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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

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

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

Result continuities

  • Project

  • 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