Alese Wooditch,Nicole J. Johnson,Reka Solymosi,Juanjo Medina Ariza,Samuel Langton
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
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Excellent- More about A Beginner's Guide to Statistics for Criminology and Criminal Justice Using R
This book provides hands-on guidance for researchers and practitioners in criminal justice and criminology to perform statistical analyses and data visualization in R. It offers a step-by-step guide for beginners to become familiar with the RStudio platform and tidyverse set of packages, and covers topics such as mastering the R programming language, manipulating agency data, and conducting statistical analyses on real criminal justice datasets.
Format: Paperback / softback
Length: 330 pages
Publication date: 05 June 2022
Publisher: Springer Nature Switzerland AG
This comprehensive book is a valuable resource for researchers and practitioners in criminal justice and criminology who seek to perform statistical analyses and data visualization using the free and open-source software R. It offers a step-by-step guide for beginners to familiarize themselves with the RStudio platform and the tidyverse set of packages, which are widely recognized as the gold standard in data manipulation and analysis.
The book begins by covering the fundamentals of the R programming language, providing tutorials in each chapter that outline research questions and hypotheses centered around a real criminal justice dataset. Examples include data from the National Survey on Drug Use and Health, the National Crime Victimization Survey, the Youth Risk Behavior Surveillance System, the Monitoring the Future Study, and the National Youth Survey. Users will learn how to manipulate common sources of agency data, such as calls-for-service (CFS) data, which are often used in criminal justice research.
Each chapter concludes with exercises that reinforce the R tutorial examples and provide practice on statistical concepts, data analysis, and interpretation of results. These exercises are designed to help users master the software and develop a strong understanding of statistical principles.
Whether used as a stand-alone guide or as a companion guide to an introductory statistics textbook, this book is an essential resource for anyone interested in learning R and applying it to criminal justice and criminology research. Its comprehensive coverage, clear explanations, and practical examples make it accessible to researchers and practitioners at all levels of experience.
Weight: 644g
Dimension: 177 x 252 x 27 (mm)
ISBN-13: 9783030506278
Edition number: 1st ed. 2021
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