Analysis of Cardinal-Variables’ Dependences Regarding Models’ Structures in Applied Research of PISA

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61988987%3A17450%2F22%3AA2402K08" target="_blank" >RIV/61988987:17450/22:A2402K08 - isvavai.cz</a>

Result on the web

<a href="http://www.computer.org/cps" target="_blank" >http://www.computer.org/cps</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/MCSI55933.2022.00030" target="_blank" >10.1109/MCSI55933.2022.00030</a>

Result language

angličtina

Original language name

Analysis of Cardinal-Variables’ Dependences Regarding Models’ Structures in Applied Research of PISA

Original language description

In the frame of applied mathematical modeling, a wide spectrum of that approximations of real processes has been proposed and used. The specifics of the quantitative research techniques can be suitably utilized in favour of real situations. In the case of an analysis of a big data set, the consequences between mathematical models can be interesting in the selection of appropriate models. Particularly in a regression analysis, the spectrum of model structures has been widely offered depending on the expert approach or regarding the quality criteria. The quality of the model may not be generally the priority whether on other aspects is a mathematical model focused. For purposes of description of various situations that occurred due to setting the appropriate structure of mathematical models, their fitting behavior is identified progressively in this paper. In this contribution, the selected type of models can be classified as multivariable regression models. The partial dependences of Cardinal- Variables’ Dependences are analysed steeply from onedimensional cases to multidimensional models. The applied research, in which the results can be particularly utilized regarding the progressively changed structure of model, the research within frame of PISA monitoring (OECD’s Programme for International Student Assessment) is presented.

Czech name

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Czech description

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Type

D - Article in proceedings

CEP classification

—

OECD FORD branch

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

Project

—

Continuities

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2022

Confidentiality

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

Article name in the collection

7th International Conference on Mathematics and Computers in Sciences and Industry (MCSI)

ISBN

978-1-6654-8190-8

ISSN

—

e-ISSN

—

Number of pages

4

Pages from-to

151-154

Publisher name

IEEE Computer Society Conference Publishing Services (CPS)

Place of publication

Athens, Greece

Event location

Athens, Greece

Event date

Aug 22, 2022

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

000995248300023