This book is a collection of articles and essays by Professor Herbert C. Kelman, a leading figure in the conflict resolution community and one of the most influential peace researchers. Professor Kelman, a social psychologist, has been a pioneer of conflict resolution and peace research, and his work in conflict resolution has included a decades-long action research program on the Arab-Israeli conflict which has seen the development of Interactive Problem-Solving Workshops, an approach which has had a deep impact not only on research, but also on the practice of conflict resolution around the world, and especially in the Middle East. Focusing on Kelman’s conflict resolution-related work, this volume comprises an important collection of articles written by Kelman across his career as academic and practitioner. By bringing together these carefully selected articles the book offers a concise overview of the body of Kelman’s work and his intellectual biography. It traces the origins of the field of conflict resolution, the development of the study and practice of Interactive Problem Solving Workshops, and the wider challenges faced by conflict resolution research and practice. This book will be of much interest to students of peace and conflict studies, conflict resolution, psychology and IR in general.
In 1939, George Gallup's American Institute of Public Opinion published a pamphlet optimistically titled The New Science of Public Opinion Measurement. At the time, though, survey research was in its infancy, and only now, six decades later, can public opinion measurement be appropriately called a science, based in part on the development of the total survey error approach. Herbert F. Weisberg's handbook presents a unified method for conducting good survey research centered on the various types of errors that can occur in surveys—from measurement and nonresponse error to coverage and sampling error. Each chapter is built on theoretical elements drawn from specific disciplines, such as social psychology and statistics, and follows through with detailed treatments of the specific types of error and their potential solutions. Throughout, Weisberg is attentive to survey constraints, including time and ethical considerations, as well as controversies within the field and the effects of new technology on the survey process—from Internet surveys to those completed by phone, by mail, and in person. Practitioners and students will find this comprehensive guide particularly useful now that survey research has assumed a primary place in both public and academic circles.
A one-of-a-kind resource on identifying and dealing with bias in statistical research on causal effects Do cell phones cause cancer? Can a new curriculum increase student achievement? Determining what the real causes of such problems are, and how powerful their effects may be, are central issues in research across various fields of study. Some researchers are highly skeptical of drawing causal conclusions except in tightly controlled randomized experiments, while others discount the threats posed by different sources of bias, even in less rigorous observational studies. Bias and Causation presents a complete treatment of the subject, organizing and clarifying the diverse types of biases into a conceptual framework. The book treats various sources of bias in comparative studies—both randomized and observational—and offers guidance on how they should be addressed by researchers. Utilizing a relatively simple mathematical approach, the author develops a theory of bias that outlines the essential nature of the problem and identifies the various sources of bias that are encountered in modern research. The book begins with an introduction to the study of causal inference and the related concepts and terminology. Next, an overview is provided of the methodological issues at the core of the difficulties posed by bias. Subsequent chapters explain the concepts of selection bias, confounding, intermediate causal factors, and information bias along with the distortion of a causal effect that can result when the exposure and/or the outcome is measured with error. The book concludes with a new classification of twenty general sources of bias and practical advice on how mathematical modeling and expert judgment can be combined to achieve the most credible causal conclusions. Throughout the book, examples from the fields of medicine, public policy, and education are incorporated into the presentation of various topics. In addition, six detailed case studies illustrate concrete examples of the significance of biases in everyday research. Requiring only a basic understanding of statistics and probability theory, Bias and Causation is an excellent supplement for courses on research methods and applied statistics at the upper-undergraduate and graduate level. It is also a valuable reference for practicing researchers and methodologists in various fields of study who work with statistical data. This book was selected as the 2011 Ziegel Prize Winner in Technometrics for the best book reviewed by the journal. It is also the winner of the 2010 PROSE Award for Mathematics from The American Publishers Awards for Professional and Scholarly Excellence
The nature of survey research - The survey process - Sampling procedures - Questionnaire construction - The data collection stage - Coding practices - Designing survey - The process of data analysis - Single-variable statistics - Statistical inference for means - Two-variable tables - Measures of association - Control tables - Correlation and regression - Writing survey reports - Evaluating surveys - The ethics of polls.
Jewish voting is distinctive and paradoxical. Stereotypes about the voting habits of American Jews include that they vote at unusually high levels, that they’re liberal, that they vote for Democratic candidates without regard to their self-interest, and that Israel is their most important issue. Not only are all of those claims wrong, but they obscure aspects of Jews’ voting behavior that are much more interesting. The Politics of American Jews uncovers new perspectives on Jews’ political choices by analyzing the unprecedented amount of survey data that is now available, including surveys that permit contrasting the voting of Jews with that of comparable non-Jews. The data suggest several mysteries about Jewish voting. While more Jews are Democrats than are liberals, there has not been a previous exploration of why more politically conservative Jews are not Republicans. A fresh picture of Jews’ political behaviors shows that Jews are no longer politically monolithic. They vote on the basis of their self-interest and their values, but not all Jews share the same self-interest or the same values. While most Jews have incorporated being Democratic and liberal into their political DNA, growing divisions in their ranks suggest a mutation could occur.
An original account of willful ignorance and how this principle relates to modern probability and statistical methods Through a series of colorful stories about great thinkers and the problems they chose to solve, the author traces the historical evolution of probability and explains how statistical methods have helped to propel scientific research. However, the past success of statistics has depended on vast, deliberate simplifications amounting to willful ignorance, and this very success now threatens future advances in medicine, the social sciences, and other fields. Limitations of existing methods result in frequent reversals of scientific findings and recommendations, to the consternation of both scientists and the lay public. Willful Ignorance: The Mismeasure of Uncertainty exposes the fallacy of regarding probability as the full measure of our uncertainty. The book explains how statistical methodology, though enormously productive and influential over the past century, is approaching a crisis. The deep and troubling divide between qualitative and quantitative modes of research, and between research and practice, are reflections of this underlying problem. The author outlines a path toward the re-engineering of data analysis to help close these gaps and accelerate scientific discovery. Willful Ignorance: The Mismeasure of Uncertainty presents essential information and novel ideas that should be of interest to anyone concerned about the future of scientific research. The book is especially pertinent for professionals in statistics and related fields, including practicing and research clinicians, biomedical and social science researchers, business leaders, and policy-makers.
Today we are politically polarized as never before. The presidential elections of 2000 and 2004 will be remembered as two of the most contentious political events in American history. Yet despite the recent election upheaval, The American Voter Revisited discovers that voter behavior has been remarkably consistent over the last half century. And if the authors are correct in their predictions, 2008 will show just how reliably the American voter weighs in, election after election. The American Voter Revisited re-creates the outstanding 1960 classic The American Voter---which was based on the presidential elections of 1952 and 1956---following the same format, theory, and mode of analysis as the original. In this new volume, the authors test the ideas and methods of the original against presidential election surveys from 2000 and 2004. Surprisingly, the contemporary American voter is found to behave politically much like voters of the 1950s. "Simply essential. For generations, serious students of American politics have kept The American Voter right on their desk. Now, everyone will keep The American Voter Revisited right next to it." ---Larry J. Sabato, Director of the University of Virginia Center for Politics and author of A More Perfect Constitution "The American Voter Revisited is destined to be the definitive volume on American electoral behavior for decades. It is a timely book for 2008, with in-depth analyses of the 2000 and 2004 elections updating and extending the findings of the original The American Voter. It is also quite accessible, making it ideal for graduate students as well as advanced undergrads." ---Andrew E. Smith, Director of the University of New Hampshire Survey Center "A theoretically faithful, empirically innovative, comprehensive update of the original classic." ---Sam Popkin, Professor of Political Science, University of California, San Diego Michael S. Lewis-Beck is F. Wendell Miller Distinguished Professor of Political Science at the University of Iowa. William G. Jacoby is Professor of Political Science at Michigan State University. Helmut Norpoth is Professor of Political Science at Stony Brook University. Herbert F. Weisberg is Professor of Political Science at Ohio State University.
This is a reproduction of a book published before 1923. This book may have occasional imperfections such as missing or blurred pages, poor pictures, errant marks, etc. that were either part of the original artifact, or were introduced by the scanning process. We believe this work is culturally important, and despite the imperfections, have elected to bring it back into print as part of our continuing commitment to the preservation of printed works worldwide. We appreciate your understanding of the imperfections in the preservation process, and hope you enjoy this valuable book.
Using a clear, expository style that builds from simple to more complex topics, Weisberg explains how to measure the centre and variation on a single variable. Beginning with an exploration of how to measure variables with different numeric or non-numeric properties, the volume covers such important topics as ways to examine distributions of variables, ways to measure the spread of a variable in order to see how much the values on the variable differ, how to generalize the sample results to the population and the use of exploratory data analysis to measure centre and spread.
Retains complete coverage of the first edition, while amplifying key areas such as direct/indirect effects, standardized/unstandardized variables, multicollinie-arity, and nonrecursive modeling.
Human Lead Exposure consists of scientific reviews and important contributions intended to increase the understanding of the legal, social, and economic forces that have delayed effective prevention of lead toxicity. Chapters discuss the history (both ancient and recent) of lead, explore its neurobiology and toxicology, review the sources and routes to humans, and examine evidence that indicates that lead may affect humans at levels previously thought to be harmless. Neurobiologists, epidemiologists, public health officials, and others concerned about the effects of lead on the human population will find a tremendous amount of useful information in this timely volume.
Chapters in this book were originally commissioned for a conference ... held at the Mershon Center on the Ohio State University campus, March 7-10, 2002"--Preface.
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