Introduction to the empirical and theoretical status of the five-factor model of personality traits.

McCrae, Robert R.; Costa, Paul T.

doi:10.1037/13939-002

Cited by 269 publications

(290 citation statements)

References 64 publications

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“…On the other hand, the model has received not little criticism by personality psychologists [44,45,46] regarding the number of factors describing personality and the nature of the factors themselves. However, the model has gained a wide acceptance in literature, being today a default model of personality structure [47].…”

Section: Personality Models Metrics and Other Psychometric Instrumentsmentioning

confidence: 99%

Personality, emotional intelligence and work preferences in software engineering: An empirical study

Kosti

Feldt

Angelis

2014

Information and Software Technology

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Context: There is an increasing awareness among Software Engineering (SE) researchers and practitioners that more focus is needed on understanding the engineers developing software. Previous studies show significant associations between the personalities of software engineers and their work preferences.Objective: Various studies on personality in SE have found large, small or no effects and there is no consensus on the importance of psychometric measurements in SE. There is also a lack of studies employing other psychometric instruments or using larger datasets. We aim to evaluate our results in a larger sample, with software engineers in an earlier state of their career, using advanced statistics.Method: An operational replication study where extensive psychometric data from 279 master level students have been collected in a SE program at a Swedish University. Personality data based on the Five-Factor Model, Trait Emotional Intelligence Questionnaire and Self-compassion have been collected. Statistical analysis investigated associations between psychometrics and work preferences and the results were compared to our previous findings from 47 SE professionals.Results: Analysis confirms existence of two main clusters of software engineers; one with more "intense" personalities than the other. This corroborates our earlier results on SE professionals. The student data also show similar associations between personalities and work preferences. However, for other associations there are differences due to the different population of subjects. We also found connections between the emotional intelligence and work preferences, while no associations were found for self-compassion. Conclusion:The associations can help managers to predict and adapt projects and tasks to available staff. The results also show that the Emotional Intelligence instrument can be predictive. The research methods and analytical tools we employ can detect subtle associations and reflect differences between different groups and populations and thus can be important tools for future research as well as industrial practice.

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Section: Personality Models Metrics and Other Psychometric Instrumentsmentioning

confidence: 99%

Personality, emotional intelligence and work preferences in software engineering: An empirical study

Kosti

Feldt

Angelis

2014

Information and Software Technology

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“…/ facets-2017 Personality has been studied extensively in relation to life satisfaction. The default model of personality is the Five-Factor Model (McCrae and Costa 2013). This model is comprised of five personality characteristics: neuroticism, extraversion, openness, agreeableness, and conscientiousness.…”

Section: Open Accessmentioning

confidence: 99%

Personality and perfectionism as predictors of life satisfaction: The unique contribution of having high standards for others

Fowler

Davis

Both

et al. 2018

FACETS

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Life satisfaction is directly related to positive mental and physical health outcomes. As such, the promotion of life satisfaction is desirable. To facilitate this process, it is beneficial to identify significant predictors of life satisfaction. Although previous research has established that personality is a reliable predictor of life satisfaction, personality is not easily modifiable. In contrast, perfectionism can be effectively adapted with appropriate therapy, leading to decreases in mental illness symptomology. The present study sought to determine if different aspects of perfectionism predicted life satisfaction beyond the influence of personality. A total of 448 online participants (75% female) completed questionnaires assessing life satisfaction, perfectionism, and personality. Results of a hierarchical multiple regression analysis revealed that lower scores on neuroticism (being emotionally stable; p < 0.001) and higher scores on extraversion (p < 0.001) and conscientiousness (p = 0.003) significantly predicted life satisfaction. In addition, one aspect of perfectionism, high standards for others (p = 0.001), positively predicted life satisfaction beyond the influence of personality. We suggest that encouraging individuals to hold others to high standards is an effective strategy that may foster shared goals and achievements, which in turn may improve overall life satisfaction.

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“…15 Furthermore, openness has been consistently correlated with elements of CAM, including general CAM use, 5 breadth of CAM therapies tried, 6 and use of mind-body practices. 7,8 Those who are agreeable are cooperative and empathetic, 12 which parallels critical components of mindfulness practice, including developing a sense of compassion toward others. A positive relationship has been found between agreeableness and willingness to use CAM practices in general 6 and CAM mind-body practices, including meditation, visualization, yoga, and t'ai chi.…”

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confidence: 99%

“…13 Of the five personality dimensions, it was expected to find that openness and agreeableness would be related to increased use of MBSR techniques. Those with high levels of openness are insightful and introspective 12 and have less parasympathetic and affective reactivity to stressful situations, 14 which resembles the open curiosity toward both internal and external experiences without reactivity inherent in mindfulness practice. 15 Furthermore, openness has been consistently correlated with elements of CAM, including general CAM use, 5 breadth of CAM therapies tried, 6 and use of mind-body practices.…”

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confidence: 99%

“…To conceptualize individual differences in personality dimensions relevant to MBSR use, this study used the well-validated Five-Factor Model of personality. 12 This model describes personality dispositions along five broad dimensions: neuroticism (negative affect, emotional instability), extraversion (sociability, activeness), openness to experience (curiosity, insightfulness), agreeableness (empathy, cooperativeness), and conscientiousness (efficiency, goal-directedness). Observational studies have found a relationship between these personality dimensions and use of complementary and alternative medicine (CAM) techniques in daily life, including methods such as reflexology, homeopathy, osteopathy, and energy healing, in addition to mind-body therapies, such as meditation and yoga.…”

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confidence: 99%

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Personality Predicts Utilization of Mindfulness-Based Stress Reduction During and Post-Intervention in a Community Sample of Older Adults

Barkan

Hoerger

Gallegos

et al. 2016

The Journal of Alternative and Complementary Medicine

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Objectives: Mindfulness-based stress reduction (MBSR) is a promising intervention for older adults seeking to improve quality of life. More research is needed, however, to determine who is most willing to use the four techniques taught in the program (yoga, sitting meditation, informal meditation, and body scanning). This study evaluated the relationship between the Big Five personality dimensions (neuroticism, extraversion, openness to experience, conscientiousness, and agreeableness) and use of MBSR techniques both during the intervention and at a 6-month follow-up. The hypothesis was that those with higher levels of openness and agreeableness would be more likely to use the techniques. Methods: Participants were a community sample of 100 older adults who received an 8-week manualized MBSR intervention. Personality was assessed at baseline by using the 60-item NEO Five-Factor Inventory. Use of MBSR techniques was assessed through weekly practice logs during the intervention and a 6-month followup survey. Regression analyses were used to examine the association between each personality dimension and each indicator of MBSR use both during and after the intervention. Results: As hypothesized, openness and agreeableness predicted greater use of MBSR both during and after the intervention, while controlling for demographic differences in age, educational level, and sex. Openness was related to use of a variety of MBSR techniques during and after the intervention, while agreeableness was related to use of meditation techniques during the intervention. Mediation analysis suggested that personality explained postintervention MBSR use, both directly and by fostering initial uptake of MBSR during treatment. Conclusions: Personality dimensions accounted for individual differences in the use of MBSR techniques during and 6 months after the intervention. Future studies should consider how mental health practitioners would use these findings to target and tailor MBSR interventions to appeal to broader segments of the population.

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Introduction to the empirical and theoretical status of the five-factor model of personality traits.

Cited by 269 publications

References 64 publications

Personality, emotional intelligence and work preferences in software engineering: An empirical study

Personality, emotional intelligence and work preferences in software engineering: An empirical study

Personality and perfectionism as predictors of life satisfaction: The unique contribution of having high standards for others

Personality Predicts Utilization of Mindfulness-Based Stress Reduction During and Post-Intervention in a Community Sample of Older Adults

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