A dynamic, self-regulatory model of affect and performance: interactions between states, traits and task demands

Yeo, Gillian B., Frederiks, Elisha R., Kiewitz, Christian and Neal, Andrew (2014) A dynamic, self-regulatory model of affect and performance: interactions between states, traits and task demands. Motivation and Emotion, 38 3: 429-443. doi:10.1007/s11031-013-9376-z


Author Yeo, Gillian B.
Frederiks, Elisha R.
Kiewitz, Christian
Neal, Andrew
Title A dynamic, self-regulatory model of affect and performance: interactions between states, traits and task demands
Journal name Motivation and Emotion   Check publisher's open access policy
ISSN 0146-7239
1573-6644
Publication date 2014-06-01
Year available 2013
Sub-type Article (original research)
DOI 10.1007/s11031-013-9376-z
Open Access Status Not Open Access
Volume 38
Issue 3
Start page 429
End page 443
Total pages 15
Place of publication New York, NY, United States
Publisher Springer New York
Language eng
Abstract State-trait consistency and valence principles were integrated within a dynamic self-regulatory framework to predict interactive effects of state affect, trait affect and task demands on performance. State affect and performance were measured repeatedly as individuals completed a complex and dynamic decision-making task. Task demands were manipulated at the within-person level. The beneficial effect of state positive affect was strongest for individuals with high trait positive affect; however this effect was only evident under high task demands. The detrimental effect of state negative affect was weakest for individuals with high trait negative affect, with this effect being constant across task demand levels. This study demonstrated that state-trait inconsistency can be bad for individuals with high trait positive affect and consistency can be good for individuals with high trait negative affect.
Keyword Affect
Performance
State-trait consistency
Multi-level analysis
Within-person processes
Q-Index Code C1
Q-Index Status Confirmed Code
Institutional Status UQ
Additional Notes Published online: 28 August 2013

Document type: Journal Article
Sub-type: Article (original research)
Collections: Official 2015 Collection
School of Psychology Publications
 
Versions
Version Filter Type
Citation counts: TR Web of Science Citation Count  Cited 4 times in Thomson Reuters Web of Science Article | Citations
Scopus Citation Count Cited 4 times in Scopus Article | Citations
Google Scholar Search Google Scholar
Created: Tue, 24 Jun 2014, 14:07:40 EST by System User on behalf of School of Psychology