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.
Original language | English (US) |
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Pages (from-to) | 140-147 |
Number of pages | 8 |
Journal | Personality and Individual Differences |
Volume | 136 |
DOIs | |
State | Published - Jan 1 2019 |
Funding
We are grateful for funding support from the National Institute for Mental Health , National Research Service Award Grant F31-MH093041 to JW, Dissertation Award from the Society of Multivariate Experimental Psychology to JW, and a National Science Foundation grant SMA-1419324 to WR.
Keywords
- Affect
- Big Five
- Everyday context
- Experience sampling methodology
- Multilevel modeling
- Poisson regression
ASJC Scopus subject areas
- General Psychology