This volume provides in-depth coverage of a key piece of today's human resource selection technology--the viability of alternatives to paper and pencil multiple-choice selection tests. Each chapter of this edited volume presents an intensive examination of a key "alternative to multiple-choice testing." The content of the book's chapters ranges from reviews of issues associated with, and evidence available for, the use of particular selection text alternatives (computerized testing, performance assessments) to empirical investigation of other alternatives (biodata, creative skills); from examination of standards for choosing among selection tests to practitioners' and test takers' perspectives. This book is important for researchers and practitioners in the human resource selection field who have wanted a resource that provides a comprehensive examination of multiple-choice selection testing and its alternatives.

"How might we might help teachers use classroom assessments to gather appropriate evidence for all valued learning goals? How might our classroom assessments serve to promote learning, not just measure it? This book addresses these questions by offering a practical and proven Assessment Planning Framework. The Framework examines four different types of learning goals, considers various purposes and audiences for assessment, reviews five categories of assessment methods, and presents options for communicating results. This updated edition addresses the assessment of academic standards as well as transdisciplinary outcomes (e.g., 21st century skills), and describes the principles and practices underlying standards-based grading"--

Karen Tankersley examines the various types of questions that routinely appear on national and state assessments and offers guidelines on how to create daily lessons that encourage students to practice the skills and demonstrate the knowledge they'll need to use on high-stakes tests.

Beyond Multiple Linear Regression: Applied Generalized Linear Models and Multilevel Models in R is designed for undergraduate students who have successfully completed a multiple linear regression course, helping them develop an expanded modeling toolkit that includes non-normal responses and correlated structure. Even though there is no mathematical prerequisite, the authors still introduce fairly sophisticated topics such as likelihood theory, zero-inflated Poisson, and parametric bootstrapping in an intuitive and applied manner. The case studies and exercises feature real data and real research questions; thus, most of the data in the textbook comes from collaborative research conducted by the authors and their students, or from student projects. Every chapter features a variety of conceptual exercises, guided exercises, and open-ended exercises using real data. After working through this material, students will develop an expanded toolkit and a greater appreciation for the wider world of data and statistical modeling. A solutions manual for all exercises is available to qualified instructors at the book’s website at www.routledge.com, and data sets and Rmd files for all case studies and exercises are available at the authors’ GitHub repo (https://github.com/proback/BeyondMLR)

A "brilliant, innovative, beautiful" (The Guardian) book from the acclaimed author of Chilean Poet "Dazzling . . . a work of parody, but also of poetry." —The New York Times Book Review NAMED ONE OF THE BEST BOOKS OF THE YEAR BY NPR, THE GUARDIAN, AND THE IRISH TIMES “Latin America’s new literary star” (The New Yorker), Alejandro Zambra is celebrated around the world for his strikingly original, slyly funny, daringly unconventional fiction. Now, at the height of his powers, Zambra returns with his most audaciously brilliant book yet. Written in the form of a standardized test, Multiple Choice invites the reader to respond to virtuoso language exercises and short narrative passages through multiple-choice questions that are thought-provoking, usually unanswerable, and often absurd. It offers a new kind of reading experience, one in which the reader participates directly in the creation of meaning, and the nature of storytelling itself is called into question. At once funny, poignant, and political, Multiple Choice is about love and family, authoritarianism and its legacies, and the conviction that, rather than learning to think for ourselves, we are trained to obey and repeat. Serious in its literary ambition and playful in its execution, it confirms Alejandro Zambra as one of the most important writers working in any language. NAMED A BEST BOOK OF THE SUMMER BY THE WALL STREET JOURNAL, ELLE, THE HUFFINGTON POST, THE MILLIONS, VOX, LIT HUB, THE BBC, THE GUARDIAN AND PUREWOW

When it comes to sizing up America’s public schools, test scores are the go-to metric of state policy makers and anxious parents looking to place their children in the “best” schools. Yet ample research indicates that standardized tests are a poor way to measure a school’s performance. It is time—indeed past time—to rethink this system, Jack Schneider says. Beyond Test Scores reframes current debates over school quality by offering new approaches to educational data that can push us past our unproductive fixation on test scores. Using the highly diverse urban school district of Somerville, Massachusetts, as a case study, Schneider and his research team developed a new framework to more fairly and comprehensively assess educational effectiveness. And by adopting a wide range of measures aligned with that framework, they were able to more accurately capture a broader array of school strengths and weaknesses. Their new data not only provided parents, educators, and administrators with a clearer picture of school performance, but also challenged misconceptions about what makes a good school. With better data, Schneider shows, stakeholders at the federal, state, and local levels can undo the damage of present accountability systems and build greater capacity in our schools. Policy makers, administrators, and school leaders can better identify where assistance is needed. Educators can engage in more evidence-based decision making. And parents can make better-informed choices for their children. Perhaps most importantly, better data can facilitate communication among all these groups, allowing them to take collective action toward shared, concrete goals.

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.