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dc.contributor.advisorVanhoy, Mickie
dc.contributor.authorHouse, Ashley
dc.date.accessioned2020-05-26T20:39:22Z
dc.date.available2020-05-26T20:39:22Z
dc.date.issued2012
dc.identifier.other(AlmaMMSId)9978543385202196
dc.identifier.urihttps://hdl.handle.net/11244/324727
dc.description.abstractStrength models of self-regulation assume that depletion of a limited cognitive resource may impair performance on subsequent tasks requiring that resource (Baumeister et al., 1999) but multiple resource models assume that external influences or cues (situational attributions) may help moderate performance (Clarkson et al., 2010). Resource attribution hypothesis predicts that people who are physically or emotionally fatigued (ego depleted) will still be able to self-regulate if they have useful situational attributions for their performance but strength models predict that situational attributions will not help self-regulation. 29 women from the UCO Track and Field team performed physical and mental tasks requiring physical and mental perseverance (e.g., completing a routine training session, letter elimination task, and anagram task); the dependent variable was duration of perseverance. Half received a situational attribution (placebo) and half did not. Results supported a multiple resource model (resource attribution hypothesis).--Abstract.
dc.rightsAll rights reserved by the author, who has granted UCO Chambers Library the non-exclusive right to share this material in its online repositories. Contact UCO Chambers Library's Digital Initiatives Working Group at diwg@uco.edu for the permission policy on the use, reproduction or distribution of this material.
dc.subject.lcshMental fatigue
dc.titleEffects of situational attributions on mental and physical fatigue
dc.typeAcademic theses
dc.contributor.committeeMemberBrennan, Martha
dc.contributor.committeeMemberLack, Caleb
dc.thesis.degreeM.S., Psychology
dc.identifier.oclc(OCoLC)ocn840617329
uco.groupUCO - Graduate Works and Theses::UCO - Theses
thesis.degree.grantorJackson College of Graduate Studies


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