Abstract
The authors used the Electronically Activated Recorder (EAR) to track within-day variability in everyday behaviors associated with positive and negative affect across two samples. The EAR is a portable audio recorder that periodically samples snippets of ambient sounds from participants' momentary environments. The recorded sounds are then coded for different behaviors. The study tested whether previous findings regarding diurnal patterns in self-reported mood extend to naturalistically observed behavior. Across both samples, behavior associated with positive affect (i.e., socializing, laughing, and singing) varied according to a sinusoidal 24-h rhythm centered around participants' average waketime while behavior associated with negative affect (i.e., arguing and sighing) did not. Further, there was preliminary evidence that personality traits can moderate these rhythms (e.g., their amplitude).
Original language | English (US) |
---|---|
Pages (from-to) | 1537-1546 |
Number of pages | 10 |
Journal | Journal of Research in Personality |
Volume | 42 |
Issue number | 6 |
DOIs | |
State | Published - Dec 2008 |
Keywords
- Affect
- Circadian rhythms
- Daily activities
- Ecological momentary assessment
- Nonlinear multi-level modeling
ASJC Scopus subject areas
- Social Psychology
- General Psychology