61 resultados para Big five factor model

em Deakin Research Online - Australia


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Objective: This study assessed the degree to which NEO-PI-R facets contribute to understanding of Type D personality over and above the Big 5. Method: Healthy participants (n = 268) completed the DS14 and the NEO-PI-R. In addition to analyzing the Type D subscales of social inhibition and negative affectivity, we computed a continuous measure of Type D scored as the sum of the two subscales. Results: Facets provided moderate incremental prediction of Type D subscales. The facets of assertiveness, self- consciousness, and positive emotion provided incremental prediction of negative affectivity, and warmth, activity, and gregariousness provided incremental prediction of social inhibition. Facets provided minimal incremental prediction of continuous Type D. The Big 5 explained substantially more variance in continuous Type D (71%) than negative affectivity (59%) or social inhibition (61%). Conclusions: Overall, the facet-level analysis provided additional insights into the nature of Type D. The incremental prediction of the Type D subscales by facets supported the idea that Type D scales are narrower constructs than the Big 5. However, the strong prediction of continuous Type D by the Big 5 and the lack of incremental prediction by facets points to the overall Type D construct being well represented by the Big 5.

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This study investigated the relation between the five-factor model (FFM) of personality trait domains and leadership effectiveness. Ninety-nine Australian Army commissioned officers completed the NEO Personality Inventory-Revised (NEO-PI-R; Costa & McCrae, 1992) and were rated by their superior officer on the Australian Army annual leadership effectiveness evaluation schedule. Participants indicated whether they had been selected to attend a leadership promotion course at the Army Command and Staff College, widely regarded within the Army as indicative of an officer's effectiveness. It was hypothesized that leadership effectiveness would be predicted by the personality trait domains of high Conscientiousness, Openness, Agreeableness, and Extraversion and by low Neuroticism. High Conscientiousness and low Extraversion scores predicted high leadership effectiveness and the likelihood of attending the leadership promotion course. High Openness scores also predicted the likelihood of attending the promotion course. The results support the utility of the FFM in exploring the role of personality in leadership effectiveness among military leaders.

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Software testing is the process of an execution based investigation of some aspects of the software's quality. The efficiency of the process depends on the methods and technologies used, but crucially also on the human testers. Software testers typically attempt to anticipate and expose ways software may be defective, a fundamentally different task set to those of other software development practitioners. This raises the question of whether the personality of software testers may be different to other people involved in software development. To test this hypothesis, we collected personality profiles using the big five factor model of around 200 software development practitioners. Analysis of this data indicates that software testers are significantly higher on the conscientiousness factor than other software development practitioners, while other factors remain broadly consistent.

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Despite considerable research on personality and "hedonic" or subjective well-being, parallel research on "eudaimonic" or psychological well-being is scarce. The current study investigated the relationship between the Big Five traits and subjective and psychological well-being among 211 men and women. Results indicated that the relationship between personality factors and psychological well-being was stronger than the relationship between personality factors and subjective well-being. Extraversion, neuroticism, and conscientiousness correlated similarly with both subjective and psychological well-being, suggesting that these traits represent personality predispositions for general well-being. However, the personality correlates of the dimensions within each broad well-being type varied, suggesting that the relationship between personality and well-being is best modeled in terms of associations between specific traits and well-being dimensions.

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To date there has been very little empirical analysis of the Balanced Scorecard (BSC) within the marketing literature. With measuring performance being a central issue in marketing and the BSC being one of the most utilised approaches, this paper investigates the BSC and its factor structure. This research tested independently the “goodness-of-fit” of both the traditional four-factor model and a later five-factor model, which included an “employee/human resource” dimension. Data were collected from a sample of medium-tolarge Australian businesses. Factor analysis was conducted on the two alternative factor structures, revealing that the five-factor model fits the observed data as well as does the fourfactor model, supporting the inclusion of an “employee/human resource” perspective in future BSC models.

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This research developed two best-fitting structural equation models of risk factors for adolescent depression and suicidality: a core model, which included parenting factors, gender, depression, and suicidality, and an extended model, which also encompassed personality traits (Introversion and Impulsivity) and mood factors (Anxiety and Anger). Further, this research investigated the consistency of model fit across time (Le., 1 month & 12 months) and samples, and explored the effectiveness of the ReachOut! Internet site as a psychoeducational prevention strategy for adolescent depression and suicidality. Gender, age, and location differences were also explored. Participants were 185 Year-9 students and 93 Year-10 students aged 14 - 16 years, from seven secondary schools in regional and rural Victoria. Students were given a survey which included the Parental Bonding Instrument (Parker, Tupling, & Brown, 1979), the Millon Adolescent Personality Inventory (Millon, Green, & Meagher, 1982), the Profile of Mood States Inventory (McNair & Lorr, 1964), items on suicidal behaviour including some questions from the Revised Adolescent Suicide Questionnaire (Pearce & Martin, 1994), and questions on loss and general demographics. Results supported an indirect model of risk factors, with family factors directly influencing personality factors, which in turn influenced mood factors, including depression, which then influenced suicidality. At the theoretical level, results supported Attachment Theory (Bowlby, 1969), demonstrating that perceived parenting styles that are warm and not overly controlling are more conducive to an adolescent's emotional well-being than are parenting styles that are cold and controlling. Further, results supported Millon's theory of personality (1981), demonstrating that parenting style influences a child's personality. Short-term intervention effects from the internet site were a decrease in Introversion for the full sample, and decreased Inhibition and Suicidality for a high-risk subgroup. Long-term age effects were decreased Inhibition and increased Anxiety for the fall sample. There was also a probable intervention effect for Depression for the high-risk subgroup. No location differences for the risk factors were found between regional and rural areas.

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Joint analysis of multiple data sources is becoming increasingly popular in transfer learning, multi-task learning and cross-domain data mining. One promising approach to model the data jointly is through learning the shared and individual factor subspaces. However, performance of this approach depends on the subspace dimensionalities and the level of sharing needs to be specified a priori. To this end, we propose a nonparametric joint factor analysis framework for modeling multiple related data sources. Our model utilizes the hierarchical beta process as a nonparametric prior to automatically infer the number of shared and individual factors. For posterior inference, we provide a Gibbs sampling scheme using auxiliary variables. The effectiveness of the proposed framework is validated through its application on two real world problems - transfer learning in text and image retrieval.

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The aim of this study was to explore the relationship between consumer personality and brand personality as measured by constructs refl ecting The Big Five dimensions in the context of fashion products. The fi ndings of the study show that some dimensions of The Big Five constructs are signifi cantly related to preferences on particular dimensions of brand personality. It was found that consumers who exhibit a Conscientious personality demonstrate preferences towards ‘ Trusted ’ brands. In contrast, those who are Extrovert in nature are motivated by ‘ Sociable ’ brands. Findings related to gender reveal that male and female consumers differ in how they express their personality when it comes to brand personality. Male respondents who are dominant on the Neuroticism dimension prefer ‘ Trusted ’ brand, whereas ‘ Trusted ’ brand is preferred by females who are dominant on the Conscientiousness dimension. The results of this study will inform brand managers about how to tailor specifi c marketing strategies such that brand personalities communicated to consumers are congruent with their personalities.

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Evidence from our systematic literature review revealed numerous inconsistencies in findings from the Pair Programming (PP) literature regarding the effects of personality on PP's effectiveness as a pedagogical tool. In particular: i) the effect of differing personality traits of pairs on the successful implementation of pair-programming (PP) within a higher education setting is still unclear, and ii) the personality instrument most often used had been Myers-Briggs Type Indicator (MBTI), despite being an indicator criticized by personality psychologists as unreliable in measuring an individual's personality traits. These issues motivated the research described in this paper. We conducted a series of five formal experiments (one of which was a replicated experiment), between 2009 and 2010, at the University of Auckland, to investigate the effects of personality composition on PP's effectiveness. Each experiment looked at a particular personality trait of the Five-Factor personality framework. This framework comprises five broad traits (Openness to experience, Conscientiousness, Extraversion, Agreeableness, and Neuroticism), and our experiments focused on three of these - Conscientiousness, Neuroticism, and Openness. A total of 594 undergraduate students participated as subjects. Overall, our findings for all five experiments, including the replication, showed that Conscientiousness and Neuroticism did not present a statistically significant effect upon paired students' academic performance. However, Openness played a significant role in differentiating paired students' academic performance. Participants' survey results also indicated that PP not only caused an increase in satisfaction and confidence levels but also brought enjoyment to the tutorial classes and enhanced students' motivation.

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Health literacy is an important construct in population health and healthcare requiring rigorous measurement. The Health Literacy Questionnaire (HLQ), with nine scales, measures a broad perception of health literacy. This study aimed to adapt the HLQ to the Danish setting, and to examine the factor structure, homogeneity, reliability and discriminant validity. The HLQ was adapted using forward-backward translation, consensus conference and cognitive interviews (n = 15). Psychometric properties were examined based on data collected by face-to-face interview (n = 481). Tests included difficulty level, composite scale reliability and confirmatory factor analysis (CFA). Cognitive testing revealed that only minor re-wording was required. The easiest scale to respond to positively was 'Social support for health', and the hardest were 'Navigating the healthcare system' and 'Appraisal of health information'. CFA of the individual scales showed acceptably high loadings (range 0.49-0.93). CFA fit statistics after including correlated residuals were good for seven scales, acceptable for one. Composite reliability and Cronbach's α were >0.8 for all but one scale. A nine-factor CFA model was fitted to items with no cross-loadings or correlated residuals allowed. Given this restricted model, the fit was satisfactory. The HLQ appears robust for its intended application of assessing health literacy in a range of settings. Further work is required to demonstrate sensitivity to measure changes.

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This thesis concerns the psychological contracts of employees. A psychological contract is an employee’s perception that: 1) an employer has certain obligations to them, and 2) in return, they have obligations as employees. A psychological contract is therefore a set of subjectively perceived reciprocal obligations. The psychological foundations of this construct are linked with cognitive schemas and social exchange theories. While the concept of psychological contracts was first proposed in the early 1960s, it has only been operationalised for empirical study in the last decade. The purpose of the thesis was to increase the understanding of the content and structure of employee psychological contracts and their links with career cognitions. The specific aims of the thesis were to: 1) examine the relational-transactional dimensions of psychological contracts, 2) develop a comprehensive set of workplace obligations for use with employees, 3) consider alternative dimensions of employee psychological contracts, 4) demonstrate reciprocity between obligations, and 5) determine whether psychological contracts directly affect career cognitions. The thesis contains four quantitative studies. Data were collected using self-report questionnaires that contained both established and new measures. Most participants were employees from a large insurance company, government vocational services or educational institutions. The analyses included canonical correlation, factor analysis, development of measurement models and structural analysis. The findings did not strongly support a distinction between relational and transactional obligations. Instead, a five-factor model of psychological contracts emerged from an expanded set of workplace obligations when it was used with two separate employee samples. This model demonstrated reciprocal relationships between the dimensions of employee and employer obligations. It was also found that alternative dimensions of the psychological contract have a direct influence on organisational commitment and career satisfaction. The thesis supports several general conclusions about the nature of employee psychological contracts, appropriate measures and future research. General workplace obligations that apply across different workplaces can be found, and these should continue to be refined. Such workplace obligations group in meaningful ways, and they can be usefully studied in terms of employer support and employee attitudes to work, rather than in terms of relational and transactional dimensions. Furthermore, this thesis shows that reciprocity in psychological contracts can be demonstrated by correlations between dimensions of employee and employer obligations. The measure used for studying reciprocity was new, and it requires further work. However, this measure is as reliable and valid as any currently available. Measurement is the single most urgent issue facing researchers. Finally, this thesis provides sufficient empirical evidence to support the claim that psychological contracts are an important variable for the understanding of careers.

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This study demonstrated the validity of the Five-Factor Model (FFM) of personality trait domains over a measure of general cognitive ability in predicting training performance among military trainees. The results provide support to the growing consensus on the superiority of the FFM traits in predicting criteria on practical importance.

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This empirical research of tourists’ cultural experiences aims to advance theory by developing a measurement model of attitudes towards attending cultural experiences for a sample of international tourists visiting Melbourne, Australia. Exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) were used to cross-validate the underlying dimensionality structure of cultural experience attitudes in the model. A five-factor model was extracted from the EFA and some further modifications were required to establish discriminant validity. A four-factor model was retained in the CFA, which included three factors based on a liking for different types of cultural experiences and one factor indicating that social interaction was the most liked socio-psychological attitude towards attending cultural experiences. Although the sample were all English-speaking international tourists, cross-cultural validation of the model was also examined for factor configural and metric invariance of the measurement model as there were three different groups of international tourists within the sample: North Americans; New Zealanders; and tourists from United Kingdom and Ireland. This measurement structure was found to be relatively invariant for the factor loadings across the three groups of international tourists.