On the relationship between selected socio-economic indicators and student performances in the PISA 2015 study

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F47813059%3A19520%2F19%3AA0000066" target="_blank" >RIV/47813059:19520/19:A0000066 - isvavai.cz</a>

Result on the web

<a href="https://dspace.tul.cz/bitstream/handle/15240/152593/EM_2_2019_02.pdf?sequence=1&isAllowed=y" target="_blank" >https://dspace.tul.cz/bitstream/handle/15240/152593/EM_2_2019_02.pdf?sequence=1&isAllowed=y</a>

DOI - Digital Object Identifier

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Result language

angličtina

Original language name

On the relationship between selected socio-economic indicators and student performances in the PISA 2015 study

Original language description

The main aim of this paper was to examine the relationship between the PISA (Programme for International Student Assessment) international study results of 15 and 16 years-old pupils from 2015 and a set of socio-economic indicators (on a national level) such as governments’ expenditures on primary education, gross domestic product per capita, the Democracy index compiled by the Economist Intelligence Unit, or primary teachers’ salaries. The study covered 71 countries or territories, including 34 OECD countries and their 37 non-OECD counterparts. The methods included multivariate linear models, models based on Törnquist functions, and cluster analysis. The main result of the study is that there exists a threshold in terms of GDP per capita and government expenditures on primary education per capita. Above the threshold, the higher GDP per capita or expenditures do not translate into the higher PISA scores. However, below this threshold, the opposite is true. Therefore, poorer and mainly non-OECD countries may achieve better student performances in PISA tests by increasing expenditures on primary education, while for student performances of the wealthy and mainly OECD countries expenditures are not a statistically significant factor. The division between OECD and non-OECD countries was also confirmed to be statistically significant by cluster analysis method. In addition, from linear multivariate models it was found that PISA scores were statistically significantly (and positively) related to the national GDP per capita, governments’ expenditures on primary education, and the Democracy index, while the influence of primary teachers’ salaries on PISA scores was found statistically insignificant.

Czech name

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Czech description

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Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

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OECD FORD branch

50202 - Applied Economics, Econometrics

Project

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Continuities

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2019

Confidentiality

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

Name of the periodical

E+M

ISSN

1212-3609

e-ISSN

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Volume of the periodical

22

Issue of the periodical within the volume

2

Country of publishing house

CZ - CZECH REPUBLIC

Number of pages

18

Pages from-to

22-39

UT code for WoS article

000482727500002

EID of the result in the Scopus database

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