TY - JOUR
T1 - The Big Five, everyday contexts and activities, and affective experience
AU - Wilt, Joshua
AU - Revelle, William
N1 - Funding Information:
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.
Publisher Copyright:
© 2017 Elsevier Ltd
PY - 2019/1/1
Y1 - 2019/1/1
N2 - 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.
AB - 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.
KW - Affect
KW - Big Five
KW - Everyday context
KW - Experience sampling methodology
KW - Multilevel modeling
KW - Poisson regression
UR - http://www.scopus.com/inward/record.url?scp=85039558781&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85039558781&partnerID=8YFLogxK
U2 - 10.1016/j.paid.2017.12.032
DO - 10.1016/j.paid.2017.12.032
M3 - Article
C2 - 30294057
AN - SCOPUS:85039558781
VL - 136
SP - 140
EP - 147
JO - Personality and Individual Differences
JF - Personality and Individual Differences
SN - 0191-8869
ER -