Identification of Similarities in Approaches to Paired Comparisons in Visual Arts Education

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61988987%3A17450%2F20%3AA21028T4" target="_blank" >RIV/61988987:17450/20:A21028T4 - isvavai.cz</a>
Result on the web
<a href="https://link.springer.com/chapter/10.1007/978-3-030-63319-6_25" target="_blank" >https://link.springer.com/chapter/10.1007/978-3-030-63319-6_25</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-030-63319-6_25" target="_blank" >10.1007/978-3-030-63319-6_25</a>

Result language
angličtina
Original language name
Identification of Similarities in Approaches to Paired Comparisons in Visual Arts Education
Original language description
In some applied sciences, the type of the qualitative research has been frequently appeared. However, the quantitative research can be also the useful methodology; even though, the statistical significance can increase the guarantee of the research. In this paper, the quantitative type of the methodology is presented on the applied practically realized research of the student’s results in the area of the visual arts education. On the data, the statistical approaches for purposes of the paired comparisons are applied. Firstly, the generally used statistical techniques of the paired tests are realized with an obtainment of p values, the test criterions and the effect sizes. As the second, the correlation coefficients and the descriptive characteristics are determined. Both approaches are provided with regards to the sample size. In the achieved results, the similarities of these different types of approaches are identified by the cluster analysis with regards to the changing the sample size.
Czech name
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Czech description
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Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year
2020
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Software Engineering Perspectives in Intelligent Systems (vol.2), Advances in Intelligent Systems and Computing (vol. 1295)
ISBN
978-3-030-63318-9
ISSN
2194-5357
e-ISSN
2194-5365
Number of pages
10
Pages from-to
294-303
Publisher name
Springer Nature
Place of publication
Cham
Event location
Zlin
Event date
Oct 14, 2020
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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