This second edition of the longtime favorite offers students a refresher course on successful test-taking. Ideal for students who struggle with taking tests, TestWise covers essay, multiple choice, and short answer tests. It include strategies for better note-taking in class, study tim management, when and where to guess on a test, and other tools to improve test skills and encourage success. A workbook that any student can use to improve his or her test-taking abilities!

The engaging Third Edition of Statistics for the Behavioral Sciences shows students that statistics can be understandable, interesting, and relevant to their daily lives. Using a conversational tone, award-winning teacher and author Gregory J. Privitera speaks to the reader as researcher when covering statistical theory, computation, and application. Robust pedagogy allows students to continually check their comprehension and hone their skills when working through carefully developed problems and exercises that include current research and seamless integration of SPSS. This edition will not only prepare students to be lab-ready, but also give them the confidence to use statistics to summarize data and make decisions about behavior.

Written by a quantitative psychologist, this textbook explains complex statistics in accessible language to undergraduates in all branches of the social sciences. Built around the central framework of the General Linear Model (GLM), Statistics for the Social Sciences teaches students how different statistical methods are interrelated to one another. With the GLM as a basis, students with varying levels of background are better equipped to interpret statistics and learn more advanced methods in their later courses. Russell Warne makes statistics relevant to students' varying majors by using fascinating real-life examples from the social sciences. Students who use this book will benefit from clear explanations, warnings against common erroneous beliefs about statistics, and the latest developments in the philosophy, reporting and practice of statistics in the social sciences. The textbook is packed with helpful pedagogical features including learning goals, guided practice and reflection questions.

To learn about software-testing job opportunities and practice with sample scripts on how to automate software applications using Selenium Webdriver, TestNG, JUnit, Cucumber BDD within Eclipse-based Java Projects and build an extensive Data Driven Automation Framework that consists of Screenshot capability, Log4J Integration, XSLT Reporting, Parameterisation, Object Repositories, Excel Sheets–based Data Input/Outputs, Cross Browser Tests using Firefox, Chrome and Internet Explorer, this book is an unmatchable one. You can also enhance tests with Page Object Model, Reuse Selenium IDE scripts to Load Testing using JMeter!

In an era of curricular changes, experiments, and high-stakes testing, educational measurement and evaluation are more important than ever. In addition to expected entries covering the basics of traditional theories and methods, The SAGE Encyclopedia of Educational Research, Measurement, and Evaluation also covers important sociopolitical issues and trends influencing the future of that research and practice. Textbooks, handbooks, monographs, and other publications focus on various aspects of educational research, measurement, and evaluation, but to date, there exists no major reference guide for students new to the field. This comprehensive work fills that gap, covering traditional areas while pointing the way to future developments. Key Features: Nearly 700 signed entries are contained in an authoritative work spanning four volumes and available in electronic and/or print formats. Although organized A-to-Z, front matter includes a Reader’s Guide grouping entries thematically to help students interested in a specific aspect of education research, measurement, and evaluation to more easily locate directly related entries. Back matter includes a Chronology of the development of the field; a Resource Guide to classic books, journals, and associations; and a detailed Index. Entries conclude with Further Readings and cross-references to related entries. The Index, Reader’s Guide themes, and cross-references combine to provide a robust search-and-browse in the electronic version.

Educational assessment, at one time a relatively uncontroversial subject, is now riven by a diversity of views. The most crucial division is between those who continue to believe in the effectiveness of objective assessment techniques and those who favour alternative methods. This book presents an analysis of the strengths, weaknesses and rationales for both.

Provides an in-depth treatment of ANOVA and ANCOVA techniques from a linear model perspective ANOVA and ANCOVA: A GLM Approach provides a contemporary look at the general linear model (GLM) approach to the analysis of variance (ANOVA) of one- and two-factor psychological experiments. With its organized and comprehensive presentation, the book successfully guides readers through conventional statistical concepts and how to interpret them in GLM terms, treating the main single- and multi-factor designs as they relate to ANOVA and ANCOVA. The book begins with a brief history of the separate development of ANOVA and regression analyses, and then goes on to demonstrate how both analyses are incorporated into the understanding of GLMs. This new edition now explains specific and multiple comparisons of experimental conditions before and after the Omnibus ANOVA, and describes the estimation of effect sizes and power analyses leading to the determination of appropriate sample sizes for experiments to be conducted. Topics that have been expanded upon and added include: Discussion of optimal experimental designs Different approaches to carrying out the simple effect analyses and pairwise comparisons with a focus on related and repeated measure analyses The issue of inflated Type 1 error due to multiple hypotheses testing Worked examples of Shaffer's R test, which accommodates logical relations amongst hypotheses ANOVA and ANCOVA: A GLM Approach, Second Edition is an excellent book for courses on linear modeling at the graduate level. It is also a suitable reference for researchers and practitioners in the fields of psychology and the biomedical and social sciences.

To ensure that all students receive quality instruction, Teaching Students with High-Incidence Disabilities prepares preservice teachers to teach students with learning disabilities, emotional behavioral disorders, intellectual disabilities, attention deficit hyperactivity, and high functioning autism. Focusing on research-based instructional strategies, Mary Anne Prater gives explicit instructions and strategies for teaching students with special needs, and includes examples throughout in the form of scripted lesson plans. Real-world classrooms are brought into focus through teacher tips, embedded case studies, and technology spotlights to enhance student learning. The book also emphasizes diversity, with a section in each chapter devoted to exploring how instructional strategies can be modified to accommodate diverse exceptional students.

Articles and books on educational testing written for specialists in the field are often inaccessible to non-specialists, whereas those written for the layperson may oversimplify or omit key concepts and issues. Testwise fills this gap by explaining these ideas at a level that...