Basic Statistics For The Behavioral Sciences

Packed with real-world illustrations and the latest data available, BASIC STATISTICS FOR THE BEHAVIORAL SCIENCES, 7e demystifies and fully explains statistics in a lively, reader-friendly format. The author's clear, patiently crafted explanations with an occasional touch of humor, teach readers not only how to compute an answer but also why they should perform the procedure or what their answer reveals about the data. Offering a conceptual-intuitive approach, this popular book presents statistics within an understandable research context, deals directly and positively with potential weaknesses in mathematics, and introduces new terms and concepts in an integrated way. Available with InfoTrac Student Collections http://gocengage.com/infotrac. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.

Using Basic Statistics in the Behavioral and Social Sciences, Fifth Edition, by Annabel Ness Evans, presents introductory statistics in a practical, conceptual, and humorous way, reducing the anxiety that many students experience in introductory courses. Avoiding complex notation and derivation, the book focuses on helping readers develop an understanding of the underlying logic of statistics. Practical Focus on Research boxes engage students with realistic applications of statistics, and end-of-chapter exercises ensure student comprehension. This exciting new edition includes a greater number of realistic and engaging global examples within the social and behavioral sciences, making it ideal for use within many departments or in interdisciplinary settings.

Ideal for introductory statistics courses at both the undergraduate and graduate levels, Basic Statistics for the Behavioral and Social Sciences Using R is specifically designed to make adoption simple in a variety of disciplines. The text includes topics typically covered in introductory textbooks: probability, descriptive statistics, visualization, comparisons of means, tests of association, correlations, OLS regression, and power analysis. However, it also transcends other books at this level by covering topics such as bootstrapping and an introduction to R, for those who are novices to this powerful tool. In a straightforward and easy-to-understand format, the authors provide readers with a plethora of freely available and robust resources and examples that are applicable to a wide variety of behavioral and social science disciplines, including social work, psychology, and physical and occupational therapy. The book is a must-read for all professors and students endeavoring to learn basic statistics.

Though briefer than Statistical Methods for Educational and Psychology, Third Edition, the approach of BSBS-III is the same: conceptual rather than mathematical. The authors stress the understanding, applications, and interpretation of concepts rather than derivation and proof or hand-computation.

Now your students can become intelligent consumers of scientific research, without being overwhelmed by the statistics! Jaccard and Becker's text teaches students the basic skills for analyzing data and helps them become intelligent consumers of scientific information. Praised for its real-life applications, the text tells students when to use a particular statistic, why they should use it, and how the statistic should be computed and interpreted. Because many students, given a set of data, cannot determine where to begin in answering relevant research questions, the authors explicate the issues involved in selecting a statistical test. Each statistical technique is introduced by giving instances where the test is most typically applied followed by an interesting research example (each example is taken from psychology literature). Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.

Meant for a first course in Statistics offered to students in Education, Psychology, and other Behavioral Sciences. Written by one of the most recognizable names in the discipline, Basic Statistic for the Behavioral Sciences discusses statistics in the context of educational and psychological research, making a typically abstract subject more meaningful to readers. The text helps readers develop a conceptual understanding of statistics, above and beyond computation, by providing numerous real-life examples and ample opportunities for students to check, review, and apply their learning..

Using Basic Statistics in the Behavioral and Social Sciences, Fifth Edition, by Annabel Ness Evans, presents introductory statistics in a practical, conceptual, and humorous way, reducing the anxiety that many students experience in introductory courses. Avoiding complex notation and derivation, the book focuses on helping readers develop an understanding of the underlying logic of statistics. Practical Focus on Research boxes engage students with realistic applications of statistics, and end-of-chapter exercises ensure student comprehension. This exciting new edition includes a greater number of realistic and engaging global examples within the social and behavioral sciences, making it ideal for use within many departments or in interdisciplinary settings.

Each statistical procedure in this text is presented in a conceptual, intuitive manner to illustrate how it fills a need in the process. Students anxious about math will benefit from a scaled back emphasis on the discipline, plain language, and a step-by-step approach that reintroduces, reviews, and reinforces procedures. In addition, references to psychology have been reduced to make the text more inclusive of all behavioral sciences. The text has been revised to streamline the narrative without reducing content, make presentations more concise, and add more explanatory techniques. Nearly all examples include specific variables and questions rather than generic data, and most are taken from everyday life so that students gain an intuitive feel for the meaning of scores and develop an ability to think in statistical terms.

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.

A 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

Written for students studying in a variety of social science areas, not solely the psychology student, this book is designed to give each student a conceptual understanding of the basic statistical procedures used in behavioral sciences.

Emphasizing concepts over raw mathematics, this introductory textbook covers the fundamentals of statistics (especially as they apply to the social sciences). Chapters address topics like frequency distribution, central tendency, variability, z -scores, probability, hypothesis testing, the t test, e.

Ideal for introductory statistics courses at both the undergraduate and graduate levels, Basic Statistics for the Behavioral and Social Sciences Using R is specifically designed to make adoption simple in a variety of disciplines. The text includes topics typically covered in introductory textbooks: probability, descriptive statistics, visualization, comparisons of means, tests of association, correlations, OLS regression, and power analysis. However, it also transcends other books at this level by covering topics such as bootstrapping and an introduction to R, for those who are novices to this powerful tool. In a straightforward and easy-to-understand format, the authors provide readers with a plethora of freely available and robust resources and examples that are applicable to a wide variety of behavioral and social science disciplines, including social work, psychology, and physical and occupational therapy. The book is a must-read for all professors and students endeavoring to learn basic statistics.