Unknown

Dataset Information

0

The Big Five, Everyday Contexts and Activities, and Affective Experience.


ABSTRACT: Prior research shows that personality traits predict time spent with different people and frequency of engagement in different activities. Further, personality traits, company, and activity are related to the experience of affect. However, little research has examined personality, context, and affect together in the same study. In the current study, 78 people described their Big Five traits and took part in a 1-week experience sampling study using mobile phones as a means for data collection. Participants indicated their current company, activity, and momentary affect along the dimensions of energetic arousal (EA), tense arousal (TA), and hedonic tone (HT). Poisson regressions revealed that traits predicted higher frequencies of trait-consistent contexts: for example, extraversion was related to more frequently being with various types of company. Results predicting contexts from multilevel logistic regressions were sparser. Multilevel models revealed that traits and contexts had main effects on affect, yet there were relatively few interactions of traits X contexts predicting affect. We discuss more specific implications of these findings.

SUBMITTER: Wilt J 

PROVIDER: S-EPMC6168084 | biostudies-literature | 2019 Jan

REPOSITORIES: biostudies-literature

altmetric image

Publications

The Big Five, Everyday Contexts and Activities, and Affective Experience.

Wilt Joshua J   Revelle William W  

Personality and individual differences 20171229


Prior research shows that personality traits predict time spent with different people and frequency of engagement in different activities. Further, personality traits, company, and activity are related to the experience of affect. However, little research has examined personality, context, and affect together in the same study. In the current study, 78 people described their Big Five traits and took part in a 1-week experience sampling study using mobile phones as a means for data collection. Pa  ...[more]

Similar Datasets

| S-EPMC6004479 | biostudies-literature
| S-EPMC7084290 | biostudies-literature
| S-EPMC6568406 | biostudies-other
| S-EPMC4537694 | biostudies-literature
| S-EPMC9284276 | biostudies-literature
| S-EPMC4971016 | biostudies-literature
| S-EPMC5785942 | biostudies-literature
| S-EPMC8611340 | biostudies-literature