Discusses good and bad student testing, shows teachers how to construct accurate methods of assessment and use their results to teach, and explains how teachers can protect themselves and students by educating parents, policy makers, and others about what kinds of testing are effective.
Kohn's central message is that standardized tests are "not a force of nature but a force of politics--and political decisions can be questioned, challenged, and ultimately reversed."
Amplify your assessment literacy. Formative, data-driven, high-stakes—we all know the buzzwords surrounding educational testing. But we often shelve our understanding of these because they are overwhelmingly complex. Those who care about our schools and students—teachers, administrators, policymakers, parents, citizens—will discover how and why testing should be taken upon ourselves to advance. Using a nontechnical approach, this book offers fundamental knowledge to free you from testing fogginess—all framed around practical actions you can take to strengthen your assessment literacy. Inappropriate tests are leading to mistaken decisions, and this book provides everything you need to know to change that, including Reasons for tests Reliability/validity Fairness Test-building
Part devastating expos, part savvy test guide, "None of the Above" demystifies the development of the SAT and offers practical strategies on how to beat the test.
How do you judge the quality of a school, a district, a teacher, a student? By the test scores, of course. Yet for all the talk, what educational tests can and can’t tell you, and how scores can be misunderstood and misused, remains a mystery to most. The complexities of testing are routinely ignored, either because they are unrecognized, or because they may be—well, complicated. Inspired by a popular Harvard course for students without an extensive mathematics background, Measuring Up demystifies educational testing—from MCAS to SAT to WAIS, with all the alphabet soup in between. Bringing statistical terms down to earth, Daniel Koretz takes readers through the most fundamental issues that arise in educational testing and shows how they apply to some of the most controversial issues in education today, from high-stakes testing to special education. He walks readers through everyday examples to show what tests do well, what their limits are, how easily tests and scores can be oversold or misunderstood, and how they can be used sensibly to help discover how much kids have learned.
What if society wasn't fundamentally rational, but was motivated by insanity? This thought sets Jon Ronson on an utterly compelling adventure into the world of madness. Along the way, Jon meets psychopaths, those whose lives have been touched by madness and those whose job it is to diagnose it, including the influential psychologist who developed the Psychopath Test, from whom Jon learns the art of psychopath-spotting. A skill which seemingly reveals that madness could indeed be at the heart of everything . . . Combining Jon Ronson's trademark humour, charm and investigative incision, The Psychopath Test is both entertaining and honest, unearthing dangerous truths and asking serious questions about how we define normality in a world where we are increasingly judged by our maddest edges. 'The belly laughs come thick and fast – my God, he is funny . . . provocative and interesting' – Observer
This book provides an up-to-date review of commonly undertaken methodological and statistical practices that are sustained, in part, upon sound rationale and justification and, in part, upon unfounded lore. Some examples of these "methodological urban legends", as we refer to them in this book, are characterized by manuscript critiques such as: (a) "your self-report measures suffer from common method bias"; (b) "your item-to-subject ratios are too low"; (c) "you can’t generalize these findings to the real world"; or (d) "your effect sizes are too low". Historically, there is a kernel of truth to most of these legends, but in many cases that truth has been long forgotten, ignored or embellished beyond recognition. This book examines several such legends. Each chapter is organized to address: (a) what the legend is that "we (almost) all know to be true"; (b) what the "kernel of truth" is to each legend; (c) what the myths are that have developed around this kernel of truth; and (d) what the state of the practice should be. This book meets an important need for the accumulation and integration of these methodological and statistical practices.