Particular Analysis of Normality of Data in Applied Quantitative Research
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61988987%3A17450%2F19%3AA2001VGG" target="_blank" >RIV/61988987:17450/19:A2001VGG - isvavai.cz</a>
Result on the web
<a href="https://link.springer.com/chapter/10.1007%2F978-3-030-00211-4_31" target="_blank" >https://link.springer.com/chapter/10.1007%2F978-3-030-00211-4_31</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-030-00211-4_31" target="_blank" >10.1007/978-3-030-00211-4_31</a>
Alternative languages
Result language
angličtina
Original language name
Particular Analysis of Normality of Data in Applied Quantitative Research
Original language description
Statistical methods have been widely applied in the concrete realizations of researches. A suitable procedure for providing of a significant research is generally based on a complementation of two types of approaches - a qualitative or a quantitative research. In the current researches in a field of education, the quantitative research is principally bound on computations of appropriate statistical methods; however, a modular approach of a software using of these methods can be frequently seen. Implementations and mathematical principles can be hidden and often unknown for some users of software support, because a modern software interface can return results in a comfortable form of p-values. In this paper, a normality testing of data is highlighted and further analyzed with focusing on relations between a normality occurrence and size of population using an example of a practical application of a pedagogical research.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
50301 - Education, general; including training, pedagogy, didactics [and education systems]
Result continuities
Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2019
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Computational and Statistical Methods in Intelligent Systems, Advances in Intelligent Systems and Computing (vol. 859)
ISBN
978-3-030-00210-7
ISSN
2194-5357
e-ISSN
2194-5365
Number of pages
13
Pages from-to
353-365
Publisher name
Springer
Place of publication
Cham
Event location
Szczecin, Poland
Event date
Sep 12, 2018
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000502603900031