Literature DB >> 31954146

Technical analysis in Tsuri-goshi through three complementary observational analysis.

I Prieto-Lage1, M Rodríguez-Souto2, M A Prieto3, A Gutiérrez-Santiago4.   

Abstract

The aim of this article is to identify the factors involved in learning judo based on an observational study of technical errors and their relationships. The analysis was carried out using a combination of a self-generated observational instrument (OI-JUDO-TG) and a recording instrument (developed with the Lince software) using a sample of 78 novice students. In addition, descriptive statistics and sequential analysis with polar coordinates and T-Patterns were obtained using the Hoisan and Theme software program. The implementation of the various analytical methods optimizes the knowledge of performance and the concretion of feedback, like the process of communication between the teacher and the student, that which will activate new neuronal connections in learning. The results confirmed that the most frequent chain of errors during the performance of the technique were as follows: (1) the lack of an initial imbalance, the incorrect placement of the feet, the head and (2) the head after the tsukuri of the technique, as well as the absence of load of the body during this phase and the lack of balance of the performer when finishing the projection. At the initiation of judo, analytical methods are not applied, but the personal experience or the immediate feedback from the teacher is applied. It proposes a new analytical method to learn the technical errors and the different ways to implement their correction. Through the observational analysis generated, intense relationships between the detected errors have been demonstrated, determining the presence of the ones that causes the occurrence of the others.
Copyright © 2020 Elsevier Inc. All rights reserved.

Keywords:  Judo; T-pattern; Teaching; Video analysis

Mesh:

Year:  2020        PMID: 31954146     DOI: 10.1016/j.physbeh.2020.112804

Source DB:  PubMed          Journal:  Physiol Behav        ISSN: 0031-9384


  2 in total

1.  LINCE PLUS software for systematic observational studies in sports and health.

Authors:  Alberto Soto-Fernández; Oleguer Camerino; Xavier Iglesias; M Teresa Anguera; Marta Castañer
Journal:  Behav Res Methods       Date:  2021-09-21

2.  A Systematic Review of the Use of T-Pattern and T-String Analysis (TPA) With Theme: An Analysis Using Mixed Methods and Data Mining Techniques.

Authors:  María Consuelo Sáiz-Manzanares; Laura Alonso-Martínez; Raúl Marticorena-Sánchez
Journal:  Front Psychol       Date:  2022-07-22
  2 in total

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