Search Results for "counterfactuals-and-causal-inference-methods-and-principles-for-social-research-analytical-methods-for-social-research"

Counterfactuals and Causal Inference

Counterfactuals and Causal Inference

Methods and Principles for Social Research

  • Author: Stephen L. Morgan,Christopher Winship
  • Publisher: Cambridge University Press
  • ISBN: 9781139465908
  • Category: Social Science
  • Page: N.A
  • View: 3980
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Did mandatory busing programs in the 1970s increase the school achievement of disadvantaged minority youth? Does obtaining a college degree increase an individual's labor market earnings? Did the use of the butterfly ballot in some Florida counties in the 2000 presidential election cost Al Gore votes? If so, was the number of miscast votes sufficiently large to have altered the election outcome? At their core, these types of questions are simple cause-and-effect questions. Simple cause-and-effect questions are the motivation for much empirical work in the social sciences. This book presents a model and set of methods for causal effect estimation that social scientists can use to address causal questions such as these. The essential features of the counterfactual model of causality for observational data analysis are presented with examples from sociology, political science, and economics.

Spatial Analysis for the Social Sciences

Spatial Analysis for the Social Sciences

  • Author: David Darmofal
  • Publisher: Cambridge University Press
  • ISBN: 0521888263
  • Category: Political Science
  • Page: 258
  • View: 7923
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This book shows how to model the spatial interactions between actors that are at the heart of the social sciences.

Marginal Models

Marginal Models

For Dependent, Clustered, and Longitudinal Categorical Data

  • Author: Wicher Bergsma,Marcel A. Croon,Jacques A. Hagenaars
  • Publisher: Springer Science & Business Media
  • ISBN: 0387096108
  • Category: Science
  • Page: 268
  • View: 2499
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Marginal Models for Dependent, Clustered, and Longitudinal Categorical Data provides a comprehensive overview of the basic principles of marginal modeling and offers a wide range of possible applications. Marginal models are often the best choice for answering important research questions when dependent observations are involved, as the many real world examples in this book show. In the social, behavioral, educational, economic, and biomedical sciences, data are often collected in ways that introduce dependencies in the observations to be compared. For example, the same respondents are interviewed at several occasions, several members of networks or groups are interviewed within the same survey, or, within families, both children and parents are investigated. Statistical methods that take the dependencies in the data into account must then be used, e.g., when observations at time one and time two are compared in longitudinal studies. At present, researchers almost automatically turn to multi-level models or to GEE estimation to deal with these dependencies. Despite the enormous potential and applicability of these recent developments, they require restrictive assumptions on the nature of the dependencies in the data. The marginal models of this book provide another way of dealing with these dependencies, without the need for such assumptions, and can be used to answer research questions directly at the intended marginal level. The maximum likelihood method, with its attractive statistical properties, is used for fitting the models. This book has mainly been written with applied researchers in mind. It includes many real world examples, explains the types of research questions for which marginal modeling is useful, and provides a detailed description of how to apply marginal models for a great diversity of research questions. All these examples are presented on the book's website (www.cmm.st), along with user friendly programs.

The Wages of Oil

The Wages of Oil

Parliaments and Economic Development in Kuwait and the UAE

  • Author: Michael Herb
  • Publisher: Cornell University Press
  • ISBN: 0801454689
  • Category: Political Science
  • Page: 256
  • View: 1978
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The contrast between Kuwait and the UAE today illustrates the vastly different possible futures facing the smaller states of the Gulf. Dubai's rulers dream of creating a truly global business center, a megalopolis of many millions attracting immigrants in great waves from near and far. Kuwait, meanwhile, has the most spirited and influential parliament in any of the oil-rich Gulf monarchies. In The Wages of Oil, Michael Herb provides a robust framework for thinking about the future of the Gulf monarchies. The Gulf has seen enormous changes in recent years, and more are to come. Herb explains the nature of the changes we are likely to see in the future. He starts by asking why Kuwait is far ahead of all other Gulf monarchies in terms of political liberalization, but behind all of them in its efforts to diversify its economy away from oil. He compares Kuwait with the United Arab Emirates, which lacks Kuwait's parliament but has moved ambitiously to diversify. This data-rich book reflects the importance of both politics and economic development issues for decision-makers in the Gulf. Herb develops a political economy of the Gulf that ties together a variety of issues usually treated separately: Kuwait's National Assembly, Dubai's real estate boom, the paucity of citizen labor in the private sector, class divisions among citizens, the caste divide between citizens and noncitizens, and the politics of land.

Handbook of Statistical Modeling for the Social and Behavioral Sciences

Handbook of Statistical Modeling for the Social and Behavioral Sciences

  • Author: G. Arminger,Clifford C. Clogg,M.E. Sobel
  • Publisher: Springer Science & Business Media
  • ISBN: 9780306448058
  • Category: Mathematics
  • Page: 592
  • View: 5304
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Contributors thoroughly survey the most important statistical models used in empirical reserch in the social and behavioral sciences. Following a common format, each chapter introduces a model, illustrates the types of problems and data for which the model is best used, provides numerous examples that draw upon familiar models or procedures, and includes material on software that can be used to estimate the models studied. This handbook will aid researchers, methodologists, graduate students, and statisticians to understand and resolve common modeling problems.

Seven rules for social research

Seven rules for social research

  • Author: Glenn Firebaugh
  • Publisher: Princeton University Press
  • ISBN: 9780691135670
  • Category: Social Science
  • Page: 257
  • View: 1478
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Seven Rules for Social Research teaches social scientists how to get the most out of their technical skills and tools, providing a resource that fully describes the strategies and concepts no researcher or student of human behavior can do without. Glenn Firebaugh provides indispensable practical guidance for anyone doing research in the social and health sciences today, whether they are undergraduate or graduate students embarking on their first major research projects or seasoned professionals seeking to incorporate new methods into their research. The rules are the basis for discussions of a broad range of issues, from choosing a research question to inferring causal relationships, and are illustrated with applications and case studies from sociology, economics, political science, and related fields. Though geared toward quantitative methods, the rules also work for qualitative research. Seven Rules for Social Research is ideal for students and researchers who want to take their technical skills to new levels of precision and insight, and for instructors who want a textbook for a second methods course. The Seven Rules There should be the possibility of surprise in social research. Look for differences that make a difference, and report them. Build reality checks into your research. Replicate where possible. Compare like with like. Use panel data to study individual change and repeated cross-section data to study social change. Let method be the servant, not the master.

Dissecting the Social

Dissecting the Social

On the Principles of Analytical Sociology

  • Author: Peter Hedstrom
  • Publisher: Cambridge University Press
  • ISBN: 9781139447331
  • Category: Social Science
  • Page: N.A
  • View: 8474
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Over the past few decades serious reservations have been expressed about the explanatory power of sociological theory and research. In this important book, leading social theorist Peter Hedström outlines the foundations of an analytically oriented sociology that seeks to address this criticism. Building on his earlier influential contributions to contemporary debates, Professor Hedström argues for a systematic development of sociological theory so that it has the explanatory power and precision to inform sociological research and understanding. He discusses various mechanisms of action and interaction and shows how strong links can be forged between the micro and the macro, and between theory and empirical research. Combining approaches to theory and methodology and using extensive examples to illustrate how they might be applied, this clear, concise and original book will appeal to a broad range of social scientists.

Estimating the Effects of Social Intervention

Estimating the Effects of Social Intervention

  • Author: Charles M. Judd,David A. Kenny
  • Publisher: CUP Archive
  • ISBN: 9780521297554
  • Category: Psychology
  • Page: 243
  • View: 6524
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Political Science Quarterly

Political Science Quarterly

  • Author: N.A
  • Publisher: N.A
  • ISBN: N.A
  • Category: Social sciences
  • Page: N.A
  • View: 8691
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Annual Meeting Program

Annual Meeting Program

  • Author: American Educational Research Association
  • Publisher: N.A
  • ISBN: N.A
  • Category: Education
  • Page: N.A
  • View: 1306
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