Policymakers, medical practitioners, and the public alike face an increasingly bewildering flood of new and often contradictory scientific studies on almost every topic. Whether the issue is the the best treatment for breast cancer, the need for prenatal food programs to improve the health of poor infants and mothers, or the ability of women to succeed in scientific professions, the healthy growth of modern science has at times done more to stir up controversy than to establish reliable knowledge. But now scientists in several fields have developed a sophisticated new methodology called meta-analysis to address this problem. By numerically combining diverse research findings on a single question, meta-analysis can be used to identify their central tendency and reach conclusions far more reliable than those of any single investigation. How Science Takes Stock vividly tells the story of meta-analysis through the eyes of its architects and champions, and chronicles its history, techniques, achievements, and controversies. Noted science author Morton Hunt visits key practitioners and recounts their use of meta-analysis to resolve important scientific puzzles and longstanding debates. Does psychotherapy work, and if so what form works best? Does spending federal money on education really improve student performance? Can a single enzyme significantly decrease the risk of heart attack? Do boot camps reduce juvenile delinquency? With each account, Hunt illustrates the major components of the meta-analytic method, reveals strategies for resolving practical and theoretical problems, and discusses the impact of meta-analysis on the science and policy communities. In many cases, he demonstrates how meta-analysts have gone a step further to determine the causes of earlier discrepancies. In this way they not only identify successful approaches to the question at hand, but also clarify the conditions under which they will work best. Hunt also portrays the important but frequently controversial business of doing meta-analysis for legislators and government agencies, particularly in sensitive areas of social policy. How Science Takes Stock demonstrates how the statistical techniques of meta-analysis produce more accurate data than the standard literature review or the old-fashioned process of tallying up the results of each scientific study as if they were votes in an election to decide the truth. Hunt also addresses issues of quality control in each phase of the meta-analytic process, and answers skeptics who claim that the dissimilarities between studies are often too significant for meta-analysis to be any more than an apples and oranges approach. This volume conveys the power of meta-analysis to help social policymakers and health professionals resolve their most pressing problems. How Science Takes Stock concludes with a discussion of the future of meta-analysis that examines its potential for further refinements, its growth in the scientific literature, and exciting new possibilities for its future use. An appendix by meta-analysis expert Harris Cooper offers some finer points on the mechanics of conducting a meta-analytic investigation.

Research synthesis is the practice of systematically distilling and integrating data from many studies in order to draw more reliable conclusions about a given research issue. When the first edition of The Handbook of Research Synthesis and Meta-Analysis was published in 1994, it quickly became the definitive reference for conducting meta-analyses in both the social and behavioral sciences. In the third edition, editors Harris Cooper, Larry Hedges, and Jeff Valentine present updated versions of classic chapters and add new sections that evaluate cutting-edge developments in the field. The Handbook of Research Synthesis and Meta-Analysis draws upon groundbreaking advances that have transformed research synthesis from a narrative craft into an important scientific process in its own right. The editors and leading scholars guide the reader through every stage of the research synthesis process—problem formulation, literature search and evaluation, statistical integration, and report preparation. The Handbook incorporates state-of-the-art techniques from all quantitative synthesis traditions and distills a vast literature to explain the most effective solutions to the problems of quantitative data integration. Among the statistical issues addressed are the synthesis of non-independent data sets, fixed and random effects methods, the performance of sensitivity analyses and model assessments, the development of machine-based abstract screening, the increased use of meta-regression and the problems of missing data. The Handbook also addresses the non-statistical aspects of research synthesis, including searching the literature and developing schemes for gathering information from study reports. Those engaged in research synthesis will find useful advice on how tables, graphs, and narration can foster communication of the results of research syntheses. The third edition of the Handbook provides comprehensive instruction in the skills necessary to conduct research syntheses and represents the premier text on research synthesis. Praise for the first edition: "The Handbook is a comprehensive treatment of literature synthesis and provides practical advice for anyone deep in the throes of, just teetering on the brink of, or attempting to decipher a meta-analysis. Given the expanding application and importance of literature synthesis, understanding both its strengths and weaknesses is essential for its practitioners and consumers. This volume is a good beginning for those who wish to gain that understanding." —Chance "Meta-analysis, as the statistical analysis of a large collection of results from individual studies is called, has now achieved a status of respectability in medicine. This respectability, when combined with the slight hint of mystique that sometimes surrounds meta-analysis, ensures that results of studies that use it are treated with the respect they deserve....The Handbook of Research Synthesis is one of the most important publications in this subject both as a definitive reference book and a practical manual."—British Medical Journal When the first edition of The Handbook of Research Synthesis was published in 1994, it quickly became the definitive reference for researchers conducting meta-analyses of existing research in both the social and biological sciences. In this fully revised second edition, editors Harris Cooper, Larry Hedges, and Jeff Valentine present updated versions of the Handbook's classic chapters, as well as entirely new sections reporting on the most recent, cutting-edge developments in the field. Research synthesis is the practice of systematically distilling and integrating data from a variety of sources in order to draw more reliable conclusions about a given question or topic. The Handbook of Research Synthesis and Meta-Analysis draws upon years of groundbreaking advances that have transformed research synthesis from a narrative craft into an important scientific process in its own right. Cooper, Hedges, and Valentine have assembled leading authorities in the field to guide the reader through every stage of the research synthesis process—problem formulation, literature search and evaluation, statistical integration, and report preparation. The Handbook of Research Synthesis and Meta-Analysis incorporates state-of-the-art techniques from all quantitative synthesis traditions. Distilling a vast technical literature and many informal sources, the Handbook provides a portfolio of the most effective solutions to the problems of quantitative data integration. Among the statistical issues addressed by the authors are the synthesis of non-independent data sets, fixed and random effects methods, the performance of sensitivity analyses and model assessments, and the problem of missing data. The Handbook of Research Synthesis and Meta-Analysis also provides a rich treatment of the non-statistical aspects of research synthesis. Topics include searching the literature, and developing schemes for gathering information from study reports. Those engaged in research synthesis will also find useful advice on how tables, graphs, and narration can be used to provide the most meaningful communication of the results of research synthesis. In addition, the editors address the potentials and limitations of research synthesis, and its future directions. The past decade has been a period of enormous growth in the field of research synthesis. The second edition Handbook thoroughly revises original chapters to assure that the volume remains the most authoritative source of information for researchers undertaking meta-analysis today. In response to the increasing use of research synthesis in the formation of public policy, the second edition includes a new chapter on both the strengths and limitations of research synthesis in policy debates

Positive psychology exploded into public consciousness 10 years ago and has continued to capture attention around the world ever since. This book evaluates the first decade of this fledgling field of study from the perspective of nearly every leading researcher in the field.

A thought-provoking examination of the intersections of knowledge and violence, and the quandaries and costs of modern, technoscientific warfare. Science and violence converge in modern warfare. While the finest minds of the twentieth century have improved human life, they have also produced human injury. They engineered radar, developed electronic computers, and helped mass produce penicillin all in the context of military mobilization. Scientists also developed chemical weapons, atomic bombs, and psychological warfare strategies. Rational Fog explores the quandary of scientific and technological productivity in an era of perpetual war. Science is, at its foundation, an international endeavor oriented toward advancing human welfare. At the same time, it has been nationalistic and militaristic in times of crisis and conflict. As our weapons have become more powerful, scientists have struggled to reconcile these tensions, engaging in heated debates over the problems inherent in exploiting science for military purposes. M. Susan Lindee examines this interplay between science and state violence and takes stock of researchers’ efforts to respond. Many scientists who wanted to distance their work from killing have found it difficult and have succumbed to the exigencies of war. Indeed, Lindee notes that scientists who otherwise oppose violence have sometimes been swept up in the spirit of militarism when war breaks out. From the first uses of the gun to the mass production of DDT and the twenty-first-century battlefield of the mind, the science of war has achieved remarkable things at great human cost. Rational Fog reminds us that, for scientists and for us all, moral costs sometimes mount alongside technological and scientific advances.

Stock Identification Methods, 2e, continues to provide a comprehensive review of the various disciplines used to study the population structure of fishery resources. It represents the worldwide experience and perspectives of experts on each method, assembled through a working group of the International Council for the Exploration of the Sea. The book is organized to foster interdisciplinary analyses and conclusions about stock structure, a crucial topic for fishery science and management. Technological advances have promoted the development of stock identification methods in many directions, resulting in a confusing variety of approaches. Based on central tenets of population biology and management needs, this valuable resource offers a unified framework for understanding stock structure by promoting an understanding of the relative merits and sensitivities of each approach. - Describes 18 distinct approaches to stock identification grouped into sections on life history traits, environmental signals, genetic analyses, and applied marks - Features experts' reviews of benchmark case studies, general protocols, and the strengths and weaknesses of each identification method - Reviews statistical techniques for exploring stock patterns, testing for differences among putative stocks, stock discrimination, and stock composition analysis - Focuses on the challenges of interpreting data and managing mixed-stock fisheries

Published by the American Geophysical Union as part of the Special Publications Series. Whether you are a science undergraduate or graduate student, post-doc or senior scientist, you need practical career development advice. Put Your Science to Work: The Take-Charge Career Guide for Scientists can help you explore all your options and develop dynamite strategies for landing the job of your dreams. Completely revised and updated from the best-selling To Boldly Go: A Practical Career Guide for Scientists, this second edition offers expert help from networking to negotiating a job offer. This is the book you need to start moving your career in the right direction.

There are only two types of stocks: those safe from bubbles and those that are not. This is a fact of investing many discovered as they saw their fabulous gains whittled away by the extreme calamity of the Internet sector. But what about the future? Is there a way for investors to capture the enormous potential for profit that exists at the frontier of the economy, the place where innovation and genius operate, without placing their fortunes in jeopardy? Is there a way to evaluate price increases—and declines—and identify whether they are happening for good or bad reasons? Bubbleology makes it possible to separate the winners from the losers. It is a brilliant, practical, and original analysis of the stock market that bashes the conventional wisdom about bubbles, showing that such famous examples as Tulipomania were not, in fact, bubbles at all. Bubbleology shows that the traditional way of evaluating risk—equating it with volatility—is inherently flawed and incomplete. If a stock fluctuates a lot in price it is regarded as risky. If the price is stable, then it is not. What this simplistic way of thinking leaves out is the simple fact that companies trying something completely new that may fundamentally alter the economic landscape are operating at the frontier. The stock of such a company swims in a sea of ambiguity, its circumstances uncertain, since there is little to provide guidance about the future. But when nobody knows for sure what will happen, pundits tell us again about Tulipomania, the South Seas Bubble, and now the debacle of the Internet to scare investors away from potentially enormous profits. To realize those profits, however, investors have to understand the role that uncertainty and ambiguity—the absence of reliable information about future events—play in the modern stock market. Those who equate ambiguity with bubbles will miss the great opportunities of the future. Bubbleology provides a new way to observe what is really going on in the market, enabling you to understand whether a stock or a sector is suspicious—whether it is in a bubble and therefore something to be avoided. Finding bubbles requires knowing where to look and what to look for. Bubbleology will help you avoid both streaming into speculative manias and shying away from perfectly good business opportunities. It tells you why you need to avoid both pontificating pundits and overconfident stock analysts. With this unique and forward-thinking book, you can inspect suspicious stocks, accurately discern risk, and diagnose a blossoming bubble before it vanishes along with your money.