005.

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Rehman, Mobashar, Ahmad Kamil Mahmood, Rohani Salleh, and Aamir Amin. "Mapping job requirements of software engineers to Big Five Personality Traits." In 2012 International Conference on Computer & Information Science (ICCIS). IEEE, 2012. http://dx.doi.org/10.1109/iccisci.2012.6297193.

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Rosito, Asina C. "The Big Five Personality Traits, Self-regulated Learning, and Academic Achievement." In International Conference on Psychology in Health, Educational, Social, and Organizational Settings. SCITEPRESS - Science and Technology Publications, 2018. http://dx.doi.org/10.5220/0008591004690477.

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Sodiya, Adesina, H. O. D. Longe, Adebukola Onashoga, Oludele Awodele, and L. O. Omotosho. "An Improved Assessment of Personality Traits in Software Engineering." In InSITE 2007: Informing Science + IT Education Conference. Informing Science Institute, 2007. http://dx.doi.org/10.28945/3164.

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The success or otherwise of Software Engineering (SE) activities depends on the interactions among software engineers. Consequently, effective interactions depend largely on personality traits, which is a consistent and long-lasting tendency in behaviour. In psychology, five major trait factors (The Big Five Factors) have been generally used to assess personality of people. But, these might not be adequate in SE because of the required technical and cognitive skills. In this work, we first present Cognitive Ability as an additional factor that must be measured in order to adequately assess personality in SE. A research survey was conducted in order to capture personality requirements in SE. Based on the result of the survey conducted, we develop a model for assessing personality traits in SE. We then design an assessment technique that is based on responses to some well-structured and deductive on-line questions. The implementation of the model using Visual Basic resulted in a much-needed tool that can guide intending software engineers in choosing area of specialization in SE based on their personality traits.
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Avşar, Alkım Z., Ambrosio Valencia-Romero, and Paul T. Grogan. "The Effects of Locus of Control and Big Five Personality Traits on Collaborative Engineering Design Tasks With Negotiation." In ASME 2019 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2019. http://dx.doi.org/10.1115/detc2019-97311.

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Abstract Collaborative systems design is a human-centered activity dependent on individual decision-making processes. Personality traits have been found to influence individual behaviors and tendencies to compete or cooperate. This paper investigates the effects of Big Five and Locus of Control personality traits on negotiated outcomes of a simplified collaborative engineering design task. Secondary data includes results from short-form personality inventories and outcomes of pair design tasks. The data includes ten sessions of four participants each, where each participant completes a sequence of 12 pair tasks involving design space exploration and negotiation. Regression analysis shows a statistically-significant relationship between Big Five and Locus of Control and total individual value accumulated across the 12 design tasks. Results show the Big Five, aggregating extraversion, agreeableness, conscientiousness, neuroticism, and intellect/imagination to a single factor, negatively affects individual value and internal Locus of Control positively affects individual value. Future work should consider a dedicated experiment to refine understanding of how personality traits influence collaborative systems design and propose interventions to improve collaborative design processes.
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Reports on the topic "Big five personality traits"

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Lehberger, Mira, and Sven Grüner. (Why) Do farmers’ Big Five personality traits matter? – A systematic literature review. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, March 2022. http://dx.doi.org/10.37766/inplasy2022.3.0138.

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Review question / Objective: We aim at answering the following two research questions: 1. How and when do researchers use the Big 5 personality traits when focusing on farmers (research questions, measurement of personality traits)? 2. Do the Big 5 personality traits contribute to explaining (economic) behaviors of farmers? Eligibility criteria: We consider all studies published in the English language, which include primary empirical data from farmers and explicitly focus on the construct of the big five-personality traits and include a measurement of at least one big five-personality traits. We include studies from all available years and include all types of publications.
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Buck, Michael. Proactive Personality and Big Five Traits in Supervisors and Workgroup Members: Effects on Safety Climate and Safety Motivation. Portland State University Library, January 2000. http://dx.doi.org/10.15760/etd.268.

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Nagahi, Morteza, Raed Jaradat, Mohammad Nagahisarchoghaei, Ghodsieh Ghanbari, Sujan Poudyal, and Simon Goerger. Effect of individual differences in predicting engineering students' performance : a case of education for sustainable development. Engineer Research and Development Center (U.S.), May 2021. http://dx.doi.org/10.21079/11681/40700.

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The academic performance of engineering students continues to receive attention in the literature. Despite that, there is a lack of studies in the literature investigating the simultaneous relationship between students' systems thinking (ST) skills, Five-Factor Model (FFM) personality traits, proactive personality scale, academic, demographic, family background factors, and their potential impact on academic performance. Three established instruments, namely, ST skills instrument with seven dimensions, FFM traits with five dimensions, and proactive personality with one dimension, along with a demographic survey, have been administrated for data collection. A cross-sectional web-based study applying Qualtrics has been developed to gather data from engineering students. To demonstrate the prediction power of the ST skills, FFM traits, proactive personality, academic, demographics, and family background factors on the academic performance of engineering students, two unsupervised learning algorithms applied. The study results identify that these unsupervised algorithms succeeded to cluster engineering students' performance regarding primary skills and characteristics. In other words, the variables used in this study are able to predict the academic performance of engineering students. This study also has provided significant implications and contributions to engineering education and education sustainable development bodies of knowledge. First, the study presents a better perception of engineering students' academic performance. The aim is to assist educators, teachers, mentors, college authorities, and other involved parties to discover students' individual differences for a more efficient education and guidance environment. Second, by a closer examination at the level of systemic thinking and its connection with FFM traits, proactive personality, academic, and demographic characteristics, understanding engineering students' skillset would be assisted better in the domain of sustainable education.
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