The applications of mobile athlete self-report measures in elite Gaelic Games

Files in This Item:
File Description SizeFormat 
5864232.pdf20.94 MBAdobe PDFDownload
Title: The applications of mobile athlete self-report measures in elite Gaelic Games
Authors: Duignan, Ciara
Permanent link: http://hdl.handle.net/10197/11653
Date: 2020
Online since: 2020-11-04T05:15:11Z
Abstract: Advances in athlete monitoring practices are permeating from elite, professional sports to sub-elite and amateur programmes through continuous developments in both the technology itself and the underpinning research. Sports practitioners utilise data in new ways to find a competitive edge, encouraged by an expectation of excellence from athletes who are now more knowledgeable than ever. However, the introduction of technology to a process is not without its challenges, and whilst new methods in sports performance analysis have been game-changing, the use of athlete self-report measures seems yet to realise its potential. As a relatively new progression, there is a dearth of evidence on mobile athlete self-report measures (M-ASRM), particularly in team sports. It remains unclear what the appropriate and inappropriate uses of M-ASRM data are, and how measure design and implementation affect this utility. This programme of research utilised mixed methods to investigate the applications of M-ASRM in elite Gaelic games. Through reviews of the market and the literature, objective analyses of M-ASRM data and exploration of stakeholder experiences, the findings of this thesis have illuminated the concept of M-ASRM in athlete monitoring, by identifying what they are and what they are not, informing their appropriate use cases and the requirements for successful implementation in team sport. Findings from the quantitative methods suggest that rigorous instrument development and implementation in large, controlled studies are required to understand pertinent interpretation of M-ASRM data and use in objective or predictive analysis models. Findings from the qualitative methods suggest established subjective value in communication and information disclosure, remote athlete management, informing decision making and facilitating advanced planning. However, significant barriers to use were identified through an underestimation of the requirements for successful implementation. The challenges related to the measure itself and its limitations, but largely concerned the human factors in recording, reviewing, disseminating and acting on data, in addition to forging stakeholder understanding and engagement. The results of the research are triangulated and underpinned in technology acceptance theory, concluding with the development of considerations for successful M-ASRM implementation in team sport.
Type of material: Doctoral Thesis
Publisher: University College Dublin. School of Public Health, Physiotherapy and Sports Science
Qualification Name: Ph.D.
Copyright (published version): 2020 the Author
Keywords: Athlete monitoringWellnessSubjective
Language: en
Status of Item: Peer reviewed
Appears in Collections:Public Health, Physiotherapy and Sports Science Theses

Show full item record

Page view(s)

102
Last Week
13
Last month
checked on Nov 30, 2020

Download(s)

44
checked on Nov 30, 2020

Google ScholarTM

Check


This item is available under the Attribution-NonCommercial-NoDerivs 3.0 Ireland. No item may be reproduced for commercial purposes. For other possible restrictions on use please refer to the publisher's URL where this is made available, or to notes contained in the item itself. Other terms may apply.