Statistics For The Behavioral Sciences Books

A Practical Introduction: Modern Statistics for the Social and Behavioral Sciences by Rand Wilcox

In addition to learning how to apply classic statistical methods, students need to understand when these methods perform well, and when and why they can be highly unsatisfactory. Modern Statistics for the Social and Behavioral Sciences illustrates how to use R to apply both standard and modern methods to correct known problems with classic techniques. Numerous illustrations provide a conceptual basis for understanding why practical problems with classic methods were missed for so many years, and why modern techniques have practical value.

Applied Multiple Regression/Correlation Analysis for the Behavioral Sciences by Jacob Cohen, Patricia Cohen, Stephen G. West, Leona S. Aiken

This classic text on multiple regression is noted for its nonmathematical, applied, and data-analytic approach. Readers profit from its verbal-conceptual exposition and frequent use of examples.

A Conceptual Approach: Essential Statistics for the Social and Behavioral Sciences by Anthony Walsh, Jane C. Ollenburger

This book helps readers become intelligent consumers of the social/behavioral science literature and familiarizes them with the fundamental tools of research. It features a conceptual, intuitive approach that is less math-oriented (e.g., not cluttered with all sorts of sub-and superscripts, and not concerned with mathematical derivatives of the various statistics), and that clearly shows the continuity and interrelatedness of the techniques discussed. After the necessary concepts have been explained and the calculations have been performed for each statistic, the text walks readers through a line-by-line explanation of a computer printout (based on actual data) containing that statistic. "Practice Applications" provide research examples with step-by-step solutions to all statistical procedures. Describing Data. Central Tendency and Dispersion. Probability and the Normal Curve. The Sampling Distribution and Estimation Procedures. Hypothesis Testing: Interval/Ratio Data. Analysis of Variance. Hypothesis Testing with Categorical Data: Chi-Square. Measures of Association with Nominal and Ordinal Data. Elaboration and Causal Analysis. Bivariate Correlation and Regression. Multivariate Correlation and Regression. For anyone in the social/behavioral sciences who needs an accessible introduction to statistics.

Wim van der Linden was just given a lifetime achievement award by the National Council on Measurement in Education. There is no one more prominent in the area of educational testing. There are hundreds of computer-based credentialing exams in areas such as accounting, real estate, nursing, and securities, as well as the well-known admissions exams for college, graduate school, medical school, and law school - there is great need on the theory of testing. This book presents the statistical theory and practice behind constructing good tests e.g., how is the first test item selected, how are the next items selected, and when do you have enough items.

Interactive Statistics for the Behavioral Sciences Book by Pepper Williams

Interactive Statistics for the Behavioral Sciences is an engaging tour of the topics covered in most behavioral science statistics textbooks: descriptive statistics, the logic of hypothesis testing, t tests, power analysis, confidence intervals, analysis of variance, correlation/regression, and nonparametric inferential statistics. Yet, it employs a radically different pedagogical approach.

Basic Statistics For The Behavioral Sciences Book by Gary W. Heiman

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.

This text uses the same conceptual, intuitive approach of Basic Statistics for the Behavioral Sciences, but eliminates extensive reference material and advanced or obscure statistical methods. Essentials presents only the procedures undergraduates need for reading research literature and conducting their own studies. New terms are integrated with more difficult concepts in an accessible, non-threatening format that provides concise explanations, creating a foundation and making further elaboration easier to understand.

A Brief Course: Statistics for The Behavioral and Social Sciences,5th Edition by Arthur Aron, Elaine N. Aron, Elliot Coups

For one-quarter/semester courses that focus on the basics in statistics or combine statistics with research methods.

The fifth edition of Statistics for the Behavioral and Social Sciences builds off an already well-established approach - emphasizing the intuitive, deemphasizing the mathematical, and explaining everything in direct, simple language - but also goes beyond these principles to further student understanding. By using definitional formulas to emphasize the concepts of statistics, rather than rote memorization, students work problems in a way that keeps them constantly aware of the underlying logic of what they are doing.

Statistics for the Behavioral Sciences Book by Susan Nolan, Thomas Heinzen

Clearly written, this text makes statistics accessible to students by applying theoretical techniques to wide-ranging examples. Focusing on research design and statistical analysis, the revised second edition makes graphs easy to understand and offers guidelines on how to report results.

A comprehensive and user-friendly introduction to statistics for behavioral science students—revised and updated

Refined over seven editions by master teachers, this book gives instructors and students alike clear examples and carefully crafted exercises to support the teaching and learning of statistics for both manipulating and consuming data.

One of the most popular and respected statistics texts in the behavioral sciences, the Seventh Edition of Introductory Statistics for the Behavioral Sciences has been fully revised. The new edition presents all the topics students in the behavioral sciences need in a uniquely accessible and easy-to-understand format, aiding in the comprehension and implementation of the statistical analyses most commonly used in the behavioral sciences.

Revised and closely integrated with the text, this resource includes (in each chapter) a review of objectives, terms, and formulas; a programmed review; conceptual and computational problems (with answers); and a set of multiple-choice questions similar to those in the Instructor's Resource Manual. A final chapter called "Getting Ready for the Final Exam" facilitates student integration of the entire course. The workbook can be ordered separately or shrink-wrapped with the textbook to form a package.

Statistics for the Behavioral Sciences by James Jaccard, Michael A. Becker

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.

Applied Statistics for the Behavioral Sciences by Dennis E. Hinkle, William Wiersma, Stephen G. Jurs

This introductory text provides students with a conceptual understanding of basic statistical procedures, as well as the computational skills needed to complete them. The clear presentation, accessible language, and step-by-step instruction make it easy for students from a variety of social science disciplines to grasp the material.

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.

Essentials of Statistics for the Behavioral Sciences by Susan Nolan, Thomas Heinzen

Essentials of Statistics for the Behavioral Sciences by Susan Nolan and Thomas Heinzen is a concise, readable text that covers key statistical concepts. Exploring its wide variety of creative, step-by-step examples, students using Essentials will learn how to choose the appropriate statistical test, understand its conceptual significance, and calculate each statistic. With inviting examples using real-world data, the text teaches students to apply concepts and formulas to statistical questions that they will encounter in their academic lives and outside the classroom.

Statistics for the Behavioral Sciences Book by Michael Thorne, Martin Giesen

This introductory statistics text presents a range of topics, from simple to sophisticated, in clear, logical language with relevant research examples that motivates students so they always understand why they are learning the material and its relationship to their further work in the field.

Statistics for the Behavioral Sciences is an introduction to statistics text that will engage students in an ongoing spirit of discovery by illustrating how statistics apply to modern-day research problems. By integrating instructions, screenshots, and practical examples for using IBM SPSS® Statistics software, the book makes it easy for students to learn statistical concepts within each chapter. Gregory J. Privitera takes a user-friendly approach while balancing statistical theory, computation, and application with the technical instruction needed for students to succeed in the modern era of data collection, analysis, and statistical interpretation.

David Howell's practical approach focuses on the context of statistics in behavioral research, with an emphasis on looking before leaping; investigating the data before jumping into a test. This provides you with an understanding of the logic behind the statistics: why and how certain methods are used rather than just doing techniques by rote. Learn faster and understand more because Howell's texts moves you beyond number crunching, allowing you to discover the meaning of statistical results and how they relate to the research questions being asked.

Fundamental Statistics for Behavioral Sciences, 8th Edition by Robert B. McCall

This eighth edition of McCall's well-respected book continues to present concepts in a way that students can easily understand. The new edition has been updated throughout and now includes recommendations by the APA Task Force on Statistical Inference. As in previous editions, McCall helps students see the many real applications of statistics to research in the behavioral sciences.

This brief version of Gravetter and Wallnau's proven bestseller offers the straightforward instruction, accuracy, built-in learning aids, and wealth of real-world examples that professors and students have come to appreciate. The authors take time to explain statistical procedures so that students can go beyond memorizing formulas and begin gaining a conceptual understanding of statistics.

The best-selling introduction to statistics for students in the behavioral and social sciences, this text continues to offer straightforward instruction, accuracy, built-in learning aids, and real-world examples. The goal of STATISTICS FOR THE BEHAVIORAL SCIENCES, 9th Edition is to not only teach the methods of statistics, but also to convey the basic principles of objectivity and logic that are essential for science and valuable in everyday life. Authors Frederick Gravetter and Larry Wallnau help students understand statistical procedures through a conceptual context that explains why the procedures were developed and when they should be used. Students have numerous opportunities to practice statistical techniques through learning checks, examples, step-by-step demonstrations, and problems.

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