Estudio observacional de la salida de tacos de atletismo en las fases específicas "a sus puestos" y "listos"
Autor:
Lapresa Ajamil, Daniel
; Solano, Ricardo
; Arana, Javier
; Anguera, María Teresa
; Aragón, Sonia
Fecha:
2018Palabra clave:
Revista / editorial:
Revista Iberoamericana de Psicología del Ejercicio y el DeporteTipo de Ítem:
Articulo Revista IndexadaDirección web:
http://www.webs.ulpgc.es/riped/?opt=contenidosResumen:
Se ha diseñado una herramienta observacional ad hoc que permite analizar e
interpretar las fases “a sus puestos” y “listos” en la salida de tacos. Los registros
correspondientes a cinco atletas juveniles féminas, que realizaron seis salidas cada una, han
permitido analizar la fiabilidad, validez y operatividad de la herramienta observacional. La
fiabilidad se ha garantizado a partir de concordancia cuantitativa intraobservador, mediante el
coeficiente Kappa de Cohen, bajo el parámetro orden (κ = .970). La validez se ha determinado
en el seno de la Teoría de la Generalizabilidad (e
2 = .00); que a su vez ha permitido constatar que
con el número de atletas (e
2 = .997) y salidas (e
2 = 1) utilizado se ha conseguido una elevada
fiabilidad de precisión de generalización. La operatividad se ha mostrado mediante la detección
de T-patterns con el programa THEME, habiéndose podido determinar aspectos técnicos
concretos (ajuste y error) respecto al patrón técnico ideal, tanto intra-atleta como inter-atletas
Descripción:
We designed an ad hoc observation instrument for analyzing and interpreting the
ready and set phases of block starts in track events. To test the reliability, validity, and
functionality of the instrument, we analyzed datasets corresponding to six block starts by five
junior female athletes. The reliability of the instrument was shown by calculating Cohen’s kappa
coefficient for quantitative intraobserver agreement using the order parameter (κ = .970).
Validity was demonstrated using generalizability theory (e
2 = .00), which also showed that the
number of athletes (e
2 = .997) and starts included in the sample (e
2 = 1) were sufficient to achieve
the desired level of measurement precision. The functionality of the instrument was tested by
searching for hidden temporal patterns in the datasets using the software program THEME. We
detected specific technical differences (adjustment and error) both within and between athletes
with respect to the ideal starting technique
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