Analysis of Quantitative Change of Motor Child Indicators of Secondary School Students Under The Influence of Regular Physical Education // Analiza kvantitativnih promjena pokazatelja motoričkih znanja učenika srednje škole pod uticajem redovne nastave tjelesnog odgoja

Authors

  • Senad Bajrić Panevropski univerzitet „Apeiron“, Fakultet sportskih nauka, Banja Luka
  • Osmo Bajrić Panevropski univerzitet „Apeiron“, Fakultet sportskih nauka, Banja Luka
  • Velibor Srdić Panevropski univerzitet „Apeiron“, Fakultet sportskih nauka, Banja Luka
  • Saša Jovanović Fakultet fizičkog vaspitanja i sporta Banja Luka

DOI:

https://doi.org/10.7251/SSH1801042B

Abstract

The research was conducted on a sample of 166 students of „Secondary Technical School Travnik”, first and second malegrade who regularly attended elementary education during the 2016/2017 school year. A total of 15 variables were used in the research to assess the level of motor skills (three variables for assessing the motor skills of basketball, volleyball, handball, volleyball and athletics).The main aim of the research was to determine the quantitative changes of the motor skills of secondary school students through the longitudinal study in one school year duration under the influence of the program contents of regular physical education. Quantitative changes in motor skills and analysis of differences between initial and final measurements were determined by analysis of changes under the difference model and SSDIF analysis (Bonacin, 2004). By projecting measurement data, a hypothetical measurement matrix is defined, and by explicating the set of linear displacements on the association matrix, a structural vector is described describing quantitative changes, taking into account the relations of initial variables.The results of the SSDIF analysis indicate that a one-year curriculum of physical education has caused statistically significant changes in motor skills at the global level (p = 0.000). According to the results of the quantitative global changes, they are not particularly significant and extend across a whole set of analyzed variables. The greater the number of variables that contribute to these quantitative changes, but the contributions of some variables to the discriminating function are relatively small, which means that the effects produced are mild, without dramatic changes, and virtually all variables contribute positively.

Published

2018-07-26