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For more than 200 years, America has turned to the decennial census to answer questions about itself. More than a mere head count, the census is the authoritative source of information on where people live, the types of families they establish, how they identify themselves, the jobs they hold, and much more. The latest census, taken at the cusp of the new millennium, gathered more information than ever before about Americans and their lifestyles. The American People, edited by respected demographers Reynolds Farley and John Haaga, provides a snapshot of those findings that is at once analytically rich and accessible to readers at all levels. The American People addresses important questions about national life that census data are uniquely able to answer. Mary Elizabeth Hughes and Angela O'Rand compare the educational attainment, economic achievement, and family arrangements of the baby boom cohort with those of preceding generations. David Cotter, Joan Hermsen, and Reeve Vanneman find that, unlike progress made in previous decades, the 1990s were a time of stability—and possibly even retrenchment—with regard to gender equality. Sonya Tafoya, Hans Johnson, and Laura Hill examine a new development for the census in 2000: the decision to allow people to identify themselves by more than one race. They discuss how people form multiracial identities and dissect the racial and ethnic composition of the roughly seven million Americans who chose more than one racial classification. Former Census Bureau director Kenneth Prewitt discusses the importance of the census to democratic fairness and government efficiency, and notes how the high stakes accompanying the census count (especially the allocation of Congressional seats and federal funds) have made the census a lightening rod for criticism from politicians. The census has come a long way since 1790, when U.S. Marshals setout on horseback to count the population. Today, it holds a wealth of information about who we are, where we live, what we do, and how much we have changed. The American People provides a rich, detailed examination of the trends that shape our lives and paints a comprehensive portrait of the country we live in today. A Volume in the Russell Sage Foundation Census Series

“McCloskey and Ziliak have been pushing this very elementary, very correct, very important argument through several articles over several years and for reasons I cannot fathom it is still resisted. If it takes a book to get it across, I hope this book will do it. It ought to.”

—Thomas Schelling, Distinguished University Professor, School of Public Policy, University of Maryland, and 2005 Nobel Prize Laureate in Economics

“With humor, insight, piercing logic and a nod to history, Ziliak and McCloskey show how economists—and other scientists—suffer from a mass delusion about statistical analysis. The quest for statistical significance that pervades science today is a deeply flawed substitute for thoughtful analysis. . . . Yet few participants in the scientific bureaucracy have been willing to admit what Ziliak and McCloskey make clear: the emperor has no clothes.”

—Kenneth Rothman, Professor of Epidemiology, Boston University School of Health

The Cult of Statistical Significance shows, field by field, how “statistical significance,” a technique that dominates many sciences, has been a huge mistake. The authors find that researchers in a broad spectrum of fields, from agronomy to zoology, employ “testing” that doesn’t test and “estimating” that doesn’t estimate. The facts will startle the outside reader: how could a group of brilliant scientists wander so far from scientific magnitudes? This study will encourage scientists who want to know how to get the statistical sciences back on track and fulfill their quantitative promise. The book shows for the first time how wide the disaster is, and how bad for science, and it traces the problem to its historical, sociological, and philosophical roots.

Stephen T. Ziliak is the author or editor of many articles and two books. He currently lives in Chicago, where he is Professor of Economics at Roosevelt University. Deirdre N. McCloskey, Distinguished Professor of Economics, History, English, and Communication at the University of Illinois at Chicago, is the author of twenty books and three hundred scholarly articles. She has held Guggenheim and National Humanities Fellowships. She is best known for How to Be Human* Though an Economist (University of Michigan Press, 2000) and her most recent book, The Bourgeois Virtues: Ethics for an Age of Commerce (2006).

Endowments, foundations, pension funds, private equity, venture capital, hedge funds: these terms are now commonplace as the world of institutional investing has become increasingly complex over the past hundred years. But how did it get this way? The Evolution of Investing at the University of Michigan traces the development of institutional investing through the lens of one of the country’s largest endowments, illustrating how tidal changes in the law, new approaches to governance, portfolio theory and continuing academic advances and studies, as well as incredible innovation in the practice of investment management, have all combined to create the highly sophisticated investing landscape of today.

Scientific progress often begins with the difficult task of preparing informed, conclusive reviews of existing research. Since the 1970s, the traditional "subjective" approach to research reviewing in the social sciences has been challenged by a statistical alternative known as meta-analysis. Meta-analysis provides a principled method of distilling reliable generalizations from previous studies on a single topic, thereby providing a quantitative and objective background for future research. The Future of Meta-Analysis brings together expert researchers for an in-depth examination of this new methodology—not to promote a consensus view but rather to explore from several perspectives the theories, tensions, and concerns of meta-analysis, and to illustrate through concrete examples the rationale behind meta-analytic decisions. In a meta-analysis prepared especially for this volume, a statistician and a psychologist review the existing literature on aphasia treatment. In a second study, experts analyze six still-unpublished meta-analyses sponsored by the National Institute of Education to investigate the effects of school desegregation on the academic achievement of black children. This unique case study approach provides valuable discussion of the process of meta-analysis and of the current implications of meta-analysis for policy assessment. Prepared under the auspices of the National Research Council, The Future of Meta-Analysis presents a forum for leaders in this rapidly evolving field to discuss salient conceptual and technical issues and to offer a new theoretical framework, further methodological guidance, and statistical innovations that anticipate a future in which meta-analysis will play an even more effective and valuable role in social science research.

 

This comprehensive reference work covers the early years of major league baseball from the first game—May 4, 1871, a 2-0 victory for the Fort Wayne Kekiongas over the visiting Cleveland Forest City team—through the 1900 season. Baseball historian David Nemec presents complete team rosters and detailed player, manager, and umpire information, with a wealth of statistics to warm a fan’s heart.

 

Sidebars cover a variety of topics, from oddities—the team that had the best record but finished second—to analyses of why Cleveland didn’t win any pennants in the 1890s. Additional benefits include dozens of rare illustrations and narrative accounts of each year’s pennant race. Nemec also carefully charts the rule changes from year to year as the game developed by fits and starts to formulate the modern rules. The result is an essential work of reference and at the same time a treasury of baseball history.

 

This new edition adds much material unearthed since the first edition, fills gaps, and corrects errors, while presenting a number of new stories and fascinating details. David Nemec began the lifetime labor that helped produced this work in 1954 and admits it may never end, as there always will be some obscure player whose birth date has not yet been found. Until perfection is achieved, this work offers state-of-the-art accuracy and detail beyond that supplied by even modern baseball encyclopedias. As Casey Stengel, who was born during this era, was wont to say, “you could look it up.”  Now you can.

 

Long before Moneyball became a sensation or Nate Silver turned the knowledge he’d honed on baseball into electoral gold, John Thorn and Pete Palmer were using statistics to shake the foundations of the game. First published in 1984, The Hidden Game of Baseball ushered in the sabermetric revolution by demonstrating that we were thinking about baseball stats—and thus the game itself—all wrong. Instead of praising sluggers for gaudy RBI totals or pitchers for wins, Thorn and Palmer argued in favor of more subtle measurements that correlated much more closely to the ultimate goal: winning baseball games.
            The new gospel promulgated by Thorn and Palmer opened the door for a flood of new questions, such as how a ballpark’s layout helps or hinders offense or whether a strikeout really is worse than another kind of out. Taking questions like these seriously—and backing up the answers with data—launched a new era, showing fans, journalists, scouts, executives, and even players themselves a new, better way to look at the game.
            This brand-new edition retains the body of the original, with its rich, accessible analysis rooted in a deep love of baseball, while adding a new introduction by the authors tracing the book’s influence over the years. A foreword by ESPN’s lead baseball analyst, Keith Law, details The Hidden Game’s central role in the transformation of baseball coverage and team management and shows how teams continue to reap the benefits of Thorn and Palmer’s insights today. Thirty years after its original publication, The Hidden Game is still bringing the high heat—a true classic of baseball literature.

The change in the way the federal government asked for information about race in the 2000 census marked an important turning point in the way Americans measure race. By allowing respondents to choose more than one racial category for the first time, the Census Bureau challenged strongly held beliefs about the nature and definition of race in our society. The New Race Question is a wide-ranging examination of what we know about racial enumeration, the likely effects of the census change, and possible policy implications for the future. The growing incidence of interracial marriage and childrearing led to the change in the census race question. Yet this reality conflicts with the need for clear racial categories required by anti-discrimination and voting rights laws and affirmative action policies. How will racial combinations be aggregated under the Census's new race question? Who will decide how a respondent who lists more than one race will be counted? How will the change affect established policies for documenting and redressing discrimination? The New Race Question opens with an exploration of what the attempt to count multiracials has shown in previous censuses and other large surveys. Contributor Reynolds Farley reviews the way in which the census has traditionally measured race, and shows that although the numbers of people choosing more than one race are not high at the national level, they can make a real difference in population totals at the county level. The book then takes up the debate over how the change in measurement will affect national policy in areas that rely on race counts, especially in civil rights law, but also in health, education, and income reporting. How do we relate data on poverty, graduation rates, and disease collected in 2000 to the rates calculated under the old race question? A technical appendix provides a useful manual for bridging old census data to new. The book concludes with a discussion of the politics of racial enumeration. Hugh Davis Graham examines recent history to ask why some groups were determined to be worthy of special government protections and programs, while others were not. Posing the volume's ultimate question, Jennifer Hochschild asks whether the official recognition of multiracials marks the beginning of the end of federal use of race data, and whether that is a good or a bad thing for society? The New Race Question brings to light the many ways in which a seemingly small change in surveying and categorizing race can have far reaching effects and expose deep fissures in our society. A Volume in the Russell Sage Foundation Census Series Copublished with the Levy Economics Institute of Bard College

"[An] important essay by a philosopher who more convincingly than any other I can think of demonstrates the continuing significance of his vocation in the life of our culture."—Karsten Harries, The New York Times Book Review

With The Presence of Myth, Kolakowski demonstrates that no matter how hard man strives for purely rational thought, there has always been-and always will be-a reservoir of mythical images that lend "being" and "consciousness" a specifically human meaning.

"Kolakowski undertakes a philosophy of culture which extends to all realms of human intercourse—intellectual, artistic, scientific, and emotional. . . . [His] book has real significance for today, and may well become a classic in the philosophy of culture."—Anglican Theological Review

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.

Simply put, Thinking Through Statistics is a primer on how to maintain rigorous data standards in social science work, and one that makes a strong case for revising the way that we try to use statistics to support our theories. But don’t let that daunt you. With clever examples and witty takeaways, John Levi Martin proves himself to be a most affable tour guide through these scholarly waters.

Martin argues that the task of social statistics isn't to estimate parameters, but to reject false theory. He illustrates common pitfalls that can keep researchers from doing just that using a combination of visualizations, re-analyses, and simulations. Thinking Through Statistics gives social science practitioners accessible insight into troves of wisdom that would normally have to be earned through arduous trial and error, and it does so with a lighthearted approach that ensures this field guide is anything but stodgy.