Level and stability of self-esteem mediate relationships between personality traits and life satisfaction: Bayesian multilevel modeling with annual data.

This study examined the relationships among the Big Five personality traits, self-esteem levels, self-esteem stability, and life satisfaction over a 15-year period. The primary objectives were to examine whether: (1) self-esteem stability contributed to the prediction of life satisfaction beyond self-esteem level, and (2) both self-esteem level and stability mediated the associations between personality traits and life satisfaction. Bayesian multilevel modelling was conducted on a sample of Dutch adults (N = 4,880), with self-esteem stability operationalised using within-person variance and mean square successive difference. Results indicated that higher levels of self-esteem and self-esteem stability were significantly associated with greater life satisfaction. All Big Five traits predicted higher self-esteem level, while emotional stability and conscientiousness emerged as robust predictors of self-esteem stability with both stability operationalizations. Self-esteem level mediated the relationship between all personality traits and life satisfaction. However, self-esteem stability only mediated the effects of emotional stability and conscientiousness on life satisfaction across both operationalizations of stability. This study provides new insights into the importance of self-esteem stability, in addition to self-esteem level, in shaping well-being. These findings underscore self-esteem levels and dynamics as a crucial mechanism linking personality dispositions to life evaluations.

Personality maturation through sense of mastery? Longitudinal evidence from two education-to-work transition studies.

OBJECTIVE: Why personality changes in young adulthood remains a critical theoretical and empirical question. We studied personality change during the education-to-work transition, including mean-level personality change and its specific timing, the degree of individual variability in change, and the link between sense of mastery and personality change. METHODS: We used two intensive longitudinal studies. Study 1 included 5 waves of data across 2 years during the university-to-work transition (N = 309; mean-aged 25). Study 2 included 3 waves of data across 8 months during an internship-heavy teacher education program (N = 317; mean-aged 22). We measured personality traits and work-related mastery with questionnaires and personality states and general mastery with the experience sampling method. RESULTS: First, we found no evidence for mean-level personality maturation but decreases in trait Conscientiousness. Second, young adults differed significantly in personality trait and state change. Third, young adults with higher levels of work-related sense of mastery showed more positive changes in trait Conscientiousness. Decreases in general sense of mastery predicted later decreases in state Emotional Stability and vice versa. Change in general sense of mastery correlated with personality state change. CONCLUSIONS: Sense of mastery seems to be part of a dynamic short-term process underlying personality change in young adulthood.

RIASEC interests and the Big Five personality traits matter for life success-But do they already matter for educational track choices?

OBJECTIVE: Educational track choices have far-reaching consequences because they are associated with long-term life success. Theoretical approaches and previous empirical research have nearly exclusively identified family background and achievement as determinants of these choices. Although students' educational track choices might fit their personality, individual differences in personality have not been explored. We investigated the effects of two personality aspects-RIASEC interests and Big Five traits-on hierarchically ranked track choices (vocational vs. general educational track), alongside family background and achievement. METHOD: We used two German data sets (TOSCA 10 study: N = 473; TOSCA study: N = 4,218) focusing on choices between the general educational track (leading to higher educational attainment) and the vocational track (leading to work life) at two different stages in educational careers. We ran several multiple (logistic) regressions. RESULTS: The results showed that certain aspects of students' personality matter for educational track choices. Accordingly, across both studies, students with high Investigative or Enterprising interests more often chose the general educational track, whereas students with high Social or Conventional interests more often chose the vocational track-after the Big Five personality traits, achievement, and family background were controlled for. The Big Five traits showed no or only small significant associations with educational track choices. CONCLUSION: These findings underscore the importance of considering individual differences when investigating important life outcomes such as track choices.

School or Work? The Choice May Change Your Personality.

According to the social-investment principle, entering new environments is associated with new social roles that influence people's behaviors. In this study, we examined whether young adults' personality development is differentially related to their choice of either an academic or a vocational pathway (i.e., entering an academic-track school or beginning vocational training). The personality constructs of interest were Big Five personality traits and vocational-interest orientations. We used a longitudinal study design and propensity-score matching to create comparable groups before they entered one of the pathways and then tested the differences between these groups 6 years later. We expected the vocational pathway to reinforce more mature behavior and curtail investigative interest. Results indicated that choosing the vocational compared with the academic pathway was associated with higher conscientiousness and less interest in investigative, social, and enterprising activities.

Adolescents' Prosocial Behavior Predicts Good Grades Beyond Intelligence and Personality Traits.

OBJECTIVE: Researchers have demonstrated the prediction of academic functioning by children's prosocial behavior (PB). The goal of our study was to examine the contribution of adolescents' PB for middle and senior high school grades after controlling for stability of achievement and for intelligence, Big Five traits, and sociodemographic variables (i.e., sex and socioeconomic status). METHOD: Study 1 examined on 165 adolescents (48.5% boys) the prediction by peer-reported PB in 7th grade of academic achievement at the end of junior high school, after controlling for the above variables. Study 2 examined the prediction by 927 (52% girls) 8th graders' PB of academic achievement 5 years later, at the end of senior high school, taking into account the stability of grades, personality traits, and socio-structural variables. RESULTS: Overall, hierarchical regression analysis indicated in both studies PB and Openness significantly predicted better grades in the short term and over time despite the high stability of grades across 5 years. Extraversion negatively predicted academic achievement across 1 year in junior high school. CONCLUSION: Findings supported the view of PB as a strength and a key resource for adolescents' academic attainment.

Feasibility of virtual reality and machine learning to assess personality traits in an organizational environment.

Introduction: Personality plays a crucial role in shaping an individual's interactions with the world. The Big Five personality traits are widely used frameworks that help describe people's psychological behaviours. These traits predict how individuals behave within an organizational setting. Methods: In this article, we introduce a virtual reality (VR) strategy for relatively scoring an individual's personality to evaluate the feasibility of predicting personality traits from implicit measures captured from users interacting in VR simulations of different organizational situations. Specifically, eye-tracking and decision-making patterns were used to classify individuals according to their level in each of the Big Five dimensions using statistical machine learning (ML) methods. The virtual environment was designed using an evidence-centered design approach. Results: The dimensions were assessed using NEO-FFI inventory. A random forest ML model provided 83% accuracy in predicting agreeableness. A k-nearest neighbour ML model provided 75%, 75%, and 77% accuracy in predicting openness, neuroticism, and conscientiousness, respectively. A support vector machine model provided 85% accuracy for predicting extraversion. These analyses indicated that the dimensions could be differentiated by eye-gaze patterns and behaviours during immersive VR. Discussion: Eye-tracking measures contributed more significantly to this differentiation than the behavioural metrics. Currently, we have obtained promising results with our group of participants, but to ensure the robustness and generalizability of our findings, it is imperative to replicate the study with a considerably larger sample. This study demonstrates the potential of VR and ML to recognize personality traits.

Direct and Indirect Associations of Personality With Audiovisual Technology Acceptance Through General Self-Efficacy.

Increasing consensus among information systems researchers suggests that personality accounts for the effective use of several technologies, yet less is known about the process through which personality affects user perceptions of technology acceptance. This study, therefore, examined whether personality is associated with student perceptions of audiovisual technology acceptance, and whether general self-efficacy mediates this association. In total, 244 students completed an online survey including measures of personality, general self-efficacy, and perceptions of audiovisual technology acceptance. Canonical correlation uncovered significant associations between personality and student beliefs about technology use. Results further revealed that general self-efficacy fully mediated the effects of openness to experience and neuroticism on Perceived Ease of Use, whereas the association between agreeableness and Perceived Usefulness was partially mediated by self-efficacy beliefs. The fact that personality influences students' perceptions of technology acceptance both directly and indirectly should not remain unnoticed, especially when designing intervention programs to enhance their academic performance.

The Big Five Personality Traits and Positive Orientation in Polish Adults with Multiple Sclerosis: The Role of Meaning in Life.

Scientific achievements concerning the direct relation between personality traits and positive orientation among patients with multiple sclerosis do not explain the role of potential mediators. In fact, some researchers argue that the traits-positivity association is much more complex than it seems to be. For this reason, we made an attempt to analyze the indirect relationship between the above-mentioned variables, including meaning in life as a mediator. In total, 618 patients with MS took part in the study. The NEO Five-Factor Inventory, the Positive Orientation Scale, and the Meaning in Life Questionnaire were used. The results showed that positive orientation/the presence of meaning/searching for meaning correlated positively with extraversion, openness to experience, agreeableness, and conscientiousness, and were negatively associated with neuroticism. Moreover, meaning in life in both its dimensions acted as a mediator in 9 of 10 models. It can be assumed that a propensity to establish interpersonal relationships (extraversion), use active imagination (openness), inspire confidence among others (agreeableness), and take responsibility (conscientiousness) can have an impact on someone's positive attitude toward oneself and the surrounding world (positive orientation) when people have meaning in life and when they are seeking it.

Big five traits and interpersonal goals during stressors as predictors of hair cortisol.

Background: Hair cortisol concentrations (HCC) provide a biomarker for stress adaptation, which has downstream health consequences. Personality traits (e.g., neuroticism) and social processes (e.g., chronic interpersonal goals) may confer risk or buffer against dysregulated cortisol secretion. However, few studies have examined personality or interpersonal factors predicting hair cortisol, which estimates longer-term secretion and therefore provides a potential biomarker for studying trait-like psychological processes. The present study investigated effects of personality traits and daily interpersonal goals during stressors on HCC. Method: Participants (N = 90) reported Big Five traits at baseline, recorded interpersonal (self-image and compassionate) goals pursued during their worst psychosocial stressors for 4-5 weeks (1,949 entries), then provided a hair sample to estimate cortisol secretion over the past two months. Results: As hypothesized, neuroticism predicted higher HCC, beyond other Big Five traits (b = 7.45, SE = 3.36, p = .029). Moreover, this effect was greater for those chronically striving to promote/protect one's self-image during psychosocial stressors (b = 14.53, SE = 4.72, p = .003), and for those low in conscientiousness (b = 14.84, SE = 4.83, p = .003). Moderate extraversion was associated with higher HCC. Striving to support others (compassionate goals) exerted no direct or interactive effect on HCC, contrary to hypotheses. Conclusions: Results support the relevance of neuroticism and maladaptive interpersonal strivings to longer-term neuroendocrine responses, suggesting hair cortisol as a potential method for studying links of trait-like psychological and HPA processes.

Personality Traits in Burning Mouth Syndrome Patients With and Without a History of Depression.

Objectives: So far, the strong link between neuroticism, chronic pain, and depression has been well-documented in literatures. Some suggested that they might share etiological factors, thus resulting in overlapping constructs. However, such effect has never been tested in burning mouth syndrome (BMS) patients, a complex phenomenon influenced by both neuropathic and psychopathological factors. We aim to clarify how personality affects individual's pain and pain-related experiences. Methods: Two hundred forty-eight patients with BMS provided demographic information and psychiatric history; completed Ten-Item Personality Inventory, a Visual Analog Scale of pain, and McGill Pain Questionnaire; and provided adequate parameters of depressive state, catastrophizing thinking, and central sensitization. Results: BMS patients with depression history suffered more severe clinical symptoms and scored higher in neuroticism and less in openness and extraversion than did those without psychiatric diagnoses. After age, sex, and duration of pain were controlled, neuroticism in BMS patients with depression correlates with affective dimension of pain. Instead, if psychiatric history is absent, neuroticism correlates with sensory dimension and pain intensity. In both groups, higher neuroticism, unlike other personality facets, contributed to a more severe clinical condition. Conclusion: Of the five traits, neuroticism appears to be the most crucial dimension associated with the pain symptoms and patient's conditions. This study implies that management of pain must extend beyond solely providing pain-relieving medication and must require a holistic and multidisciplinary approach.

Resting-state functional brain connectivity in a predominantly African-American sample of older adults: exploring links among personality traits, cognitive performance, and the default mode network.

The personality traits of neuroticism, openness, and conscientiousness are relevant factors for cognitive aging outcomes. The present study examined how these traits were associated with cognitive abilities and corresponding resting-state functional connectivity (RSFC) of the default mode network (DMN) in an older and predominantly minority sample. A sample of 58 cognitively unimpaired, largely African-American, older adults (M age = 68.28 ± 8.33) completed a standard RSFC magnetic resonance imaging sequence, a Big Five measure of personality, and delayed memory, Stroop, and verbal fluency tasks. Personality trait associations of within-network connectivity of the posterior cingulate cortex (PCC), a hub of the DMN, were examined using a seed-based approach. Trait scores were regressed on cognitive performance (delayed memory for neuroticism, Stroop for conscientiousness, and verbal fluency for openness). Greater openness predicted greater verbal fluency and greater RSFC between the PCC and eight clusters, including the medial prefrontal cortex, left middle frontal gyrus, and precuneus. Greater PCC-precuneus connectivity predicted greater verbal fluency. Neuroticism and conscientiousness did not significantly predict either cognitive performance or RSFC. Although requiring replication and elaboration, the results implicate openness as a contributing factor to cognitive aging via concomitant cognitive performance and connectivity within cortical hubs of the DMN and add to the sparse literature on these variables in a diverse group of older adults.

Accuracy in Perceptions of Fundamental Social Motives: Comparisons to Perceptions of Big Five Traits and Associations With Friendship Quality.

Accurately perceiving others' personalities helps people to successfully navigate their social relationships. However, it is not yet clear whether people can accurately perceive one aspect of people's personalities that may be especially important to understand: motivations. Using the fundamental social motives framework, we examined the extent to which people accurately perceived a friend's motivations (vs. big five traits) and how this was related to friendship quality. A sample of friend dyads completed both self- and friend-assessments of the big five traits and the fundamental motives, and rated friendship quality. Perceivers accurately detected their friend's unique, self-reported ordering of motives (i.e., distinctive accuracy), though to a lesser extent than traits. However, accuracy for motives and traits was positively associated with greater friendship quality to a similar extent. Importantly, these associations emerged above and beyond tendencies to view others highly normatively, as socially desirable, and as similar to the self.

The association between the Big Five personality traits and smartphone use disorder: A meta-analysis.

BACKGROUND AND AIMS: Personality is one of the most frequently investigated variables to shed light on the putatively addictive use of the smartphone. By investigating associations between personality and individual differences in addictive smartphone use, researchers aim to understand if some personality traits predispose technology users to develop addictive behaviors. Here, based on existing empirical literature, we aimed at determining the strength of associations between Big Five personality traits and smartphone use disorder (SmUD) by a meta-analytic approach. METHOD: For each Big Five personality trait, we performed a meta-analysis of correlations representing their association with SmUD. We also investigated possible publication bias and the moderating effects of age, gender, nationality, length of personality assessments, and time of publication. RESULTS: We found n = 26 eligible studies. In line with both the Interaction of Person-Affect-Cognition-Execution (I-PACE) model and the framework on problematic mobile-phone use by Billieux, we observed a positive association between Neuroticism and SmUD (r = 0.25), while the association between Extraversion and SmUD was not significant. Partially in line with the aforementioned theoretical frameworks, Conscientiousness was negatively associated with SmUD (r = -0.16). Remaining traits showed smaller associations. No significant publication bias emerged. Moderator analyses showed that time of publication moderated the link between Conscientiousness and SmUD. Moreover, Agreeableness and Conscientiousness showed a heightened inverse association with SmUD among older samples. CONCLUSIONS: The present meta-analysis provides robust empirical evidence that Big Five personality traits can help to understand individual differences in SmUD, supporting the usefulness of their assessment when planning and targeting interventions aimed at at-risk individuals.

A Comprehensive Analysis of the Correlations between Resting-State Oscillations in Multiple-Frequency Bands and Big Five Traits.

Recently, the association between human personality traits and resting-state brain activity has gained interest in neuroimaging studies. However, it remains unclear if Big Five personality traits are represented in frequency bands (~0.25 Hz) of resting-state functional magnetic resonance imaging (fMRI) activity. Based on earlier neurophysiological studies, we investigated the correlation between the five personality traits assessed by the NEO Five-Factor Inventory (NEO-FFI), and the fractional amplitude of low-frequency fluctuation (fALFF) at four distinct frequency bands (slow-5 (0.01-0.027 Hz), slow-4 (0.027-0.073 Hz), slow-3 (0.073-0.198 Hz) and slow-2 (0.198-0.25 Hz)). We enrolled 835 young subjects and calculated the correlations of resting-state fMRI signals using a multiple regression analysis. We found a significant and consistent correlation between fALFF and the personality trait of extraversion at all frequency bands. Furthermore, significant correlations were detected in distinct brain regions for each frequency band. This finding supports the frequency-specific spatial representations of personality traits as previously suggested. In conclusion, our data highlight an association between human personality traits and fALFF at four distinct frequency bands.

Breaking the Silence: Disordered Eating and Big Five Traits in College Men.

Men remain largely underrepresented in the eating disorder literature and few studies have investigated risk factors for disordered eating among men. The current study examined associations between Big Five personality traits and eating disorder symptoms in a sample of college men (N = 144). Participants completed the Eating Disorder Diagnostic Scale and Ten Item Personality Inventory online. Results suggested that openness was positively associated with purging-type behaviors and that emotional stability was positively related to symptoms of anorexia nervosa and global eating pathology. Findings highlight the prevalence of eating disorder symptoms among college men and suggest that these symptoms are associated with a different constellation of personality traits than is typically reported among women. Implications for targeted prevention and intervention programs and future research are discussed.

Personality traits and environmental choices: On the search for understanding.

In this paper we hypothesize that individuals will choose among alternative courses of action for power generation from wind farms according to their personality profiles. Through a factor analysis we found that certain characteristics of personality do indeed have an effect on environmental choice. The study involves an extensive survey based on the Big Five Traits model to find a pattern of choice that will help to better understand environmental decisions and be useful for policy makers to identify target groups and preview reactions to different courses of action. The research is potentially useful for the better preparation and design of publicity material, awareness raising campaigns and information provision for complex or unpopular policies affecting the environment or in environmental education in general. This research is especially interested in shedding some light on how personality is involved in the processes of environmental decision making, despite the limitations of the present study.