
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.
This book investigates how social service organizations can utilize the R programming language to conduct rigorous program evaluations and demonstrate the effectiveness of their services to stakeholders. Authors Charles Auerbach and Wendy Zeitlin, both experienced researchers in the helping professions, provide a practical framework for bridging the gap between clinical practice and data-driven decision-making. By integrating technical instruction with organizational needs, the text aims to equip practitioners with the tools necessary to satisfy increasing demands for evidence-based accountability.
What You Will Find
Scope Limits
Experts highlight this text as a practical resource for professionals in the helping professions who need to transition from manual data tracking to automated statistical analysis. Readers frequently note that the book successfully balances technical R instruction with the specific, real-world constraints of non-profit and clinical organizational settings.
Page Count:
304
Publication Date:
2015-07-02
Publisher:
Oxford University Press
ISBN-10:
0190228083
ISBN-13:
9780190228088
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