Academic literature on the topic 'Big Five dimensions'

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Journal articles on the topic "Big Five dimensions"

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Schutte, Nicola S., John M. Malouff, Elida Segrera, Amanda Wolf, and Larissa Rodgers. "States reflecting the Big Five dimensions." Personality and Individual Differences 34, no. 4 (2003): 591–603. http://dx.doi.org/10.1016/s0191-8869(02)00031-4.

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Prasetyaningrum, Susanti, and Finda Oktaviani Rahma. "KEPRIBADIAN TERHADAP GAYA KELEKATAN DALAM HUBUNGAN PERSAHABATAN." Psympathic : Jurnal Ilmiah Psikologi 2, no. 2 (2016): 153–68. http://dx.doi.org/10.15575/psy.v2i2.456.

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The purpose of this study was to determine the influence of the Big Five Personality dimensions to the attachment style on adolescent friendship-relation. There were 220 subjects taken with simple random sampling technique from MAN 2 Tulungagung. The data were analyzed by multiple linear regression. The results found that there was a correlation between the Big Five Personality dimensions and attachment style. The Big Five Personality dimensions has effected on attachment style as well. Extroversion dimension is positively correlated and able to predict secure attachment style with (R=0.297). Openness dimension is negatively correlated and able to predict Fearful attachment style with (R=-0.373). Conscientiousness is positively correlated and able to predict Dismissing attachment style with (R=0.344). However, the dimensions of the Big Five Personality were not significant enough to predict preoccupied attachment style.
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Moscoso, Silvia, and Mar Iglesias. "Job Experience and Big Five Personality Dimensions." International Journal of Selection and Assessment 17, no. 2 (2009): 239–42. http://dx.doi.org/10.1111/j.1468-2389.2009.00466.x.

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Singh, Dr Kuldeep, and Dr Mahabir Singh. "Big Five Personality Dimensions of Volleyball Players at Different Levels of Participation." Indian Journal of Applied Research 3, no. 9 (2011): 422–24. http://dx.doi.org/10.15373/2249555x/sept2013/152.

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Arora, Ridhi, and Santosh Rangnekar. "Linking the Big Five personality factors and career commitment dimensions." Journal of Management Development 35, no. 9 (2016): 1134–48. http://dx.doi.org/10.1108/jmd-10-2015-0142.

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Purpose The purpose of this paper is to investigate the relationship of the Big Five personality factors (extraversion, conscientiousness, agreeableness, emotional stability, and intellect/openness to experience) with career commitment measured in terms of three factors as career identity, career resilience, and career planning. Design/methodology/approach The study included 363 managers from public and private sector organizations in North India. Findings The authors found that in the Indian context, openness to experience/intellect is the Big Five personality dimension that acts as the significant predictor of all the three dimensions of career commitment (career identity, career resilience, and career planning). Further, conscientiousness was found as the significant predictor of only career identity, which indicated Indian managers who are focused identify well with their career line. In addition, the Big Five personality dimension of agreeableness was found to have a positive significant influence on career planning. From this, the authors inferred that tendency to get along well with others helps Indian managers in enhancing their career planning. Originality/value The study contributes to the existing literature on personality and careers in the South-Asian context.
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Bratko, Denis, and Iris Marušić. "Family study of the big five personality dimensions." Personality and Individual Differences 23, no. 3 (1997): 365–69. http://dx.doi.org/10.1016/s0191-8869(97)80001-3.

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Salgado, Jesus F. "The Big Five Personality Dimensions and Counterproductive Behaviors." International Journal of Selection and Assessment 10, no. 1&2 (2002): 117–25. http://dx.doi.org/10.1111/1468-2389.00198.

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Conte, Jeffrey M., and Jeremy N. Gintoft. "Polychronicity, Big Five Personality Dimensions, and Sales Performance." Human Performance 18, no. 4 (2005): 427–44. http://dx.doi.org/10.1207/s15327043hup1804_8.

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Gramzow, Richard H., Constantine Sedikides, A. T. Panter, Viji Sathy, Joshua Harris, and Chester A. Insko. "Patterns of self‐regulation and the Big Five." European Journal of Personality 18, no. 5 (2004): 367–85. http://dx.doi.org/10.1002/per.513.

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The authors examined relations between self‐regulatory properties of personality (ego‐control and ego‐resilience) and the Big Five. Ego‐control and ego‐resilience were independent predictors of each Big Five dimension. Additionally, cluster analysis suggested four replicable ‘types’. Participants in the first (largest) cluster reported the highest levels of resilience and moderately low levels of control. The second cluster reported above‐average resilience and high control. The third cluster reported below‐average resilience and extremely low control. The final cluster reported very low resilience and high control. The four clusters differed systematically in their Big Five profiles. These findings suggest that self‐regulatory processes are co‐ordinated with other basic personality dimensions, and attest to the utility of conducting both variable‐centred and person‐centred analyses. Copyright © 2004 John Wiley & Sons, Ltd.
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Pangastuti, Ria Lestari. "PENGARUH DIMENSI KEPRIBADIAN THE BIG FIVE PERSONALITY TERHADAP ORGANIZATIONAL CITIZENSHIP BEHAVIOR (OCB)." Ekonika : Jurnal ekonomi universitas kadiri 3, no. 1 (2018): 88. http://dx.doi.org/10.30737/ekonika.v3i1.100.

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The reasearch aim is for analizing the influence of personality dimension “The Big Five Personality” towards ORGANIZATIONAL Citizenship Behavior (OCB) (Studi Case Of Student Affairs Employees At X University). Population of this research is all employees of X University and sample is the employees who are at student affairs unit (50 people). The data were collected by sharing the quesioner to 50 respondents. The analysis of this research is Partial Least Square Structural EQUTION Model (PLS-SEM). Analysis result of PLS-SEM is there is significant influence of personality dimension, “The Big Five Personality” among five personality dimensions, alturism has the highest significance.
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Dissertations / Theses on the topic "Big Five dimensions"

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Laak, Jan J. F. ter. "The Big Five dimensions of individual differences in personality." Pontificia Universidad Católica del Perú, 1996. http://repositorio.pucp.edu.pe/index/handle/123456789/101034.

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This is a review anide about the different theoretical positions on the Big Five dimensions of personality . This article presents the similarities and dilferences among the theoretical positions following a thorough reflection on the following topics: (a) the genesis of the content and structure of the Big Five; (b) the robustness of the five dimensions; (e) a description of the research on the relationship of the Big Five with other personality constructs; (d) a di~cussion about the predictive value of the Big Five profile scores for relevant criteria; (e) the theoretical status of the Five is analyzed; (f) historical criticisms on the Big Five are discussed; (g) sorne guesses for the future of the Five are put forward; and (h) conclusions and remarks about the Five dimensions of personality are drawn and made.<br>Este artículo revisa las distintas posiciones teóricas sobre las cinco grandes dimensiones de la personalidad, mostrando las semejanzas y diferencias entre las posturas teóricas. Esta contribución presenta lo siguiente: (a) la génesis del contenido y la estructura de las cinco dimensiones; (b) la fortaleza de las cinco dimensiones; (e) la relación de las cinco grandes dimensiones con otros constructos de personalidad; (d) discute el valor predictivo de las puntuaciones del perfil de las cinco dimensiones para criterios pertinentes; (e) analiza el estatus teórico de las cinco dimensiones; (f) discute críticas históricas sobre las cinco grandes dimensiones y se formulan respuestas a estas críticas; (g) hace conjeturas para el futuro de las cinco grandes dimensiones; y (h) concluye con algunas conclusiones y comentarios.
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Jia, Heather Hartke. "Relationships between the big five personality dimensions and cyberloafing behavior /." Available to subscribers only, 2008. http://proquest.umi.com/pqdweb?did=1594480051&sid=1&Fmt=2&clientId=1509&RQT=309&VName=PQD.

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Clark, Leigh Anne. "Relationships between the Big Five personality dimensions and attitudes toward telecommuting /." Available to subscribers only, 2007. http://proquest.umi.com/pqdweb?did=1362528911&sid=3&Fmt=2&clientId=1509&RQT=309&VName=PQD.

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Escobar, Despessailles Nadia. "Anknytningsstilar och kön i förhållande till dimensionerna i Big Five." Thesis, Mälardalens högskola, Akademin för hälsa, vård och välfärd, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-53217.

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Våra anknytningsstilar påverkas redan från barndomen utav våra relationer. Studien undersökte personers olika anknytningsstilar som förekommer och kön i förhållande till Big Five modellens fem personlighetsdimensioner. Denna studie är genomförd med fem tvåvägs variansanalyser för oberoende mätningar. Beprövade mätinstrument användes i studien, vilka är Attachment Style Questionnarie och Shafer’s personality scale. Anknytningsstil och kön användes som oberoende variabler och Big five dimensionerna användes som en beroende variabel i studien. I resultatet framkom det ingen skillnad mellan kön på dimensionerna i Big Five. Det existerade dock skillnader mellan de tre anknytningsstilarna i dimensionerna extraversion, vänlighet samt neuroticism i Big Five. Endast samvetsgrannhet kunde påvisa en statistisk signifikant interaktion mellan anknytningsstil och kön i förhållande till Big Five. Slutsatserna är att studiens resultat stämmer överens till stor del med tidigare forskning.
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Greenidge, Dion DaCosta. "An empirical analysis of the representation of lower-order facets of the big five personality dimensions." Thesis, University of Nottingham, 2013. http://eprints.nottingham.ac.uk/13627/.

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In the field of personality psychology there is some consensus among researchers that human personality, at the broadest level, can be described in terms of five fundamental personality dimensions. Universally, these personality dimensions are referred to as the “Big Five” model or the Five Factor Model (FFM) of personality: Extraversion, Conscientiousness, Agreeableness, Emotional Stability versus Neuroticism, and Intellect or Openness to Experience. However, currently, there is little conceptual or empirical consensus about a meaningful taxonomy of lower-order facets that make up each of the Big Five personality factors. This thesis sought to identify a parsimonious and replicable taxonomy of lower-order facets of the Big Five personality factors, and test the lower-order facet structure for construct and criterion-related validity. Based on the US Eugene-Springfield community sample (ESCS) (N =375), Study 1 examined facet scale scores from nine widely used personality inventories using Exploratory Factor Analysis in order to identify a shared overall lower-order structure for each of the Big Five personality domains. Factor analyses of 162 facet scales revealed 29 facets for the Big Five which demonstrated good convergent validity. However, some facets (e.g. traditionalism, peacefulness, trust) showed less clear patterns of discriminant validity, and thus appear to be compound traits or blends of two or more Big Five factors. In Study 2, a new 232-item Big Five instrument, the Hierarchical Personality Assessment Questionnaire (HPAQ), was developed to measure the 29 lower-order facets derived in Study 1. In the development phase of HPAQ, the factor scores for the 29 facets from Study 1 were correlated with the International Item Pool (Goldberg, 1999) in order to generate an initial pool of items. An initial pool of 348 IPIP items to mark the 29 facets was then administered to a large sample of undergraduate and postgraduate students at a University in the English-speaking Caribbean (N = 778) with the intention of choosing 8 items that best marked each of the facets. Additionally, the HPAQ was validated in a second sample of undergraduate and postgraduate students (N = 807) against the NEO-PIR and its psychometric properties were further examined. The development and validation of the HPAQ was a first step in moving towards Study 3. Study 3 investigated the differential criterion-related validity of the 29 HPAQ lower-order facets in the prediction of job performance criteria (task performance, counterproductive work behaviour, and organisational citizenship behaviours). In addition, the incremental validities of the 29 lower-order facets in the prediction of job performance criteria were also examined. Overall, Study 3 found that the 29 lower-order facets demonstrated differential criterion-related validity and provided incremental validity beyond the global Big Five factors in predicting the job performance criteria and vice versa. Overall, this thesis empirically derives an initial taxonomy of lower-order facets of the Big Five personality factors based on nine personality inventories and developed a new Big Five personality instrument to measure explicitly this lower-order facet structure. The theoretical and practical implications of these results, limitations, and suggestions for future research are discussed.
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Soni, Tejal Jushwantrai. "The relationship between the big five personality dimensions and job satisfaction in a petro-chemical organisation / T.J. Soni." Thesis, North-West University, 2003. http://hdl.handle.net/10394/295.

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There is relatively little research based on the Big Five personality dimensions and job satisfaction and the relationship thereof. Job satisfaction of employees is a good indication of organisational effectiveness and is influenced by organisational and dispositional factors. The fundamental nature of the dispositional approach is that individuals have stable traits that significantly influence their affective and behavioural reactions to organisational settings. Job satisfaction can be considered a general feeling of well-being experienced by any employee about the work he or she does or as a related collection of attitudes about various aspects of the job. Employees, who perform at higher levels, will most likely make a greater contribution in the organisation. These individual's are more likely to achieve greater status; thus the importance of having satisfied employees in any organisation. The general objective of this study was to determine the relationship between personality dimensions and job satisfaction of engineers in a petro-chemical organisation. A cross-sectional survey design was used in the empirical study. The sample consisted of 89 junior to middle level engineers within a petro-chemical organisation. The Minnesota Job Satisfaction Questionnaire (MSQ) and the Personality Characteristics Inventory (PCI) were administered. Descriptive statistics were used to analyse the data. Cronbach alpha coefficients, inter-item correlation coefficients and confirmatory factor analysis were used to assess the reliability and validity of the measuring instruments. Pearson and Spearman correlation coefficients were used to specify the relationships between the variables. Multiple regression analysis was used to determine which personality dimensions were the best predictors of job satisfaction. The current research found that employees who are more stable and introverted tend to be more satisfied with achievement, independence as well as human and technical supervision at the work place. It was also established that extraverted and sociable individuals in the organization are less satisfied with human supervision. The findings of this research showed that some personality dimensions are related to aspects of job satisfaction However, overall personality dimensions explained relatively small percentages in the variance of job satisfaction. Because of this, the situational frame of reference, which is most common at present within the workplace, as well as the frame of reference that most supports this research, job satisfaction/dissatisfaction, is alleged to result from the nature of the job or h m the conditions at work. This basically epitomizes the effects of situational forces on workers' job attitudes. The results showed that subscales predicted job satisfaction to a greater extent than personality dimensions. Recommendations for future research were made.<br>Thesis (M.A. (Industrial Psychology))--North-West University, Potchefstroom Campus, 2004.
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Ancarrow, Megan Ashley. "Style over Substance? A Content Analysis of the Gendered Style of Political Pundits on the "Big Five"." Thesis, Virginia Tech, 2016. http://hdl.handle.net/10919/71659.

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It is well known that males dominate politics, both in elected positions and in the media as political pundits (Melber, 2011). Is it the masculine style that is appealing to society? Do popular political pundits (male and female) emulate this masculine style in order to appeal to and persuade their audience? Through a content analysis of the rhetoric of six specified political pundits, it is hypothesized that both males and females are more likely to incorporate masculine styles of rhetoric, and those who display more masculine style traits will be more acceptable to the general audience leading to more airtime and appearances across networks. Through the analysis of the programs' 2013 transcripts, the communicative style of both male and female political pundits of the top five news programs from the big five networks will be studied: ABC's This Week with George Stephanopoulos, CBS's Face the Nation with Bob Schieffer, CNN's State of the Union with Candy Crowley, Fox News Sunday with Chris Wallace, and NBC's Meet the Press with Chuck Todd.<br>Master of Arts
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Ulu, Inci Pinar. "An Investigation Of Adaptive And Maladaptive Dimensions Of Perfectionism In Relation To Adult Attachment And Big Five Personality Traits." Phd thesis, METU, 2007. http://etd.lib.metu.edu.tr/upload/3/12608170/index.pdf.

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The present study investigated the role of anxiety and avoidance dimensions of attachment and big five personality traits in adaptive and maladaptive dimensions of perfectionism. A pilot study was carried out with 408 (260 males and 148 females) preparatory school students of Middle East Technical University (METU) for the adaptation studies of Almost Perfect Scale-Revised (APS-R). The results of the exploratory and confirmatory factor analyses yielded a 21 item scale with three factors<br>Standards, Discrepancy and Order. The results of convergent and divergent and criterion-related validity studies revealed evidence for the adaptive and maladaptive dimensions of perfectionism. As for the main purpose of the study, three questionnaires, namely APS-R, Relationship Scales Questionnaire and Big Five Inventory were administered to 604 (377 males and 227 females) preparatory school students of METU. The results of three multiple regression analysis revealed that adaptive perfectionism as measured by Standards scores was significantly predicted by Conscientiousness, Openness and Extraversion. Maladaptive perfectionism as measured by Discrepancy scores was predicted by Neuroticism, Anxiety and Avoidance dimensions of attachment. Order scores used as an additional analysis were found to be predicted by Conscientiousness, Neuroticism, Extraversion and Openness.
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Espegren, Yanina, and Suresh Panicker. "Salesperson’s Personality, Motivation and Selling Performance : The Study of New Product Selling." Thesis, Högskolan Dalarna, Företagsekonomi, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:du-18417.

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In the highly competitive environment businesses invest big amounts of money into the new product development. New product success potentially depends on different factors among which salespeople play an important role. The aim of this paper is to explore the potential link between salespeople’s personality, motivation to sell new products and performance in selling new products. Based on the theoretical background of the Big Five personality dimensions, motivation and selling performance hypotheses were formulated and tested using statistical methods of correlation and regression analysis. The data was collected within one technologically intensive organization – ABB AB in Sweden using online web questionnaire and self-assessment measurements. Total investigation was conducted among organization’s salesforce. The findings confirm the importance of salesperson’s personality empirically showing that the latter significantly predicts both motivation and performance in selling new products. From all the Big Five Extraversion was confirmed to be the most important predictor of both motivation and performance in selling new products. Extraversion was found positively related with both motivation and performance in selling new products. Salespeople scoring high in Extraversion and especially possessing such characteristics as confident, energetic and sociable tend to be more motivated to sell new products and show higher performance results. Other personality dimensions such as Agreeableness, Conscientiousness, Neuroticism, and Openness to experience complexly approached are not proved to be significantly related neither with motivation nor performance in selling new products. The results are explained by the extreme importance of Extraversion in new product selling situation which analyzing in combination with the other personality dimensions suppresses the others. Finding regarding controlling for certain demographical characteristics of salespeople reveal that performance in selling new products is determined by selling experience. Salespeople’s age is not proved to be significantly related neither with motivation nor performance in selling new products. Findings regarding salespeople’s gender though proposing that males are more motivated to sell new products cannot be generalized due to the study limitations.
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Yalcin, Asli. "Emotional Labor: Dispositional Antecedents And The Role Of Affective Events A Thesis Submitted To The Graduate School Of Social Sciences Of Middle East Technical University By Asli Yalcin In Partial Fulfillment Of The Requirements For The Degre." Master's thesis, METU, 2010. http://etd.lib.metu.edu.tr/upload/12612507/index.pdf.

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The present study aimed to explore both situational (Emotional Display Rules and Affective Events) and dispositional antecedents (Four of Big Five personality dimensions<br>Extraversion, Neuroticism, Conscientiousness and Agreeableness) of emotional labor. Potential interaction effects of situational and dispositional variables on emotional labor<br>and long-term consequences of the construct were also examined. Data were collected from table servers working in caf&eacute<br>s, restaurants, and hotels in Ankara, Istanbul, Kusadasi, (Aydin) and Antalya. The study was performed in three stages. In the first stage, diary study was conducted and Affective Events Scale was created for the service work. In the second stage, psychometric properties of the new scale were pilot tested. In the main study, reliabilities of the scales, hypotheses and potential moderation effects were tested with a total sample of 254 employees. Results revealed that emotional display rules were a significant predictor of both surface and deep acting. Positive events positively predicted emotional labor. Among dispositional antecedents, agreeableness was the only dimension that predicted surface acting. Deep acting was predicted by all of the personality dimensions utilized in the study, especially by agreeableness. On the other hand,conscientiousness had a marginally significant moderation effect on the relationship between emotional display rules and surface acting. With respect to consequences of emotional labor, both surface acting and deep acting positively predicted personal accomplishment. Deep acting was also positively related to job satisfaction, and negatively related to turnover intentions. Findings discussed and practical implications, limitations, and directions for future research were presented.
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Books on the topic "Big Five dimensions"

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Church, Marcia Katigbak. Investigation and measurement of personality structure in a non-Western culture: Relating indigenous Philippine dimensions to the Big Five model. 1993.

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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.

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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.
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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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Bakker, Karen. The Business of Water. Edited by Ken Conca and Erika Weinthal. Oxford University Press, 2016. http://dx.doi.org/10.1093/oxfordhb/9780199335084.013.16.

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Over the past three decades, water supply has become big business, and fierce debates have emerged in many countries over water privatization and water markets. This chapter reviews five dimensions of this debate: (1) the privatization of ownership and management; (2) the commercialization of water management organizations; (3) the environmental valuation and pricing of water; (4) the marketization of exchange mechanisms (“water trading” and “water markets”); and (5) the neoliberalization of governance. The analysis offers an analytical framework within which more structured, comprehensive assessments of market environmentalism—which is multifaceted and highly varied, difficult to implement in practice, and by no means hegemonic—in the water sector might be conducted. The chapter concludes with some reflections on the future of this debate.
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Hatje, Armin, and Peter-Christian Müller-Graff, eds. XXVIII. FIDE-Kongress vom 23. Mai bis 26. Mai 2018 in Estoril. Nomos Verlagsgesellschaft mbH & Co. KG, 2019. http://dx.doi.org/10.5771/9783845299815.

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Das EuR-Beiheft vereint die deutschen Landesberichte und die dazu gehörigen Fragen der Generalberichterstatter zu den Themen des XXVIII. Kongresses der Internationalen Föderation für Europarecht (FIDE), der vom 23. Mai bis 26. Mai 2018 im portugiesischen Estoril stattfand. Die Berichte behandeln die drei Themengruppen „Der Binnenmarkt und die digitale Wirtschaft“ (Wolfgang Kilian und Benjamin Raue), „Steuern, staatliche Beihilfen und Wettbewerbsverzerrungen“ (Rainer Wernsmann/Paul Wagner) und „Die externe Dimension der EU-Politiken“ (Till Müller-Ibold). Sie werden ergänzt durch eine Dokumentation des im Einklang mit der traditionellen FIDE-Methode von den jeweiligen Generalberichterstattern vorgegebenen unionsrechtlichen Fragenrahmens.
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Deremer, Leigh Ann. Contemporary Musicians: Profiles of the People in Music (Contemporary Musicians). Thomson Gale, 2002.

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Deremer, Leigh Ann. Contemporary Musicians: Profiles of the People in Music (Contemporary Musicians). Thomson Gale, 2004.

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Deremer, Leigh Ann. Contemporary Musicians: Profiles of the People in Music (Contemporary Musicians). Thomson Gale, 2001.

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Contemporary Musicians: Profiles of the People in Music (Contemporary Musicians). Thomson Gale, 2001.

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Contemporary musicians: Profiles of the people in music. Gale Group :Thomson Gale, 2004.

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Book chapters on the topic "Big Five dimensions"

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Klages, Helmut, and Thomas Gensicke. "Wertewandel und die Big Five-Dimensionen." In Persönlichkeit. VS Verlag für Sozialwissenschaften, 2005. http://dx.doi.org/10.1007/978-3-322-95689-7_16.

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Habyarimana, Ephrem, and Sofia Michailidou. "Genomics Data." In Big Data in Bioeconomy. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-71069-9_6.

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AbstractIn silico prediction of plant performance is gaining increasing breeders’ attention. Several statistical, mathematical and machine learning methodologies for analysis of phenotypic, omics and environmental data typically use individual or a few data layers. Genomic selection is one of the applications, where heterogeneous data, such as those from omics technologies, are handled, accommodating several genetic models of inheritance. There are many new high throughput Next Generation Sequencing (NGS) platforms on the market producing whole-genome data at a low cost. Hence, large-scale genomic data can be produced and analyzed enabling intercrosses and fast-paced recurrent selection. The offspring properties can be predicted instead of manually evaluated in the field . Breeders have a short time window to make decisions by the time they receive data, which is one of the major challenges in commercial breeding. To implement genomic selection routinely as part of breeding programs, data management systems and analytics capacity have therefore to be in order. The traditional relational database management systems (RDBMS), which are designed to store, manage and analyze large-scale data, offer appealing characteristics, particularly when they are upgraded with capabilities for working with binary large objects. In addition, NoSQL systems were considered effective tools for managing high-dimensional genomic data. MongoDB system, a document-based NoSQL database, was effectively used to develop web-based tools for visualizing and exploring genotypic information. The Hierarchical Data Format (HDF5), a member of the high-performance distributed file systems family, demonstrated superior performance with high-dimensional and highly structured data such as genomic sequencing data.
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Pham, Chi Minh. "Building a Maturity Framework for Big Data Cybersecurity Analytics." In Advances in Business Strategy and Competitive Advantage. IGI Global, 2019. http://dx.doi.org/10.4018/978-1-5225-5718-0.ch009.

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In recent years, big data analytics has become widely applied in cybersecurity, leading to the novel approach of big data cybersecurity analytics. While some organizations have been adopting this new approach in tackling cybercrime, there are limited guidelines to which companies can refer. Therefore, the renowned maturity model concept, which offers a systematic approach for an organization to measure and improve its maturity level, is applied in this study. On the basis of a comprehensive literature review, this chapter proposes a maturity framework for big data cybersecurity analytics. This synthesized comprehensive maturity framework comprises seven dimensions across five stage levels—namely organization, human, infrastructure, data management, analytics application, governance, and security dimensions. Knowing which dimensions need to be improved and which pathway to follow ensures the successful implementation of big data cybersecurity analytics within organizations.
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Pham, Chi Minh. "Building a Maturity Framework for Big Data Cybersecurity Analytics." In Research Anthology on Privatizing and Securing Data. IGI Global, 2021. http://dx.doi.org/10.4018/978-1-7998-8954-0.ch017.

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In recent years, big data analytics has become widely applied in cybersecurity, leading to the novel approach of big data cybersecurity analytics. While some organizations have been adopting this new approach in tackling cybercrime, there are limited guidelines to which companies can refer. Therefore, the renowned maturity model concept, which offers a systematic approach for an organization to measure and improve its maturity level, is applied in this study. On the basis of a comprehensive literature review, this chapter proposes a maturity framework for big data cybersecurity analytics. This synthesized comprehensive maturity framework comprises seven dimensions across five stage levels—namely organization, human, infrastructure, data management, analytics application, governance, and security dimensions. Knowing which dimensions need to be improved and which pathway to follow ensures the successful implementation of big data cybersecurity analytics within organizations.
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"THE BIG BANG REVISITED." In Five-Dimensional Physics. WORLD SCIENTIFIC, 2006. http://dx.doi.org/10.1142/9789812774231_0002.

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Liu, Shu, Ying Liu, Huimin Jiang, Zhongjie Wang, and Xiaofei Xu. "Service Quality Evaluation Method for Community-Based Software Outsourcing Process." In Best Practices and New Perspectives in Service Science and Management. IGI Global, 2013. http://dx.doi.org/10.4018/978-1-4666-3894-5.ch001.

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Community-based software development is a promising model to help reduce the pressures such as development costs, human resources access, new market development, and building business competencies. But the big concern is how to ensure the quality of the outsourcing service. In this paper, a service quality evaluation method for community-based software outsourcing process has been proposed. A service quality indicator model with three layers and five dimensions is explained and applied to community-based software outsourcing service supported by Call-For-Implementation (CFI) platform. The calculation method for each quality indicator is demonstrated in detail. A prototype is developed to support the evaluation process and exhibit results of quality evaluation for the community-based software outsourcing based on CFI. This prototype not only measures and displays the status of service quality in real-time, but also provides history data to guide software outsourcing process management.
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Crisan, Daniela. "Face to Face(book)." In Advances in Social Networking and Online Communities. IGI Global, 2015. http://dx.doi.org/10.4018/978-1-4666-7401-1.ch003.

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This chapter discusses personality traits of Facebook users, how personality traits and motivations explain Facebook use, and the potential beneficial and detrimental effects of Internet usage, in general, and online social networking sites usage, in particular, on social and psychological well-being. First, the author provides short definitions of concepts such as social media and Social Network Sites (SNS). Next, the author describes Nadkarni and Hofmann's (2012) two-factor model of motives associated with Facebook use, including the need to belong and the need for self-presentation. Afterwards, a literature review of the most cited studies on the association between Facebook use and personality traits, as conceptualized by the Big Five Model (Costa &amp; McCrae, 1992), is provided, followed by research on the relationships between Facebook use and psychological dimensions, such as self-esteem, loneliness, narcissism, self-worth, and depression and suicide. Finally, conclusions are drawn and final remarks are made.
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Zhang, Heng, Lei Zhang, Chuntao Song, and Xinzhou Cheng. "Five-dimension labeled 4G user immigration model based on big data analysis." In Signal and Information Processing, Networking and Computers. CRC Press, 2016. http://dx.doi.org/10.1201/b21308-36.

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Herbert, Ruth. "Absorption and openness to experience: An everyday tale of traits, states, and consciousness change with music." In Music and Consciousness 2. Oxford University Press, 2019. http://dx.doi.org/10.1093/oso/9780198804352.003.0014.

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In what ways may individual differences in personality, age, and training shape subjective experiences with and of music? And how far is it possible to determine whether particular personality characteristics may predict the capacity for certain subtle shifts of consciousness such as episodes of spontaneous, effortless involvement? This chapter examines the construct of openness (the fifth and most variably defined ‘Big Five’ dimension) and the associated subconstruct of absorption, both of which have attracted increasing attention from researchers in the last five years. Drawing on a subset of findings from a mixed-methods study of 10–18 year olds’ involvement in music in daily life, the chapter outlines what trait and state models can and cannot reveal about the phenomenology of musical consciousness.
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Sciullo, Alessandro, and Sylvie Occelli. "A Territorial Dimension Can Be Useful for Managing Long-Term Regional Road Safety." In Spatial Planning in the Big Data Revolution. IGI Global, 2019. http://dx.doi.org/10.4018/978-1-5225-7927-4.ch011.

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Analysis of road crashes at the local level is necessary for targeting and implementing effective countermeasures. This chapter presents a contribution to this task. It describes the research carried out in Piedmont, Italy, where an exploratory approach has been used to link road crash data with information about the spatial characteristics of urban settlements. The analytic strategy is developed in three steps. First, fine-grained spatial data for road crashes, land use, traffic counts, and population distribution are linked by GIS methods. Second, a selection of the data is implemented at the municipality level and processed through a cluster analysis to identify territorial accident profiles. Finally, to show their analytic potential, one case study is discussed that considers road segments as main observation units.
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Conference papers on the topic "Big Five dimensions"

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Müller, Sarah Luisa, and Anja Richert. "The Big-Five Personality Dimensions and Attitudes to-wards Robots." In PETRA '18: The 11th PErvasive Technologies Related to Assistive Environments Conference. ACM, 2018. http://dx.doi.org/10.1145/3197768.3203178.

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Harini, Hegar, Unifah Rosyidi, and Neti Karnati. "The Influence of the Big Five of Personality Dimensions towards Principal’s Normative Commitment." In Proceedings of the Padang International Conference on Educational Management And Administration (PICEMA 2018). Atlantis Press, 2019. http://dx.doi.org/10.2991/picema-18.2019.26.

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Favaretto, Rodolfo Migon, and Soraia Raupp Musse. "Emotion, Personality and Cultural Aspects in Crowds: towards a Geometrical Mind." In XXXII Conference on Graphics, Patterns and Images. Sociedade Brasileira de Computação - SBC, 2019. http://dx.doi.org/10.5753/sibgrapi.est.2019.8308.

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In this work we proposed a computational model to extract pedestrian characteristics from video sequences. The proposed model considers a series of characteristics of the pedestrians and the crowd, such as number and size of groups, distances, speeds, among others, and performs the mapping of these characteristics in personalities, emotions and cultural aspects, considering the Cultural Dimensions of Hofstede (HCD), the Big-Five Personality Model (OCEAN) and the OCC Emotional Model. The main hypothesis is that there is a relationship between so-called intrinsic human variables (such as emotion) and the way people behave in space and time. As one of the main contributions, four large dimensions of geometric characteristics (Big4GD) were proposed: I - Physical, II - Personal and Emotional, III - Social and IV - Cultural, which seek to describe the behavior of pedestrians and groups in the crowd. The GeoMind tool was developed for the purpose of detecting the four geometric dimensions from video sequences. In addition, several analyzes were carried out with the purpose of validating the proposed model, from comparing results with the literature, including the comparison of spontaneous multitudes from several countries and controlled experiments involving Fundamental Diagrams.
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Lei, Zhipeng, and James Yang. "Mesh Generation With a Standardized Headform for CFD Simulations of Particle Aspiration." In ASME 2015 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2015. http://dx.doi.org/10.1115/detc2015-47205.

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The aspiration of contaminated airborne particles is a big concern for healthcare workers. Computational Fluid Dynamics (CFD) method has been widely used to simulate breathing airflow and particle aspiration. In CFD simulations of particle aspiration, digital human heads have been integrated into chamber models for mesh generation. Facial dimensions influence the breathing flow pattern and the particle aspiration in the literature; however the existing CFD studies have never included standardized headforms developed from an anthropometric survey of a large American worker population. This study proposed a CFD mesh generation method for particle aspiration simulations based on a medium size standardized headform. The medium headform is one of five National Institute for Occupational Safety and Health (NIOSH) standardized headforms that represent U.S. healthcare workers. To simulate a headform sitting in the middle of a chamber, the volume between the headform and the chamber was meshed. A boundary layer of prism elements covered the headform surface, and a tetrahedral mesh filled the rest of the volume. As an application of the CFD meshes, CFD simulations for particle aspiration were conducted. Velocity fields in the chamber, inhalation flow patterns, and aspiration efficiencies were determined. Further, a grid independency study verified the simulation results and the quality of the CFD meshes.
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Wang, Kun-Chi, Sheng-Han Tung, Wei-Chih Chen, and Zi-Chi Zhao. "Five-dimensional Simulation of Bridge Engineering Based on BIM and VR." In 37th International Symposium on Automation and Robotics in Construction. International Association for Automation and Robotics in Construction (IAARC), 2020. http://dx.doi.org/10.22260/isarc2020/0173.

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Ying Xie, Kai Qian, and Jing He. "Multi-dimensional and customizable open-source labware for promoting big data analytical skills in STEM education." In 2016 IEEE Frontiers in Education Conference (FIE). IEEE, 2016. http://dx.doi.org/10.1109/fie.2016.7757700.

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Kaci, Lila, Sébastien Briot, Clément Boudaud, and Philippe Martinet. "RobEcolo: Optimal Design of a Wooden Five-Bar Mechanism." In 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/detc2018-85218.

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Eco-design of robots has almost never be en explored in the past. This work investigates the potential of using bio-sourced materials, which have almost no environmental impact, instead of metals for robot design. Also, wood is one of the best candidates because of its interesting mechanical properties. However, wood performance / dimensions vary with the atmospheric conditions / external solicitations. Thus, it is challenging to design a stiff and accurate wooden industrial robot. Therefore, the objective of this paper is to describe a new design methodology leading to the design a wooden five-bar mechanism reliable in terms of accuracy and stiffness. The design optimization problem is solved in cascade. The first optimization process proposes to use a control-based design approach in order to compute the optimal primary geometric parameters of the robot (lengths of the links). This approach takes into account the sensor-based controller performance during the design phase. The second optimization process deals with the issue of the variability of the wood mechanical performance. It is based on a reliable topology optimization approach and allows for finding the shape of the robot links for which the impact of this variability in terms of deformation is minimized. Theoretical developments are described, solved and the obtained results allowed the prototyping of an industrial wooden five-bar mechanism.
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Elsner, Jonathan J., Keren Hakshur, Avi Shterling, Eran Linder-Ganz, and Noam Eliaz. "A Novel Method for Magnetic Isolation and Characterization of Polycarbonate-Urethane Wear Particles." In ASME 2010 Summer Bioengineering Conference. American Society of Mechanical Engineers, 2010. http://dx.doi.org/10.1115/sbc2010-19049.

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Ferrography is a method for separating wear particles onto a slide. The method is based on the interaction between an external magnetic field and the magnetic moments of the particles suspended in a flow stream. It is advantageous in providing high detectability rate for a relatively large range of particle sizes (0.5–200 μm) [1]. A newer generation of ferrography, known as Bio-Ferrography, allows particles from five fluid samples to be isolated simultaneously on one slide and analyzed in terms of their number, chemistry, shape, dimensions, surface morphology, structure, etc. Since magnetization does not naturally occur in polymeric and biological materials, wear particles of such origins must be magnetized prior to Bio-Ferrography. This can be done, for instance, by binding to a ferromagnetic element, such as Er+3, originating from erbium chloride (ErCl3) solution. Such Bio-Ferrography technology has already been applied successfully in hip wear simulations for the separation of ultrahigh molecular weight polyethylene (UHWPE) wear debris suspended in bovine serum as lubricant [2].
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Tang, Fang-Ping, Chao Liu, Ji-Ren Zhou, Hua Yang, and Li Cheng. "PIV Measurements and CFD Analysis in an Axial-Flow Pump." In ASME/JSME 2007 5th Joint Fluids Engineering Conference. ASMEDC, 2007. http://dx.doi.org/10.1115/fedsm2007-37527.

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In this study, an axial flow pump impeller without guide vanes is experimentally investigated. The impeller used in the experiments consists of four blades. The particle image velocimetry technique and a five-hole probe have been used. Measurements of flow velocities in the outer part of the impeller have been made. PIV measurements have been realized in 12 meridian planes between blade-to-blade for design and off-design operating conditions. The meridian velocity is obtained with phase averaged method and the total circumferential mean velocity is obtained with an arithmetical average over the 12 circumferential data. The calculation is based on the CFX-TASC flow CFD code solving the three-dimensional Reynolds-averaged Navier-Stokes equation with RNG k–ε model of turbulence. The paper focuses on the comparisons of the results. Difference for the flow field between numerical and experimental results is small at large and design flow rate, while big difference occurs at small flow rate. It indicates that the numerical model is not suitable for separation flow.
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V. B. Jeronymo, Pedro, and Carlos D. Maciel. "Fast Markov Blanket Discovery Without Causal Sufficiency." In Congresso Brasileiro de Automática - 2020. sbabra, 2020. http://dx.doi.org/10.48011/asba.v2i1.1663.

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Faster feature selection algorithms become a necessity as Big Data dictates the zeitgeist. An important class of feature selectors are Markov Blanket (MB) learning algorithms. They are Causal Discovery algorithms that learn the local causal structure of a target variable. A common assumption in their theoretical basis, yet often violated in practice, is causal sufficiency: the requirement that all common causes of the measured variables in the dataset are also in the dataset. Recently, Yu et al. (2018) proposed the M3B algorithm, the first to directly learn the MB without demanding causal sufficiency. The main drawback of M3B is that it is time inefficient, being intractable for high-dimensional inputs. In this paper, we derive the Fast Markov Blanket Discovery Algorithm (FMMB). Empirical results that compare FMMB to M3B on the structural learning task show that FMMB outperforms M3B in terms of time efficiency while preserving structural accuracy. Five real-world datasets where used to contrast both algorithms as feature selectors. Applying NB and SVM classifiers, FMMB achieved a competitive outcome. This method mitigates the curse of dimensionality and inspires the development of local-toglobal algorithms.
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