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6 result(s) for "Educational indicators-Data processing"
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Quantitative and Statistical Data in Education
This book presents different data collection and representation techniques: elementary descriptive statistics, confirmatory statistics, multivariate approaches and statistical modeling. It exposes the possibility of giving more robustness to the classical methodologies of education sciences by adding a quantitative approach. The fundamentals of each approach and the reasons behind them are methodically analyzed, and both simple and advanced examples are given to demonstrate how to use them. Subsequently, this book can be used both as a course for the uninitiated and as an accompaniment for researchers who are already familiar with these concepts.
Data for Learning
Data are a crucial ingredient in any successful education system, but building and sustaining a data system are challenging tasks. Many countries around the world have spent significant resources but still struggle to accomplish a functioning Education Management Information System (EMIS). On the other hand, countries that have created successful systems are harnessing the power of data to improve education outcomes. Increasingly, EMISs are moving away from using data narrowly for counting students and schools. Instead, they use data to drive system-wide innovations, accountability, professionalization, and, most important, quality and learning. This broader use of data also benefits classroom instruction and support at schools. An effective data system ensures that education cycles, from preschool to tertiary, are aligned and that the education system is monitored so it can achieve its ultimate goal-- producing graduates able to successfully transition into the labor market and contribute to the overall national economy. This publication sheds light on challenges in building a data system and provide actionable direction on how to navigate the complex issues associated with education data for better learning outcomes and beyond. It details the key ingredients of successful data systems, including tangible examples, common pitfalls, and good practices. It is a resource for policy makers working to craft the vision and strategic road map of an EMIS, as well as a handbook to assist teams and decision makers in avoiding common mistakes.
Making work pay in Madagascar : employment, growth, and poverty reduction
Poor people derive most of their income from work; however, there is insufficient understanding of the role of employment and earnings as a linkage between growth and poverty reduction, especially in low income countries. With the objective of providing inputs into the policy discussion on how to enhance poverty reduction through increased employment and earnings for given growth levels, this study explores this linkage in the case of Madagascar using data from the national accounts and household surveys from the years 1999, 2001, and 2005, a period characterized among others by a short but severe crisis which started at the end of 2001 and the subsequent economic rebound. This report is part of a series of studies conducted in the context of the World Bank’s research framework aiming to improve the understanding of the linkages among growth, labor, and poverty reduction.