A Systems Approach to Performance Analysis in Women's Netball: Using Work Domain Analysis to Model Elite Netball Performance.

coaching netball performance analysis women’s sport work domain analysis

Journal

Frontiers in psychology
ISSN: 1664-1078
Titre abrégé: Front Psychol
Pays: Switzerland
ID NLM: 101550902

Informations de publication

Date de publication:
2019
Historique:
received: 09 11 2018
accepted: 21 01 2019
entrez: 22 2 2019
pubmed: 23 2 2019
medline: 23 2 2019
Statut: epublish

Résumé

Netball is a newly professional women's sport, as such there has been little research conducted investigating performance analysis (PA) in elite netball. The aim of this study was to develop a model of the elite netball performance system to identify the complex relationships among key performance indicators. Eleven elite subject matter experts (SMEs) participated in workshops to produce a systems model of the netball match performance. The model was developed using the work domain analysis (WDA) method. A model of the netball match performance system was produced showing the interrelated objects, processes, functions, values, and purposes involved in elite level netball matches. The model identified the components of elite level netball performance and the interactions and relationships between them. The output of this research has identified novel PA measures including passing and possession measures, measures of cognitive performance, and measures related to physical activity. Netball is a complex sport, involving multiple dynamic and interrelated components. Consequently, there is an opportunity to develop holistic PA measures that focus on interacting components, as opposed to components in isolation.

Identifiants

pubmed: 30787902
doi: 10.3389/fpsyg.2019.00201
pmc: PMC6372500
doi:

Types de publication

Journal Article

Langues

eng

Pagination

201

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Auteurs

Scott Mclean (S)

Centre for Human Factors and Sociotechnical Systems, University of the Sunshine Coast, Sippy Downs, QLD, Australia.

Adam Hulme (A)

Centre for Human Factors and Sociotechnical Systems, University of the Sunshine Coast, Sippy Downs, QLD, Australia.

Mitchell Mooney (M)

Department of Movement Science, Australian Institute of Sport, Canberra, ACT, Australia.
School of Exercise Science, Australian Catholic University, Melbourne, VIC, Australia.

Gemma J M Read (GJM)

Centre for Human Factors and Sociotechnical Systems, University of the Sunshine Coast, Sippy Downs, QLD, Australia.

Anthony Bedford (A)

School of Health and Sports Sciences, University of the Sunshine Coast, Sippy Downs, QLD, Australia.

Paul M Salmon (PM)

Centre for Human Factors and Sociotechnical Systems, University of the Sunshine Coast, Sippy Downs, QLD, Australia.

Classifications MeSH