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Titlebook: Handbook of Causal Analysis for Social Research; Stephen L. Morgan Book 2013 Springer Science+Business Media Dordrecht 2013 Causal Analysi

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书目名称Handbook of Causal Analysis for Social Research
编辑Stephen L. Morgan
视频video
概述Addresses the main debates in the methodology of social inquiry.Offers overview material on causal inference and covers many central issues in the identification of systems of causal relationships.Bri
丛书名称Handbooks of Sociology and Social Research
图书封面Titlebook: Handbook of Causal Analysis for Social Research;  Stephen L. Morgan Book 2013 Springer Science+Business Media Dordrecht 2013 Causal Analysi
描述.What constitutes a causal explanation, and must an explanation be causal? What warrants a causal inference, as opposed to a descriptive regularity? What techniques are available to detect when causal effects are present, and when can these techniques be used to identify the relative importance of these effects? What complications do the interactions of individuals create for these techniques? When can mixed methods of analysis be used to deepen causal accounts? Must causal claims include generative mechanisms, and how effective are empirical methods designed to discover them? The .Handbook of Causal Analysis for Social Research. tackles these questions with nineteen chapters from leading scholars in sociology, statistics, public health, computer science, and human development.   .
出版日期Book 2013
关键词Causal Analysis in the Social Sciences; Causal inference; Causality and Structural Equation Models; Cau
版次1
doihttps://doi.org/10.1007/978-94-007-6094-3
isbn_softcover978-94-017-9407-7
isbn_ebook978-94-007-6094-3Series ISSN 1389-6903 Series E-ISSN 2542-839X
issn_series 1389-6903
copyrightSpringer Science+Business Media Dordrecht 2013
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Mixed Methods and Causal Analysising core challenges in causal inference. We discuss ways in which the addition of a qualitative component can serve multiple roles in causal analyses, including understanding treatment definition, concept measurement, selection into treatment, causal effect mechanisms, and effect heterogeneity. We a
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