South Africa has done well to systematically expand its educational system and to lengthen the schooling experience of successive learner cohorts. But the quality of the output from the school system has been questioned. In seeking to identify the reasons for this, it is important to relate educational outputs (competencies, as measured for instance by examinations or standardised tests) to inputs. Determining the relative contributions of the inputs - of the school, the household and the individual learner - to educational outputs is not straightforward, particularly since very little educational production function analysis has been undertaken in South Africa. Until recently, no South African school data has incorporated test results, school characteristics and information on the household circumstances of individual learners necessary for this kind of analysis. However, the results from a survey of a sample of schools involved in the large-scale Quality Learning Project (QLP), funded by the Business Trust, have yielded such data. The QLP data set offers a new analytical opportunity to address the question: What are the effects of social and economic variables on educational outcomes in the QLP schools?
List of figures and tables Executive SummaryAcknowledgements1. Introduction2. Features of the Quality Learning Project3. Data preparation, statistical procedures and methodology4. Commentary on the findingsAppendicesReferences
Charles Simkins is the Helen Suzman Professor of Political Economy in the Department of Economics at the University of the Witwatersrand. He is a member of the South African Statistics Council, and a member of the Council of the South African Institute of Race Relations. He has written numerous books and articles. Andrew Paterson is Chief Research Specialist in the Research Programme on Human Resources Development in the HSRC. Prior to joining the HSRC, he held posts as Lecturer and Senior Lecturer at the Universities of the North West and Western Cape.
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