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Offers essential guidance for those who evaluate educational policies.
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Richard J. Murnane, Juliana W. and William Foss Thompson Professor of Education and Society at Harvard University, is an economist who focuses his research on the relationships between education and the economy, teacher labor markets, the determinants of children's achievement, and strategies for making schools more effective.
John B. Willett, Charles William Eliot Professor of Education at Harvard University, is a quantitative methodologist who has devoted his career to improving the research design and data-analytic methods used in education and the social sciences, with a particular emphasis on the design of longitudinal research and the analysis of longitudinal data .„Über diesen Titel“ kann sich auf eine andere Ausgabe dieses Titels beziehen.
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Methods Matter: Improving Causal Inference in Educational and Social Science Research
Verlag:
Oxford University Press Inc, 2010
ISBN 10: 0199753865
ISBN 13: 9780199753864
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Hardback. Zustand: Good. Educational policy-makers around the world constantly make decisions about how to use scarce resources to improve the education of children. Unfortunately, their decisions are rarely informed by evidence on the consequences of these initiatives in other settings. Nor are decisions typically accompanied by well-formulated plans to evaluate their causal impacts. As a result, knowledge about what works in different situations has been very slow to accumulate. Over the last several decades, advances in research methodology, administrative record keeping, and statistical software have dramatically increased the potential for researchers to conduct compelling evaluations of the causal impacts of educational interventions, and the number of well-designed studies is growing. Written in clear, concise prose, Methods Matter: Improving Causal Inference in Educational and Social Science Research offers essential guidance for those who evaluate educational policies. Using numerous examples of high-quality studies that have evaluated the causal impacts of important educational interventions, the authors go beyond the simple presentation of new analytical methods to discuss the controversies surrounding each study, and provide heuristic explanations that are also broadly accessible. Murnane and Willett offer strong methodological insights on causal inference, while also examining the consequences of a wide variety of educational policies implemented in the U.S. and abroad. Representing a unique contribution to the literature surrounding educational research, this landmark text will be invaluable for students and researchers in education and public policy, as well as those interested in social science. Artikel-Nr. CIN0199753865G
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Methods Matter: Improving Causal Inference in Educational and Social Science Research
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Oxford University Press, 2010
ISBN 10: 0199753865
ISBN 13: 9780199753864
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Zustand: Good. Your purchase helps support Sri Lankan Children's Charity 'The Rainbow Centre'. Shows some signs of wear but in good overall condition. Our donations to The Rainbow Centre have helped provide an education and a safe haven to hundreds of children who live in appalling conditions. Artikel-Nr. Z1-C-083-02908
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Methods Matter
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Methods Matter: Improving Causal Inference in Educational and Social Science Research
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Hardcover. Zustand: Brand New. 1st edition. 416 pages. 9.25x6.50x1.00 inches. In Stock. Artikel-Nr. __0199753865
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Methods Matter
Verlag:
OXFORD UNIVERSITY PRESS ACADEM Sep 2010, 2010
ISBN 10: 0199753865
ISBN 13: 9780199753864
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Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
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Buch. Zustand: Neu. Neuware - Written in clear, concise prose, Methods Matter: Improving Causal Inference in Educational and Social Science Research offers essential guidance for those who evaluate educational policies. Using numerous examples of high-quality studies that have evaluated the causal impacts of important educational interventions, the authors go beyond the simple presentation of new analytical methods to discuss the controversies surrounding each study, and provideheuristic explanations that are also broadly accessible. Artikel-Nr. 9780199753864
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