Background
King, Gary was born on December 8, 1958 in New York, United States.
( While heated arguments between practitioners of qualita...)
While heated arguments between practitioners of qualitative and quantitative research have begun to test the very integrity of the social sciences, Gary King, Robert Keohane, and Sidney Verba have produced a farsighted and timely book that promises to sharpen and strengthen a wide range of research performed in this field. These leading scholars, each representing diverse academic traditions, have developed a unified approach to valid descriptive and causal inference in qualitative research, where numerical measurement is either impossible or undesirable. Their book demonstrates that the same logic of inference underlies both good quantitative and good qualitative research designs, and their approach applies equally to each. Providing precepts intended to stimulate and discipline thought, the authors explore issues related to framing research questions, measuring the accuracy of data and uncertainty of empirical inferences, discovering causal effects, and generally improving qualitative research. Among the specific topics they address are interpretation and inference, comparative case studies, constructing causal theories, dependent and explanatory variables, the limits of random selection, selection bias, and errors in measurement. Mathematical notation is occasionally used to clarify concepts, but no prior knowledge of mathematics or statistics is assumed. The unified logic of inference that this book explicates will be enormously useful to qualitative researchers of all traditions and substantive fields.
http://www.amazon.com/gp/product/0691034710/?tag=2022091-20
( Demographic Forecasting introduces new statistical too...)
Demographic Forecasting introduces new statistical tools that can greatly improve forecasts of population death rates. Mortality forecasting is used in a wide variety of academic fields, and for policymaking in global health, social security and retirement planning, and other areas. Federico Girosi and Gary King provide an innovative framework for forecasting age-sex-country-cause-specific variables that makes it possible to incorporate more information than standard approaches. These new methods more generally make it possible to include different explanatory variables in a time-series regression for each cross section while still borrowing strength from one regression to improve the estimation of all. The authors show that many existing Bayesian models with explanatory variables use prior densities that incorrectly formalize prior knowledge, and they show how to avoid these problems. They also explain how to incorporate a great deal of demographic knowledge into models with many fewer adjustable parameters than classic Bayesian approaches, and develop models with Bayesian priors in the presence of partial prior ignorance. By showing how to include more information in statistical models, Demographic Forecasting carries broad statistical implications for social scientists, statisticians, demographers, public-health experts, policymakers, and industry analysts. • Introduces methods to improve forecasts of mortality rates and similar variables • Provides innovative tools for more effective statistical modeling • Makes available free open-source software and replication data • Includes full-color graphics, a complete glossary of symbols, a self-contained math refresher, and more
http://www.amazon.com/gp/product/0691130957/?tag=2022091-20
( One of the hallmarks of the development of political sc...)
One of the hallmarks of the development of political science as a discipline has been the creation of new methodologies by scholars within the discipline--methodologies that are well-suited to the analysis of political data. Gary King has been a leader in the development of these new approaches to the analysis of political data. In his book, Unifying Political Methodology, King shows how the likelihood theory of inference offers a unified approach to statistical modeling for political research and thus enables us to better analyze the enormous amount of data political scientists have collected over the years. Newly reissued, this book is a landmark in the development of political methodology and continues to challenge scholars and spark controversy. "Gary King's Unifying Political Methodology is at once an introduction to the likelihood theory of statistical inference and an evangelist's call for us to change our ways of doing political methodology. One need not accept the altar call to benefit enormously from the book, but the intellectual debate over the call for reformation is likely to be the enduring contribution of the work." --Charles Franklin, American Political Science Review "King's book is one of the only existing books which deal with political methodology in a clear and consistent framework. The material in it is now and will continue to be essential reading for all serious students and researchers in political methodology." --R. Michael Alvarez, California Institute of Tech-nology Gary King is Professor of Government, Harvard University. One of the leading thinkers in political methodology, he is the author of A Solution to the Ecological Inference Problem: Reconstructing Individual Behavior from Aggregate Data and other books and articles.
http://www.amazon.com/gp/product/0472085549/?tag=2022091-20
( This book provides a solution to the ecological inferen...)
This book provides a solution to the ecological inference problem, which has plagued users of statistical methods for over seventy-five years: How can researchers reliably infer individual-level behavior from aggregate (ecological) data? In political science, this question arises when individual-level surveys are unavailable (for instance, local or comparative electoral politics), unreliable (racial politics), insufficient (political geography), or infeasible (political history). This ecological inference problem also confronts researchers in numerous areas of major significance in public policy, and other academic disciplines, ranging from epidemiology and marketing to sociology and quantitative history. Although many have attempted to make such cross-level inferences, scholars agree that all existing methods yield very inaccurate conclusions about the world. In this volume, Gary King lays out a unique--and reliable--solution to this venerable problem. King begins with a qualitative overview, readable even by those without a statistical background. He then unifies the apparently diverse findings in the methodological literature, so that only one aggregation problem remains to be solved. He then presents his solution, as well as empirical evaluations of the solution that include over 16,000 comparisons of his estimates from real aggregate data to the known individual-level answer. The method works in practice. King's solution to the ecological inference problem will enable empirical researchers to investigate substantive questions that have heretofore proved unanswerable, and move forward fields of inquiry in which progress has been stifled by this problem.
http://www.amazon.com/gp/product/0691012407/?tag=2022091-20
King, Gary was born on December 8, 1958 in New York, United States.
In 1980, King graduated summa cum laude with a Bachelor of Arts in Political Science from the State University of New York at New Paltz. And in 1984 a Doctor of Philosophy in Political Science at the University of Wisconsin–Madison in Madison.
He is the Albert J. Weatherhead III University Professor and Director for the Institute for Quantitative Social Science at Harvard University. King and his research group develop and apply empirical methods in many areas of social science research, focusing on innovations that span the range from statistical theory to practical application. In 1981 he earned an Master of Arts King"s career in academia began in 1984, when he became an Assistant Professor in the Department of Politics at New York University.
He joined the faculty of Harvard"s Department of Government in 1987 and has taught there since.
He has also been a visiting fellow at Oxford University. To date, he has authored or coauthored seven books (six published and one forthcoming) and nearly 100 journal articles and book chapters.
He is the step-brother of the sociologist Mitchell Duneier. King has co-founded data analytics companies, including Crimson Hexagon and Learning Catalytics.
Crimson Hexagon is a social media analytics software company based in Boston, Massachusetts.
Learning Catalytics was acquired by Pearson in April 2013.
( This book provides a solution to the ecological inferen...)
( While heated arguments between practitioners of qualita...)
( One of the hallmarks of the development of political sc...)
( Demographic Forecasting introduces new statistical too...)
(Methods in design of social inquiry. Research methods. Qu...)
Fellow American Association for the Advancement of Science, American Academy Political and Social Science, Society Political Methodology (vice president 1995-1997, president 1997-1999), American Association the Advancement of Science. Member National Academy of Sciences, American Political Science Association (steering committee 1989-1993, member Richard F. Fenno Junior prize committee, legislation studies section 1990, co-chair program committee political methodology section, organized section head annual meeting 1990, vice president 2003-2004, Research Software award 1992).