Research data

Data: Macro data for PISA 2018

GESIS, Cologne. Data File Version 1.0.0, https://doi.org/10.7802/2605
Other Title (type): The effect of education system and school characteristics on the gender gap in competencies. An international comparison. (Projekttitel)
Abstract: Contents of the dataset on country/macro level includes nine variables considering school and education system characteristics as well as country characteristics: number of school types/tracks for 9th grade/15-year-olds; age at first selection; preschool obligation; compulsory school years/education years (with pre-primary school); government expenditure on education, total (% of GDP); mean years of schooling; Human Development Index (HDI); Gender Inequality Index (GII); women’s share of seats in parliament (in %) The data set contains information on 82 countries and regions that participated ... more
Availability: Free access (with registration)
Subject area: Sociology of Education

Methodology

Temporal Research Design: cross-section

Bibliographic information

Primärforschende, Institution: Zapfe, Laura; Universität Würzburg
Publication year: 2023
DOI: 10.7802/2605
Study number: SDN-10.7802-2605
Publisher: GESIS, Cologne

Versions

Current Version: 1.0.0, https://doi.org/10.7802/2605

Reference publications

Publications: [Zapfe, Laura (in press): The effect of education system and school characteristics on the gender gap in competencies. An international comparison. Wiesbaden: Springer. | Zapfe, Laura (2023). Code/Syntax: The effect of education system and school characteristics on the gender gap in competencies. An international comparison. Datenfile Version 1.0.0 ... more

Cite

Zapfe, Laura (2023). Data: Macro data for PISA 2018. GESIS, Cologne. Data File Version 1.0.0, https://doi.org/10.7802/2605.

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