A beginner's guide to statistics for criminology and criminal justice using R / Alese Wooditch, Nicole J. Johnson, Reka Solymosi, Juanjo Medina Ariza, Samuel Langton.
Wooditch, Alese, author.; Johnson, Nicole J., author.; Solymosi, Reka, author.; Medina, Juan J. (Juan José), author.; Langton, Samuel, author.
2021
HV6024.5
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Title
A beginner's guide to statistics for criminology and criminal justice using R / Alese Wooditch, Nicole J. Johnson, Reka Solymosi, Juanjo Medina Ariza, Samuel Langton.
Author
Wooditch, Alese, author.
ISBN
9783030506254 (electronic bk.)
3030506258 (electronic bk.)
9783030506247
303050624X
DOI
https://doi.org/10.1007/978-3-030-50625-4
Published
Cham, Switzerland : Springer, 2021.
Language
English
Description
1 online resource (1 volume)
Item Number
10.1007/978-3-030-50625-4 doi
Call Number
HV6024.5
Dewey Decimal Classification
364.015195
Summary
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).
Note
Includes index,
Access Note
Access limited to authorized users.
Source of Description
Description based on print version record.
Added Author
Johnson, Nicole J., author.
Solymosi, Reka, author.
Medina, Juan J. (Juan José), author.
Langton, Samuel, author.
Available in Other Form
Beginner's guide to statistics for criminology and criminal justice using R.
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1. Getting started
2. Managing your data
3. Data visualization
4. Spatiotemporal data visualization and basic crime analysis
5. Descriptive statistics: measures of central tendency
6. Descriptive statistics: measures of dispersion
7. Statistical inference in criminal justice research
8. Defining the observed significance level of a test
9. Hypothesis testing using the binomial distribution
10. Chi-square: a test commonly used for nominal-level measures
11. The normal distribution and its application to tests of statistical significance
12. Comparing means in two samples
13. Analysis of variance
14. Measures of association for nominal and ordinal variables
15. Measuring association for interval data
16. Introduction to regression analysis.

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