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Pregled bibliografske jedinice broj: 504783

Structural Analysis of Knowledge Based on Specific Atributes of the Game of Basketball


Trninić, Slavko; Karalejić, Milivoj; Jakovljević, Saša; Jelaska, Igor
Structural Analysis of Knowledge Based on Specific Atributes of the Game of Basketball // Fizička kultura (Beograd), 64 (2010), 2; 22-41 (podatak o recenziji nije dostupan, članak, znanstveni)


CROSBI ID: 504783 Za ispravke kontaktirajte CROSBI podršku putem web obrasca

Naslov
Structural Analysis of Knowledge Based on Specific Atributes of the Game of Basketball

Autori
Trninić, Slavko ; Karalejić, Milivoj ; Jakovljević, Saša ; Jelaska, Igor

Izvornik
Fizička kultura (Beograd) (0350-3828) 64 (2010), 2; 22-41

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni

Ključne riječi
Tasks; Attributes; Experts; Factor analysis; Cluster analysis; Discriminant analysis

Sažetak
The purpose of this work was to determine the structure of latent factors, to identify and analyse groups of game tasks under specifi c attributes and variables, to classify the tasks into relatively homogenous groups, and to determine the differences between the acquired groups of tasks. In order to achieve the above mentioned it was necessary to construct a measuring instrument (questionnaire) for the registration of knowledge in the game of basketball. For the characterisation of entities, 16 specifi c attributes were chosen, according to which ten competent experts performed the assessment. Within the research space, factor analysis under component model was used, along with Guttman-Kaiser criterion and OBLIMIN rotation. Three latent dimensions in the space of specifi c game attributes were isolated: information component, energy component (game intensity) and socio-motor interaction. Along with factor analysis, hierarchical method of classifi cation was used, where the tasks in the space of specifi c game attributes were classifi ed into three homogenous groups. In the space of specifi c attributes three groups were acquired and they were interpreted as A, B and C. • Group A – tasks that demand high energy component, low socio-motor interaction and low information component, • Group B – tasks that demand above average information component, a bit lower energy component and below average socio-motor interaction and, • Group C – tasks that demand high level of socio-motor interaction, low energy component and medium information component. Objectively scientifi cally arranged groups of associated data can directly infl uence the creation of curriculum and syllabus for basketball players training, evaluation of players’ performance, and they make the foundation for the realization of further researches in the fi eld of team sports games analysis.

Izvorni jezik
Engleski

Znanstvena područja
Informacijske i komunikacijske znanosti, Pedagogija



POVEZANOST RADA


Projekti:
315-0342607-1815 - Dijagnostika specifičnih psihosocijalnih obilježja sportaša u sportskim igrama (Trninić, Slavko, MZOS ) ( CroRIS)

Ustanove:
Kineziološki fakultet, Split

Profili:

Avatar Url Slavko Trninić (autor)

Avatar Url Igor Jelaska (autor)

Citiraj ovu publikaciju:

Trninić, Slavko; Karalejić, Milivoj; Jakovljević, Saša; Jelaska, Igor
Structural Analysis of Knowledge Based on Specific Atributes of the Game of Basketball // Fizička kultura (Beograd), 64 (2010), 2; 22-41 (podatak o recenziji nije dostupan, članak, znanstveni)
Trninić, S., Karalejić, M., Jakovljević, S. & Jelaska, I. (2010) Structural Analysis of Knowledge Based on Specific Atributes of the Game of Basketball. Fizička kultura (Beograd), 64 (2), 22-41.
@article{article, author = {Trnini\'{c}, Slavko and Karaleji\'{c}, Milivoj and Jakovljevi\'{c}, Sa\v{s}a and Jelaska, Igor}, year = {2010}, pages = {22-41}, keywords = {Tasks, Attributes, Experts, Factor analysis, Cluster analysis, Discriminant analysis}, journal = {Fizi\v{c}ka kultura (Beograd)}, volume = {64}, number = {2}, issn = {0350-3828}, title = {Structural Analysis of Knowledge Based on Specific Atributes of the Game of Basketball}, keyword = {Tasks, Attributes, Experts, Factor analysis, Cluster analysis, Discriminant analysis} }
@article{article, author = {Trnini\'{c}, Slavko and Karaleji\'{c}, Milivoj and Jakovljevi\'{c}, Sa\v{s}a and Jelaska, Igor}, year = {2010}, pages = {22-41}, keywords = {Tasks, Attributes, Experts, Factor analysis, Cluster analysis, Discriminant analysis}, journal = {Fizi\v{c}ka kultura (Beograd)}, volume = {64}, number = {2}, issn = {0350-3828}, title = {Structural Analysis of Knowledge Based on Specific Atributes of the Game of Basketball}, keyword = {Tasks, Attributes, Experts, Factor analysis, Cluster analysis, Discriminant analysis} }

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