There is a growing need for research within practice settings. Increasing competition for funding requires organizations to demonstrate that the funding they are seeking is going towards effective programming. Additionally, the evidence-based practice movement is generally pushing organizations towards research activities, both as producers and consumers.There have been many books written about research methodology and data analysis in the helping professions, and many books have been written about using R to analyze and present data; however, this book specifically addresses using R to evaluate programs in organizational settings. This book is divided into three sections. The first section addresses background information that is helpful in conducting practice-based research. The second section of the book provides necessary background to begin working with R. Topics include how to download R and RStudio, navigation, R packages, basic R functions, and importing data. This section also introduces The Clinical Record, a freely available database program to help organizations record and track client information. The remainder of the book uses case studies to illustrate how to use R to conduct program evaluations. Techniques include data description and visualization, bivariate analysis, simple and multiple regression, and logistic regression. The final chapter illustrates a comprehensive summary of the skills demonstrated throughout the book using The Clinical Record as a data repository.

Single-subject research designs have been used to build evidence to the effective treatment of problems across various disciplines including social work, psychology, psychiatry, medicine, allied health fields, juvenile justice, and special education. SSD for R serves as a guide for those desiring to conduct single-subject data analysis and introduces readers to the various functions available in SSD for R, a new, free, and innovative software package written in R-the open-source statistical programming language that was written by the book's authors. This second edition of SSD for R is the most comprehensive guide to the numerous graphing and charting functions for conducting robust visual analysis including line graphs and more complex standard deviation lines. This book also contains numerous tests of statistical significance, such as t-tests, chi-squares, and the conservative dual criteria. Auerbach and Zeitlin guide readers through the analytical process based on the characteristics of their data. In addition to presentations and assignments, this new edition contains more examples and illustrations to help readers understand the wide range of functions available in SSD for R and their application to data analysis and interpretation. SSD for R is the only book of its kind to describe single-subject data analysis while providing free statistical software to do so. For more instructional videos, blogs, and a growing community of researchers interested in single-subject designs, visit the authors' website: http://ssdanalysis.com.

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.