Causal Inferences In Nonexperimental Research
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Causal Inferences In Nonexperimental Research
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Author : Hubert M. Blalock Jr.
language : en
Publisher: UNC Press Books
Release Date : 2018-08-25
Causal Inferences In Nonexperimental Research written by Hubert M. Blalock Jr. and has been published by UNC Press Books this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-08-25 with Philosophy categories.
Taking an exploratory rather than a dogmatic approach to the problem, this book pulls together materials bearing on casual inference that are widely scattered in the philosophical, statistical, and social science literature. It is written in nonmathematical terms, and it is imaginative and sophisticated from both a theoretical and a statistical point of view. Originally published in 1964. A UNC Press Enduring Edition -- UNC Press Enduring Editions use the latest in digital technology to make available again books from our distinguished backlist that were previously out of print. These editions are published unaltered from the original, and are presented in affordable paperback formats, bringing readers both historical and cultural value.
Causal Inferences In Nonexperimental Research
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Author : Hubert M. Blalock
language : en
Publisher:
Release Date : 1964
Causal Inferences In Nonexperimental Research written by Hubert M. Blalock and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1964 with Causation categories.
Causal Inferences In Nonexperimental Research
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Author : Hubert M. Blalock
language : en
Publisher:
Release Date : 1975
Causal Inferences In Nonexperimental Research written by Hubert M. Blalock and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1975 with Social sciences categories.
Causal Inferences In Nonexperimental Research
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Author :
language : en
Publisher:
Release Date : 1972
Causal Inferences In Nonexperimental Research written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1972 with categories.
Causal Inferences In Nonexperimental Research
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Author : H. M. Blalock Junior
language : en
Publisher:
Release Date : 1972
Causal Inferences In Nonexperimental Research written by H. M. Blalock Junior and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1972 with categories.
Estimating Causal Effects
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Author : Barbara Schneider
language : en
Publisher:
Release Date : 2007
Estimating Causal Effects written by Barbara Schneider and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007 with Education categories.
Explains the value of quasi-experimental techniques that can be used to approximate randomized experiments. The goal is to describe the logic of causal inference for researchers and policymakers who are not necessarily trained in experimental and quasi-experimental designs and statistical techniques.
Methods Matter
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Author : Richard J. Murnane
language : en
Publisher: Oxford University Press
Release Date : 2010-09-15
Methods Matter written by Richard J. Murnane and has been published by Oxford University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-09-15 with Psychology categories.
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.
Causal Models In Experimental Designs
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Author : H. M. Blalock
language : en
Publisher: Routledge
Release Date : 2017-07-12
Causal Models In Experimental Designs written by H. M. Blalock and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-07-12 with Social Science categories.
This is a companion volume to Causal Models in the Social Sciences, the majority of articles concern panel designs involving repeated measurements while a smaller cluster involve discussions of how experimental designs may be improved by more explicit attention to causal models. All of the papers are concerned with complications that may occur in actual research designs- as compared with idealized ones that often become the basis of textbook discussions of design issues.
Time And Causality
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Author : Marc J. Buehner
language : en
Publisher: Frontiers E-books
Release Date : 2014-08-06
Time And Causality written by Marc J. Buehner and has been published by Frontiers E-books this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-08-06 with Causation categories.
The problem of how humans and other intelligent systems construct causal representations from non-causal perceptual evidence has occupied scholars in cognitive science for many decades. Most contemporary approaches agree with David Hume that patterns of covariation between two events of interest are the critical input to the causal induction engine, irrespective of whether this induction is believed to be grounded in the formation of associations (Shanks & Dickinson, 1987), rule-based evaluation (White, 2004), appraisal of causal powers (Cheng, 1997), or construction of Bayesian Causal Networks (Pearl, 2000). Recent research, however, has repeatedly demonstrated that an exclusive focus on covariation while neglecting contiguity (another of Hume’s cues) results in ecologically invalid models of causal inference. Temporal spacing, order, variability, predictability, and patterning all have profound influence on the type of causal representation that is constructed. The influence of time upon causal representations could be seen as a bottom-up constraint (though current bottom-up models cannot account for the full spectrum of effects). However, causal representations in turn also constrain the perception of time: Put simply, two causally related events appear closer in subjective time than two (equidistant) unrelated events. This reversal of Hume’s conjecture, referred to as Causal Binding (Buehner & Humphreys, 2009) is a top-down constraint, and suggests that our representations of time and causality are mutually influencing one another. At present, the theoretical implications of this phenomenon are not yet fully understood. Some accounts link it exclusively to human motor planning (appealing to mechanisms of cross-modal temporal adaptation, or forward learning models of motor control). However, recent demonstrations of causal binding in the absence of human action, and analogous binding effects in the visual spatial domain, challenge such accounts in favour of Bayesian Evidence Integration. This Research Topic reviews and further explores the nature of the mutual influence between time and causality, how causal knowledge is constructed in the context of time, and how it in turn shapes and alters our perception of time. We draw together literatures from the perception and cognitive science, as well as experimental and theoretical papers. Contributions investigate the neural bases of binding and causal learning/perception, methodological advances, and functional implications of causal learning and perception in real time.
Case Studies And Causal Inference
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Author : I. Rohlfing
language : en
Publisher: Springer
Release Date : 2012-09-26
Case Studies And Causal Inference written by I. Rohlfing and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-09-26 with Political Science categories.
A discussion of the case study method which develops an integrative framework for causal inference in small-n research. This framework is applied to research design tasks such as case selection and process tracing. The book presents the basics, state-of-the-art and arguments for improving the case study method and empirical small-n research.