A beginner's guide to statistics for criminology and criminal justice using R /
Material type: TextDescription: 1 online resource (1 volume)ISBN: 9783030506254; 3030506258Subject(s): Criminal statistics | Criminal justice, Administration of | R (Computer program language)DDC classification: 364.015195 Online resources: Click here to access online | Click here to access online | Click here to access onlineItem type | Current library | Call number | Status | Date due | Barcode |
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Books | Gabriel Afolabi Ojo Central Library (Headquarters). | HV60245 .W66 2021 (Browse shelf(Opens below)) | Available | 016253 | |
Books | Gabriel Afolabi Ojo Central Library (Headquarters). | HV60245 .W66 2021 (Browse shelf(Opens below)) | Available | MHQ016254 |
Includes index,
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)
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