2003
DOI: 10.1037/0022-3514.85.1.121
|View full text |Cite
|
Sign up to set email alerts
|

Individual differences in rate of affect change: Studies in affective chronometry.

Abstract: Three studies explored individual differences in rate of affect change. Participants watched affect-inducing videos and reported their affect twice in 20 min. Individual differences in rate of affect change emerged independently of initial affect intensity and stress appraisals, revealing 2 affect-change profiles. Positive affect augmenters (extraverts, emotionally stable participants, and those with high negative mood regulation expectancies) showed slow rates of positive and rapid rates of negative affect de… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1

Citation Types

10
96
0
2

Year Published

2007
2007
2013
2013

Publication Types

Select...
5
3
2

Relationship

0
10

Authors

Journals

citations
Cited by 114 publications
(108 citation statements)
references
References 47 publications
10
96
0
2
Order By: Relevance
“…Again, divergent dynamics of emotions across individuals are assumed to be the norm rather than the exception. People show sizeable individual differences in the duration of their emotions, both in normality (Verduyn, Delvaux, Van Coillie, Tuerlinckx, & Van Mechelen, 2009) and pathology (e.g., Tomarken & Keener, 1998;Whittle et al, 2008), in the variability of emotional intensity over time (Kuppens, Van Mechelen, Nezlek, Dossche, & Timmermans, 2007;Larsen, 1987), in the rate of affect repair (Hemenover, 2003), the degree of synchronicity that emotion components display over time (Mauss et al, 2005), and so on. An understanding of these divergent dynamics consists of revealing the ways and determinants of how specific emotion components occur and fluctuate, and how the outlook of the componential architecture (or interrelations between these components) is dependent on the person, on the situation, and on time.…”
Section: Multicomponential and Dynamic Approaches To Individual Diffementioning
confidence: 99%
“…Again, divergent dynamics of emotions across individuals are assumed to be the norm rather than the exception. People show sizeable individual differences in the duration of their emotions, both in normality (Verduyn, Delvaux, Van Coillie, Tuerlinckx, & Van Mechelen, 2009) and pathology (e.g., Tomarken & Keener, 1998;Whittle et al, 2008), in the variability of emotional intensity over time (Kuppens, Van Mechelen, Nezlek, Dossche, & Timmermans, 2007;Larsen, 1987), in the rate of affect repair (Hemenover, 2003), the degree of synchronicity that emotion components display over time (Mauss et al, 2005), and so on. An understanding of these divergent dynamics consists of revealing the ways and determinants of how specific emotion components occur and fluctuate, and how the outlook of the componential architecture (or interrelations between these components) is dependent on the person, on the situation, and on time.…”
Section: Multicomponential and Dynamic Approaches To Individual Diffementioning
confidence: 99%
“…state positive affect reflects an individual's short-term, often contextspecific, experience of positive emotions such as confidence or joy. " The PANAS has been used for diverse purposes in clinical (e.g., Clark & Watson, 1991), social (e.g., Schmeichel, Vohs, & Baumeister, 2003) and personality (e.g., Hemenover, 2003) psychology research. Indeed, the original article presenting the PANAS (Watson et al, 1988) has been cited more than 3,800 times (Web of Science, September, 2008), and in their review of self-report measures of affect, E. K. Gray and Watson (2007) suggested that "starting in the late 1980s, the Watson and Tellegen model-based on the dimensions of Positive and Negative Affect-gradually emerged as the most prominent structural/assessment scheme in research on self-rated affect" (p. 173).…”
mentioning
confidence: 99%
“…Several authors have emphasized the importance of the temporal dynamics of emotions and suggested that these should be given more attention in future research (Eaton & Funder, 2001;Hemenover, 2003;Schimmack, Oishi, Diener, & Suh, 2000). Davidson (1998) even named the research domain affective chronometry.…”
mentioning
confidence: 99%