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Artykuły w czasopismach na temat "Five Factor Theory of Personality"

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Eggers, John H. "Five-Factor Theory of Personality". Journal of Private Equity 4, nr 1 (30.11.2000): 59–63. http://dx.doi.org/10.3905/jpe.2000.319978.

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McCrae, Robert R., i Angelina R. Sutin. "A Five–Factor Theory Perspective on Causal Analysis". European Journal of Personality 32, nr 3 (maj 2018): 151–66. http://dx.doi.org/10.1002/per.2134.

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Five–Factor Theory provides a broad but largely blank template for causal personality research. Within Five–Factor Theory, there are three major categories of questions: (1) how do biological structures and functions lead to trait levels? (2) how do traits and the environment give rise to acquired psychological institutions? and (3) how do personality characteristics interact with specific situations to determine behaviours and reactions? Both practical and ethical issues complicate the search for the causes of trait change. Causal explanations of the development of characteristic adaptations are likely to be incomplete, because there are many different ways in which the same adaptation may be acquired. Studies of the determinants of behaviour are usually left to social, educational, or clinical psychologists—although personality psychologists may make distinctive contributions by emphasizing the role of the individual in selecting and creating situations. A causal understanding of the functioning of the personality system is possible through the integration of many lines of evidence, but it is likely to take a very long time. In the meanwhile, personality psychologists may fruitfully pursue the identification of practical causes by which individuals with a given set of traits can optimize their adaptation. Copyright © 2018 European Association of Personality Psychology
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Borkenau, Peter. "Implicit Personality Theory and the Five-Factor Model". Journal of Personality 60, nr 2 (czerwiec 1992): 295–327. http://dx.doi.org/10.1111/j.1467-6494.1992.tb00975.x.

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Costa, Paul T., i Robert R. McCrae. "A Five-Factor Theory Perspective on the Rorschach". Rorschachiana 27, nr 1 (styczeń 2005): 80–100. http://dx.doi.org/10.1027/1192-5604.27.1.80.

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Many of the constructs the Rorschach is used to assess are related to personality traits included in the Five-Factor Model, but studies to date have not shown convergence between Rorschach and self-report measures of these traits. This poses a problem for the Rorschach, because recent research on the universality, stability, heritability, and consensual validity of traits demonstrate that self-report measures cannot be dismissed. In an effort to understand these issues, we examine the Rorschach from the perspective of Five-Factor Theory (FFT), a systems model of the person. FFT is compatible with the projective hypothesis, but would generally lead to the expectation that Rorschach signs and self-reports should be correlated. Where they are not, the validity of Rorschach measures of personality traits would need to be confirmed by demonstrations of their heritability, stability, and convergence with observer ratings. The Rorschach may be more useful when interpreted in the context of a global psychodynamic assessment. Clinicians who use the Rorschach should gather the data necessary to test its validity as a measure of personality traits and related constructs, and clinicians and researchers should consider the possible use of Rorschach responses in assessing dynamic processes.
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Andre, Rae. "Enhancing the practical application of Five-Factor personality theory". International Journal of Management Practice 4, nr 4 (2011): 360. http://dx.doi.org/10.1504/ijmp.2011.039206.

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Syed, Nida, Arfa Saeed i Muhammad Farrukh. "Organization Commitment and Five Factor Model of Personality: Theory Recapitulation". Journal of Asian Business Strategy 5, nr 8 (26.09.2015): 183–90. http://dx.doi.org/10.18488/journal.1006/2015.5.8/1006.8.183.190.

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Organizational commitment is one of the most popular psychological construct which plays a vital role in predicting work behavior. There are many approaches to study organizational commitment, and one of them is an individual difference approach. Since organizational commitment is one kind of job attitudes, and personality traits might predispose individual to experience raised or lowered levels of his or her organizational commitment. In connection to the previous studies, this research is aimed to examine the association among big five personality traits (FFM with dimensions of the organizational commitment. A questionnaire was adopted from the previous studies and a total number of 150 responses were gathered from the lecturer/supervisors working in public universities located in Lahore, Pakistan. The results of the research demonstrated that there is a significant relationship between FFM and organizational commitment dimensions. Furthermore, the results of stepwise regression analyses showed that conscientiousness and openness to experience are positively associated with affective commitment. Openness to experience is negatively linked to continuance commitment, extroversion, and neuroticism is negatively associated with normative commitment.
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Hohmuth, Arthur V. "Book Review: Personality in Adulthood: A Five-Factor Theory Perspective". Transactional Analysis Journal 36, nr 3 (lipiec 2006): 241–42. http://dx.doi.org/10.1177/036215370603600310.

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Sharma, R., i Surajit Saha. "RELATING BIG-FIVE FACTOR THEORY OF PERSONALITY TO INNOVATIVE LEADERSHIP". California Business Review 3, nr 2 (1.10.2015): 37–40. http://dx.doi.org/10.18374/cbr-3-2.5.

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Roivainen, Eka. "Age of acquisition of personality terms: Implications for personality theory". Europe’s Journal of Psychology 18, nr 2 (31.05.2022): 132–41. http://dx.doi.org/10.5964/ejop.2987.

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Analysis of the age of acquisition (AoA) of personality terms represents a genetic method for the study of the individual personality lexicon and offers a potential alternative to correlational analysis for identifying the fundamental personality descriptors among the thousands of terms that appear in language. In the present study, the relationship between AoA, word frequency, word desirability, and factor loading in the Big Five and Hexaco models of 274 and 408 personality adjectives was analyzed. It was found that young children (2nd graders or younger) acquire personality terms that represent traits at the core of the broad personality factors in the Big Five and Hexaco models slightly earlier than words that represent more peripheral traits. In older children beyond second grade, the correlation between factor loading and AoA is weak. Words that describe the broad openness and stability/emotionality aspects of personality are learned later than words for the other broad factors. Word frequency (in book texts) and desirability have a weak negative correlation with AoA. It is hypothesized that the AoA of a personality term reflects the importance of the corresponding trait for children and may be used as one criterion for ranking facet level traits independent of the broad factors.
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Mitchell, John T., Nathan A. Kimbrel, Natalie E. Hundt, Amanda R. Cobb, Rosemery O. Nelson‐Gray i Christopher M. Lootens. "An analysis of reinforcement sensitivity theory and the five‐factor model". European Journal of Personality 21, nr 7 (listopad 2007): 869–87. http://dx.doi.org/10.1002/per.644.

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Reinforcement Sensitivity Theory (RST) and the Five‐Factor Model (FFM) are two prominent personality accounts that have emerged from different backgrounds. Although the two accounts are applied to similar research topics, there is limited empirical work examining the correspondence between them. The current study explored the relationship between RST‐based personality traits and the FFM domains and facets in an undergraduate sample (n = 668). Regression analyses indicated that Sensitivity to Punishment (SP) was positively associated with Neuroticism and Agreeableness, and negatively associated with Extraversion, Openness, and Conscientiousness. In contrast, Sensitivity to Reward (SR) was positively associated with Extraversion and Neuroticism, and negatively associated with Agreeableness and Conscientiousness. Exploratory analyses at the facet level specified the relationship between SP, SR, and each domain. A factor analysis was also conducted to explore the higher‐order factor structure of RST and the FFM domains. Three factors emerged, which we labelled SP, Stability‐Impulsivity, and Sensation Seeking. Taken together, these findings suggest that there is substantial overlap between these two accounts of personality. Copyright © 2007 John Wiley & Sons, Ltd.
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Rozprawy doktorskie na temat "Five Factor Theory of Personality"

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Presnall-Shvorin, Jennifer R. "THE FIVE-FACTOR OBSESSIVE-COMPULSIVE INVENTORY: AN ITEM RESPONSE THEORY ANALYSIS". UKnowledge, 2015. http://uknowledge.uky.edu/psychology_etds/56.

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Arguments have been made for dimensional models over categorical for the classification of personality disorder, and for the five-factor model (FFM) in particular. A criticism of the FFM of personality disorder is the absence of measures designed to assess pathological personality. Several measures have been developed based on the FFM to assess the maladaptive personality traits included within existing personality disorders. One such example is the Five-Factor Obsessive-Compulsive Inventory (FFOCI). The current study applied item response theory analyses (IRT) to test whether scales of the FFOCI are extreme variants of respective FFM facet scales. It was predicted that both the height and slope of the item-response curves would differ for the conscientiousness-based scales, due to the bias towards assessing high conscientiousness as adaptive in general personality inventories (such as Goldberg’s International Personality Item Pool; IPIP). Alternatively, the remaining FFOCI scales and their IPIP counterparts were predicted to demonstrate no significant differences in IRCs across theta. Nine hundred and seventy-two adults each completed the FFOCI and the IPIP, including 377 undergraduate students and 595 participants recruited online. A portion of the results supported the hypotheses, with select exceptions. Fastidiousness and Workaholism demonstrated the expected trends, with the FFOCI providing higher levels of fidelity at the higher end of theta, and the IPIP demonstrating superior coverage at the lower end of theta. Other conscientiousness scales failed to demonstrate the expected differences at a statistically significant level. In this context, the suitability of IRT in the analysis of rationally-derived, polytomous scales is explored.
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Samuelsson, Maria. "Personality types & attributes in software engineering". Thesis, University West, Department of Technology, Mathematics and Computer Science, 2005. http://urn.kb.se/resolve?urn=urn:nbn:se:hv:diva-572.

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

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Davidsson, Julia. "The Role of Major Life Events and Brain Development on Personality Trait Change in Adulthood : Insights from Personality Neuroscience". Thesis, Högskolan i Skövde, Institutionen för biovetenskap, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-17324.

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The relationship between personality trait change and major life events is currently undergoing extensive investigations within the field of personality psychology. A debate has risen regarding whether or not major life events can bring about trait change, and how typical trait change patterns over the adult lifespan can be explained. It is valuable to understand how traits change because they predict important future outcomes. The Five-Factor Theory described by McCrae and Costa (2008a) states that traits are purely biological entities, and trait change is explained to result from processes of intrinsic biological maturation, unaffected by life events. This thesis reviewed the literature regarding the relationship of trait change and life events, and the research of potential biological bases of traits in the brain together with a brain developmental perspective of intrinsic maturation. Gaining an insight in the relationship between personality traits and the brain is a goal within a young field of research called personality neuroscience, and an agenda of the Five-Factor Theory. Major life events do cause trait change, but the relationship is complex. A brain developmental perspective of intrinsic maturation did not entirely correspond with patterns of typical trait change in young adulthood. The Five-Factor Theory is challenged and modifications are suggested. Neurobiological correlates of five-factor traits reveal issues and potentials for future research.
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Stern, Barry L. "Fear of intimacy, adult attachment theory, and the five-factor model of personality : a test of empirical convergence and incremental validity /". free to MU campus, to others for purchase, 1999. http://wwwlib.umi.com/cr/mo/fullcit?p9951126.

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Bewsey, Kyle. "Exploring Psychopathic Personality Traits and Moral Development in a Non-criminal Sample". Thesis, University of North Texas, 2013. https://digital.library.unt.edu/ark:/67531/metadc271780/.

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This study explored psychopathic personality traits among a non-criminal, college undergraduate sample. Much research has been done on conceptualizing the construct of psychopathy, but this work has been conducted primarily with incarcerated individuals using a structured interview, The Psychopathy Checklist – Revised (PCL-R; Hare, 1991, 2003). The goal of the current study was to assess psychopathic traits among non-criminal individuals using The Self-Report Psychopathy Scale - Version Four (SRP-IV; Paulhus, Neumann, & Hare, in press), and compare how SRP-IV scores were associated with a well recognized semi-structured interview for psychopathy, The Psychopathy Checklist – Screening Version (PCL: SV; Hart, Cox, & Hare, 1995). The study also examined whether psychopathic personality traits could be predicted using a measure of normal-range personality, based on the five-factor model (FFM; Digman, 1990), and a measure developed by Loevinger (1976) related to ego development. Five-Factor Model Rating Form (FFMRF; Mullins-Sweat, Jamerson, Samuel, Olson, & Widiger, 2006) scores and Total Protocol Ratings (TPR score) on the Washington University Sentence Completion Test (WUSCT; Hy & Loevinger, 1996) were used to predict psychopathy scores. Correlations of SRP-IV scores and PCL: SV scores with FFMRF scores and WUSCT TPR scores were also examined for their uniformity. As predicted, there were significant, negative correlations between FFM domains, Agreeableness and Conscientious, and SRP-IV scores, as well as significant, negative correlations between WUSCT TPR scores and SRP-IV scores. These correlations ranged from small to strong for both SRP-IV overall scores and for SRP-IV factor scores (i.e., Interpersonal Manipulation, Callous Affect, Erratic Lifestyle, and Criminal Tendencies). Additionally, FFM domain scores and WUSCT TPR scores significantly predicted SRP-IV scores. FFM domains, Agreeableness and Conscientiousness, and WUSCT TPR scores, were the strongest predictors of SRP-IV scores. Similar results were found when FFM domain scores and WUSCT TPR scores predicted SRP-IV factor scores. Results also indicated Agreeableness and Conscientious explained an additional 24% of the variance in psychopathy scores, after controlling for WUSCT TPR scores. Conversely, WUSCT TPR scores explained an additional 5% of the variance in psychopathy scores after controlling for Agreeableness and Conscientiousness. Finally, as predicted, the differences in correlations between psychopathy scores (i.e., PCL: SV, SRP-IV), and Agreeableness, Conscientiousness, and WUSCT TPR scores were not statistically significant providing evidence that correlates of psychopathic traits can be measured among non-criminal individuals using a self-report measure, the SRP-IV, and that these findings are concordant with those based on a standardized structured assessment for psychopathy. Limitations of the study, implications, and recommendations for future research are also discussed.
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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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Hartman, Robert Owen. "The five-factor model and career self-efficacy general and domain-specific relationships /". Columbus, Ohio : Ohio State University, 2006. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=osu1147867278.

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Scherbaum, Charles A. "Detecting intentional response distortion on measures of the five-factor model of personality an application of differential person functioning /". Ohio : Ohio University, 2003. http://www.ohiolink.edu/etd/view.cgi?ohiou1071001111.

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Ashwood, Daniel. "Pediatrician Personality Factors and Communication with Non-normative Hearing Children". University of Cincinnati / OhioLINK, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1509983864359956.

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Książki na temat "Five Factor Theory of Personality"

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

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Personality disorders and the five-factor model of personality. Wyd. 3. Washington, D.C: American Psychological Association, 2013.

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Costa, Paul T., i Thomas A. Widiger, red. Personality disorders and the five-factor model of personality. Washington: American Psychological Association, 1994. http://dx.doi.org/10.1037/10140-000.

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McCrae, Robert R., i Jüri Allik, red. The Five-Factor Model of Personality Across Cultures. Boston, MA: Springer US, 2002. http://dx.doi.org/10.1007/978-1-4615-0763-5.

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Costa, Paul T., i Thomas A. Widiger, red. Personality disorders and the five-factor model of personality (2nd ed.). Washington: American Psychological Association, 2002. http://dx.doi.org/10.1037/10423-000.

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Widiger, Thomas A., i Paul T. Costa, red. Personality disorders and the five-factor model of personality (3rd ed.). Washington: American Psychological Association, 2013. http://dx.doi.org/10.1037/13939-000.

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Paunonen, Sampo V. NPQ manual: Nonverbal Personality Questionnaire (NPQ) and Five-Factor Nonverbal Personality Questionnaire (FF-NPQ). Port Huron, MI (511 Fort St., Suite 435, Port Huron): Sigma Assessment Systems, 2004.

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Trull, Timothy J. Structured interview for the Five-Factor Model of Personality (SIFFM): Professional manual. Odessa, FL: Psychological Assessment Resources, 1997.

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Costa, Paul T. Revised NEO Personality Inventory (NEO PI-R) and NEO Five-Factor Inventory (NEO-FFI). Odessa, Fla. (P.O. Box 998, Odessa 33556): Psychological Assessment Resources, 1992.

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Costa, Paul T. NEO PI/FFI manual supplement for use with the NEO Personality Inventory and the NEO Five-Factor Inventory. Odessa, Fla. (P.O. Box 998, Odessa 33556): Psychological Assessment Resources, 1989.

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Części książek na temat "Five Factor Theory of Personality"

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Allik, Jüri, i Robert R. McCrae. "A Five-Factor Theory Perspective". W The Five-Factor Model of Personality Across Cultures, 303–22. Boston, MA: Springer US, 2002. http://dx.doi.org/10.1007/978-1-4615-0763-5_15.

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Nuthall, Peter L. "Agreement. Oh yeah!" W Farm business management: the decisive farmer, 140–54. Wallingford: CABI, 2021. http://dx.doi.org/10.1079/9781800620124.0013.

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Abstract This chapter has covered many aspects involved in a farmer's managerial ability. It is again stressed that most farmers make most decisions using intuition. This chapter also contains the results of comparing the managerial attributes of farmers with a managerial ability rating of 70 percent or greater (on a 0-100 percent scale), with the farmers below 70 percent. It was constructed from a sample of over 700 farmers. The farmers discuss at some length the problem that Peter recognizes as a fault in his management style- conscientiousness. They suggest some ideas on how he can improve his style in this regard. George talks about what he calls benignness, or agreeableness in the five-factor personality model. He believes he finds it difficult when faced with issues as he doesn't have sufficient of this personality factor, which sometimes results in foolish decisions, and reactions to others. The other farmers suggest various ideas on improvement.
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Crowe, Michael L., i Joshua D. Miller. "Five-Factor Narcissism Inventory". W Encyclopedia of Personality and Individual Differences, 1604–8. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-319-24612-3_664.

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Crowe, Michael L., i Joshua D. Miller. "Five-Factor Narcissism Inventory". W Encyclopedia of Personality and Individual Differences, 1–5. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-28099-8_664-1.

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Chmielewski, Michael S., i Theresa A. Morgan. "Five-Factor Model of Personality". W Encyclopedia of Behavioral Medicine, 884–86. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-39903-0_1226.

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Clemson, Lindy, J. Rick Turner, J. Rick Turner, Farrah Jacquez, Whitney Raglin, Gabriela Reed, Gabriela Reed i in. "Five-Factor Model of Personality". W Encyclopedia of Behavioral Medicine, 803–4. New York, NY: Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4419-1005-9_1226.

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Piedmont, Ralph L. "Five Factor Model of Personality". W Encyclopedia of Quality of Life and Well-Being Research, 2282. Dordrecht: Springer Netherlands, 2014. http://dx.doi.org/10.1007/978-94-007-0753-5_1055.

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Barger, Brian. "Five-Factor Personality Inventory-Children". W Encyclopedia of Personality and Individual Differences, 1608–11. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-319-24612-3_33.

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Barger, Brian. "Five-Factor Personality Inventory-Children". W Encyclopedia of Personality and Individual Differences, 1–3. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-28099-8_33-1.

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McNulty, John L. "Five-factor model of personality." W Encyclopedia of Psychology, Vol. 3., 375–76. Washington: American Psychological Association, 2000. http://dx.doi.org/10.1037/10518-183.

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Streszczenia konferencji na temat "Five Factor Theory of Personality"

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Stidham, Hallie, Michelle Flynn, Joshua D. Summers i Marissa Shuffler. "Understanding Team Personality Evolution in Student Engineering Design Teams Using the Five Factor Model". W ASME 2018 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2018. http://dx.doi.org/10.1115/detc2018-85888.

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This research explores the role of personalities in engineering design teams in a capstone course using the Five Factor Model of Personality. Specifically, the self and peer assessed personality profiles are across a semester project. After four iterations, the expectation was that peers would be better able to identify their teammates personality traits. Results show that the peer evaluations do change over time. For the factors of Openness, Conscientiousness, and Agreeableness, the agreement between self and peer evaluations increased from Iteration 2 to Iteration 4. The Extraversion factor agreement increased, but not to the point where the peer and self-evaluations did not have statistically significant differences. The agreement between the self and peer evaluations for Neuroticism decreased over time. Extended results, limitations, and future work are also discussed.
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Sodiya, Adesina, H. O. D. Longe, Adebukola Onashoga, Oludele Awodele i L. O. Omotosho. "An Improved Assessment of Personality Traits in Software Engineering". W 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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"Personality and Online Shopping Outcomes: A Study of Young Adult Chinese Consumers [Abstract]". W InSITE 2018: Informing Science + IT Education Conferences: La Verne California. Informing Science Institute, 2018. http://dx.doi.org/10.28945/4050.

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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.
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Bazaleva, Lyubov’, i Anastasiya Saltovskaya. "Personal features of persons with addictive behavior". W Safety psychology and psychological safety: problems of interaction between theorists and practitioners. «Publishing company «World of science», LLC, 2020. http://dx.doi.org/10.15862/53mnnpk20-06.

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The article is devoted to the study of the personality determinants of persons with addictive behavior. The aim of the study is to identify the personality determinants of persons with addictive behavior. Research hypothesis - in persons with addictive behavior, there are differences depending on gender, length of use, the period of being in rehabilitation for certain personality traits. To write the article, empirical methods were used - free observation, analysis of isolated cases, conversation, questionnaires, testing according to the methods: the five-factor personality questionnaire McCrae - Costa ("Big Five"), the Shmishek questionnaire. Methods of statistical processing of empirical data were used to process the research results: comparative analysis of mean values and nonparametric statistical tests Mann-Whitney U and Kruskal-Wallis. The study sample consisted of 20 clients of the rehabilitation center: men and women who use various psychoactive substances, with different experience of using substances and different periods of stay in rehabilitation. The article draws conclusions about the peculiarities of personal determinants in persons with additive behavior.
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Slavev, Svetislav, i Evelina Savcheva. "INFLUENCE OF PERSONAL CHARACTERISTICS ON MENTAL SKILLS OF TAEKWONDO ATHLETES". W INTERNATIONAL SCIENTIFIC CONGRESS “APPLIED SPORTS SCIENCES”. Scientific Publishing House NSA Press, 2022. http://dx.doi.org/10.37393/icass2022/63.

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Our research is based on the need for more in-depth studies of the relationships and the impact of personal characteristics and mental skills on the successful performance of athletes. The present study aims to examine the connections and interrelations among personality traits of Big-Five factor markers, International Personality Item Pool - IPIP, (Goldberg, 2001): extraversion, conscientiousness, agreeableness, emotional stability, and openness to experience on mental skills related to successful performance in sport (Thomas, Murphy, Hardy, 1999). The research was done among 28 Bulgarian taekwondo athletes (WTF, ITF; 12-46 years old), divided into groups according to their age, gender, and sports qualification. There are significant differences depending on gender, age, and qualification (medalists and non-medalists). Analysis showed statistically significant correlations between extraversion and goal setting (r=.374; p˂.05), emotional control (r=.458; p˂.01); visualization (r=.441; p˂.05), activation (r=.375; p˂.05) and self-talk (r=.406; p˂.05) in competition; conscientiousness and negative thinking (r=-.487; p˂.01), goal setting (r=.418; p˂.05), automaticity (r=.391; p˂.05) in practice; openness to experience and goal setting (r=.466; p˂.05), self-talk (r=.482; p˂.01) in competition and goal setting (r=.382; p˂.05) in practice; emotional stability and emotional control (r=.657; p˂.01) and relaxation (r=.504; p˂.01), negative thinking (r=-.546; p˂.01) in competition, emotional control (r=.645; p˂.01), attention (r=.464; p˂.05) in practice. The results of the study enrich the knowledge of the mental preparation of taekwondo athletes. Still, some limitations are related to the relatively small number of researched individuals.
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Gallimore, Jennie J., Blake Ward, Adrian Johnson, Bobbie Leard, Jeremy Lewis, Kyle Preuss i Julie Skipper. "Human Perceptions of Nonverbal Behavior Presented Using Synthetic Humans". W ASME 2012 11th Biennial Conference on Engineering Systems Design and Analysis. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/esda2012-82641.

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Synthetic humans are computer-generated characters that are designed to behave like humans for the purpose of training or entertainment. The purpose of this study was to evaluate the perceptions of subjects interacting with synthetic humans to determine their responses to nonverbal behaviors, realism, and character personality. This study was part of a research program to develop a virtual game to train awareness of nonverbal communication for cross-cultural competency (3C). Three synthetic humans were created with different levels of realism with respect to their facial movements and skin textures. Low realism characters were defined as models purchased from the company Evolver, with additional facial action units (FAU) added to the character’s face. High realism characters were created based on a model of a real person’s head using 3D imaging cameras and a digital video camera. The same FAUs available in the Evolver characters were also coded into the high realism character as well as more realistic skin texture. During a virtual scenario the subject was asked to interview three characters in the U.S. Army. The subject interviewed each character one-on-one. The three computer characters included two white males, and one black female. The results of this study showed that it is possible to create synthetic humans that include nonverbal behaviors and personalities that are perceived by subjects, and that the subject’s own personal lens affected how they perceive the character. For example, the character Brent was rated similarly by most subjects with respect to personality traits as defined by the Big Five Factor Model. However, half the subjects indicated they liked him (friendly and confident), while about half the subjects did not like him (too confident as to be arrogant).
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Md Ninggal, Mohd Tajudin. "First Year Undergraduates’ Emotional Stability, Motivation, and Online Learning Skills during Covid-19 Pandemic". W Tenth Pan-Commonwealth Forum on Open Learning. Commonwealth of Learning, 2022. http://dx.doi.org/10.56059/pcf10.7410.

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This main objective of the study was to examine the relationships between emotional stability, motivation, and online study skills among first-year undergraduate students who were engaged in online learning from their respective homes during the Covid-19 pandemic. A total of 159 students who were studying online from their respective homes from one public university in the east coast of Malaysia were selected in the study. They were selected through purposive sampling method and need to answer two sets of instruments, i) the Learner Personality Profile and ii) Online Learning Skill through an online survey. Both instruments consisted of 60 items and 30 items respectively and were measured based on a five-point Likert scales. The Learner Personality Profile scale was (1) Never, (2) Rarely, (3) Sometimes, (4) Very Often, and (5) Always responses, while the Online Learning Skill scale consisted of (1) Strongly Disagree, (2) Disagree, (3) Neither Agree nor Disagree, (4) agree, and (5) Strongly Agree responses. The findings of the study showed that both male and female students reported low levels of emotional stability scores (mean=2.20 and mean=2.19 respectively). However, female students reported higher level of motivation scores (mean=3.90) than male students’ scores (mean=3.61) based on a three-level range of mean scores (low=1.00 to 2.33, average=2.34 to 3.67, and high=3.68 to 5.00). Female students also reported higher level of online study skills scores (mean=3.90) than male students’ scores (mean=3.61). The correlation analyses showed significant relationships between online study skills and emotional stability, and between motivation and emotional stability. Interestingly, the study reported that the motivation variable did not act as a mediating factor in the relationship between online study skills and emotional stability based on the multiple-regression analysis.
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Pramodh, Kasula Chaithanya, i Y. Vijayalata. "Automatic personality recognition of authors using big five factor model". W 2016 IEEE International Conference on Advances in Computer Applications (ICACA). IEEE, 2016. http://dx.doi.org/10.1109/icaca.2016.7887919.

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Hsien-Lun Wong, Yi-Hsien Tu i Mei-Chun Lin. "The Validity of Five-Factor Model of Personality to Predicting Impulse Buying Tendency". W 2010 Fourth International Conference on Genetic and Evolutionary Computing (ICGEC 2010). IEEE, 2010. http://dx.doi.org/10.1109/icgec.2010.45.

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Arsaliev, Shavadi. "Ethnopedagogical Theory As A Factor In Personality Formation And Development". W International Scientific Congress «KNOWLEDGE, MAN AND CIVILIZATION». European Publisher, 2021. http://dx.doi.org/10.15405/epsbs.2021.05.249.

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Raporty organizacyjne na temat "Five Factor Theory of Personality"

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Nagahi, Morteza, Raed Jaradat, Mohammad Nagahisarchoghaei, Ghodsieh Ghanbari, Sujan Poudyal i 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.), maj 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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