Session: Statistical Programming with R: New Opportunities for Social Work Researchers (Society for Social Work and Research 20th Annual Conference - Grand Challenges for Social Work: Setting a Research Agenda for the Future)

265 Statistical Programming with R: New Opportunities for Social Work Researchers

Schedule:
Sunday, January 17, 2016: 9:45 AM-11:15 AM
Lobby Level-Penn Quarter (Renaissance Washington, DC Downtown Hotel)
Cluster: Research Design and Measurement
Speakers/Presenters:
Brian Perron, PhD, University of Michigan-Ann Arbor and Bryan Victor, MSW, Wayne State University
R is a programming language that can be used to retrieve and manage data, conduct statistical analyses, and create highly customizable and interactive data visualizations.  Although R is one of the most common software applications for conducting statistical analysis, it is rarely used among social work researchers.  R has a reputation that it can be challenging to learn.  However, it has a level of flexibility and capability that cannot be matched by other off-the-shelf statistical packages.  And, unlike other statistical packages, R is open-source software, so it is available at no charge. R is also becoming increasingly popular for text analysis and natural language processing, making it a potentially useful tool for qualitative researchers.   

The purpose of this workshop is to provide an overview of the R programming language, with the ultimate goal of demystifying the learning process and demonstrating the power of R.  Workshop participants will be introduced to:

  • The R programming language and the freely available integrated development environment (IDE), Rstudio;  
  • Freely available resources and suggested strategies for learning R, and ways to integrate R into the work flow of social work research;  
  • Strategies to connect with the online R community to obtain freely available assistance on solving R-related problems; 
  • Latest R-related technologies for creating highly customizable and interactive visualizations;
  • Procedures of web scraping and the use of APIs to collect data from social media and open government data sources.
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