Particular Analysis of Normality of Data in Applied Quantitative Research

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

Particular Analysis of Normality of Data in Applied Quantitative Research

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

Particular Analysis of Normality of Data in Applied Quantitative Research

Popis výsledku anglicky

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.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

50301 - Education, general; including training, pedagogy, didactics [and education systems]

Projekt

—

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2019

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

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

Počet stran výsledku

13

Strana od-do

353-365

Název nakladatele

Springer

Místo vydání

Cham

Místo konání akce

Szczecin, Poland

Datum konání akce

12. 9. 2018

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

000502603900031