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A Beginner’s Guide to Statistics for Criminology and Criminal Justice Using R

Authors: Wooditch, A., Johnson, N., Solymosi, R., Medina, J., Langton, S.

  • The first R textbook aimed specifically at the needs of criminology and criminal justice researchers
  • Helps readers master program basics such as R file types, importing and exporting data, data types and structures, data cleaning, different types of loops, and writing functions
  • Covers statistical analyses and data manipulation techniques to include measures of central tendency and dispersion, chi-squared, t-tests, analysis of variance, hypothesis testing, regression, and data visualizations and graphics
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Buy this book

eBook $69.99
price for USA in USD
  • The eBook version of this title will be available soon
  • Due: December 30, 2020
  • ISBN 978-3-030-50625-4
  • Digitally watermarked, DRM-free
  • Included format:
  • ebooks can be used on all reading devices
Hardcover $89.99
price for USA in USD
About this Textbook

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 and tidyverse set of packages.

This volume will help users master the fundamentals of the R programming language, providing tutorials in each chapter that lay out research questions and hypotheses centering around a real criminal justice dataset, such as data from the National Survey on Drug Use and Health, National Crime Victimization Survey, Youth Risk Behavior Surveillance System, The Monitoring the Future Study, and The National Youth Survey. Users will also learn how to manipulate common sources of agency data, such as calls-for-service (CFS) data. The end of each chapter includes 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).

About the authors

Alese Wooditch is an assistant professor of criminal justice at Temple University. Her research interests include crime and place, quantitative methods, and evaluation research.

Nicole Johnson is a doctoral student in the Department of Criminal Justice at Temple University. Her research interests include understanding group- and community-level behavioral dynamics, particularly those related to crime and responses to crime.

Reka Solymosi is a lecturer in quantitative methods at the Department of Criminology at University of Manchester, and a member of the Software Sustainability Institute. Her research focuses on making use of new forms of data to gain insight into people's behaviour and subjective experiences, particularly focusing on crime, victimisation, transport, and spatial research. 

Juanjo Medina is professor of quantitative criminology and Head of the Criminology Department at the University of Manchester. His research focuses on gender violence, gangs, crime prevention, and data science applications to criminal justice.

Samuel Langton is a researcher in quantitative criminology at Manchester Metropolitan University. His research primarily focuses on describing and explaining the spatial and temporal patterning of known offender residences.

Buy this book

eBook $69.99
price for USA in USD
  • The eBook version of this title will be available soon
  • Due: December 30, 2020
  • ISBN 978-3-030-50625-4
  • Digitally watermarked, DRM-free
  • Included format:
  • ebooks can be used on all reading devices
Hardcover $89.99
price for USA in USD
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Bibliographic Information

Bibliographic Information
Book Title
A Beginner’s Guide to Statistics for Criminology and Criminal Justice Using R
Authors
Copyright
2020
Publisher
Springer International Publishing
Copyright Holder
The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG
eBook ISBN
978-3-030-50625-4
DOI
10.1007/978-3-030-50625-4
Hardcover ISBN
978-3-030-50624-7
Edition Number
1
Number of Pages
VIII, 319
Topics