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Journal articles on the topic "Big vie personality dimensions"
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Hasibuan, Nurjannah, Sri Hartini, and Rina Mirza. "EMOTIONAL LABOR DITINJAU DARI KEPRIBADIAN BIG FIVE PADA PERAWAT DI RUMAH SAKIT UMUM SARI MUTIARA MEDAN." Jurnal Psikologi TALENTA 4, no. 2 (March 29, 2019): 145. http://dx.doi.org/10.26858/talenta.v4i2.7694.
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This study aims to find out relationship between dimension big five personality with emotional labor. The research sample was all nurses working at Sari Mutiara Medan General Hospital, which amounted to 115 people, with a total sampling method.The data were collected via emotional labor scale with 48 item and big five personality scale (BFI) with 44 item. The results showed that there was a significant relationship between big five personality with emotional labor. Openness to experience were positively related to emotional labor with correlate coefficient 0.268 and sig. 0.003 (p<0.05), the other dimensions have negative relationships, including extraversion dimensions with correlate coefficient 0.052 and sig. 0.562 (p<0.005), agreeableness with correlate coefficient -0.129 and sig. 0.150 (p<0.05), conscientiousness with correlate coefficient 0.082 and sig. 0.363 (p<0.05) and neuroticism with correlate coefficient -0.104 and sig. 0.245 (p<0.05) were negatively related to emotional labor. The results also showed that the contribution of a given big five personality on emotional labor was 9 percent, while the remaining 91 percent was affected by other factors not examined. From the results, it can be concluded that the hypothesis stating that there is a significance relationship between big five personality and emotional labor.
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Bore, Miles, Kristin R. Laurens, Megan J. Hobbs, Melissa J. Green, Stacy Tzoumakis, Felicity Harris, and Vaughan J. Carr. "Item Response Theory Analysis of the Big Five Questionnaire for Children–Short Form (BFC-SF): A Self-Report Measure of Personality in Children Aged 11–12 Years." Journal of Personality Disorders 34, no. 1 (February 2020): 40–63. http://dx.doi.org/10.1521/pedi_2018_32_380.
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Prior investigations indicate that the five core personality dimensions (the “Big Five”) are measurable by middle childhood. The aim of this research was to examine the psychometric properties of a short-form self-report measure of the Big Five personality dimensions in children that would be suitable for administration online in large population-based studies. Twenty-five questionnaire items in English, derived from the 65-item Big Five Questionnaire for Children in Italian (Barbaranelli, Caprara, Rabasca, & Pastorelli, 2003), were completed online by 27,415 Australian children in Year 6 (mean age 11.92 years). An item response theory approach evaluated the psychometric properties and resolved a 20-item short-form questionnaire. Exploratory and confirmatory factor analyses supported the Big Five structure. Construct validity was demonstrated via correlations between Big Five scores and the Strengths and Difficulties Questionnaire subscales (Goodman, 2001). The 20 items provide a brief, reliable, and valid child self-report measure of the Big Five personality dimensions.
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Bardeen, Joseph R., and Jesse S. Michel. "Associations among dimensions of political ideology and Dark Tetrad personality features." Journal of Social and Political Psychology 7, no. 1 (April 5, 2019): 290–309. http://dx.doi.org/10.5964/jspp.v7i1.1071.
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Examinations of personality and political ideology have assessed political ideology as a unidimensional construct and primarily focused on the Big Five personality factors. The purpose of the present two-part study was to examine associations among political ideology (assessed using two dimensions [social and economic]) and Dark Tetrad traits in two samples of adults from the United States (N = 579 and 597). The combination of high economic conservatism and high social liberalism was associated with the highest levels of Machiavellianism and the combination of high social conservatism and high economic liberalism was associated with the highest levels of Narcissism. These effects were significant even after accounting for Big Five personality factors and when using a measure of political ideology that was comprised of multiple items for each dimension of political ideology. Implications include the potential application of our findings to altering political interpersonal dynamics. Additionally, study findings highlight the importance of examining political ideology via multiple dimensions to account for heterogeneity of political attitudes.
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Divjak, Marko, Valentina Prevolnik Rupel, and Tjaša Bartolj. "The Impact of Personality Dimensions on Study Behaviour and Study Attitudes of Online Students." Mednarodno inovativno poslovanje = Journal of Innovative Business and Management 11, no. 3 (December 23, 2019): 42–50. http://dx.doi.org/10.32015/jibm/2019-11-3-5.
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The objective of this study was to evaluate the impact of the Big Five personality dimensions on study attitudes and study behaviour of online students. Based on theoretical background, we proposed and tested the model, which assumes significant direct impact of personality dimensions on study attitudes and study behaviour and a bi-directional relationship between study attitudes and study behaviour.
Partial analyses of the interrelationships proposed in the model showed that personality dimensions exert a more powerful direct impact on study behaviour than on study attitudes, with conscientiousness being the strongest predictor of study behaviour. When personality dimensions are controlled, there is a significant moderate interrelationship between study behaviour and study attitudes. This indicates that personality dimensions may influence study attitudes indirectly via study behaviour. The results of structural equation modelling (SEM) revealed insufficient empirical evidence to support the model as a whole, which questions the validity of the proposed model.
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Demetriou, Andreas, George Spanoudis, Mislav Žebec, Maria Andreou, Hudson Golino, and Smaragda Kazi. "Mind-Personality Relations from Childhood to Early Adulthood." Journal of Intelligence 6, no. 4 (December 6, 2018): 51. http://dx.doi.org/10.3390/jintelligence6040051.
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We present three studies which investigated the relations between cognition and personality from 7 to 20 years of age. All three studies showed that general cognitive ability and the general factor of personality are significantly related throughout this age span. This relation was expressed in several ways across studies. The first investigated developmental relations between three reasoning domains (inductive, deductive, and scientific) and Eysenck’s four personality dimensions in a longitudinal-sequential design where 260 participants received the cognitive tests three times, and the personality test two times, covering the span from 9 to 16 years. It was found that initial social likeability significantly shapes developmental momentum in cognition and vice versa, especially in the 9- to 11-year period. The second study involved 438 participants from 7 to 17 years, tested twice on attention control, working memory, reasoning in different domains, and once by a Big Five Factors inventory. Extending the findings of the first, this study showed that progression in reasoning is affected negatively by conscientiousness and positively by openness, on top of attention control and working memory influences. The third study tested the relations between reasoning in several domains, the ability to evaluate one’s own cognitive performance, self-representation about the reasoning, the Big Five, and several aspects of emotional intelligence, from 9 to 20 years of age (N = 247). Network, hierarchical network, and structural equation modeling showed that cognition and personality are mediated by the ability of self-knowing. Emotional intelligence was not an autonomous dimension. All dimensions except emotional intelligence influenced academic performance. A developmental model for mind-personality relations is proposed.
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Imperio, Shellah Myra, A. Timothy Church, Marcia S. Katigbak, and Jose Alberto S. Reyes. "Lexical studies of Filipino person descriptors: adding personality‐relevant social and physical attributes." European Journal of Personality 22, no. 4 (June 2008): 291–321. http://dx.doi.org/10.1002/per.673.
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Lexical studies have focused on traits. In the Filipino language, we investigated whether additional dimensions can be identified when personality‐relevant terms for social roles, statuses and effects, plus physical attributes, are included. Filipino students (N = 496) rated themselves on 268 such terms, plus 253 markers of trait and evaluative dimensions. We identified 10 dimensions of social and physical attributes—Prominence, Uselessness, Attractiveness, Respectability, Uniqueness, Destructiveness, Presentableness, Strength, Dangerousness and Charisma. Most of these dimensions did not correspond in a one‐to‐one manner to Filipino or alternative trait models (Big Five, HEXACO, ML7). However, considerable redundancy was observed between the social and physical attribute dimensions and trait and evaluative dimensions. Thus, social and physical attributes communicate information about personality traits, and vice versa. Copyright © 2008 John Wiley & Sons, Ltd.
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Wang, Yameng, Nan Zhao, Xiaoqian Liu, Sinan Karaburun, Mario Chen, and Tingshao Zhu. "Identifying Big Five Personality Traits through Controller Area Network Bus Data." Journal of Advanced Transportation 2020 (October 19, 2020): 1–10. http://dx.doi.org/10.1155/2020/8866876.
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As adapting vehicles to drivers’ preferences has become an important focus point in the automotive sector, a more convenient, objective, real-time method for identifying drivers’ personality traits is increasingly important. Only recently has increased availability of driving signals obtained via controller area network (CAN) bus provided new perspectives for investigating personality differences. This study proposes a new methodology for identifying drivers’ Big Five personality traits through driving signals, specifically accelerator pedal angle, frontal acceleration, steering wheel angle, lateral acceleration, and speed. Data were collected from 92 participants who were asked to drive a car along a pre-defined 15 km route. Using statistical methods and the discrete Fourier transform, some time-frequency features related to driving were extracted to establish models for identifying participants’ Big Five personality traits. For these five personality trait dimensions, the coefficients of determination of effective predictive models were between 0.19 and 0.74, the root mean squared errors were between 2.47 and 4.23, and the correlations between predicted scores and self-reported questionnaire scores were considered medium to strong (0.56–0.88). The results showed that personality traits can be revealed through driving signals, and time-frequency features extracted from driving signals are effective in characterizing and identifying Big Five personality traits. This approach could be of potential value in the development of in-car integration or driver assistance systems and indicates a possible direction for further research on convenient psychometric methods.
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Hansen, Vincent, Sean Shih-Yao Liu, Stuart M. Schrader, Jeffery A. Dean, and Kelton T. Stewart. "Personality traits as a potential predictor of willingness to undergo various orthodontic treatments." Angle Orthodontist 83, no. 5 (February 1, 2013): 899–905. http://dx.doi.org/10.2319/070212-545.1.
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ABSTRACTObjective:To establish an association between patient personality traits and potential willingness to undergo various orthodontic treatments.Materials and Methods:One hundred adolescent individuals aged 12–16 years completed an anonymous electronic questionnaire via Survey Monkey. The 24-item questionnaire contained three major sections: patient demographics, a modified Big Five Inventory (BFI)-10 personality index, and a willingness to undergo treatment assessment. Multiple-variable linear regression analyses were used to determine the associations among age, gender, ethnicity, and the five personality traits simultaneously with willingness to undergo treatment. Statistical significance was set at P ≤ .05.Results:Ninety-six of the 100 individuals were included in the statistical analysis. Age, ethnicity, and gender failed to correlate with potential willingness to undergo orthodontic treatment. Several personality dimensions within the modified BFI-10 (agreeableness, conscientiousness, and neuroticism) were significantly associated with willingness to undergo various orthodontic treatments (P ≤ .05). Agreeableness demonstrated positive correlations with five treatment modalities, while both conscientiousness and neuroticism exhibited negative associations with a single treatment modality. Openness and extraversion were the only personality dimensions that failed to associate with any of the treatment modalities. Four of the nine treatment modalities had no association with patient demographics or a patient's personality dimensions.Conclusions:Personality traits are useful in predicting a patient's potential willingness to participate in various orthodontic treatments. The agreeableness dimension provided the most utility in predicting patient willingness. Age, ethnicity, and gender were not significant in predicting patient willingness.
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Sergi, Ida, Augusto Gnisci, Vincenzo P. Senese, and Marco Perugini. "The HEXACO-Middle School Inventory (MSI)." European Journal of Psychological Assessment 36, no. 4 (July 2020): 681–93. http://dx.doi.org/10.1027/1015-5759/a000538.
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Abstract. We developed and validated a novel measure, the 6-factor personality HEXACO-Middle School Inventory (MSI). We started with a pool of 16 items for each of the six dimensions of the HEXACO. In Study 1, we administered the HEXACO-MSI to 1,089 Italian children and the Observer version to their parents. Using principal component analyses (PCA) and extension factor analysis (EFA), we selected the best eight items for each dimension. Confirmatory factor analysis (CFA) confirmed the 6-factor dimensionality and its invariance. Internal consistency of each dimension was adequate. Convergent and divergent validity were successfully established with a version of the scale filled by parents. Convergent validity was also established with the Big Five Questionnaire – Children (BFQ-Children) whereas divergent validity was less clear-cut. Conscientiousness, Honesty-Humility, and eXtraversion demonstrated predictive validity of school marks (criterion validity). In Study 2 ( N = 317), we replicated dimensionality, internal consistency, and established test-retest reliability of each dimension in two measurements at a 1 month distance. The HEXACO-MSI showed a clear personality structure organized in six traits, and evidence of predictive validity of relevant school criteria particularly via Conscientiousness, Honesty-Humility, and eXtraversion.
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Harari, Gabriella M., Sumer S. Vaid, Sandrine R. Müller, Clemens Stachl, Zachariah Marrero, Ramona Schoedel, Markus Bühner, and Samuel D. Gosling. "Personality Sensing for Theory Development and Assessment in the Digital Age." European Journal of Personality 34, no. 5 (September 2020): 649–69. http://dx.doi.org/10.1002/per.2273.
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People around the world own digital media devices that mediate and are in close proximity to their daily behaviours and situational contexts. These devices can be harnessed as sensing technologies to collect information from sensor and metadata logs that provide fine–grained records of everyday personality expression. In this paper, we present a conceptual framework and empirical illustration for personality sensing research, which leverages sensing technologies for personality theory development and assessment. To further empirical knowledge about the degree to which personality–relevant information is revealed via such data, we outline an agenda for three research domains that focus on the description, explanation, and prediction of personality. To illustrate the value of the personality sensing research agenda, we present findings from a large smartphone–based sensing study ( N = 633) characterizing individual differences in sensed behavioural patterns (physical activity, social behaviour, and smartphone use) and mapping sensed behaviours to the Big Five dimensions. For example, the findings show associations between behavioural tendencies and personality traits and daily behaviours and personality states. We conclude with a discussion of best practices and provide our outlook on how personality sensing will transform our understanding of personality and the way we conduct assessment in the years to come. © 2020 European Association of Personality Psychology
Dissertations / Theses on the topic "Big vie personality dimensions"
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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.Thesis (M.A. (Industrial Psychology))--North-West University, Potchefstroom Campus, 2004.
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Stanley, Leanne M. "Flexible Multidimensional Item Response Theory Models Incorporating Response Styles." The Ohio State University, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=osu1494316298549437.
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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.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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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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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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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 factorsStandards, 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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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 dimensionsExtraversion, Neuroticism, Conscientiousness and Agreeableness) of emotional labor. Potential interaction effects of situational and dispositional variables on emotional labor
and long-term consequences of the construct were also examined. Data were collected from table servers working in café
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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Coetzee, Susanna Catherina. "Dispositional factors, experiences of team members and effectiveness in self-managing work teams / Susanna Catherina Coetzee." Thesis, North-West University, 2003. http://hdl.handle.net/10394/261.
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Changes in South Africa's political and economic sphere demand the
democratisation of the workplace, participation and empowerment of the work force.
Flatter hierarchical structures, as a result of downsizing, enhance involvement but
also demand that workers function in a more autonomous manner. The use of self-managing
work teams has increased in response to these competitive challenges.
Self-managing work teams are groups of employees who are fully responsible for a
well-defined segment of finished work that delivers a product or a service to an
internal or external customer. The functioning of self-managing work teams, in terms
of the systems model, can be described as certain inputs that help the team to
perform certain tasks and follow processes in order to achieve certain outputs.
Inputs include the motivation, skills and personality factors of team members, while
the tasks and processes refer to problem solving, conflict resolution, communication
and decision making, planning, quality control, dividing of tasks, training and
performance appraisal. These inputs and processes lead to outputs such as
efficiency, productivity and quality of work life.
To date empirical studies regarding self-managing work teams in South Africa
focused on the readiness of organisations for implementing these teams. Little
research has been done on characteristics of successful self-managed work group
members. Findings regarding members of self-managing work teams elsewhere in
the world couldn't uncritically be applied to South Africa, because of widely different
circumstances. Research on dispositional factors such as sense of coherence, self-efficacy,
locus of control and the big five personality dimensions could therefore help
to identify predictors of effectiveness that can be validated in consecutive studies for
selection purposes in a self-managing work team context in South Africa.
The objective of the research was therefore to determine the relationship between
dispositional characteristics of members of a self-managing work team and the
effectiveness and quality of work life of these members. A cross-sectional survey
design was used. The sample included members of self-managing work teams (N =
102) from a large chemical organisation and a financial institution in South Africa.
The Orientation to Life Questionnaire, a Self-efficacy Scale, the Locus of Control
Questionnaire and Personality Characteristics Inventory were used to measure the
dispositional variables. Quality of work life (measured as consisting of satisfaction,
commitment to the organisation and commitment to the team) and self-rated team
member effectiveness were used as dependent variables. Descriptive statistics,
Pearson and Spearman correlations, canonical correlations and structural equation
modelling were used to analyse the data and investigate the relationships between
the various dispositional characteristics quality of work life and effectiveness of the
team members.
The results showed practically significant positive relationships between sense of
coherence, self-efficacy, autonomy, external locus of control and internal locus of
control on the one hand, and quality of work life and effectiveness of the team
members of self-managing work teams on the other hand. Of the big five personality
dimensions only openness was associated with commitment to the team in terms of
the quality of work life. Stability, extraversion and openness were associated with
the self-rated effectiveness of the team members of self-managing work teams. The
structural equation modelling showed that there is a positive path from the
dispositional characteristics to the satisfaction, commitment and self-rated
effectiveness of the team members. The dispositional characteristics will also
enhance the members' experience of role clarity and mediate the effects of job-induced
tension on the members' self-rated effectiveness. Satisfaction of the team
members moderate the relationship between the dispositional characteristics and
commitment, as well as mediate the effects of job-induced tension on the
commitment of the team members.
Organisations implementing self-managing work teams can benefit from developing
and enhancing these dispositional characteristics in their selected team members
and could also validate these dispositional characteristics in terms of selection
criteria for self-managing work team members.Thesis (Ph.D. (Industrial Psychology))--North-West University, Potchefstroom Campus, 2004.
Books on the topic "Big vie personality 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.
Book chapters on the topic "Big vie personality dimensions"
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Crisan, Daniela. "Face to Face(book)." In Advances in Social Networking and Online Communities, 45–72. 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 & 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.
Conference papers on the topic "Big vie personality 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. New York, NY, USA: 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). Paris, France: 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.