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.

Statistics for Social and Behavioral Sciences: Linear Models for Optimal Test Design by Wim J. van der Linden

          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.

Student Workbook and Study Guide: Essential Statistics For The Behavioral Sciences by Gary W. Heiman

          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.

Introductory Statistics for the Behavioral Sciences by Barry H. Cohen, Joan Welkowitz, R. Brooke Lea

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.