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

Identifikátory výsledku

  • Kód výsledku v 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>

  • Výsledek na webu

    <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

Alternativní jazyky

  • Jazyk výsledku

    angličtina

  • Název v původním jazyce

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

  • Popis výsledku v původním jazyce

    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.

  • Název v anglickém jazyce

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

  • Popis výsledku anglicky

    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.

Klasifikace

  • Druh

    J<sub>imp</sub> - Článek v periodiku v databázi Web of Science

  • CEP obor

  • OECD FORD obor

    50202 - Applied Economics, Econometrics

Návaznosti výsledku

  • Projekt

  • Návaznosti

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Ostatní

  • Rok uplatnění

    2019

  • Kód důvěrnosti údajů

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

Údaje specifické pro druh výsledku

  • Název periodika

    E+M

  • ISSN

    1212-3609

  • e-ISSN

  • Svazek periodika

    22

  • Číslo periodika v rámci svazku

    2

  • Stát vydavatele periodika

    CZ - Česká republika

  • Počet stran výsledku

    18

  • Strana od-do

    22-39

  • Kód UT WoS článku

    000482727500002

  • EID výsledku v databázi Scopus