Introductory Statistics for the Behavioral Sciences by Barry H. Cohen; R. Brooke Lea; Joan WelkowitzA comprehensive and user-friendly introduction to statistics forbehavioral science students--revised and updated Refined over seven editions by master teachers, this book givesinstructors and students alike clear examples and carefully craftedexercises to support the teaching and learning of statistics forboth manipulating and consuming data. One of the most popular and respected statistics texts in thebehavioral sciences, the Seventh Edition of Introductory Statisticsfor the Behavioral Sciences has been fully revised. The new editionpresents all the topics students in the behavioral sciences need ina uniquely accessible and easy-to-understand format, aiding in thecomprehension and implementation of the statistical analyses mostcommonly used in the behavioral sciences. The Seventh Edition features: A continuous narrative that clearly explains statistics whiletracking a common data set throughout, making the conceptsunintimidating and memorable, and providing a framework thatconnects all of the topics and allows for easy comparison ofdifferent statistical analyses Coverage of important aspects of research design throughout thetext, such as the "correlation is not causality" principle Updated and annotated SPSS output at the end of each chapterwith step-by-step instructions Updated examples and exercises An expanded website, at www.wiley.com/go/welkowitz, with testbank, chapter quizzes, and PowerPoint slides for instructors, aswell as a second website for students with additional basic mathcoverage, math review exercises, a study guide, a set of additionalSPSS exercises, and more downloadable data sets
Publication Date: 2011-12-06
Statistics in Psychology by Michael CowlesThis book presents an historical overview of the field--from its development to the present--at an accessible mathematical level. This edition features two new chapters--one on factor analysis and the other on the rise of ANOVA usage in psychological research. Written for psychology, as well as other social science students, this book introduces the major personalities and their roles in the development of the field. It provides insight into the disciplines of statistics and experimental design through the examination of the character of its founders and the nature of their views, which were sometimes personal and ideological, rather than objective and scientific. It motivates further study by illustrating the human component of this field, adding dimension to an area that is typically very technical. Intended for advanced undergraduate and/or graduate students in psychology and other social sciences, this book will also be of interest to instructors and/or researchers interested in the origins of this omnipresent discipline.
Publication Date: 2005-04-11
Understanding Statistics in the Behavioral Sciences by Roger Bakeman; Byron F. RobinsonUnderstanding Statistics in the Behavioral Sciencesis 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 Sciencesfeatures:*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 symbolsare 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.