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dc.contributor.advisorO'Connor, Akira Robert
dc.contributor.authorLiverakos, Konstantinos
dc.coverage.spatial305 p.en_US
dc.date.accessioned2021-07-01T13:15:32Z
dc.date.available2021-07-01T13:15:32Z
dc.date.issued2021-07-02
dc.identifier.urihttps://hdl.handle.net/10023/23460
dc.description.abstractIn the present thesis, I examined exercise calibration using running and high-intensity functional movement exercise (HIFME). In doing so, I analysed and presented results from eight studies across Chapters 2, 3, 4, and 5. In Chapters 2 and 3, I explored the extent to which demographic factors (e.g. expertise, experience, age, and gender) are effective in informing us about running and HIFME calibration. Studies 1 and 2 demonstrated that such factors do exhibit associations with running calibration, though the relatively minor strength and inconsistency of these associations also indicate that we should not overestimate the factors’ contributions. Study 3 found a positive role of having a HIFME background in HIFME calibration, but other demographic factors did not exhibit associations with it. Overall, results from Chapters 2 and 3 highlighted the importance of considering demographic factors when assessing athlete calibration. However, they also highlighted the importance of understanding their limitations when doing so. In Chapter 4, I examined whether we can use self-reports of exercise metacognition and cognitive calibration to predict running and HIFME calibration. There was no significant association between any of these measures and exercise calibration in Studies 4, 5, and 6, suggesting that metacognition self-reports and calibration from other modalities are not reliable predictors of exercise calibration. In Chapter 5, I tested whether a minimal metacognitive intervention in the form of prediction guidance would lead to improved exercise calibration when participants received strategic, as opposed to impulsive, instructions. Findings from Studies 7 and 8 illustrated that strategic predictions facilitated prediction precision compared to impulsive predictions, though their effects on bias appeared to be less consistent and more dependent upon instructions. In Chapter 6, I discussed the general implications of the present thesis, and proposed ways in which future research can further explore the field of exercise calibration.en_US
dc.language.isoenen_US
dc.publisherUniversity of St Andrews
dc.relationMetacognitive calibration in exercise: An investigation using running and high-intensity functional movement exercise (thesis data) Liverakos, K. University of St Andrews. DOI: https://doi.org/10.17630/45fc12b1-f893-4b96-988e-6f7fec7e8d32en
dc.relation.urihttps://doi.org/10.17630/45fc12b1-f893-4b96-988e-6f7fec7e8d32
dc.rightsCreative Commons Attribution-NonCommercial-NoDerivatives 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectMetacognitionen_US
dc.subjectCalibrationen_US
dc.subjectRunningen_US
dc.subjectExerciseen_US
dc.subjectHigh-intensity functional exerciseen_US
dc.subjectBiasen_US
dc.subjectAbsolute accuracyen_US
dc.subject.lccGV706.4L5
dc.subject.lcshExercise--Psychological aspectsen
dc.subject.lcshMetacognition
dc.titleMetacognitive calibration in exercise : an examination using running and high-intensity functional movement exerciseen_US
dc.typeThesisen_US
dc.contributor.sponsorAlfred Dunhill Links Foundationen_US
dc.type.qualificationlevelDoctoralen_US
dc.type.qualificationnamePhD Doctor of Philosophyen_US
dc.publisher.institutionThe University of St Andrewsen_US
dc.rights.embargodate2023-03-03
dc.rights.embargoreasonThesis restricted in accordance with University regulations. Electronic copy restricted until 3rd March 2023en
dc.identifier.doihttps://doi.org/10.17630/sta/86


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