The interactive effect of neuroticism and extraversion on the daily variability of affective states

Dauvier, Bruno; Pavani, Jean‐Baptiste; Vigouroux, Sarah Le; Kop, Jean–Luc; Congard, Anne

doi:10.1016/j.jrp.2018.10.007

Cited by 29 publications

(33 citation statements)

References 79 publications

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“…The traits include openness, conscientiousness, extraversion, agreeableness, and neuroticism. Previous literature has shown that the relationship between personality traits and well-being is strong [10][11][12]. In particular, highly extraverted individuals consistently report higher positive (trait) affect and well-being [13].…”

Section: Extraversion: the Social Personality Traitmentioning

confidence: 95%

Inferring the Relationship between Anxiety and Extraversion from Tweets during COVID19 – A Linguistic Analytics Approach

Gruda¹,

Ojo²

2021

Proceedings of the Annual Hawaii International Conference on System Sciences

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We investigate the longitudinal relationship between extraversion and experienced state anxiety in a cohort of Twitter users in New York using a linguistic analytics approach. We find that before COVID-19 was declared a pandemic, highly extraverted individuals experienced lower state anxiety compared to more introverted individuals. This is in line with previous literature. However, there seem to be no significant differences between individuals after the pandemic announcement, which provides evidence that COVID-19 is affecting individuals regardless of their extraversion trait disposition. Finally, a longitudinal examination of the present data shows that extraversion seems to matter more greatly in the early days of the crisis and towards the end of our examined time range. Throughout the crisis, state anxiety did not seem to vary much between individuals with different extraversion dispositions.

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Section: Extraversion: the Social Personality Traitmentioning

confidence: 95%

Inferring the Relationship between Anxiety and Extraversion from Tweets during COVID19 – A Linguistic Analytics Approach

Gruda¹,

Ojo²

2021

Proceedings of the Annual Hawaii International Conference on System Sciences

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“…Individuals high in both extraversion and neuroticism may tend to react with aggression, be impatient, and irritable ( Eysenck & Eysenck, 2006 ). They are also characterized by heightened affective variability ( Dauvier et al, 2019 ). This may explain the regression analysis results suggesting that higher extraversion is associated with higher perceived stress.…”

Section: Discussionmentioning

confidence: 99%

Determinants of Perceived Stress in Adolescence: The Role of Personality Traits, Emotional Abilities, Trait Emotional Intelligence, Self-Efficacy, and Self-Esteem

Piekarska

2020

ACP

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“…Findings like those we present here can inform such studies by underscoring how the heterogeneity of personality information can influence the distribution of information in affective spaces. As a result, this non-homogeneous affective information across individuals may impact sensitivity in neuroimaging studies of affect, especially those based on longitudinal or pre-post designs, which need to take affective variability into account (Dauvier et al, 2019). This notion is only emphasized by the recent studies that have utilized data from the Human Connectome Project (Van Essen et al, 2013) to link individuals' personality data to resting-state functional networks (Dubois et al, 2018;Mulders et al, 2018;Nostro et al, 2018;Toschi et al, 2018;Passamonti et al, 2019), as certain aspects of the functions underlying these networks may also vary with differences in personality.…”

Section: Discussionmentioning

confidence: 99%

Linking Personality Traits to Individual Differences in Affective Spaces

et al. 2020

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Different individuals respond differently to emotional stimuli in their environment. Therefore, to understand how emotions are represented mentally will ultimately require investigations into individual-level information. Here we tasked participants with freely arranging emotionally charged images on a computer screen according to their subjective emotional similarity (yielding a unique affective space for each participant) and subsequently sought external validity of the layout of the individuals' affective spaces through the five-factor personality model (Neuroticism, Extraversion, Openness to Experience, Agreeableness, Conscientiousness) assessed via the NEO Five-Factor Inventory. Applying agglomerative hierarchical clustering to the group-level affective space revealed a set of underlying affective clusters whose within-cluster dissimilarity, per individual, was then correlated with individuals' personality scores. These cluster-based analyses predominantly revealed that the dispersion of the negative cluster showed a positive relationship with Neuroticism and a negative relationship with Conscientiousness, a finding that would be predicted by prior work. Such results demonstrate the non-spurious structure of individualized emotion information revealed by data-driven analyses of a behavioral task (and validated by incorporating psychological measures of personality) and corroborate prior knowledge of the interaction between affect and personality. Future investigations can similarly combine hypothesis-and data-driven methods to extend such findings, potentially yielding new perspectives on underlying cognitive processes, disease susceptibility, or even diagnostic/prognostic markers for mental disorders involving emotion dysregulation.

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The interactive effect of neuroticism and extraversion on the daily variability of affective states

Cited by 29 publications

References 79 publications

Inferring the Relationship between Anxiety and Extraversion from Tweets during COVID19 – A Linguistic Analytics Approach

Inferring the Relationship between Anxiety and Extraversion from Tweets during COVID19 – A Linguistic Analytics Approach

Determinants of Perceived Stress in Adolescence: The Role of Personality Traits, Emotional Abilities, Trait Emotional Intelligence, Self-Efficacy, and Self-Esteem

Linking Personality Traits to Individual Differences in Affective Spaces

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