Relevant bibliographies by topics / Big Five Personality Factors

Contents

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

Academic literature on the topic 'Big Five Personality Factors'

Author: Grafiati
Published: 4 June 2021
Last updated: 16 February 2022

Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles

Select a source type:

Consult the lists of relevant articles, books, theses, conference reports, and other scholarly sources on the topic 'Big Five Personality Factors.'

Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.

You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.

Journal articles on the topic "Big Five Personality Factors"

1

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.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

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.

Full text
Abstract:
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.
APA, Harvard, Vancouver, ISO, and other styles
3

Biglu, Mohammad-Hossein, Mostafa Ghavami, and Sahar Dadashpour. "Big Five Personality Factors and Library Anxiety." Journal of Behavioral and Brain Science 06, no. 09 (2016): 377–85. http://dx.doi.org/10.4236/jbbs.2016.69036.

Full text
APA, Harvard, Vancouver, ISO, and other styles
4

De Raad, Boele, and Dean Peabody. "Cross‐culturally recurrent personality factors: analyses of three factors." European Journal of Personality 19, no. 6 (September 2005): 451–74. http://dx.doi.org/10.1002/per.550.

Full text
Abstract:
This study proceeds from an earlier one that examined the ‘Big Five’ factors (Peabody & De Raad, 2002). That study considered the substantive nature of five factors from six European psycholexical studies. The results supported Big Five Factor III (Conscientiousness), but Factors I (Extraversion) and II (Agreeableness) often split into two factors. Big Five Factors IV (Emotional Stability) and V (Intellect) often failed to appear in coherent form. The failures might cause the splits, with five factors required. For three factors, the splits might not occur, and the three large (‘Big Three’) factors could appear. The present study pursues this implication, using three factors from the same six studies. The factors that split are now generally unified. This supports the Big Three and not the Big Five. This result is generally confirmed for several additional studies. Copyright © 2005 John Wiley & Sons, Ltd.
APA, Harvard, Vancouver, ISO, and other styles
5

Ekehammar, Bo, and Nazar Akrami. "Personality and Prejudice: From Big Five Personality Factors to Facets." Journal of Personality 75, no. 5 (October 2007): 899–926. http://dx.doi.org/10.1111/j.1467-6494.2007.00460.x.

Full text
APA, Harvard, Vancouver, ISO, and other styles
6

Emelyanova, Yu G., A. A. Talalaev, V. P. Fralenko, V. M. Khachumov, and M. V. Khachumov. "АBOUT OF THE CORRELATION RELATIONS OF «BIG FIVE» PERSONALITY FACTORS." Научное обозрение. Педагогические науки (Scientific Review. Pedagogical Sciences), no. 1 2019 (2019): 59–65. http://dx.doi.org/10.17513/srps.1799.

Full text
APA, Harvard, Vancouver, ISO, and other styles
7

Paunonen, Sampo V., Michael C. Ashton, and Douglas N. Jackson. "Nonverbal assessment of the Big Five personality factors." European Journal of Personality 15, no. 1 (January 2001): 3–18. http://dx.doi.org/10.1002/per.385.

Full text
Abstract:
The Nonverbal Personality Questionnaire (NPQ) is an experimental, structured, nonverbal measure of 16 personality traits. Its items lack verbal content and, therefore, the inventory is useful for cross‐cultural research. Our goal is this research was to select a subset of the NPQ items to form a new nonverbal questionnaire based on the Five‐Factor Model of personality. We describe the construction of the Five‐Factor Nonverbal Personality Questionnaire (FF‐NPQ), and present data on its psychometric properties. These data include scale internal consistencies, intercorrelations, convergences with verbal measures of the Big Five factors, discriminant validity correlations, correlations with peer ratings, and ability to predict socially important behaviour criteria such as smoking and alcohol consumption. In a second study, we report on the psychometric properties of the FF‐NPQ in an independent sample of respondents from seven different countries. The utility of the new nonverbal inventory for cross‐cultural research is discussed. Copyright © 2001 John Wiley & Sons, Ltd.
APA, Harvard, Vancouver, ISO, and other styles
8

Aluja, Anton, and Luis F. García. "RELATIONSHIPS BETWEEN BIG FIVE PERSONALITY FACTORS AND VALUES." Social Behavior and Personality: an international journal 32, no. 7 (January 1, 2004): 619–25. http://dx.doi.org/10.2224/sbp.2004.32.7.619.

Full text
Abstract:
An analysis of principal components showed a robust structure of three factors formed by 25 of the 30 values studied. These factors were called Social Power, Order and Benevolence values. Those factors match with some of Schwartz's (1992) types of values. Sex differences and correlations between traits and values replicate other authors' findings. Path analysis results, performed separately for females and males, yielded a better fit for the female than for the male group. However, although there were no substantial differences with regard to the prediction of Surgency, Conscientiousness, Unfriendliness and Neuroticism, Order values (order, neatness, responsibility) for males and Social Power values (power, prestige, fame) for females predicted the Intellect trait. This pattern of results is discussed in relation to changes in gender roles.
APA, Harvard, Vancouver, ISO, and other styles
9

Fink, Bernhard, Nick Neave, John T. Manning, and Karl Grammer. "Facial symmetry and the ‘big-five’ personality factors." Personality and Individual Differences 39, no. 3 (August 2005): 523–29. http://dx.doi.org/10.1016/j.paid.2005.02.002.

Full text
APA, Harvard, Vancouver, ISO, and other styles
10

Chew, Kia Hong Peter, and Denise B. Dillon. "Statistics Anxiety and the Big Five Personality Factors." Procedia - Social and Behavioral Sciences 112 (February 2014): 1177–86. http://dx.doi.org/10.1016/j.sbspro.2014.01.1282.

Full text
APA, Harvard, Vancouver, ISO, and other styles
More sources

Dissertations / Theses on the topic "Big Five Personality Factors"

1

Pettepit, Elyssa G. "Television and internet dependence and the big five personality factors /." View abstract, 2000. http://library.ctstateu.edu/ccsu%5Ftheses/1597.html.

Full text
Abstract:
Thesis (M.A.)--Central Connecticut State University, 2000.
Thesis advisor: Bradley Waite. " ... in fulfillment of the requirements for the degree of Master of Arts in [Psychology]." Includes bibliographical references (leaves 34-37).
APA, Harvard, Vancouver, ISO, and other styles
2

Brinkman, Craig. "The Big Five Personality Model and Motivation in Sport." Miami University / OhioLINK, 2013. http://rave.ohiolink.edu/etdc/view?acc_num=miami1375299442.

Full text
APA, Harvard, Vancouver, ISO, and other styles
3

Jaganathan, Sivakumar. "ON THE INCORPORATION OF THE PERSONALITY FACTORS INTO CROWD SIMULATION." Doctoral diss., University of Central Florida, 2007. http://digital.library.ucf.edu/cdm/ref/collection/ETD/id/4113.

Full text
Abstract:
Recently, a considerable amount of research has been performed on simulating the collective behavior of pedestrians in the street or people finding their way inside a building or a room. Comprehensive reviews of the state of the art can be found in Schreckenberg and Deo (2002) and Batty, M., DeSyllas, J. and Duxbury, E. (2003). In all these simulation studies, one area that is lacking is accounting for the effects of human personalities on the outcome. As a result, there is a growing emphasis on researching the effects of human personalities and adding the results to the simulations to make them more realistic. This research investigated the possibility of incorporating personality factors into the crowd simulation model. The first part of this study explored the extraction of quantitative crowd motion from videos and developed a method to compare real video with the simulation output video. Several open source programs were examined and modified to obtain optical flow measurements from real videos captured at sporting events. Optical flow measurements provide information such as crowd density, average velocity with which individuals move in the crowd, as well as other parameters. These quantifiable optical flow calculations provided a strong method for comparing simulation results with those obtained from video footage captured in real life situations. The second part of the research focused on the incorporation of the personality factors into the crowd simulation. Existing crowd models such as HelbingU-Molnár-Farkas-Vicsek (HMFV) do not take individual personality factors into account. The most common approach employed by psychologists for studying personality traits is the Big Five factors or dimensions of personality (NEO: Neuroticism, Extroversion, Openness, Agreeableness and Conscientiousness). iii In this research forces related to the personality factors were incorporated into the crowd simulation models. The NEO-based forces were incorporated into an existing HMFV simulated implemented in the MASON simulation framework. The simulation results were validated using the quantification procedures developed in the first phase. This research reports on a major expansion of a simulation of pedestrian motion based on the model (HMFV) by Helbing, D., I. J. Farkas, P. Molnár, and T. Vicsek (2002). Example of actual behavior such as a crowd exiting church after service were simulated using NEO-based forces and show a striking resemblance to actual behavior as rated by behavior scientists.
Ph.D.
Other
Engineering and Computer Science
Modeling and Simulation PhD
APA, Harvard, Vancouver, ISO, and other styles
4

Winter, Jessica L. "The Big Five Personality Characteristics of World of Warcraft Players." Thesis, University of North Texas, 2009. https://digital.library.unt.edu/ark:/67531/metadc9910/.

Full text
Abstract:
This study is a comparative analysis of the personality characteristics of a sample of World of Warcraft players (n = 147) and a large normative sample (n = 20,993). The 120-item International Personality Item Pool, based on the five factor model, is used. Independent t-tests were conducted and statistical significance was found for some factors; however, the effect sizes were small, indicating a limited practical difference between the two groups.
APA, Harvard, Vancouver, ISO, and other styles
5

Anderson, Kent W. "Personality Factors Associated with Negative Affect: Application of the "Big Five" Taxonomy to Depression and Anxiety." DigitalCommons@USU, 1994. https://digitalcommons.usu.edu/etd/3346.

Full text
Abstract:
The purpose of this study was to examine the patterns and discriminant utility of the five-factor model of personality ( "Big Five," consisting of neuroticism, extraversion, openness to experience, agreeableness, and conscientiousness factors) with depressed and anxious outpatients. One hundred two outpatients seeking services at a community mental health center in a small western community participated in the study. Subjects were 41 clients with a depressive disorder, 31 with an anxiety disorder, and 30 in a mixed clinical control group. Subjects completed the Neuroticism-Extraversion-Openness to Experience Five-Factor Inventory (NEO-FFI). Results indicate that both depressed and anxious clients score in the "very high" range on neuroticism and "low" on extraversion. However , neither of these two factors is useful in discriminating between depression and anxiety since their mean scores are essentially equivalent . Conscientiousness is the crucial variable that discriminates between depressed and anxious clients. The mean score for the anxiety group is in the "very low" range, significantly lower than the depressed group whose mean is in the "low-average" range. Openness to experience contributes mildly to discriminant utility, with the mean score of the depressed group in the "high-average" range and the mean score of the anxiety group in the "average" range. The agreeableness variable contributes minimally to the discriminant function.
APA, Harvard, Vancouver, ISO, and other styles
6

Lopez, Caroline J. "Personality and Leadership in Counselor Educators: The Big Five Factors, Transformational Leadership, and Transactional Leadership." Ohio University / OhioLINK, 2013. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1375727746.

Full text
APA, Harvard, Vancouver, ISO, and other styles
7

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.

Full text
Abstract:
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
APA, Harvard, Vancouver, ISO, and other styles
8

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

Full text
Abstract:
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.
APA, Harvard, Vancouver, ISO, and other styles
9

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.

Full text
Abstract:
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.
APA, Harvard, Vancouver, ISO, and other styles
10

Crostley, Jeremy T. "Mediational Roles of Personality Factors and Vengeful Rumination in the Development of Posttraumatic Stress Disorder." Thesis, University of North Texas, 2009. https://digital.library.unt.edu/ark:/67531/metadc11052/.

Full text
Abstract:
Considerable research has demonstrated a link between thoughts of revenge, or vengeful rumination, and the development of posttraumatic stress disorder (PTSD) symptoms, particularly in situations involving interpersonal trauma. Personality factors have been related to both vengefulness and PTSD. No study to date has simultaneously examined the unique contributions of vengefulness and personality factors in the development of PTSD symptoms. Therefore, the present study addressed these questions in an inpatient sample by comparing contributions of the Big Five personality factors and vengeful rumination to the development of PTSD symptoms through correlation, hierarchical regression, and omnibus regression analyses. Results showed that Neuroticism predicted PTSD symptoms better than other personality factors, that Neuroticism and Agreeableness predicted vengeful rumination in opposite directions, and that personality factors and vengeful rumination each added unique variance in the prediction of PTSD symptoms. Future directions and implications are discussed.
APA, Harvard, Vancouver, ISO, and other styles
More sources

Books on the topic "Big Five Personality Factors"

1

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

Find full text
APA, Harvard, Vancouver, ISO, and other styles
2

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

Find full text
APA, Harvard, Vancouver, ISO, and other styles
3

T, Costa Paul, ed. Personality in adulthood: A five-factor theory perspective. 2nd ed. New York: Guilford Press, 2003.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
4

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.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
5

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.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
6

Raad, Boele De. The Big Five Personality Factors. Hogrefe & Huber Publishing, 2000.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
7

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.

Full text
Abstract:
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.
APA, Harvard, Vancouver, ISO, and other styles
8

de Raad, Boele, and Boris Mlačić. The Lexical Foundation of the Big Five Factor Model. Edited by Thomas A. Widiger. Oxford University Press, 2015. http://dx.doi.org/10.1093/oxfordhb/9780199352487.013.12.

Full text
Abstract:
A dictionary is the tangible repository of the common stock of words, although dictionaries comprise at best 10% of the full lexicon. Part of the lexicon is made up of the words used to describe what people do and what people are like. The psycholexical approach to personality focuses on this subset of words and on its exploitation, or what can be said to be the glossary of personality. This chapter is concerned with the history of the psycholexical approach to personality description, from ancient history to the more recent efforts, albeit focusing in particular on its modern history. Psycholexical taxonomies from around the world will be considered, as well as taxonomies based on nouns, verbs, adverbs, and their combinations. Ongoing controversies, difficulties, and disputes regarding alternative psycholexical personality structures will be considered, as well as recommendations for future research.
APA, Harvard, Vancouver, ISO, and other styles
9

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

Full text
Abstract:
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.
APA, Harvard, Vancouver, ISO, and other styles
10

Graziano, William G., and Renée M. Tobin. Agreeableness and the Five Factor Model. Edited by Thomas A. Widiger. Oxford University Press, 2016. http://dx.doi.org/10.1093/oxfordhb/9780199352487.013.17.

Full text
Abstract:
Agreeableness is a summary label for individual differences in the motivation to maintain positive relations with others. Agreeableness is one of the major dimensions in the Big Five structural model of personality. It is also a major domain in the Five Factor Model of personality. This chapter provides an overview of the considerable body of research concerning the conceptualization, assessment, and etiology of Agreeableness with a focus on its six facets. It concludes with a discussion of alternative theoretical explanations for Agreeableness. In particular, an opponent process model that involves two competing motive systems is applied to the processes underlying Agreeableness.
APA, Harvard, Vancouver, ISO, and other styles
More sources

Book chapters on the topic "Big Five Personality Factors"

1

Poortinga, Ype H., Fons J. R. Vijver, and Dianne A. Hemert. "Cross-Cultural Equivalence of the Big Five." In The Five-Factor Model of Personality Across Cultures, 281–302. Boston, MA: Springer US, 2002. http://dx.doi.org/10.1007/978-1-4615-0763-5_14.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

Johnson, John A. "Big-Five Model." In Encyclopedia of Personality and Individual Differences, 474–90. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-319-24612-3_1212.

Full text
APA, Harvard, Vancouver, ISO, and other styles
3

Rammstedt, Beatrice, and Oliver P. John. "Big Five Inventory." In Encyclopedia of Personality and Individual Differences, 469–71. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-319-24612-3_445.

Full text
APA, Harvard, Vancouver, ISO, and other styles
4

Johnson, John A. "Big-Five Model." In Encyclopedia of Personality and Individual Differences, 1–16. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-28099-8_1212-1.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

Rammstedt, Beatrice, and Oliver P. John. "Big Five Inventory." In Encyclopedia of Personality and Individual Differences, 1–4. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-28099-8_445-1.

Full text
APA, Harvard, Vancouver, ISO, and other styles
6

Ekehammar, Bo, and Nazar Akrami. "Big Five Personality and Prejudice." In Encyclopedia of the Sciences of Learning, 452–54. Boston, MA: Springer US, 2012. http://dx.doi.org/10.1007/978-1-4419-1428-6_678.

Full text
APA, Harvard, Vancouver, ISO, and other styles
7

Petrakis, Panagiotis E., Kyriaki I. Kafka, Pantelis C. Kostis, and Dionysis G. Valsamis. "The Big Five Personality Characteristics." In Greek Culture After the Financial Crisis and the Covid-19 Crisis, 53–66. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-81018-4_4.

Full text
APA, Harvard, Vancouver, ISO, and other styles
8

dos Santos, Vitor Garcia, Ivandré Paraboni, and Barbara Barbosa Claudino Silva. "Big Five Personality Recognition from Multiple Text Genres." In Text, Speech, and Dialogue, 29–37. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-64206-2_4.

Full text
APA, Harvard, Vancouver, ISO, and other styles
9

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.

Full text
APA, Harvard, Vancouver, ISO, and other styles
10

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.

Full text
APA, Harvard, Vancouver, ISO, and other styles

Conference papers on the topic "Big Five Personality Factors"

1

Nan Jiang, Yue Chen, Kan Shi, Ye Liu, Yilong Xiao, Barry Watson, Judy Fleiter, Mark King, and Chen Chen. "Big-five personality factors affecting driving behaviors." In 2011 2nd IEEE International Conference on Emergency Management and Management Sciences (ICEMMS). IEEE, 2011. http://dx.doi.org/10.1109/icemms.2011.6015729.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

Jiang, Nan, Yilong Xiao, Yue Chen, Kan Shi, Barry Watson, Mark King, Judy Fleiter, Shaoyong Wang, and Liping Wang. "Big-Five Personality Factors Affecting Pedestrian Crossing Behaviors." In First International Conference on Transportation Information and Safety (ICTIS). Reston, VA: American Society of Civil Engineers, 2011. http://dx.doi.org/10.1061/41177(415)200.

Full text
APA, Harvard, Vancouver, ISO, and other styles
3

Tanasescu, Vlad, Christopher B. Jones, Gualtiero Colombo, Martin J. Chorley, Stuart M. Allen, and Roger M. Whitaker. "The Personality of Venues: Places and the Five-Factors ('Big Five') Model of Personality." In 2013 4th International Conference on Computing for Geospatial Research & Application (COM.Geo). IEEE, 2013. http://dx.doi.org/10.1109/comgeo.2013.12.

Full text
APA, Harvard, Vancouver, ISO, and other styles
4

S. Gawali, Chandrashekhar. "Influence of Caste, Gender and Socioeconomic status on Big five Personality factors." In Annual International Conference on Cognitive and Behavioral Psychology. Global Science & Technology Forum (GSTF), 2013. http://dx.doi.org/10.5176/2251-1865_cbp13.92.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

Pramodh, Kasula Chaithanya, and Y. Vijayalata. "Automatic personality recognition of authors using big five factor model." In 2016 IEEE International Conference on Advances in Computer Applications (ICACA). IEEE, 2016. http://dx.doi.org/10.1109/icaca.2016.7887919.

Full text
APA, Harvard, Vancouver, ISO, and other styles
6

Kuzmina, Yulia. "Bfq-Rb(Russian Brief): Short Big-Five Questionnaireto Measure Facets And Factors Of Personality." In ICPE 2018 - International Conference on Psychology and Education. Cognitive-Crcs, 2018. http://dx.doi.org/10.15405/epsbs.2018.11.02.37.

Full text
APA, Harvard, Vancouver, ISO, and other styles
7

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.

Full text
Abstract:
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.
APA, Harvard, Vancouver, ISO, and other styles
8

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.

Full text
Abstract:
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.
APA, Harvard, Vancouver, ISO, and other styles
9

Da Rocha Henriques, Felipe, Caio Christian da Rocha, Diogo Fagundes Pereira, and Andre Felipe de Almeida Monteiro. "A Preliminary Study on the Applied Machine Learning for Detection of the Predominant Factor of Big Five Personality Test." In Computer on the Beach. Itajaí: Universidade do Vale do Itajaí, 2020. http://dx.doi.org/10.14210/cotb.v11n1.p035-039.

Full text
Abstract:
Nowadays, the importance of mental health has become an increasinglyrelevant theme. Psychological assessments are part of thedaily life of clinical psychologists in order to identify possible issuesto be explored. Therefore, this work presents a preliminarystudy which aims to evaluate the accuracy of machine learningalgorithms for the detection of the predominant factor of big fivepersonality test. Real answers from a dataset were considered in thecomputational experiments, and two machine learning algorithmswere evaluated: the K-Nearest Neighbors (KNN) and the K-means.Results show that both algorithms could accurately detect the pedominantfactor of the big five test, and KNN obtained better resultsthan the other algorithm.
APA, Harvard, Vancouver, ISO, and other styles
10

"Personality and Online Shopping Outcomes: A Study of Young Adult Chinese Consumers [Abstract]." In InSITE 2018: Informing Science + IT Education Conferences: La Verne California. Informing Science Institute, 2018. http://dx.doi.org/10.28945/4050.

Full text
Abstract:
Aim/Purpose: This study focuses on the role of personality in online shopping through analyzing its relationship with customer reported shopping outcomes and their satisfaction. Background: Customer satisfaction and outcomes in online shopping have been well-documented. From different perspectives, past research has analysed factors related to customer satisfaction, and to outcomes to a lesser extent. Personality has also been found to be a factor relevant to the intention of online shopping. However, research has seldom investigated the role of personality in customer reported outcomes and their satisfaction with online shopping. Methodology: Quantitative data were obtained through an online questionnaire survey. The survey included questions about respondents’ satisfaction with their general online shopping experience. It also asked respondents to report the perceived outcomes of online shopping in terms of enjoyment, quality, savings, etc. Shoppers reported their personality using questions around Big Five Personality Traits. 384 Chinese living in China completely responded to the survey and were included in this study. Contribution: A research model is established that includes the respondents’ five personality traits, online shopping satisfaction, and outcomes of online shopping. Findings: Structural equation modelling analysis of the model shows that personality has direct relationship with customer satisfaction and their reported outcomes of online shopping, which in term influence shoppers’ future intention to shop online. Specifically, personality of agreement, extraversity, and neurotics are significantly related to online shopping outcomes, while only extraversity is significantly related to their satisfaction. Recommendations for Practitioners: For practitioners who work in online shopping, this study may help them understand how customers satisfaction is predetermined by their personality traits. Recommendation for Researchers: Researchers may find ways to help individuals understand and control consumers' personal behavior in online shopping. Impact on Society: This study may bring awareness of the importance of understanding personality traits for business and consumers in online shopping. Future Research: Future research may find ways to have influence on both business through their online consumer interface and on consumers through their behavior control.
APA, Harvard, Vancouver, ISO, and other styles

Reports on the topic "Big Five Personality Factors"

1

Johnson, Judith L. Racial and Gender Differences in the Five Factors of Personality within Military Samples. Fort Belvoir, VA: Defense Technical Information Center, March 2001. http://dx.doi.org/10.21236/ada389723.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

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.

Full text
APA, Harvard, Vancouver, ISO, and other styles
3

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.

Full text
Abstract:
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.
APA, Harvard, Vancouver, ISO, and other styles
You might also be interested in the extended bibliographies on the topic 'Big Five Personality Factors' for particular source types:
Journal articles Dissertations / Theses Books
We offer discounts on all premium plans for authors whose works are included in thematic literature selections. Contact us to get a unique promo code!

To the bibliography