Replication data for: The moderating effect of gender equality on education

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Campbell, Janine Anne, 2021, "Replication data for: The moderating effect of gender equality on education", https://doi.org/10.18710/CHB8QS, DataverseNO, V2

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Description	Supplementary material and data for journal article titled "The Moderating Effect of Gender Equality and Other Factors on PISA and Education Policy". ABSTRACT from the article: Globalisation and policy transfer in education make it incumbent upon decision makers to prioritise among competing policy options, select policy initiatives that are appropriate for their national contexts, and understand how system-specific factors moderate the relationship between those policies and student outcomes. This study used qualitative comparative analysis and correlational analyses to explore these relationships with publicly available data on socio-economic, cultural, and education conditions, and their association with PISA 2015 results in 49 countries. Findings show that gender and income equality, human development, and individualism were outcome-enabling conditions for PISA 2015 results, and gender equality was the most consistent of these conditions. These factors significantly moderated the relationships between education policy and PISA results. Implications for the identification of meaningful peer countries for comparative educational research, policy transfer, and the future expansion of PISA are discussed in the article. (2021-01-01)
Subject	Social Sciences; Other
Keyword	education policy, PISA, international comparative research, system-specific factors, gender equality, human development, context, culture, Qualitative Comparative Analysis (QCA)
Related Publication	Campbell, J. A. (2021). The Moderating Effect of Gender Equality and Other Factors on PISA and Education Policy. Education Sciences, 11(1), 10. doi: 10.3390/educsci11010010
License/Data Use Agreement	Custom Dataset Terms

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Citation Metadata

Persistent Identifier	doi:10.18710/CHB8QS
Publication Date	2021-01-20
Title	Replication data for: The moderating effect of gender equality on education
Alternative Title	The Moderating Effect of Gender Equality and Other Factors on PISA and Education Policy
Author	Campbell, Janine Anne (University of Stavanger) - ORCID: 0000-0001-7532-3523
Point of Contact	Use email button above to contact. Campbell, Janine Anne (University of Stavanger)
Description	Supplementary material and data for journal article titled "The Moderating Effect of Gender Equality and Other Factors on PISA and Education Policy". ABSTRACT from the article: Globalisation and policy transfer in education make it incumbent upon decision makers to prioritise among competing policy options, select policy initiatives that are appropriate for their national contexts, and understand how system-specific factors moderate the relationship between those policies and student outcomes. This study used qualitative comparative analysis and correlational analyses to explore these relationships with publicly available data on socio-economic, cultural, and education conditions, and their association with PISA 2015 results in 49 countries. Findings show that gender and income equality, human development, and individualism were outcome-enabling conditions for PISA 2015 results, and gender equality was the most consistent of these conditions. These factors significantly moderated the relationships between education policy and PISA results. Implications for the identification of meaningful peer countries for comparative educational research, policy transfer, and the future expansion of PISA are discussed in the article. (2021-01-01)
Subject	Social Sciences; Other
Keyword	education policy PISA international comparative research system-specific factors gender equality human development context culture Qualitative Comparative Analysis (QCA)
Related Publication	Campbell, J. A. (2021). The Moderating Effect of Gender Equality and Other Factors on PISA and Education Policy. Education Sciences, 11(1), 10. doi: 10.3390/educsci11010010 https://www.mdpi.com/2227-7102/11/1/10 Campbell, J. A. (2019). PISA, education policy, and the teaching profession: How context matters. (Thesis, Doctor of Education). University of Otago. handle: 10523/9716 https://ourarchive.otago.ac.nz/handle/10523/9716
Language	English
Producer	University of Stavanger University of Otago
Contributor	Hosting Institution : University of Otago
Distributor	University of Stavanger (University of Stavanger) https://dataverse.no/dataverse/uis
Depositor	Campbell, Janine Anne
Deposit Date	2021-01-05
Time Period	Start Date: 2015-01-01 ; End Date: 2015-12-31
Date of Collection	Start Date: 2016-07-01 ; End Date: 2017-12-31
Data Type	aggregate data; international assessments and indices
Software	R, Version: 4.0.3 QCA, Version: 3.10 Set Methods, Version: 2.6
Data Source	The OECD; The World Bank; The United Nations Development Programme; The Heritage Foundation; The United Nations Department of Economic and Social Affairs; The World Economic Forum; The Economic Intelligence Unit; Hofstede Insights

Geospatial Metadata

Geographic Unit	country

Social Science and Humanities Metadata

Unit of Analysis	Country
Universe	49 countries that administered PISA 2015 + 34 other countries with complete data on system level factors
Time Method	Cross-sectional
Data Collector	The OECD, The World Bank, The United Nations Development Programme, The Heritage Foundation, The United Nations Department of Economic and Social Affairs, The World Economic Forum, The Economic Intelligence Unit, Hofstede Insights
Sampling Procedure	From a possible universe of all countries, the criteria for selection for the main analysis, resulting in a sample of 49 countries, were (1) having validated PISA 2015 results, and (2) having available data on all system-level and cultural factors. The criterion for selection for the secondary analysis, discussed in implications and resulting in a sample of 83 countries, was having complete data on the four most important system-level factors identified in the main analysis.

Dataset Terms

License/Data Use Agreement

Our Community Norms as well as good scientific practices expect that proper credit is given via citation. Please use the data citation shown on the dataset page.

Custom Dataset Terms — the following Custom Dataset Terms have been defined for this dataset.

This dataset, "Replication data for: The moderating effect of gender equality on education", may be reused according to the Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) license as described here: https://creativecommons.org/licenses/by-nc-nd/4.0

Some of the data in the dataset has other licenses, see below for details.

The data combined in the files in this dataset, "Replication data for: The moderating effect of gender equality on education", has been obtained from sources from the following data providers (in alphabetical order):

Geert Hofstede B.V:
The research data and questionnaires of Geert Hofstede are free to use for research purposes. See: Contact and copyright information for Geert Hofstede's work. ©Geert Hofstede B.V. quoted with permission.

Data from Hofstede in this dataset:
- Hofstede, G. (2001). Cultures consequences: Comparing values, behaviors, institutions and organizations across cultures (2nd ed.). Thousand Oaks, CA: SAGE Publications.
- Hofstede, G. (2010). Cultures and organizations: Software of the mind. New York, NY: McGraw Hill.
- Hofstede, G. (2018). Cultural dimensions. Retrieved 1st of March 2018, from https://geert-hofstede.com/cultural-dimensions.html

Heritage Foundation:
The content on this website is protected by United States copyright law. You may link to, copy, redistribute, or display the web pages (or screen captures of web pages) found on this site for educational, journalistic, commentary, or artistic purposes, provided that they are unedited and complete copies of the web page as it originally appeared on this site, without editing or alteration. Commercial reproduction and distribution is expressly forbidden.
You may copy and redistribute (“cut and paste”) the unedited and unaltered text of the articles found on this web site for educational, journalistic, commentary, or artistic purposes, provided that such redistribution includes the original headline, entire text, and complete credit and sourcing to The Heritage Foundation, as well as the URL of the web page from which the text was copied.
You may not in isolation copy, redistribute, display, or otherwise reproduce or make derivative works from any photograph, illustration, or other content that is attributed or credited to any entity other than The Heritage Foundation, and nothing in this Copyright Policy shall be deemed to be implied license to do so.

Data from Heritage Foundation in this dataset:
- Heritage Foundation. (2018). Index of economic freedom. Retrieved 1st of March 2018, from https://www.heritage.org/index/download

OECD:
30% or less of a complete work or a maximum of 5 tables and/or graphs taken from a work is granted free of charge and without formal written permission provided you do not alter the material in any way, and you cite the source as follows: OECD/(co-author(s) if any) (year), (Title), URL.

Data from OECD in this dataset:
- OECD. (2014b). TALIS 2013 results: An international perspective on teaching and learning. Paris, France: OECD Publishing.
- OECD. (2016a). Education at a glance 2016: OECD indicators. Paris, France: OECD Publishing.
- OECD. (2016c). PISA 2015 Results: Excellence and equity in education (Vol. II). Paris, France: OECD Publishing.
- OECD. (2018c). Income inequality. Retrieved 1st of March 2018, from https://data.oecd.org/inequality/income-inequality.htm

Statistics Times:
Anyone can use the data of StatisticsTimes.com.

Data from Statistics Times in this dataset:
- Statistics Times. (2015, April 8). List of countries by population. Retrieved 1st of March 2018, from http://statisticstimes.com/population/countries-by-population.php

SpringerNature:
An official permission license is not required provided you cite the original material.

Data from SpringerNature in this dataset:
- Alesina, A., Devleeschauwer, A., Easterly, W., Kurlat, S., & Wacziarg, R. (2003). Fractionalization. Journal of Economic Growth, 8(2), 155–194.

United Nations Development Programme:
The material is copyrighted under the Creative Commons Attribution 3.0 IGO license. You are free to:
Share — copy and redistribute the material in any medium or format
Adapt — remix, transform, and build upon the material for any purpose, even commercially.
Conditions:
You must give appropriate credit, provide a link to the license, and indicate where changes were made. You may do so in any reasonable manner, but in no way that suggests the licensor endorses you or your use.

Data from United Nations in this dataset:
- United Nations Department of Economic and Social Affairs. (2016). International migrant stock 2015. Retrieved 1st of March 2018, from http://www.un.org/en/development/desa/population/migration/data/estimates2/estimates15.shtml
- United Nations Development Programme. (2016b). Gender inequality index (GII). Retrieved 1st of March 2018, from http://hdr.undp.org/en/content/gender-inequality-index-gii
United Nations Development Programme. (2016c). Table 1: Human development index and its components. Retrieved 1st of March 2018, from http://hdr.undp.org/en/composite/HDI

World Bank:
CC BY-4.0

Data from World Bank in this dataset:
- World Bank. (2018a). GDP per capita (current US). Retrieved 1st of March 2018, from http://data.worldbank.org/indicator/NY.GDP.PCAP.CD
- World Bank. (2018b). Income share held by highest 20%. Retrieved 1st of March 2018, from http://data.worldbank.org/indicator/SI.DST.05TH.20
- World Bank. (2018c). Income share held by lowest 20%. Retrieved 1st of March 2018, from http://data.worldbank.org/indicator/SI.DST.FRST.20

World Economic Forum:
Use of the forum’s material is licensed to you under the terms of Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International Public Licence (“CCPL”).

Data from the World Economic Forum in this dataset:
- World Economic Forum. (2018). The global gender gap report 2015. Retrieved 1st of March 2018, from http://reports.weforum.org/global-gender-gap-report-2015/

REFERENCES:
Alesina, A., Devleeschauwer, A., Easterly, W., Kurlat, S., & Wacziarg, R. (2003). Fractionalization. Journal of Economic Growth, 8(2), 155–194.
Economist Intelligence Unit. (2018). Democracy index 2015: Democracy in an age of anxiety. Retrieved 1st of March 2018, from https://www.eiu.com/public/topicalreport.aspx?campaignid=DemocracyIndex2015 [Data removed from dataset due to copyright issues]
Heritage Foundation. (2018). Index of economic freedom. Retrieved 1st of March 2018, from https://www.heritage.org/index/download
Hofstede, G. (2001). Cultures consequences: Comparing values, behaviors, institutions and organizations across cultures (2nd ed.). Thousand Oaks, CA: SAGE Publications. ©Geert Hofstede B.V. quoted with permission
Hofstede, G. (2010). Cultures and organizations: Software of the mind. New York, NY: McGraw Hill. ©Geert Hofstede B.V. quoted with permission
Hofstede, G. (2018). Cultural dimensions. Retrieved 1 March 2018, from https://geert -hofstede.com/cultural-dimensions.html
OECD. (2014b). TALIS 2013 results: An international perspective on teaching and learning. Paris, France: OECD Publishing.
OECD. (2016a). Education at a glance 2016: OECD indicators. Paris, France: OECD Publishing.
OECD. (2016c). PISA 2015 Results: Excellence and equity in education (Vol. II). Paris, France: OECD Publishing.
OECD. (2018c). Income inequality. Retrieved 01 March 2018, from https://data.oecd.org/inequality/income-inequality.htm
Statistics Times. (2015, April 8). List of countries by population. Retrieved 1st of March 2018, from http://statisticstimes.com/population/countries-by-population.php
United Nations Department of Economic and Social Affairs. (2016). International migrant stock 2015. Retrieved 1st of March 2018, from http://www.un.org/en/development/desa/population/migration/data/estimates2/estimates15.shtml United Nations Development Programme. (2016b). Gender inequality index (GII). Retrieved 1st of March 2018, from http://hdr.undp.org/en/content/gender-inequality-index-gii
United Nations Development Programme. (2016c). Table 1: Human development index and its components. Retrieved 1st of March 2018, from http://hdr.undp.org/en/composite/HDI
World Bank. (2018a). GDP per capita (current US). Retrieved 1st of March 2018, from http://data.worldbank.org/indicator/NY.GDP.PCAP.CD
World Bank. (2018b). Income share held by highest 20%. Retrieved 1st of March 2018, from http://data.worldbank.org/indicator/SI.DST.05TH.20
World Bank. (2018c). Income share held by lowest 20%. Retrieved 1st of March 2018, from http://data.worldbank.org/indicator/SI.DST.FRST.20
World Economic Forum. (2018). The global gender gap report 2015. Retrieved 1st of March 2018, from http://reports.weforum.org/global-gender-gap-report-2015/

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License/Data Use Agreement

Our Community Norms as well as good scientific practices expect that proper credit is given via citation. Please use the data citation shown on the dataset page.

Custom terms specific to this dataset Custom Dataset Terms — the following Custom Dataset Terms have been defined for this dataset.

Terms of Use This dataset, "Replication data for: The moderating effect of gender equality on education", may be reused according to the Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) license as described here: https://creativecommons.org/licenses/by-nc-nd/4.0

Some of the data in the dataset has other licenses, see below for details.

Data from Heritage Foundation in this dataset:
- Heritage Foundation. (2018). Index of economic freedom. Retrieved 1st of March 2018, from https://www.heritage.org/index/download

Statistics Times:
Anyone can use the data of StatisticsTimes.com.

SpringerNature:
An official permission license is not required provided you cite the original material.

Data from SpringerNature in this dataset:
- Alesina, A., Devleeschauwer, A., Easterly, W., Kurlat, S., & Wacziarg, R. (2003). Fractionalization. Journal of Economic Growth, 8(2), 155–194.

World Bank:
CC BY-4.0

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