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Basic Statistics for the Behavioral and Social Sciences Using R

Wendy Zeitlin and Charles Auerbach

Publication Date - March 2019

ISBN: 9780190620189

288 pages
Paperback
7 x 10 inches

In Stock

Retail Price to Students: $63.00

Description

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.

Features

  • Serves as an easy-to-read resource with clear explanations of topics
  • Takes an incremental approach to teaching statistics to undergraduate and graduate students via Khan Academy® videos and exercises
  • Utilizes R as the statistical package of choice in order to help readers apply what they have learned after completing a course in introductory statistics
  • Features appendices that provide additional support with a review of basic math skills
  • Shares additional instructor resources on a corresponding companion website (i.e., PowerPoint slides for each chapter, suggestions for utilizing Khan Academy® resources in higher education settings, and answers to all chapter-end exercises)

About the Author(s)

Wendy Zeitlin, PhD, LMSW, is Assistant Professor in the Department of Social Work and Child Advocacy at Montclair State University.

Charles Auerbach, PhD, LCSW-R, is Full Professor in the Wurzweiler School of Social Work at Yeshiva University.

Reviews

"Zeitlin and Auerbach completed an excellent introductory statistics textbook. The step-by-step instructions on how to complete basic descriptive and inferential statistics using R are simple to follow and understand. It is also a good book for people who are knowledgeable in Excel and want to find a statistical software program that is compatible with Excel data analysis and interpretations." -- Serge Lee, PhD, Social Work Research Professor, Division of Social Work, California State University, Sacramento

"A free platform on which cutting-edge statistical methods are increasingly implemented, R is the software of the future. It can, however, be daunting for social workers and others in the human services. No more. Zeitlin and Auerbach make it easy-they provide a unique introductory statistics text built around easily understood step-by-step classroom-tested instructions for using R. What is more, they do this in an engaging conversational style and provide a wide range of excellent resources, including video links, datasets relevant to the human services, downloadable R scripts, a glossary, and chapter exercises." -- John G. Orme, PhD, MSW, Professor, College of Social Work, University of Tennessee, Knoxville

Table of Contents

    Chapter 1. Introduction to Basic Statistics for the Behavioral and Social Sciences Using R
    Chapter 2. Descriptive Statistics
    Chapter 3. Probabilities and the Binomial Distribution
    Chapter 4. The Normal Distribution and Standardized Scores
    Chapter 5. Introduction to Inferential Statistics
    Chapter 6. Comparing Samples
    Chapter 7. Non-Parametric Tests of Central Tendency
    Chapter 8. Correlation and Simple Linear Regression
    Chapter 9. Tests of Association
    Chapter 10. Power Analysis

    References
    Appendix A. Additional Resources for Learning R
    Appendix B. Math Review
    Appendix C. Getting Started with R
    Appendix D. Dataset Explanations
    Glossary

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