Universidad de Burgos RIUBU Principal Default Universidad de Burgos RIUBU Principal Default
  • español
  • English
  • français
  • Deutsch
  • português (Brasil)
  • italiano
Universidad de Burgos RIUBU Principal Default
  • Ayuda
  • Contact Us
  • Send Feedback
  • Acceso abierto
    • Archivar en RIUBU
    • Acuerdos editoriales para la publicación en acceso abierto
    • Controla tus derechos, facilita el acceso abierto
    • Sobre el acceso abierto y la UBU
    • español
    • English
    • français
    • Deutsch
    • português (Brasil)
    • italiano
    • español
    • English
    • français
    • Deutsch
    • português (Brasil)
    • italiano
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Browse

    All of RIUBUCommunities and CollectionsBy Issue DateAuthorsTitlesSubjectsThis CollectionBy Issue DateAuthorsTitlesSubjects

    My Account

    LoginRegister

    Statistics

    View Usage Statistics

    Compartir

    View Item 
    •   RIUBU Home
    • E-Prints
    • Untitled
    • Untitled
    • Untitled
    • View Item
    •   RIUBU Home
    • E-Prints
    • Untitled
    • Untitled
    • Untitled
    • View Item

    Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10259/10472

    Título
    Match analysis in wheelchair basketball: An observational analysis of the best team in the world (USA) in the 2020 Paralympic Games
    Autor
    Arroyo del Bosque, Rubén
    Alsasua, Roberto
    Arana, Javier
    Lapresa Ajamil, Daniel
    Anguera, María Teresa
    Publicado en
    International Journal of Sports Science & Coaching. 2023, V. 19, n. 3, p. 1112-1122
    Editorial
    Sage publications
    Fecha de publicación
    2023-06
    ISSN
    1747-9541
    DOI
    10.1177/17479541231181616
    Abstract
    This work shows the possibilities that observational analysis can offer to match analysis in Wheelchair Basketball, outlined in a study of the sequences that end in a shot, in the men's team considered to be the best in the world (USA), in the Tokyo Paralympic Games 2020. Data recording and coding the 527 sequences that end in a shot was carried out via the LINCE software, and inter-rater reliability guaranteed using Cohen's Kappa coefficient. Two diachronic behaviour analysis techniques – lag sequential analysis and T-pattern detection – were applied complementarily, thus allowing us to characterise effective and ineffective sequences. Effective behaviours are highlighted as being those which incorporate a final reception and shot by players with less functional limitation; or those in which the shot is made from the paint. Ineffective behaviours are those carried out by players with greater functional difficulty; or those which end in shots made from the offensive zone and external offensive zone.
    Materia
    Deportes
    Sports
    URI
    http://hdl.handle.net/10259/10472
    Versión del editor
    https://doi.org/10.1177/17479541231181616
    Collections
    • Untitled
    Files in this item
    Nombre:
    Arroyo-ijoss&c_2023.pdf
    Tamaño:
    484.8Kb
    Formato:
    Adobe PDF
    Thumbnail
    FilesOpen

    Métricas

    Citas

    Academic Search
    Ver estadísticas de uso

    Export

    RISMendeleyRefworksZotero
    • edm
    • marc
    • xoai
    • qdc
    • ore
    • ese
    • dim
    • uketd_dc
    • oai_dc
    • etdms
    • rdf
    • mods
    • mets
    • didl
    • premis
    Show full item record