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The Resource A Beginner's Guide to Statistics for Criminology and Criminal Justice Using R, by Alese Wooditch, Nicole J. Johnson, Reka Solymosi, Juanjo Medina Ariza, Samuel Langton, (electronic resource)

A Beginner's Guide to Statistics for Criminology and Criminal Justice Using R, by Alese Wooditch, Nicole J. Johnson, Reka Solymosi, Juanjo Medina Ariza, Samuel Langton, (electronic resource)

Creator
Author
Contributor
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).--
Language
eng
Work
Publication
Edition
1st ed. 2021.
Extent
1 online resource (XIV, 330 pages)
Contents
  • 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
Isbn
9783030506254
Link
https://eui.idm.oclc.org/login?url=https://doi.org/10.1007/978-3-030-50625-4
Instance
Label
A Beginner's Guide to Statistics for Criminology and Criminal Justice Using R
Title
A Beginner's Guide to Statistics for Criminology and Criminal Justice Using R
Statement of responsibility
by Alese Wooditch, Nicole J. Johnson, Reka Solymosi, Juanjo Medina Ariza, Samuel Langton
Creator
Contributor
Author
Subject
Language
eng
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).--
Is part of
Assigning source
Provided by publisher
http://library.link/vocab/creatorName
Wooditch, Alese
Image bit depth
0
Literary form
non fiction
Nature of contents
dictionaries
http://library.link/vocab/relatedWorkOrContributorName
  • Johnson, Nicole J
  • Solymosi, Reka
  • Medina Ariza, Juanjo
  • Langton, Samuel
Series statement
Springer eBooks.
http://library.link/vocab/subjectName
  • Criminology
  • Research
  • Statistics
Label
A Beginner's Guide to Statistics for Criminology and Criminal Justice Using R, by Alese Wooditch, Nicole J. Johnson, Reka Solymosi, Juanjo Medina Ariza, Samuel Langton, (electronic resource)
Link
https://eui.idm.oclc.org/login?url=https://doi.org/10.1007/978-3-030-50625-4
Instantiates
Publication
Antecedent source
mixed
Carrier category
online resource
Carrier category code
  • cr
Carrier MARC source
rdacarrier
Color
not applicable
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
Contents
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
Control code
978-3-030-50625-4
Dimensions
unknown
Edition
1st ed. 2021.
Extent
1 online resource (XIV, 330 pages)
File format
multiple file formats
Form of item
  • online
  • electronic
Isbn
9783030506254
Level of compression
uncompressed
Media category
computer
Media MARC source
rdamedia
Media type code
  • c
Other physical details
403 illustrations, 373 illustrations in color.
Quality assurance targets
absent
Reformatting quality
access
Specific material designation
remote
System control number
(OCoLC)1257297122
Label
A Beginner's Guide to Statistics for Criminology and Criminal Justice Using R, by Alese Wooditch, Nicole J. Johnson, Reka Solymosi, Juanjo Medina Ariza, Samuel Langton, (electronic resource)
Link
https://eui.idm.oclc.org/login?url=https://doi.org/10.1007/978-3-030-50625-4
Publication
Antecedent source
mixed
Carrier category
online resource
Carrier category code
  • cr
Carrier MARC source
rdacarrier
Color
not applicable
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
Contents
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
Control code
978-3-030-50625-4
Dimensions
unknown
Edition
1st ed. 2021.
Extent
1 online resource (XIV, 330 pages)
File format
multiple file formats
Form of item
  • online
  • electronic
Isbn
9783030506254
Level of compression
uncompressed
Media category
computer
Media MARC source
rdamedia
Media type code
  • c
Other physical details
403 illustrations, 373 illustrations in color.
Quality assurance targets
absent
Reformatting quality
access
Specific material designation
remote
System control number
(OCoLC)1257297122

Subject

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