Please use this identifier to cite or link to this item: https://repository.ldufk.edu.ua/handle/34606048/10475
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dc.contributor.authorTovstonoh, Olexandr
dc.contributor.authorRoztorhui, Mariia
dc.contributor.authorZahura, Fedir
dc.contributor.authorVynogradskyi, Bogdan
dc.contributor.authorТовстоног, Олександр
dc.contributor.authorРозторгуй, Марія
dc.contributor.authorЗагура, Федір
dc.contributor.authorВиноградський, Богдан
dc.date.accessioned2018-05-16T09:59:53Z-
dc.date.available2018-05-16T09:59:53Z-
dc.date.issued2015
dc.identifier.citationExperimental substantiation of teaching algorithm of technique in weightlifting and powerlifting competitive exercises / Olexandr Tovstonoh, Mariia Roztorhui, Fedir Zahura, Bogdan Vynogradskyi // Journal of Physical Education and Sport. - 2015. - Vol. 15, is. 2. - P. 319 - 323. (Scopus)uk_UA
dc.identifier.urihttp://repository.ldufk.edu.ua/handle/34606048/10475-
dc.description.abstractFundamentals of teaching the competitive exercises technique in strength sports need to be improved to meet the requirements of sports practice. The research aim is to find out the effectiveness of algorithmization of teaching the competitive exercises technique in strength sports on the example of weightlifting and powerlifting. It has been established that athletes of experimental groups made significantly (p≤0,05) fewer errors as compared to control groups athletes. Algorithmization of teaching the technique in strength sports contributed to the quality of mastering the competitive exercises technique by athletes at the stage of initial training as compared to the training program of junior sport schools.uk_UA
dc.language.isoenuk_UA
dc.subjectweightliftinguk_UA
dc.subjectpowerliftinguk_UA
dc.subjecttechniqueuk_UA
dc.subjectalgorithmuk_UA
dc.subjecttraininguk_UA
dc.titleExperimental substantiation of teaching algorithm of technique in weightlifting and powerlifting competitive exercisesuk_UA
dc.typeArticleuk_UA
Appears in Collections:Наукові праці професорсько-викладацького складу ЛДУФК в базах даних Scopus, WoS, Tomson Reuters

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