"The Myth of the Normal Curve provides a much-needed critique of commonly and even scientifically accepted notions of normality. For too long we have supported an ideology of normality without much interrogation of the subject. This book provides that interrogation."---Lennard J. Davis, Professor of English and Disability Studies, University of Illinois at Chicago --Book Jacket.
This book discusses one of the hottest topics in science today, i.e., the concern over certain problematic practices within the scientific enterprise. It raises questions and, more importantly, begins to supply answers about one particularly widespread phenomenon that sometimes impedes scientific progress: group processes. The book looks at many problematic manifestations of “going along with the crowd” that are adopted at the expense of truth. Closely related is the concept of pathological altruism or altruism bias—the tendency of scientists to bias their research in order to further the ideological or financial interests of an “in-group” at the expense of both the interest of other groups as well as the truth. The book challenges the widespread notion that science is invariably a benevolent, benign process. It defines the scientific enterprise, in practice as opposed to in theory, as a cultural system designed to produce factual knowledge. In effect, the book offers a broad and unique take on an important and incompletely explored subject: research and academic discourse that sacrifices scientific objectivity, and perhaps even the scientist’s own ethical standards, in order to further the goals of a particular group of researchers or reinforce their shared belief system or their own interests, whether economic, ideological, or bureaucratic.
This new edition brings McLaren's popular, classic textbook into a new era of Common Core Standards and online education. The book is renowned for its clear, provocative classroom narratives and its coverage of political, economic, and social factors that are undervalued in other educational textbooks. An international committee of experts ranked Life in Schools among the top twelve education books in the world.
Every child should have access to an education that works. The Quest for a Meaningful Special Education follows the educational journeys of nine students with a language-based learning disability (LBLD) who, through a combination of parental advocacy and luck, were removed from a debilitating learning situation and enrolled in a school designed to address their particular learning needs. In the process of following their journeys, the book explores the role of cultures within and outside the school and examines some of the ways that the construction of special education has affected student learning. In the context of the ongoing national conversation about student academic success, high school dropout rates, the disproportionate number of prison inmates with learning disabilities, the costs of educating students, and the controversy over the placement of minorities in special education, The Quest For a Meaningful Special Education is a timely book that will add a new perspective to current debates
An in-depth guide to understanding probability distributions and financial modeling for the purposes of investment management In Financial Models with Lévy Processes and Volatility Clustering, the expert author team provides a framework to model the behavior of stock returns in both a univariate and a multivariate setting, providing you with practical applications to option pricing and portfolio management. They also explain the reasons for working with non-normal distribution in financial modeling and the best methodologies for employing it. The book's framework includes the basics of probability distributions and explains the alpha-stable distribution and the tempered stable distribution. The authors also explore discrete time option pricing models, beginning with the classical normal model with volatility clustering to more recent models that consider both volatility clustering and heavy tails. Reviews the basics of probability distributions Analyzes a continuous time option pricing model (the so-called exponential Lévy model) Defines a discrete time model with volatility clustering and how to price options using Monte Carlo methods Studies two multivariate settings that are suitable to explain joint extreme events Financial Models with Lévy Processes and Volatility Clustering is a thorough guide to classical probability distribution methods and brand new methodologies for financial modeling.
This book chronicles the professional life of a career-long, inclusive educator in New York City through eight different stages in special and general education. Developing a new approach to research as part of qualitative methodology, David J. Connor merges the academic genre of autoethnography with memoir to create a narrative that engages the reader through stories of personal experiences within the professional world that politicized him as an educator. After each chapter’s narrative, a systematic analytic commentary follows that focuses on: teaching and learning in schools and universities; the influence of educational laws; specific models of disability and how influence educators and educational researchers; and educational structures and systems—including their impact on social, political, and cultural experiences of people with disabilities. This autoethnographic memoir documents, over three decades, the relationship between special and general education, the growth of the inclusion movement, and the challenge of special education as a discrete academic field. As part of a national group of critical special educators, Connor describes the growth of counter-theory through the inception and subsequent growth of DSE as a viable academic field, and the importance of rethinking human differences in new ways.
A New York Times–bestselling author looks at mathematics education in America—when it’s worthwhile, and when it’s not. Why do we inflict a full menu of mathematics—algebra, geometry, trigonometry, even calculus—on all young Americans, regardless of their interests or aptitudes? While Andrew Hacker has been a professor of mathematics himself, and extols the glories of the subject, he also questions some widely held assumptions in this thought-provoking and practical-minded book. Does advanced math really broaden our minds? Is mastery of azimuths and asymptotes needed for success in most jobs? Should the entire Common Core syllabus be required of every student? Hacker worries that our nation’s current frenzied emphasis on STEM is diverting attention from other pursuits and even subverting the spirit of the country. Here, he shows how mandating math for everyone prevents other talents from being developed and acts as an irrational barrier to graduation and careers. He proposes alternatives, including teaching facility with figures, quantitative reasoning, and understanding statistics. Expanding upon the author’s viral New York Times op-ed, The Math Myth is sure to spark a heated and needed national conversation—not just about mathematics but about the kind of people and society we want to be. “Hacker’s accessible arguments offer plenty to think about and should serve as a clarion call to students, parents, and educators who decry the one-size-fits-all approach to schooling.” —Publishers Weekly, starred review
This book answers two questions: What does the implementation of inclusive education require of a system of education and all parts of the system? How do various parts of the education system act on their commitment to inclusive educational practice? Decades after major legislation (i.e., the Civil Rights Act, the Elementary and Secondary Education Act, and the Education for All Handicapped Children Act) made high-quality education a fundamental right for all children in the United States, the dream of diverse, inclusive, democratic schooling has yet to be realized. Nevertheless, some classrooms, schools, districts, states, and universities have made progress. Inclusive Education: A Systematic Perspective explores the theoretical implications of inclusive practice as well as illustrative case studies and evaluation findings from states, educator preparation programs, districts, and schools that have reframed their work around the principles of inclusive practice. Whether these organizations position the work as “social justice education,” “culturally responsive teaching,” or “inclusion,” their efforts lead in the same direction—toward higher quality and more equitable education for all. The chapters will be relevant to graduate students, faculty members, and education leaders, at all levels, who seek a comprehensive overview of the commitment and practice of “inclusive education”. Chapters vary in their approaches to the topic, some presenting theoretical underpinnings, others describing practices or programs at particular sites, others reporting findings from empirical studies, and edited interviews with state and district leaders of inclusive-education initiatives. The book explores why inclusion is important and how it can be accomplished.
This book proposes and explores the idea that the forced union of the aleatory and epistemic aspects of probability is a sterile hybrid, inspired and nourished for 300 years by a false hope of formalizing inductive reasoning, making uncertainty the object of precise calculation. Because this is not really a possible goal, statistical inference is not, cannot be, doing for us today what we imagine it is doing for us. It is for these reasons that statistical inference can be characterized as a myth. The book is aimed primarily at social scientists, for whom statistics and statistical inference are a common concern and frustration. Because the historical development given here is not merely anecdotal, but makes clear the guiding ideas and ambitions that motivated the formulation of particular methods, this book offers an understanding of statistical inference which has not hitherto been available. It will also serve as a supplement to the standard statistics texts. Finally, general readers will find here an interesting study with implications far beyond statistics. The development of statistical inference, to its present position of prominence in the social sciences, epitomizes a number of trends in Western intellectual history of the last three centuries, and the 11th chapter, considering the function of statistical inference in light of our needs for structure, rules, authority, and consensus in general, develops some provocative parallels, especially between epistemology and politics.
“A remarkable book . . . I found myself thinking that all expectant and new parents should read it.” —Michelle Slater A New York Times Book Review Editors' Choice In Raising a Rare Girl, Lanier explores how to defy the tyranny of normal and embrace parenthood as a spiritual practice that breaks us open in the best of ways. Like many women of her generation, when Heather Lanier was expecting her first child she did everything by the book in the hope that she could create a SuperBaby, a supremely healthy human destined for a high-achieving future. But her daughter Fiona challenged all of Lanier’s preconceptions. Born with an ultra-rare syndrome known as Wolf-Hirschhorn, Fiona received a daunting prognosis: she would experience significant developmental delays and might not reach her second birthday. The diagnosis obliterated Lanier’s perfectionist tendencies, along with her most closely held beliefs about certainty, vulnerability, God, and love. With tiny bits of mozzarella cheese, a walker rolled to library story time, a talking iPad app, and a whole lot of pop and reggae, mother and daughter spend their days doing whatever it takes to give Fiona nourishment, movement, and language. Loving Fiona opens Lanier up to new understandings of what it means to be human, what it takes to be a mother, and above all, the aching joy and wonder that come from embracing the unique life of her rare girl.
