Now in its Seventh Edition, Neil J. Salkind's bestselling Statistics for People Who (Think They) Hate Statistics with new co-author Bruce B. Frey teaches an often intimidating subject with a humorous, personable, and informative approach that reduces statistics anxiety. With instruction in SPSS(R), the authors guide students through basic and advanced statistical procedures, from correlation and graph creation to analysis of variance, regression, non-parametric tests, and more. The Seventh Edition includes new real-world examples, additional coverage on multiple regression and power and effect size, and a robust interactive eBook with video tutorials and animations of key concepts. In the end, students who (think they) hate statistics will understand how to explain the results of many statistical analyses and won't be intimidated by basic statistical tasks.

This Fifth Edition of Neil J. Salkind's Statistics for People Who (Think They) Hate Statistics: Using Microsoft Excel, presents an often intimidating and difficult subject in a way that is clear, informative, and personable. Opening with an introduction to Excel, including coverage of how to use functions and formulas, this edition shows students how to install the Excel Data Analysis Tools option to access a host of useful analytical techniques. New to the Fifth Edition is new co-author Bruce Frey who has added a new feature on statisticians throughout history (with a focus on the contributions of women and people of color). He has updated the "Real-World Stats" feature, and added more on effect sizes, updated the discussions on hypotheses, measurement concepts like validity and reliability, and has more closely tied analytical choices to the level of measurement of variables.

Modern Classroom Assessment offers an applied, student- centered guide to the major research-based approaches to assessment in today's modern classroom. Rather than simply list basic assessment formats with a few examples, as many textbooks do, award-winning professor and scholar Bruce Frey's book fully explores all five key approaches for teacher-designed assessment-Traditional Paper-and-Pencil, Performance-Based Assessment, Formative Assessment, Universal Test Design, and Authentic Assessment -while making abstract concepts and guidelines clear with hundreds of real-world illustrations and examples of what actual teachers do. Offering a variety of engaging learning tools and realistic stories from the classroom, this text will give any reader a strong foundation for designing modern assessments in their own classrooms.

With a signature, conversational writing style and straightforward presentation, Neil J. Salkind's best-selling Tests & Measurement for People Who (Think They) Hate Tests & Measurement guides readers through an overview of categories of tests, the design of tests, the use of tests, and some of the basic social, political, and legal issues that the process of testing involves. New co-author Bruce B. Frey has streamlined the table of contents for ease of use; added more content on validity and reliability throughout; more closely connected standardized tests to classroom instruction, adding more on classroom assessment; and added a chapter on surveys and scale development. An instructor website includes a test bank and PowerPoint slides.

This Study Guide for introductory statistics courses in health and nursing departments is designed to accompany Salkind and Frey's Statistics for People Who (Think They) Hate Statistics, Seventh Edition. Extra exercises; activities; and true/false, multiple choice, and essay questions (with answers to all questions) feature health-specific content to help further student mastery of text concepts. Also included on the open-access study site at edge.sagepub.com/salkindfrey7e are SPSS datafiles containing survey data from health students, which are used for the exercises in the Study Guide. Data were generated for instruction purposes, and topics cover a range of health-related questions that are pertinent to health students, including the number of hours spent exercising per week, smoking status, number of hours slept per week, number of alcoholic beverages consumed per week, and sources of worry. The database includes 22 variables.

The SAGE Encyclopedia of Research Design maps out how one makes decisions about research design, interprets data, and draws valid inferences, undertakes research projects in an ethical manner, and evaluates experimental design strategies and results. From A-to-Z, this four-volume work covers the spectrum of research design strategies and topics including, among other things: fundamental research design principles, ethics in the research process, quantitative versus qualitative and mixed-method designs, completely randomized designs, multiple comparison tests, diagnosing agreement between data and models, fundamental assumptions in analysis of variance, factorial treatment designs, complete and incomplete block designs, Latin square and related designs, hierarchical designs, response surface designs, split-plot designs, repeated measures designs, crossover designs, analysis of covariance, statistical software packages, and much more. Research design, with its statistical underpinnings, can be especially daunting for students and novice researchers.  At its heart, research design might be described simply as a formalized approach toward problem solving, thinking, and acquiring knowledge, the success of which depends upon clearly defined objectives and appropriate choice of statistical design and analysis to meet those objectives. The SAGE Encyclopedia of Research Design will assist students and researchers with their work while providing vital information on research strategies.

This Study Guide for introductory statistics courses in education departments is designed to accompany Neil J. Salkind and Bruce B. Frey's best-selling Statistics for People Who (Think They) Hate Statistics, Seventh Edition. Extra exercises; activities; and true/false, multiple choice, and essay questions (with answers to all questions) feature education-specific content to help further student mastery of text concepts. A dataset is provided for use with the book.

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.

Bruce Frey's There's a Stat for That! is a brief, straightforward, and to-the-point guide to deciding which statistical analysis to use and when to use it. Designed for consultants, researchers, students, and those who already have the resources to tell them how to perform the analyses, this text explains why a particular statistical approach is the right one to use. The book affirms that regardless of the group design, once the variables are chosen and the measurement strategy is worked out, one can rest assured that there is a stat for that!