Download or read book Time and Causality Across the Sciences written by Samantha Kleinberg and published by Cambridge University Press. This book was released on 2019-09-26 with total page 273 pages. Available in PDF, EPUB and Kindle. Book excerpt: Explores the critical role time plays in our understanding of causality, across psychology, biology, physics and the social sciences.
Download or read book Time and Causality in the Social Sciences written by Guillaume Wunsch and published by . This book was released on 2020 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: This article deals with the role of time in causal models in the social sciences, in particular in structural causal modeling, in contrast to time-free models. The aim is to underline the importance of time-sensitive causal models. For this purpose, it also refers to the important discussion on time and causality in the philosophy of science, and examines how time is taken into account in demography and in economics as examples of social sciences. Temporal information is useful to the extent that it is placed in a correct causal structure, and thus further corroborating the causal mechanism or generative process explaining the phenomenon under consideration. Despite the fact that the causal ordering of variables is more relevant for explanatory purposes than the temporal order, the former should nevertheless take into account the time-patterns of causes and effects, as these are often episodes rather than single events. For this reason in particular, it is time to put time at the core of our causal models.
Download or read book Causality and Causal Modelling in the Social Sciences written by Federica Russo and published by Springer Science & Business Media. This book was released on 2008-09-18 with total page 236 pages. Available in PDF, EPUB and Kindle. Book excerpt: This investigation into causal modelling presents the rationale of causality, i.e. the notion that guides causal reasoning in causal modelling. It is argued that causal models are regimented by a rationale of variation, nor of regularity neither invariance, thus breaking down the dominant Human paradigm. The notion of variation is shown to be embedded in the scheme of reasoning behind various causal models. It is also shown to be latent – yet fundamental – in many philosophical accounts. Moreover, it has significant consequences for methodological issues: the warranty of the causal interpretation of causal models, the levels of causation, the characterisation of mechanisms, and the interpretation of probability. This book offers a novel philosophical and methodological approach to causal reasoning in causal modelling and provides the reader with the tools to be up to date about various issues causality rises in social science.
Download or read book Designing Research in the Social Sciences written by Martino Maggetti and published by SAGE. This book was released on 2012-12-18 with total page 202 pages. Available in PDF, EPUB and Kindle. Book excerpt: This innovative research design text will help you make informed choices when carrying out your research project. Covering both qualitative and quantitative approaches, and with examples drawn from a wide range of social science disciplines, the authors explain what is at stake when choosing a research design, and discuss the trade-offs that researchers have to make when considering issues such as: - causality - categories and classification - heterogeneity - interdependence - time This book will appeal to students and researchers looking for an in-depth understanding of research design issues to help them design their projects in a thoughtful and responsible way.
Download or read book Causality in Sociological Research written by Jakub Karpinski and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 191 pages. Available in PDF, EPUB and Kindle. Book excerpt: The general treatment of problems connected with the causal conditioning of phenomena has traditionally been the domain of philosophy, but when one examines the relationships taking place in the various fields, the study of such conditionings belongs to the empirical sciences. Sociology is no exception in that respect. In that discipline we note a certain paradox. Many problems connected with the causal conditioning of phenomena have been raised in sociology in relatively recent times, and that process marked its empirical or even so-called empiricist trend. That trend, labelled positivist, seems in this case to be in contradiction with a certain type of positivism. Those authors who describe positivism usually include the Humean tradition in its genealogy and, remembering Hume's criticism of the concept of cause, speak about positivism as about a trend which is inclined to treat lightly the study of causes and confines itself to the statements on co-occurrence of phenomena.
Download or read book Causal Inference written by Scott Cunningham and published by Yale University Press. This book was released on 2021-01-26 with total page 585 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book Cause and Meaning in the Social Sciences written by Ernest Gellner and published by Psychology Press. This book was released on 2003 with total page 243 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume focuses on key conceptual issues in the social sciences, such as Winch's idea of a social science, structuralism, Malinowski and Evans-Pritchard, and the concept of kinship. In particular it deals with such problems as the relationship of nature and culture, the relevance of concepts drawn from within a given society to its understanding, and the relation of theory to time.
Download or read book Causality in Economics written by Sir John Richard Hicks and published by . This book was released on 1979 with total page 124 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Time Causality and the Quantum Theory written by Henry Mehlberg and published by Springer Science & Business Media. This book was released on 1980 with total page 338 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Time Causality and the Quantum Theory written by S. Mehlberg and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 368 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Quantitative Social Science written by Kosuke Imai and published by Princeton University Press. This book was released on 2021-03-16 with total page 464 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Princeton University Press published Imai's textbook, Quantitative Social Science: An Introduction, an introduction to quantitative methods and data science for upper level undergrads and graduates in professional programs, in February 2017. What is distinct about the book is how it leads students through a series of applied examples of statistical methods, drawing on real examples from social science research. The original book was prepared with the statistical software R, which is freely available online and has gained in popularity in recent years. But many existing courses in statistics and data sciences, particularly in some subject areas like sociology and law, use STATA, another general purpose package that has been the market leader since the 1980s. We've had several requests for STATA versions of the text as many programs use it by default. This is a "translation" of the original text, keeping all the current pedagogical text but inserting the necessary code and outputs from STATA in their place"--
Download or read book The Fundamentals of Political Science Research written by Paul M. Kellstedt and published by Cambridge University Press. This book was released on 2009 with total page 293 pages. Available in PDF, EPUB and Kindle. Book excerpt: This textbook introduces the scientific study of politics, supplying students with the basic tools to be critical consumers and producers of scholarly research.
Download or read book The Logic of Causal Order written by James A. Davis and published by SAGE. This book was released on 1985-11 with total page 76 pages. Available in PDF, EPUB and Kindle. Book excerpt: Social scientists routinely draw conclusions about cause and effect from their data. This book spells out the pre-statistical assumptions of multivariate research and explains in nonmathematical terms: the concepts of causal direction and system order; direct, indirect, and spurious statistical effects; signs and the sign rule; rules for introducing control variables, elaboration and explanation, "effects analysis," and path analysis. The book is not statistical in the sense of developing specific statistical tools. Rather, it explains the prestatistical assumptions required, whatever the technique. The importance of substantive knowledge about the "real world" is stressed, and the myth that causal problems can be solved by statistical calculations alone is repeatedly challenged.
Download or read book Causality in a Social World written by Guanglei Hong and published by John Wiley & Sons. This book was released on 2015-06-09 with total page 443 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book Time and Causality across the Sciences written by Samantha Kleinberg and published by Cambridge University Press. This book was released on 2019-09-26 with total page 273 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book, geared toward academic researchers and graduate students, brings together research on all facets of how time and causality relate across the sciences. Time is fundamental to how we perceive and reason about causes. It lets us immediately rule out the sound of a car crash as its cause. That a cause happens before its effect has been a core, and often unquestioned, part of how we describe causality. Research across disciplines shows that the relationship is much more complex than that. This book explores what that means for both the metaphysics and epistemology of causes - what they are and how we can find them. Across psychology, biology, and the social sciences, common themes emerge, suggesting that time plays a critical role in our understanding. The increasing availability of large time series datasets allows us to ask new questions about causality, necessitating new methods for modeling dynamic systems and incorporating mechanistic information into causal models.
Download or read book Sociocultural Causality Space Time written by Pitirim Aleksandrovich Sorokin and published by . This book was released on 1964 with total page 264 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Designing Research in the Social Sciences written by Martino Maggetti and published by SAGE. This book was released on 2012-12-18 with total page 201 pages. Available in PDF, EPUB and Kindle. Book excerpt: This innovative research design text will help you make informed choices when carrying out your research project. Covering both qualitative and quantitative approaches, and with examples drawn from a wide range of social science disciplines, the authors explain what is at stake when choosing a research design, and discuss the trade-offs that researchers have to make when considering issues such as: - causality - categories and classification - heterogeneity - interdependence - time This book will appeal to students and researchers looking for an in-depth understanding of research design issues to help them design their projects in a thoughtful and responsible way.
