Understanding Statistics In The Behavioral Sciences

Based on over 30 years of successful teaching experience in this course, Robert Pagano's introductory text takes an intuitive, concepts-based approach to descriptive and inferential statistics. He uses the sign test to introduce inferential statistics, empirically derived sampling distributions, many visual aids, and lots of interesting examples to promote student understanding. One of the hallmarks of this text is the positive feedback from students - even students who are not mathematically inclined praise the text for its clarity, detailed presentation, and use of humor to help make concepts accessible and memorable. Thorough explanations precede the introduction of every formula, and the exercises that immediately follow include a step-by-step model that lets students compare their work against fully solved examples. This combination makes the text perfect for students taking their first statistics course in psychology or other social and behavioral sciences.

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.

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. Topics covered include hypothesis testing, type I and II errors, simple and multiple correlation and regression, categorical variables coding, assessment of both statistical significance and the magnitude of effects, standard experimental designs, analysis of covariance, and power analysis. Both between- and within-subjects designs and their associated post-hoc tests are presented. The core of Understanding Social Science Statisticsis a series of exercises performed on a microcomputer using a spreadsheet program (like LOTUS 1-2-3) which is included with the book. The program allows for quick, hands-on analysis of realistic data using conceptually meaningful computations. As readers complete the exercises in this book they accumulate a set of spreadsheet templates that can be used with any appropriate data, creating, in effect, their own personal statistical package. Excellent for use in the classroom or as a self-study guide, this text is intended to entice the sort of student who is otherwise intimidated by statistics. The level of presentation is simple and straightforward; conceptual underpinnings and practical applications are stressed, whereas algebraic derivations and complex formulaic manipulations are avoided; and new material and ideas are presented in the context of concrete, running examples. This volume emphasizes basic statistical literacy. The level of presentation is straightforward and intended to entice the sort of student who otherwise feels intimidated by statistics. A series of integrated exercises (using a standard spreadsheet program) make it especially useful as a self-study guide for those who want to improve their statistical understanding while working at their own pace. Note: 5 1/4" disk accompanying this volume is designed and distributed for, and may only be used on, IBM PCs, XTs, ATs, and PS/2s or compatibles running MS DOS 2.0 or above.

Statistical Power Analysis is a nontechnical guide to power analysis in research planning that provides users of applied statistics with the tools they need for more effective analysis. The Second Edition includes: * a chapter covering power analysis in set correlation and multivariate methods; * a chapter considering effect size, psychometric reliability, and the efficacy of "qualifying" dependent variables and; * expanded power and sample size tables for multiple regression/correlation.

This open access textbook provides the background needed to correctly use, interpret and understand statistics and statistical data in diverse settings. Part I makes key concepts in statistics readily clear. Parts I and II give an overview of the most common tests (t-test, ANOVA, correlations) and work out their statistical principles. Part III provides insight into meta-statistics (statistics of statistics) and demonstrates why experiments often do not replicate. Finally, the textbook shows how complex statistics can be avoided by using clever experimental design. Both non-scientists and students in Biology, Biomedicine and Engineering will benefit from the book by learning the statistical basis of scientific claims and by discovering ways to evaluate the quality of scientific reports in academic journals and news outlets.

Fundamental Statistics for the Social and Behavioral Sciences, Second Edition, places statistics within the research process, illustrating how they are used to answer questions and test ideas. Students learn not only how to calculate statistics, but also how to interpret and communicate the results of statistical analyses in light of a study’s research hypothesis. Featuring accessible writing and well-integrated research examples, the book gives students a greater understanding of how research studies are conceived, conducted, and communicated. The Second Edition includes a new chapter on regression; covers how collected data can be organized, presented and summarized; the process of conducting statistical analyses to test research questions, hypotheses, and issues/controversies; and examines statistical procedures used in research situations that vary in the number of independent variables in the study. Every chapter includes learning checks, such as review questions and summary boxes, to reinforce the content students just learned, and exercises at the end of every chapter help assess their knowledge. Also new to the Second Edition -- animated video tutorials!

This statistics text for social/behavioral science students focuses on making statistics mathematically unintimidating (single subscript notation throughout). Topics are introduced and discussed in conjunction with exciting, contemporary, real-world examples. Includes ample practice problemsQall completely solved.