Data Modeling for Inter- and Intra-Individual Stability of Young Swimmers' Performance: A Longitudinal Cluster Analysis

Autor/inn/en	Morais, Jorge E.; Forte, Pedro; Silva, Antonio J.; Barbosa, Tiago M.; Marinho, Daniel A.
Titel	Data Modeling for Inter- and Intra-Individual Stability of Young Swimmers' Performance: A Longitudinal Cluster Analysis
Quelle	In: Research Quarterly for Exercise and Sport, 92 (2021) 1, S.21-33 (13 Seiten) PDF als Volltext Verfügbarkeit
Zusatzinformation	ORCID (Morais, Jorge E.) ORCID (Forte, Pedro) ORCID (Barbosa, Tiago M.) ORCID (Marinho, Daniel A.)
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	0270-1367
DOI	10.1080/02701367.2019.1708235
Schlagwörter	Aquatic Sports; Performance; Biomechanics; Reliability; Preadolescents; Individual Differences; Influences; Cluster Grouping; Identification + Suchen Sie Ihr Suchwort? Water sports; Water sport; Wassersport; Achievement; Leistung; Biomechanik; Reliabilität; Pre-adolescence; Präadoleszenz; Individueller Unterschied; Influence; Einfluss; Einflussfaktor; Eingruppierung; Identifikation; Identifizierung
Abstract	Purpose: The aims of this study were to classify, identify and follow-up young swimmers' performance and its biomechanical determinants during two competitive seasons (in seven different moments of assessment--M), and analyze the individual variations of each swimmer. Method: Thirty young swimmers (14 boys: 12.70 ± 0.63 years-old; 16 girls: 11.72 ± 0.71 years-old) were recruited. A set of anthropometric, kinematic, efficiency, hydrodynamic and mechanical power variables were assessed. Results: The cluster solution (i.e., number of ideal clusters for this sample) resulted in three clusters, which were named as--cluster 1 ("talented"), cluster 2 ("proficient"), and cluster 3 ("non-proficient"). The performance improved between moments of assessment in all clusters (cluster 1--M1: 68.07 ± 6.62s vs M7: 61.46 ± 3.43s; cluster 2--M1: 73.14 ± 4.87s vs M7: 65.33 ± 2.97s; cluster 3--M1: 82.60 ± 4.18s vs M7: 70.09 ± 3.48s). Anthropometric features also increased between moments of assessment, and remaining biomechanical variables (kinematic, efficiency, hydrodynamic and mechanical power) also increased between M1 and M7, in all clusters. Cluster 1 increased their swimmer's membership between M1 and M7 (4 to 11), cluster 2 decreased (12 to 5), and cluster 3 maintained (14). Conclusion: It can be concluded that the cluster formation depends on different determinant factors during two competitive seasons, and young swimmers are prone to change from one cluster to another over this period of time. (As Provided).
Anmerkungen	Routledge. Available from: Taylor & Francis, Ltd. 530 Walnut Street Suite 850, Philadelphia, PA 19106. Tel: 800-354-1420; Tel: 215-625-8900; Fax: 215-207-0050; Web site: http://www.tandf.co.uk/journals
Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2024/1/01