@article{1437516,
      note = {Includes index,},
      author = {Wooditch, Alese, and Johnson, Nicole J., and Solymosi,  Reka, and Medina, Juan J. and Langton, Samuel,},
      url = {http://library.usi.edu/record/1437516},
      title = {A beginner's guide to statistics for criminology and  criminal justice using R /},
      abstract = {This book provides hands-on guidance for researchers and  practitioners in criminal justice and criminology to  perform statistical analyses and data visualization in the  free and open-source software, R. It offers a step-by-step  guide for beginners to become familiar with the RStudio  platform. This volume will help users master the  fundamentals of the R programming language, in addition to  program basics. Tutorials in each chapter lay out research  questions and hypotheses that center around a real criminal  justice dataset, such as data from the National Youth  Survey, Law Enforcement Management and Administrative  Statistics (LEMAS)-Body Worn Camera Survey, the Survey of  Inmates in State and Federal Correctional Facilities  (SISFCF), the National Crime Victimization Survey (NCVS),  the British Crime Survey/Crime Survey for England and  Wales, and the Seattle Neighborhoods and Crime Survey. At  the end of each chapter are exercises that reinforce the R  tutorial examples, designed to help master the software, as  well as to provide practice on statistical concepts, data  analysis, and interpretation of results. The text can be  used as a stand-alone guide to learning R or it can be used  as a companion guide to an introductory statistics  textbook, such as Basic Statistics in Criminal Justice  (2020).},
      doi = {https://doi.org/10.1007/978-3-030-50625-4},
      recid = {1437516},
      pages = {1 online resource (1 volume)},
}