[PDF] Causality In A Social World eBook

Author : Guanglei Hong
Publisher : John Wiley & Sons
Page : 443 pages
File Size : 45,8 MB
Release : 2015-06-09
Category : Mathematics
ISBN : 1119030609

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Causality in a Social World introduces innovative new statistical research and strategies for investigating moderated intervention effects, mediated intervention effects, and spill-over effects using experimental or quasi-experimental data. The book uses potential outcomes to define causal effects, explains and evaluates identification assumptions using application examples, and compares innovative statistical strategies with conventional analysis methods. Whilst highlighting the crucial role of good research design and the evaluation of assumptions required for identifying causal effects in the context of each application, the author demonstrates that improved statistical procedures will greatly enhance the empirical study of causal relationship theory. Applications focus on interventions designed to improve outcomes for participants who are embedded in social settings, including families, classrooms, schools, neighbourhoods, and workplaces.

Author : Guanglei Hong
Publisher : John Wiley & Sons
Page : 443 pages
File Size : 24,10 MB
Release : 2015-08-17
Category : Mathematics
ISBN : 1118332563

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Causality in a Social World introduces innovative new statistical research and strategies for investigating moderated intervention effects, mediated intervention effects, and spill-over effects using experimental or quasi-experimental data. The book uses potential outcomes to define causal effects, explains and evaluates identification assumptions using application examples, and compares innovative statistical strategies with conventional analysis methods. Whilst highlighting the crucial role of good research design and the evaluation of assumptions required for identifying causal effects in the context of each application, the author demonstrates that improved statistical procedures will greatly enhance the empirical study of causal relationship theory. Applications focus on interventions designed to improve outcomes for participants who are embedded in social settings, including families, classrooms, schools, neighbourhoods, and workplaces.

Author : Scott Cunningham
Publisher : Yale University Press
Page : 585 pages
File Size : 35,48 MB
Release : 2021-01-26
Category : Business & Economics
ISBN : 0300255888

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An accessible, contemporary introduction to the methods for determining cause and effect in the Social Sciences “Causation versus correlation has been the basis of arguments—economic and otherwise—since the beginning of time. Causal Inference: The Mixtape uses legit real-world examples that I found genuinely thought-provoking. It’s rare that a book prompts readers to expand their outlook; this one did for me.”—Marvin Young (Young MC) Causal inference encompasses the tools that allow social scientists to determine what causes what. In a messy world, causal inference is what helps establish the causes and effects of the actions being studied—for example, the impact (or lack thereof) of increases in the minimum wage on employment, the effects of early childhood education on incarceration later in life, or the influence on economic growth of introducing malaria nets in developing regions. Scott Cunningham introduces students and practitioners to the methods necessary to arrive at meaningful answers to the questions of causation, using a range of modeling techniques and coding instructions for both the R and the Stata programming languages.

Author : Joseph Y. Halpern
Publisher : MIT Press
Page : 240 pages
File Size : 35,60 MB
Release : 2016-08-12
Category : Computers
ISBN : 0262035022

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Explores actual causality, and such related notions as degree of responsibility, degree of blame, and causal explanation. The goal is to arrive at a definition of causality that matches our natural language usage and is helpful, for example, to a jury deciding a legal case, a programmer looking for the line of code that cause some software to fail, or an economist trying to determine whether austerity caused a subsequent depression.

Author : Judea Pearl
Publisher : Basic Books
Page : 432 pages
File Size : 47,15 MB
Release : 2018-05-15
Category : Computers
ISBN : 0465097618

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A Turing Award-winning computer scientist and statistician shows how understanding causality has revolutionized science and will revolutionize artificial intelligence "Correlation is not causation." This mantra, chanted by scientists for more than a century, has led to a virtual prohibition on causal talk. Today, that taboo is dead. The causal revolution, instigated by Judea Pearl and his colleagues, has cut through a century of confusion and established causality -- the study of cause and effect -- on a firm scientific basis. His work explains how we can know easy things, like whether it was rain or a sprinkler that made a sidewalk wet; and how to answer hard questions, like whether a drug cured an illness. Pearl's work enables us to know not just whether one thing causes another: it lets us explore the world that is and the worlds that could have been. It shows us the essence of human thought and key to artificial intelligence. Anyone who wants to understand either needs The Book of Why.

Author : Roberto Poli
Publisher : Walter de Gruyter
Page : 197 pages
File Size : 27,31 MB
Release : 2013-05-02
Category : Philosophy
ISBN : 3110329573

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The belief is widely held that the physical world is causally-driven. The world is one because a tangled web of causally-driven processes keeps it together. However, both the psychological and the social worlds cannot be articulated in causal terms only. Hereby, “motivation” is used as the most general term referring to whatever keeps (synchronically) together and provides (diachronic) reasons explaining the behavior of psychological and social systems. In order to systematically address these problems, a categorical framework is needed for understanding the various types of realities populating the world and their multifarious interrelations. The papers collected in this volume dig into some of the intricacies presented by these problems. The papers here presented have been selected from those presented at the workshops bearing the very same name, “Causality and Motivation” organized in Bolzano and Rome.

Author : Steven Sloman
Publisher : Oxford University Press
Page : 226 pages
File Size : 42,79 MB
Release : 2005-07-28
Category : Psychology
ISBN : 0198040377

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Human beings are active agents who can think. To understand how thought serves action requires understanding how people conceive of the relation between cause and effect, between action and outcome. In cognitive terms, how do people construct and reason with the causal models we use to represent our world? A revolution is occurring in how statisticians, philosophers, and computer scientists answer this question. Those fields have ushered in new insights about causal models by thinking about how to represent causal structure mathematically, in a framework that uses graphs and probability theory to develop what are called causal Bayesian networks. The framework starts with the idea that the purpose of causal structure is to understand and predict the effects of intervention. How does intervening on one thing affect other things? This is not a question merely about probability (or logic), but about action. The framework offers a new understanding of mind: Thought is about the effects of intervention and cognition is thus intimately tied to actions that take place either in the actual physical world or in imagination, in counterfactual worlds. The book offers a conceptual introduction to the key mathematical ideas, presenting them in a non-technical way, focusing on the intuitions rather than the theorems. It tries to show why the ideas are important to understanding how people explain things and why thinking not only about the world as it is but the world as it could be is so central to human action. The book reviews the role of causality, causal models, and intervention in the basic human cognitive functions: decision making, reasoning, judgment, categorization, inductive inference, language, and learning. In short, the book offers a discussion about how people think, talk, learn, and explain things in causal terms, in terms of action and manipulation.

Author : Judea Pearl
Publisher : Cambridge University Press
Page : 487 pages
File Size : 42,52 MB
Release : 2009-09-14
Category : Computers
ISBN : 052189560X

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Causality offers the first comprehensive coverage of causal analysis in many sciences, including recent advances using graphical methods. Pearl presents a unified account of the probabilistic, manipulative, counterfactual and structural approaches to causation, and devises simple mathematical tools for analyzing the relationships between causal connections, statistical associations, actions and observations. The book will open the way for including causal analysis in the standard curriculum of statistics, artificial intelligence ...

Author : Giorgos Tsiolis
Publisher : Routledge
Page : 130 pages
File Size : 31,27 MB
Release : 2020-11-09
Category : Social Science
ISBN : 1000260739

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This book extends debates in the field of biographical research, arguing that causal explanations are not at odds with biographical research and that biographical research is in fact a valuable tool for explaining why things in social and personal lives are one way and not another. Bringing reconstructive biographical research into dialogue with critical realism, it explains how and why relational social ontology can become a unique theoretical ground for tapping emergent mechanisms and latent meaning structures. Through an account of the reasons for which reductionist epistemologies, rational action models and covering law explanations are not appropriate for biographical research, the authors develop the philosophical idea of singular causation as a means by which biographical researchers are able to forge causal hypotheses for the occurrence of events and offer guidance on the application of this methodological principle to concrete, empirical examples. As such, this volume will appeal to scholars across the social sciences with interests in biographical research and social research methods.