A powerful, data-driven investigation into how race, geography, and community shape the reporting and response to child abuse in Alabama.
Child Abuse in the Deep South is a groundbreaking examination of how child maltreatment is reported, confirmed, and understood in Alabama—a state shaped by deep historical, racial, and geographic divides. Drawing on over 7,000 case reports, this study reveals how factors such as race, community size, and regional culture influence the identification and handling of abuse cases. With a focus on both rural and urban settings, the book uncovers patterns of systemic bias, underreporting, and institutional response that have long gone unaddressed.
Through rigorous data analysis and a compassionate lens, this work challenges assumptions about child welfare in the American South and offers critical insights for policymakers, social workers, legal professionals, and scholars. Child Abuse in the Deep South is both a call to action and a vital resource for understanding the intersection of social justice, public policy, and child protection in one of the nation’s most complex regions.
Child Abuse in the Deep South provides a quantitative benchmark that investigators and policy-makers will find invaluable on the path to defining at-risk populations, effective interventions, and treatments.
“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).
Clifford Trafzer's disturbing new work, Death Stalks the Yakama, examines life, death, and the shockingly high mortality rates that have persisted among the fourteen tribes and bands living on the Yakama Reservation in the state of Washington. The work contains a valuable discussion of Indian beliefs about spirits, traditional causes of death, mourning ceremonies, and memorials. More significant, however, is Trafzer's research into heretofore unused parturition and death records from 1888-1964. In these documents, he discovers critical evidence to demonstrate how and why many reservation people died in "epidemics" of pneumonia, tuberculosis, and heart disease.
Death Stalks the Yakama, takes into account many variables, including age, gender, listed causes of death, residence, and blood quantum. In addition, analyses of fetal and infant mortality rates as well as crude death rates arising from tuberculosis, pneumonia, heart disease, accidents, and other causes are presented. Trafzer argues that Native Americans living on the Yakama Reservation were, in fact, in jeopardy as a result of the "reservation system" itself. Not only did this alien and artificial culture radically alter traditional ways of life, but sanitation methods, housing, hospitals, public education, medicine, and medical personnel affiliated with the reservation system all proved inadequate, and each in its own way contributed significantly to high Yakama death rates.
Tracing the introduction and promotion of vital statistics and demography, Schweber identifies the institutional conditions that account for the contrasting styles of reasoning. She shows that the different reactions to statistics stemmed from different criteria for what counted as scientific knowledge. The French wanted certain knowledge, a one-to-one correspondence between observations and numbers. The English adopted an instrumental approach, using the numbers to influence public opinion and evaluate and justify legislation.
Schweber recounts numerous attempts by vital statisticians and demographers to have their work recognized as legitimate scientific pursuits. While the British scientists had greater access to government policy makers, and were able to influence policy in a way that their French counterparts were not, ultimately neither the vital statisticians nor the demographers were able to institutionalize their endeavors. By 1885, both fields had been superseded by new forms of knowledge. Disciplining Statistics highlights how the development of “scientific” knowledge was shaped by interrelated epistemological, political, and institutional considerations.
This volume contains papers presented at a conference in May 1988 in Washington, D.C., commemorating the fiftieth anniversary of the founding of the Conference on Research in Income and Wealth (CRIW). The call for papers emphasized assessments of broad topics in economic measurement, both conceptual and pragmatic. The organizers desired (and succeeded in obtaining) a mix of papers that, first, illustrate the range of measurement issues that economics as a science must confront and, second, mark major milestones of CRIW accomplishment. The papers concern prices and output (Griliches, Pieper, Triplett) and also the major productive inputs, capital (Hulten) and labor (Hamermesh). Measures of saving, the source of capital accumulation, are covered in one paper (Boskin); measuring productivity, the source of much of the growth in per capita income, is reviewed in another (Jorgenson). The use of economic data in economic policy analysis and in regulation are illustrated in a review of measures of tax burden (Atrostic and Nunns) and in an analysis of the data needed for environmental regulation (Russell and Smith); the adequacy of data for policy analysis is evaluated in a roundtable discussion (chapter 12) involving four distinguished policy analysts with extensive government experience in Washington and Ottawa.
An edited volume that examines the data and statistics that are key to the music industry.
The music industries are fueled by statistics: sales targets, breakeven points, success ratios, royalty splits, website hits, ticket revenues, listener figures, piracy abuses, and big data. Statistics are of consequence. They influence the music that consumers get to hear, they determine the revenues of music makers, and they shape the policies of governments and legislators. Yet many of these statistics are generated by the music industries themselves, and their accuracy can be questioned. Music by Numbers sets out to explore this shadowy terrain.
This edited collection provides the first in-depth examination of the use and abuse of statistics in the music industry. Written by noted music business scholars and practitioners in the field, the book addresses five key areas in which numbers are employed: sales and awards; music industry policy; live music; music piracy; and digital solutions. The authors address these subjects from a range of perspectives: some of them test the veracity of this data and explore its tactical use by music businesses; others help to generate these numbers by developing surveys and online projects and offering candid observations.
The aim of this collection is to expose the culture and politics of data. Music industry statistics are pervasive, but despite this ubiquity they are underexplored. This book offers a corrective by providing new ways by which to learn music by numbers.
In the past twenty years, the number of educational tests with high-stakes consequences—such as promotion to the next grade level or graduating from high school—has increased. At the same time, the difficulty of the tests has also increased. In Texas, a Latina state legislator introduced and lobbied for a bill that would take such factors as teacher recommendations, portfolios of student work, and grades into account for the students—usually students of color—who failed such tests. The bill was defeated.
Using several types of ethnographic study (personal interviews, observations of the Legislature in action, news broadcasts, public documents from the Legislature and Texas Education Agency), Amanda Walker Johnson observed the struggle for the bill’s passage. Through recounting this experience, Objectifying Measures explores the relationship between the cultural production of scientific knowledge (of statistics in particular) and the often intuitive resistance to objectification of those adversely affected by the power of policies underwritten as "scientific."
"Hanes Walton, Donald Deskins, and Sherman Puckett have produced a highly impressive collection and valuable contribution to the literature on American electoral politics. This work is indispensable for academic libraries, political scientists, historians, and serious students of American government."
---Immanuel Ness, Professor, Department of Political Science, Brooklyn College, City University of New York
"Massive amounts of information about presidential elections which are not readily available elsewhere. Unprecedented coverage in one volume of every single American presidential election."
---James Gimpel, Professor of Government, University of Maryland
"This is an extraordinary research endeavor; the most comprehensive set of aggregate election data ever assembled. Painstakingly researched, this color-coded volume presents data for every presidential election from 1789 to 2008. Unlike most, the wide ranging narrative for this atlas identifies racial patterns in the vote. Everyone who studies or is interested in presidential elections should have this impressive collection of statistical data in their libraries. A visual gem for the digital age."
---Robert Smith, Professor of Political Science, San Francisco State University
"Presidential Elections, 1789-2008 is a genuine tour de force that captures in an extremely accessible and comprehensive way the electoral geography of America's presidential elections, from Washington to Obama. An invaluable addition to the library of all those interested in presidential elections and U.S. politics."
---Marion Orr, Frederick Lippitt Professor of Public Policy and Professor of Political Science, Brown University
"This volume sets an extraordinarily high standard in scholarship, completeness, description, and explanation of our political process. It has been said that all politics are local, but never before has this been demonstrated with such clarity and panache, using the simple method of standardized tables summarizing voting, then showing state and county breakdowns of the numbers, greatly strengthened by beautiful full-color maps and cartograms. Every scholar of politics and democracy will benefit from the work laid out in this volume."
---Keith Clarke, Professor of Geography, University of California, Santa Barbara
Presidential Elections is an almanac of the popular vote in every presidential election in American history, analyzed at the county level with histories of each campaign, graphs, and stunning four-color maps. Most Americans are familiar with the crude red state/blue state maps used by commentators and campaign strategists---and even, for want of an alternative, by many academics. In providing a higher-resolution view of voting behavior the authors of this new volume enable examination of local and regional political trends that are invisible in state-level aggregations.
Presidential Elections will enable scholars to more subtly analyze voting behavior, campaigns, and presidential politics; commentators will use it to analyze trends and trace the historical evolution of new coalitions and voting blocs; strategists will use it to plan campaigns and mobilize constituencies. Presidential Elections will become the standard almanac on the subject: a required resource for academic and public libraries, as well as for scholars, consultants, and pundits nationwide.
Donald R. Deskins, Jr., is a political geographer and Emeritus Professor of Sociology and a former Associate Dean of the Horace H. Rackham School of Graduate Studies at the University of Michigan.
Hanes Walton, Jr., is Professor of Political Science at the University of Michigan. He also holds positions as Senior Research Scientist at the Center for Political Studies and as a faculty member in the Center for Afroamerican and African Studies.
Categorizing race and ethnicity for twenty-first-century statistics and economics.
The increasing racial and ethnic diversity of the US population raises the question of whether the race and ethnicity categories and definitions used by federal statistical agencies to create demographic statistics on which government officials, business decision-makers, and private citizens rely fully reflect the changing population. Official definitions of existing race and ethnic groups do not always command wide agreement, and over time, some definitions that were once widely accepted may become less so based on political, legal, and social factors. Comparable measures of race and ethnicity over time are needed to accurately track historical changes in economic and social outcomes, as well as racial and ethnic segregation.
This volume explores the production of economic statistics that accurately depict the complex racial and ethnic diversity of the US population in the twenty-first century. The chapters examine the consequences for economic analyses of different measurement choices concerning race and ethnicity, assess the likely implications of the 2024 changes in federal race and ethnicity measurement standards, introduce new data sets with richer demographic information, and compare measures of race and ethnicity in administrative versus survey data. They also apply existing data in creative ways to develop alternative characterizations of the changing US workforce and to illuminate important policy questions related to criminal justice, immigration, labor market discrimination, the social safety net, health care, and child welfare.
Are our elections for sale? Americans have long asked this question in the face of skyrocketing campaign spending by candidates and parties. Then, in the 1990s, came a wave of wealthy individuals whose deep pockets seemed to be buying political offices across the country. Our worst suspicions were confirmed. Or were they? What effect do self-financers really have on electoral outcomes? Jennifer Steen's authoritative empirical study of self-financed candidates is a landmark in American politics. Steen thoroughly dispels the notion that self-funded candidates can buy legislative seats, proving that the vast majority of self-financers do not win their elections. Her book gives us a truer understanding of self-financers' actual influence on campaign competition and rhetoric.
Jennifer A. Steen is Assistant Professor of Political Science at Boston College and a former political consultant. She is one of the nation's leading authorities on self-financed candidates.
The Solutions Manual to Elements of Econometrics, Second Edition provides chapter solutions to the exercises in the college textbook: Elements of Econometrics, Second Edition by Jan Kmenta.
A long-overdue guide on how to use statistics to bring clarity, not confusion, to policy work.
Statistics are an essential tool for making, evaluating, and improving public policy. Statistics for Public Policy is a crash course in wielding these unruly tools to bring maximum clarity to policy work. Former White House economist Jeremy G. Weber offers an accessible voice of experience for the challenges of this work, focusing on seven core practices:
A hard-hitting investigation of the racist uses of statistics—now in paperback!
Tukufu Zuberi offers a concise account of the historical connections between the development of the idea of race and the birth of social statistics. Zuberi describes how race-differentiated data are misinterpreted in the social sciences and asks searching questions about the ways racial statistics are used. He argues that statistical analysis can and must be deracialized, and that this deracialization is essential to the goal of achieving social justice for all.
Documenting the latest statistical data on current problems related to reproductive health issues in Central and Eastern Europe, this text explores the reasons for these problems and recommends action based on the scientific evidence for improving reproductive health.
The main issues covered are: declining standards of reproductive health care; rising trends in the incidence of sexually transmitted diseases; low rates of use of modern contraceptives; high rates of induced abortion; high prevalence of infertility; and the needs of adolescents with regard to reproductive health.
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