| 000 | 03007cam a2200277Ii 4500 | ||
|---|---|---|---|
| 020 | _a9783030506254 | ||
| 020 | _a3030506258 | ||
| 082 | 0 | 4 | _a364.015195 |
| 100 | 1 | _aWooditch, Alese, | |
| 245 | 1 | 2 | _aA beginner's guide to statistics for criminology and criminal justice using R / |
| 300 | _a1 online resource (1 volume) | ||
| 500 | _aIncludes index, | ||
| 505 | 0 | _a1. 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 | _aThis 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 | _aCriminal statistics. | |
| 650 | 0 | _aCriminal justice, Administration of | |
| 650 | 0 | _aR (Computer program language) | |
| 700 | 1 | _aJohnson, Nicole J., | |
| 700 | 1 | _aSolymosi, Reka, | |
| 700 | 1 | _aMedina, Juan J. | |
| 700 | 1 | _aLangton, Samuel, | |
| 856 | 4 | 0 | _uhttps://rave.ohiolink.edu/ebooks/ebc2/9783030506254 |
| 856 | 4 | 0 | _uhttps://link.springer.com/10.1007/978-3-030-50625-4 |
| 856 | 4 | 0 | _uhttp://proxy.ohiolink.edu:9099/login?url=https://link.springer.com/10.1007/978-3-030-50625-4 |
| 942 | _cBK | ||
| 999 |
_c3530 _d3530 |
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