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.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
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 informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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Paperback. Etat : Very Good. 1st Edition. 1st Edition (2015.) 4to paperback with 295 pages. The book is in very good condition. Interior clean and tight, No markings. No online access or CD-ROM or digital access codes if applicable! "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." Blue spine/ Green-White text. Size: 4to. Social Work. N° de réf. du vendeur 035602
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Paperback. Etat : New. 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. N° de réf. du vendeur LU-9780190228088
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