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A beginner's guide to statistics for criminology and criminal justice using R

Record Type:	Electronic resources : Monograph/item
Title/Author:	A beginner's guide to statistics for criminology and criminal justice using Rby Alese Wooditch ... [et al.].
other author:	Wooditch, Alese.
Published:	Cham :Springer International Publishing :2021.
Description:	xiv, 330 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Criminal statistics.
Online resource:	https://doi.org/10.1007/978-3-030-50625-4
ISBN:	9783030506254$q(electronic bk.)

A beginner's guide to statistics for criminology and criminal justice using R
A beginner's guide to statistics for criminology and criminal justice using R[electronic resource] /by Alese Wooditch ... [et al.]. - Cham :Springer International Publishing :2021. - xiv, 330 p. :ill., digital ;24 cm.

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.

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)

ISBN: 9783030506254$q(electronic bk.)

Standard No.: 10.1007/978-3-030-50625-4doiSubjects--Topical Terms:

329221
Criminal statistics.

LC Class. No.: HV6024.5

Dewey Class. No.: 364.015195

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505 0 $a 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.
520 $a 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)
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