國立虎尾科技大學 |

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

Record Type:	Language materials, printed : Monograph/item
Title/Author:	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.
Author:	Wooditch, Alese.
other author:	Johnson, Nicole J.
Description:	XIV, 330 p. 403 illus., 373 illus. in color.online resource. :
Contained By:	Springer Nature eBook
Subject:	Criminology. -
Online resource:	https://doi.org/10.1007/978-3-030-50625-4
ISBN:	9783030506254

A Beginner’s Guide to Statistics for Criminology and Criminal Justice Using R
Wooditch, Alese.

A Beginner’s Guide to Statistics for Criminology and Criminal Justice Using R[electronic resource] /by Alese Wooditch, Nicole J. Johnson, Reka Solymosi, Juanjo Medina Ariza, Samuel Langton. - 1st ed. 2021. - XIV, 330 p. 403 illus., 373 illus. in color.online resource.

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

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

563146
Criminology.

LC Class. No.: HV6024.5

Dewey Class. No.: 364.072

A Beginner’s Guide to Statistics for Criminology and Criminal Justice Using R
LDR:03547nam a22003975i 4500 001 1055186
003 DE-He213
005 20210902133218.0
007 cr nn 008mamaa
008 220103s2021 sz | s |||| 0|eng d
020 $a 9783030506254 $9 978-3-030-50625-4
024 7 $a 10.1007/978-3-030-50625-4 $2 doi
035 $a 978-3-030-50625-4
050 4 $a HV6024.5
072 7 $a JKV $2 bicssc
072 7 $a SOC004000 $2 bisacsh
072 7 $a JKV $2 thema
082 0 4 $a 364.072 $2 23
100 1 $a Wooditch, Alese. $e author. $4 aut $4 http://id.loc.gov/vocabulary/relators/aut $3 1312605
245 1 2 $a A Beginner’s Guide to Statistics for Criminology and Criminal Justice Using R $h [electronic resource] / $c by Alese Wooditch, Nicole J. Johnson, Reka Solymosi, Juanjo Medina Ariza, Samuel Langton.
250 $a 1st ed. 2021.
264 1 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2021.
300 $a XIV, 330 p. 403 illus., 373 illus. in color. $b online resource.
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
347 $a text file $b PDF $2 rda
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).
650 0 $a Criminology. $3 563146
650 0 $a Research. $3 558735
650 0 $a Statistics . $3 1253516
650 1 4 $a Research Methods in Criminology. $3 1203887
650 2 4 $a Statistics and Computing/Statistics Programs. $3 669775
700 1 $a Johnson, Nicole J. $e author. $4 aut $4 http://id.loc.gov/vocabulary/relators/aut $3 1360348
700 1 $a Solymosi, Reka. $e author. $4 aut $4 http://id.loc.gov/vocabulary/relators/aut $3 1360349
700 1 $a Medina Ariza, Juanjo. $e author. $4 aut $4 http://id.loc.gov/vocabulary/relators/aut $3 1360350
700 1 $a Langton, Samuel. $e author. $4 aut $4 http://id.loc.gov/vocabulary/relators/aut $3 1360351
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
776 0 8 $i Printed edition: $z 9783030506247
776 0 8 $i Printed edition: $z 9783030506261
776 0 8 $i Printed edition: $z 9783030506278
856 4 0 $u https://doi.org/10.1007/978-3-030-50625-4
912 $a ZDB-2-LCR
912 $a ZDB-2-SXLC
950 $a Law and Criminology (SpringerNature-41177)
950 $a Law and Criminology (R0) (SpringerNature-43727)