Development and validity of the subjective training quality scale.

Shell, SJ; Slattery, K; Clark, B; Broatch, JR; Halson, SL; Coutts, AJ

Development and validity of the subjective training quality scale.

Shell, SJ Slattery, K

Clark, B Broatch, JR Halson, SL Coutts, AJ

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Publisher:: TAYLOR & FRANCIS LTD
Publication Type:: Journal Article
Citation:: Eur J Sport Sci, 2022, pp. 1-8
Issue Date:: 2022-08-28

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Field	Value	Language
dc.contributor.author	Shell, SJ
dc.contributor.author	Slattery, K https://orcid.org/0000-0002-2879-5488
dc.contributor.author	Clark, B
dc.contributor.author	Broatch, JR
dc.contributor.author	Halson, SL
dc.contributor.author	Coutts, AJ
dc.date.accessioned	2022-11-30T00:49:57Z
dc.date.available	2022-11-30T00:49:57Z
dc.date.issued	2022-08-28
dc.identifier.citation	Eur J Sport Sci, 2022, pp. 1-8
dc.identifier.issn	1746-1391
dc.identifier.issn	1536-7290
dc.identifier.uri	http://hdl.handle.net/10453/163855
dc.description.abstract	This study aimed to define, develop, and validate a subjective scale of training quality. Two related studies were used to 1) define training quality and 2) develop and validate a subjective scale. Part One: a purposive sample of 15 sub-elite (i.e. national) and elite (i.e. international) swimmers participated in one, 20-30-min semi-structured interview. Thematic analysis of interview responses established three constructs to define training quality. These were the physical, technical, and mental aspects of training. Part Two: development of the Subjective Training Quality (STQ) scale based on the three constructs identified in Part One. 252 sub-elite and elite athletes, across eight sports completed the STQ scale. Cronbach's alpha (α) assessed internal consistency, histogram plot analysis assessed face validity, and confirmatory factor analysis (CFA) compared physical, technical, and mental constructs with training quality. Root mean square error of approximation (RMSEA) and standardised root mean square residual (SRMR) evaluated CFA quality of fit. Physical, technical, and mental constructs demonstrated a high "acceptable" level of internal consistency (α = 0.85) and excellent face validity. Comparatively, the CFA quality of fit was "excellent" (RMSEA = <0.01 "good", SRMR = 0.00 "perfect"). The STQ scale demonstrated excellent internal consistency and face validity, establishing capacity to monitor training quality. The STQ scale could be used in conjunction with traditional training monitoring tools to provide additional insight into athlete's training quality. Further investigation is required to determine how the STQ scale may interact with subjective and objective training performance measures, and how it could be incorporated into daily training monitoring.Highlights Athletes perceive the subjective training quality (STQ) scale adequately represents the physical, technical, and mental constructs of training quality.Excellent internal consistency and confirmatory factor analysis fit demonstrates the STQ scale is an effective tool to monitor training quality.With additional validation, the STQ scale could be used in conjunction with traditional load monitoring tools to provide greater insight to an athlete's training response, and subsequently inform training prescription.
dc.format	Print-Electronic
dc.language	eng
dc.publisher	TAYLOR & FRANCIS LTD
dc.relation	Australian Institute of Sport
dc.relation.ispartof	Eur J Sport Sci
dc.relation.isbasedon	10.1080/17461391.2022.2111276
dc.rights	This is an Accepted Manuscript of an article Published by Taylor & Francis in Journal title: European Journal of Sport Science Article title: Development and validity of the subjective training quality scale. Published on: 28 Aug 2022 available online: https://doi.org/10.1080/17461391.2022.2111276
dc.rights	info:eu-repo/semantics/embargoedAccess
dc.subject	0913 Mechanical Engineering, 1106 Human Movement and Sports Sciences
dc.subject.classification	Sport Sciences
dc.title	Development and validity of the subjective training quality scale.
dc.type	Journal Article
utslib.location.activity	England
utslib.for	0913 Mechanical Engineering
utslib.for	1106 Human Movement and Sports Sciences
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Health
pubs.organisational-group	/University of Technology Sydney/Strength - CHSP - Health Services and Practice
pubs.organisational-group	/University of Technology Sydney/Strength - CHT - Health Technologies
pubs.organisational-group	/University of Technology Sydney/Centre for Health Technologies (CHT)
utslib.copyright.status	open_access	*
utslib.copyright.embargo	2023-08-28T00:00:00+1000Z
dc.date.updated	2022-11-30T00:49:55Z
pubs.publication-status	Published online

Abstract:

This study aimed to define, develop, and validate a subjective scale of training quality. Two related studies were used to 1) define training quality and 2) develop and validate a subjective scale. Part One: a purposive sample of 15 sub-elite (i.e. national) and elite (i.e. international) swimmers participated in one, 20-30-min semi-structured interview. Thematic analysis of interview responses established three constructs to define training quality. These were the physical, technical, and mental aspects of training. Part Two: development of the Subjective Training Quality (STQ) scale based on the three constructs identified in Part One. 252 sub-elite and elite athletes, across eight sports completed the STQ scale. Cronbach's alpha (α) assessed internal consistency, histogram plot analysis assessed face validity, and confirmatory factor analysis (CFA) compared physical, technical, and mental constructs with training quality. Root mean square error of approximation (RMSEA) and standardised root mean square residual (SRMR) evaluated CFA quality of fit. Physical, technical, and mental constructs demonstrated a high "acceptable" level of internal consistency (α = 0.85) and excellent face validity. Comparatively, the CFA quality of fit was "excellent" (RMSEA = <0.01 "good", SRMR = 0.00 "perfect"). The STQ scale demonstrated excellent internal consistency and face validity, establishing capacity to monitor training quality. The STQ scale could be used in conjunction with traditional training monitoring tools to provide additional insight into athlete's training quality. Further investigation is required to determine how the STQ scale may interact with subjective and objective training performance measures, and how it could be incorporated into daily training monitoring.Highlights Athletes perceive the subjective training quality (STQ) scale adequately represents the physical, technical, and mental constructs of training quality.Excellent internal consistency and confirmatory factor analysis fit demonstrates the STQ scale is an effective tool to monitor training quality.With additional validation, the STQ scale could be used in conjunction with traditional load monitoring tools to provide greater insight to an athlete's training response, and subsequently inform training prescription.

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http://hdl.handle.net/10453/163855