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.
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This book introduces readers to R, a freely available statistical language, to conduct program evaluations. The book uses case studies to illustrate techniques that include data description and visualization, bivariate analysis, simple and multiple regression, and logistic regression.
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Contents ; 1 - Introduction to Program Evaluation in Social Service Agencies ; 2 - Issues in Program Evaluation ; 3 - Getting Started With R ; 4 - Getting Your Data Into R ; 5 - Basic Graphics with R ; 6- Making Your Case By Describing Your Data ; 7- Making Your Case By Looking at Factors Related to A Desired Outcome ; 8 - Making Your Case Using Linear Regression with R ; 9 - Making Your Case Using Logistic Regresion with R ; 10 - Bringing It All Together: Using the Clinical Record to Evaluate a Program ; Appendix A - Resources for Research Methods ; Appendix B - Terminology Used in This Book ; Appendix C - R Packages Referred to in This Book ; Appendix D - Clinical Record/Filemaker Field Names ; References ; Index ; R Functions Index
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Selling point: Accompanying software is freely available Selling point: Many examples to walk through using downloadable example data Selling point: Could be used to compliment books on program evaluation and/or research methods Selling point: Could be used in organizational settings
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Dr. Auerbach is a professor at Yeshiva University and a well-known research methodologist. In addition to SSD for R, Dr. Auerbach was the lead author of SINGWIN, a forerunner of SSD for R. He has published over 80 articles in peer-reviewed publications, and is also the author of multiple book chapters. Dr. Zeitlin is an assistant professor at Yeshiva University's Wurzweiler School of Social Work where she teaches courses in single-subject research, statistics, evidence-based social work, child welfare, and cultural competence. Her work has been published in peer-reviewed journals, and she is a frequent presenter at nationally recognized conferences.
Les mer
Selling point: Accompanying software is freely available Selling point: Many examples to walk through using downloadable example data Selling point: Could be used to compliment books on program evaluation and/or research methods Selling point: Could be used in organizational settings
Les mer

Produktdetaljer

ISBN
9780190228088
Publisert
2015
Utgiver
Vendor
Oxford University Press Inc
Vekt
635 gr
Høyde
254 mm
Bredde
175 mm
Dybde
23 mm
Aldersnivå
P, 06
Språk
Product language
Engelsk
Format
Product format
Heftet
Antall sider
304

Om bidragsyterne

Dr. Auerbach is a professor at Yeshiva University and a well-known research methodologist. In addition to SSD for R, Dr. Auerbach was the lead author of SINGWIN, a forerunner of SSD for R. He has published over 80 articles in peer-reviewed publications, and is also the author of multiple book chapters. Dr. Zeitlin is an assistant professor at Yeshiva University's Wurzweiler School of Social Work where she teaches courses in single-subject research, statistics, evidence-based social work, child welfare, and cultural competence. Her work has been published in peer-reviewed journals, and she is a frequent presenter at nationally recognized conferences.