With new student assessments and teacher evaluation schemes in the planning or early implementation phases, this book takes a step back to examine the ideological and historical grounding, potential benefits, scholarly evidence, and ethical basis for the new generation of test based accountability measures. After providing the political and cultural contexts for the rise of the testing accountability movement in the 1960s that culminated almost forty years later in No Child Left Behind and Race to the Top, this book then moves on to provide a policy history and social policy analysis of value-added testing in Tennessee that is framed around questions of power relations, winners, and losers. In examining the issues and exercise of power that are sustained in the long-standing policy of standardized testing in schools, this work provides a big picture perspective on assessment practices over time in the U. S.; by examining the rise of value-added assessment in Tennessee, a fine-grained and contemporary case is provided within that larger context. The last half of the book provides a detailed survey of the research based critiques of value-added methodology, while detailing an aggressive marketing campaign to make value-added modeling (VAM) a central component of reform strategies following NCLB. The last chapter and epilogue place the continuation of test-based accountability practices within the context of an emerging pushback against privatization, high stakes testing, and other education reforms. This book will be useful to a wide audience, including teachers, parents, school leaders, policymakers, researchers, and students of educational history, policy, and politics.

The definitive refutation to the argument of The Bell Curve. When published in 1981, The Mismeasure of Man was immediately hailed as a masterwork, the ringing answer to those who would classify people, rank them according to their supposed genetic gifts and limits. And yet the idea of innate limits—of biology as destiny—dies hard, as witness the attention devoted to The Bell Curve, whose arguments are here so effectively anticipated and thoroughly undermined by Stephen Jay Gould. In this edition Dr. Gould has written a substantial new introduction telling how and why he wrote the book and tracing the subsequent history of the controversy on innateness right through The Bell Curve. Further, he has added five essays on questions of The Bell Curve in particular and on race, racism, and biological determinism in general. These additions strengthen the book's claim to be, as Leo J. Kamin of Princeton University has said, "a major contribution toward deflating pseudo-biological 'explanations' of our present social woes."

Filled with real world examples derived from media reports on crime trends and other sources, this fully updated Second Edition analyzes the specific errors that can occur in the three most common methods used to report crime—official crime data, self report, and victimization studies. For each method, the authors examine strengths and weaknesses, the fundamental issues surrounding accuracy, and the method's application to theoretical and policy research. Throughout the book, the authors demonstrate the factors that underlie crime data and illustrate the fundamental links between theory, policy, and data measurement.

The 1954 Brown v. Board of Education decision required desegregation of America's schools, but it also set in motion an agonizing multidecade debate over race, class, and IQ. In this innovative book, Michael E. Staub investigates neuropsychological studies published between Brown and the controversial 1994 book The Bell Curve. In doing so, he illuminates how we came to view race and intelligence today. In tracing how research and experiments around such concepts as learned helplessness, deferred gratification, hyperactivity, and emotional intelligence migrated into popular culture and government policy, Staub reveals long-standing and widespread dissatisfaction—not least among middle-class whites—with the metric of IQ. He also documents the devastating consequences—above all for disadvantaged children of color—as efforts to undo discrimination and create enriched learning environments were recurrently repudiated and defunded. By connecting psychology, race, and public policy in a single narrative, Staub charts the paradoxes that have emerged and that continue to structure investigations of racism even into the era of contemporary neuroscientific research.

The Mismeasure of the Self is dedicated to vices that blight many lives. They are the vices of superiority, characteristic of those who feel entitled, superior and who have an inflated opinion of themselves, and those of inferiority, typical of those who are riddled with self-doubt and feel inferior. Arrogance, narcissism, haughtiness, and vanity are among the first group. Self-abasement, fatalism, servility, and timidity exemplify the second. This book shows these traits to be to vices of self-evaluation and describes their pervasive harmful effects in some detail. Even though the influence of these traits extends to any aspect of life, the focus of this book is their damaging impact on the life of the intellect. Tanesini develops and defends a view of these vices that puts vicious motivations at their core. The analyses developed in this work build on empirical research in attitude psychology and on philosophical theories in virtue ethics and epistemology. The book concludes with a positive proposal for weakening vice and promoting virtue.

An incisive study showing how cultural ideas of merit in academic science produce unfair and unequal outcomes. In Misconceiving Merit, sociologists Mary Blair-Loy and Erin A. Cech uncover the cultural foundations of a paradox. On one hand, academic science, engineering, and math revere meritocracy, a system that recognizes and rewards those with the greatest talent and dedication. At the same time, women and some racial and sexual minorities remain underrepresented and often feel unwelcome and devalued in STEM. How can academic science, which so highly values meritocracy and objectivity, produce these unequal outcomes? Blair-Loy and Cech studied more than five hundred STEM professors at a top research university to reveal how unequal and unfair outcomes can emerge alongside commitments to objectivity and excellence. The authors find that academic STEM harbors dominant cultural beliefs that not only perpetuate the mistreatment of scientists from underrepresented groups but hinder innovation. Underrepresented groups are often seen as less fully embodying merit compared to equally productive white and Asian heterosexual men, and the negative consequences of this misjudgment persist regardless of professors’ actual academic productivity. Misconceiving Merit is filled with insights for higher education administrators working toward greater equity as well as for scientists and engineers striving to change entrenched patterns of inequality in STEM.

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.

In recent years, scientific research & popular opinion have favoured the idea that sexual orientations are determined at birth, but Edward Stein argues that this may be wrong. This book offers an examination of contemporary thinking on this issue.

Public Education Under Siege argues for a democratic and egalitarian alternative to the test-driven, market-oriented core of current education reform. These short, jargon-free essays cover public policy, teacher unions, economic inequality, race, language diversity, parent involvement, and leadership.

Fully updated and revised, the second edition of New Learning explores the contemporary debates and challenges in education and considers how schools can prepare their students for the future. New Learning, Second Edition is an inspiring and comprehensive resource for pre-service and in-service teachers alike.