Understanding Statistics in the Behavioral Sciences is designed to help readers understand research reports, analyze data, and familiarize themselves with the conceptual underpinnings of statistical analyses used in behavioral science literature. The authors review statistics in a way that is intended to reduce anxiety for students who feel intimidated by statistics. Conceptual underpinnings and practical applications are stressed, whereas algebraic derivations and complex formulas are reduced. New ideas are presented in the context of a few recurring examples, which allows readers to focus more on the new statistical concepts than on the details of different studies. The authors' selection and organization of topics is slightly different from the ordinary introductory textbook. It is motivated by the needs of a behavioral science student, or someone in clinical practice, rather than by formal, mathematical properties. The book begins with hypothesis testing and then considers how hypothesis testing is used in conjunction with statistical designs and tests to answer research questions. In addition, this book treats analysis of variance as another application of multiple regression. With this integrated, unified approach, students simultaneously learn about multiple regression and how to analyze data associated with basic analysis of variance and covariance designs. Students confront fewer topics but those they do encounter possess considerable more power, generality, and practical importance. This integrated approach helps to simplify topics that often cause confusion. Understanding Statistics in the Behavioral Sciences features:*Computer-based exercises, many of which rely on spreadsheets, help the reader perform statistical analyses and compare and verify the results using either SPSS or SAS. These exercises also provide an opportunity to explore definitional formulas by altering raw data or terms within a formula and immediately see the consequences thus providing a deeper understanding of the basic concepts. *Key terms and symbols are boxed when first introduced and repeated in a glossary to make them easier to find at review time. *Numerous tables and graphs, including spreadsheet printouts and figures, help students visualize the most critical concepts. This book is intended as a text for introductory behavioral science statistics. It will appeal to instructors who want a relatively brief text. The book's active approach to learning, works well both in the classroom and for individual self-study.
One of the hallmarks of this text is the positive feedback from users even those not mathematically inclined praise the text for its clarity, detailed presentation, and use of humor to help make concepts accessible and memorable.
This statistics text for social/behavioral science students focuses on making statistics mathematically unintimidating (single subscript notation throughout).
This book is designed for advanced undergraduate and beginning graduate students, as well as for active and productive researchers who want to enhance their grasp of standard social science statistics....
William C. Follett, Robert R. Pagano. UNDERSTANDING STATISTICS IN THE BEHAVIORAL SCIENCES FOURTH EDITION ROBERT R. PAGANO PREPARED BY WILLIAM C. FOLLETTE ROBERT R. PAGANO Study Guide to Accompany UNDERSTANDING STATISTICS IN THE ...
Understanding Statistics in the Behavioral Sciences
Understanding Statistics in the Behavioral Sciences: Instructor's Manual with Test Bank
By integrating instructions, screenshots, and practical examples for using IBM SPSSĀ® Statistics software, the book makes it easy for students to learn statistical concepts within each chapter.
Featuring accessible writing and well-integrated research examples, the book gives students a greater understanding of how research studies are conceived, conducted, and communicated.
Statistics for the Behavioral Sciences
This accessible guide covers basic to advanced concepts in a clear, concrete, and readable style. Essentials of Statistics for the Social and Behavioral Sciences guides you to a better understanding of basic concepts of statistical methods.