Quantitative analysis of education in South Africa and southern Africa. Analysis of education data sets, particularly international educational evaluations (SACMEQ, TIMSS, PIRLS, PISA-D). The focus will be on social gradients and resilience, closely linked to current research undertaken by Resep.
Research on labour markets and education in Southern Africa. Analysis of household data sets and educational evaluation data such as SACMEQ, PIRLS or TIMSS, with a particular focus on labour market outcomes and how these are influenced by education level and quality.
Stellenbosch Working Paper Series No. WP20/2020
Publication date: November 2020
This is a summary report that presents the key findings and approach used in identifying early grade reading benchmarks and thresholds in three Nguni languages: isiZulu, isiXhosa and siSwati.
This report presents the key findings and approach used in identifying early grade reading benchmarks and thresholds in three Nguni languages: isiZulu, isiXhosa and siSwati.
This working paper presents the findings of research into the impact of the COVID-19 pandemic on the curriculum in South Africa. Four research questions frame the report:
This project is linked to the Early Learning Programme (ELP) and uses data from the Readership and Literacy project but is also supplemented by others funded by Economic and Social Research Council (ESRC).
A portion of this project includes reanalysing WCED CEMIS and Systemic Tests to determine how early learning performance affects progressions, dropout, and matric results. The project is currently in its second year and is funded by the Allan Grey Orbis Foundation Endowment.
Using longitudinal data components and disability statistics, this project aims to investigate school-based assessments. Funds have been received from the Michael and Susan Dell Foundation. The project is currently waiting for data.
The data from Wave 1 of NIDS-CRAM showed that women were disproportionately affected by the COVID-19 crisis and the first month of the lockdown period in South Africa. Not only were they much more likely than men to lose their jobs between February and April or to work fewer hours compared to the pre-crisis period, they also took on a greater share of the additional childcare as a result of school closures and the suspension of all childcare services.
A report stemming from NIDS-CRAM wave 1, a project consisting of work by a national consortium of 30 social science researchers from five South African universities. The consortium will conduct the National Income Dynamics Study (NIDS) Coronavirus Rapid Mobile Survey (CRAM) over the course of May – December 2020. The NIDS-CRAM project exists to collect, analyze and disseminate data on a broadly representative sample of South African individuals, and to report on their employment and welfare in light of the COVID-19 pandemic.
A report stemming from NIDS-CRAM wave 1, a project consisting of work by a national consortium of 30 social science researchers from five South African universities. The consortium will conduct the National Income Dynamics Study (NIDS) Coronavirus Rapid Mobile Survey (CRAM) over the course of May – December 2020. The NIDS-CRAM project exists to collect, analyze and disseminate data on a broadly representative sample of South African individuals, and to report on their employment and welfare in light of the COVID-19 pandemic.
This brief replicates UNESCO’s calculations, to determine whether South African teachers’ wages are comparable with those in Denmark. The level of teacher wages so determined was only USD71, which is similar to Japan and Italy, but even this seems unrealistically high. UNESCO uses purchasing power parity (PPP) exchange rates for converting teacher pay across countries to dollars – this is where the problem might be. As an alternative strategy to assess the adequacy of teacher pay in international comparison, we use teacher household assets instead of compensation as a proxy for teacher living standards. This results in findings which are considered to be plausible, as South Africa is then comparable with developing countries such as Botswana, Malaysia and Philippines.
A report stemming from NIDS-CRAM wave 1, a project consisting of work by a national consortium of 30 social science researchers from five South African universities. The consortium will conduct the National Income Dynamics Study (NIDS) Coronavirus Rapid Mobile Survey (CRAM) over the course of May – December 2020. The NIDS-CRAM project exists to collect, analyze and disseminate data on a broadly representative sample of South African individuals, and to report on their employment and welfare in light of the COVID-19 pandemic.
The overview and findings of NIDS-CRAM wave 1, consisting of work by a national consortium of 30 social science researchers from five South African universities. The consortium will conduct the National Income Dynamics Study (NIDS) Coronavirus Rapid Mobile Survey (CRAM) over the course of May – December 2020. The NIDS-CRAM project exists to collect, analyze and disseminate data on a broadly representative sample of South African individuals, and to report on their employment and welfare in light of the COVID-19 pandemic.
International research has shown that the quality of school leadership and management (SLM) is important for teaching and learning, particularly in schools where there is acute resource deprivation.
This paper describes the partial return to school that occurred during June and July, drawing mainly on the second wave of the NIDSCRAM survey. To what extent was there alignment between the grades that were gazetted to return in June and July and actual school attendance rates by children across the grades? How worried were parents and guardians about sending their children back to school and how did this vary across society?
The first wave of the National Income Dynamics Study – Coronavirus Rapid Mobile Survey (NIDSCRAM) provided strong evidence that there had been a drastic increase in both adult and child hunger in the survey months, May and June 2020, and that almost half of all households had on occasion run out of money for food during April 2020.
This paper considers how access to public sector healthcare in South Africa have been affected by the COVID-19 pandemic using three sources of evidence: the NIDS-CRAM (Coronavirus Rapid Mobile Survey) and MatCH (Maternal and Child Health) SMS survey together with routine health care utilisation data from the District Health Information System (DHIS).
It is said that Women’s Month is a celebration of women’s achievements and the important (and often under-recognised) role that they play in South African…
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