By Stephen L. Morgan (auth.), Stephen L. Morgan (eds.)
What constitutes a causal rationalization, and needs to an evidence be causal? What warrants a causal inference, in place of a descriptive regularity? What innovations can be found to discover whilst causal results are current, and while can those options be used to spot the relative significance of those results? What issues do the interactions of people create for those concepts? whilst can combined equipment of study be used to deepen causal bills? needs to causal claims comprise generative mechanisms, and the way potent are empirical equipment designed to find them? The Handbook of Causal research for Social Research tackles those questions with nineteen chapters from prime students in sociology, information, public healthiness, machine technology, and human improvement.
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This publication comprises lecture notes of a summer time institution named after the overdue Jacques Louis Lions. The summer season university was once designed to alert either Academia and to the expanding function of multidisciplinary equipment and instruments for the layout of complicated items in numerous components of socio-economic curiosity.
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Extra info for Handbook of Causal Analysis for Social Research
New York: Palgrave Macmillan. Fisher, R. A. (1935). The design of experiments. New York: Hafner. Freedman, D. A. (1987). As others see us: A case study in path analysis (with discussion). Journal of Educational Statistics, 12, 101–223. Gangl, M. (2010). Causal inference in sociological research. Annual Review of Sociology, 36, 21–47. Goldberger, A. S. (1972). Structural equation methods in the social sciences. Econometrica, 40, 979–1001. , & Sallaz, J. J. (2009). Pathways to meaning: A new approach to studying emotions at work.
The result is mess. We are left with both a vague sense that “everything causes everything else” and an anxious recognition that this revelation does little toward actually completing any research. Social life comprises a series of nested complex systems—individual human organisms embedded in families, networks, and workplaces—which in turn are all embedded in nations and eras. The central trick of social inquiry is figuring out how to make orderly, accurate statements about these systems in the face of their enormous complexity and our limited capacity both to measure and to intervene.
Many other advances and potential advances in causal analysis are outlined in subsequent chapters in this book in addition to those already mentioned. Harding and Seefeldt (Chap. 6, this volume) outline the utility of mixed methods approaches to causal analysis and argue for the potential utility of this approach for causal analysis. Brand and Thomas (Chap. 11, this volume) outline potential approaches for assessing heterogeneous treatment effects. Knight and Winship (Chap. 14, this volume) discuss an alternative to the experimental or quasi-experimental framework that focuses on establishing evidence for mechanisms that link cause and effect.