Beyond Testing

Beyond Testing describes seven forms of assessment that are more effective than standardized test results. These assessments are more honest about what we can and cannot know about childrens knowledge, skills, and dispositions. Readers can compare and contrast each approach to determine which is most appropriate for their school.

Test scores are the go-to metric of policy makers and anxious parents looking to place their children in the best schools. Yet standardized tests are a poor way to measure school performance. Using the diverse urban school district of Somerville MA as a case study, Jack Schneider’s team developed a new framework to assess educational effectiveness.

It is an exceptionally thoughtful assessment of assessment, and I am (along with anyone else who broods about education) much in your debt. Jerome Bruner, personal communication with the authorWhen this award-winning book was originally published in 1994, a review in the TES said: Beyond Testing is a refreshingly honest look at the dilemmas faci

The authors of this timely book argue that a fundamentally complex problem—how to assess the knowledge of a child—cannot be reduced to a simple test score. Beyond Testing describes seven forms of assessment that are more effective than standardized test results: (1) student self-assessments, (2) direct teacher observations of students and their work, (3) descriptive reviews of the child, (4) reading and math interviews with children, (5) portfolios and public defense of student work, (6) school reviews and observations by outside professionals, and (7) school boards and town meetings. These assessments are more honest about what we can and cannot know about children’s knowledge, skills, and dispositions, and are more adaptable to varying educational missions. Readers can compare and contrast each approach and make informed decisions about what is most appropriate for their school. “Many people have wondered,‘If not standardized testing, then what?’ Here are the answers.” —Diane Ravitch, New York University “This is a terrific introduction to alternatives to current assessment practices. Highly recommended!” —David C. Berliner, Regent's Professor Emeritus at Arizona State University and bestselling author “All parents, educators, and politicians need to read this book.” —Wayne Au, editor, Rethinking Schools “Beyond Testing is an outstanding book that should be employed by teachers and administrators today.” —Carl A. Grant, University of Wisconsin–Madison

Mounting failures of replication in social and biological sciences give a new urgency to critically appraising proposed reforms. This book pulls back the cover on disagreements between experts charged with restoring integrity to science. It denies two pervasive views of the role of probability in inference: to assign degrees of belief, and to control error rates in a long run. If statistical consumers are unaware of assumptions behind rival evidence reforms, they can't scrutinize the consequences that affect them (in personalized medicine, psychology, etc.). The book sets sail with a simple tool: if little has been done to rule out flaws in inferring a claim, then it has not passed a severe test. Many methods advocated by data experts do not stand up to severe scrutiny and are in tension with successful strategies for blocking or accounting for cherry picking and selective reporting. Through a series of excursions and exhibits, the philosophy and history of inductive inference come alive. Philosophical tools are put to work to solve problems about science and pseudoscience, induction and falsification.

Assessment has been developing at a rapid rate during the 1990s, and issues surrounding this development have been examined and re-thought by various key researchers. Examination of the technical issues of the effect of assessment on curriculum and teaching, and the relationship with learning criterion and teacher and performance assessment is provided in this book. By drawing together analyses, it offers a framework for educational assessment.

Providing detailed illustrations using cases from pioneering schools around the globe at both the primary and secondary level, this book demonstrates how a relational orientation to evaluation in education can enhance learning processes, foster students' engagement and vitality relationships, and elevate the evaluation of teaching and the school as a whole.

Traditional education in statistics that emphasises significance testing leaves researchers and students ill prepared to understand what their results really mean. Specifically, most researchers and students who do not have strong quantitative backgrounds have difficulty understanding outcomes of statistical tests. As more and more people become aware of this problem, the emphasis on statistical significance in the reporting of results is declining. Increasingly, researchers are expected to describe the magnitudes and precisions of their findings and also their practical, theoretical, or clinical significance. This accessibly written book reviews the controversy about significance testing, which has now crossed various disciplines as diverse as psychology, ecology, commerce, education, and biology, among others. It also introduces readers to alternative methods, especially effect size estimation (at both the group and case levels) and interval estimation (confidence intervals) in comparative studies. Basics of bootstrapping and Bayesian estimation are also considered. Research examples from substance abuse, education, learning, and other areas illustrate how to apply these methods. A companion website promotes learning by providing chapter exercises and sample answers, downloadable raw data files for many research examples, and links to other useful websites. New to this edition is coverage of robust statistical methods for parameter estimation, effect size estimation, and interval estimation. A new chapter covers the logic and illogic of significance testing. This edition also addresses recent developments such as the new requirements of some journals for the reporting of effect sizes.

This text addresses the problem of the overuse of standardized testing. It argues that so-called test-based reform has given rise to the "cram curriculum" and turned schools into test-prep centres. Overlooked are teachers, who observe students, and are the primary source of information on learning.