Introductory criminal justice statistics and data analysis

Description

The latest edition of this user-friendly statistics and data analysis text is enriched by undated material and the successful teaching and research experiences of the lead author and new coauthor, Kristie Blevins. Their goal is to help students understand the logic of statistical reasoning and expose them to a variety of research situations in the context of criminal justice. The authors present basic statistical principles and practices on which students build knowledge and data analysis skills. Both mathematical procedures and guidelines for using SPSS to manipulate information are included. Straightforward explanations and meaningful examples strengthen the concepts for those seeking a solid foundation for conducting scientific research and learning how to interpret and write up results. Multiple-choice questions and SPSS project assignments reinforce how statistical knowledge can be applied to the field of criminal justice. Introductory Criminal Justice Statistics and Data Analysis is an essential tool for criminal justice departments and programs wishing to build strong quantitative components in their curricula.  Read more... Section one. Descriptive statistics -- 1. Introduction to statistics -- 2. Displaying and graphing distributions -- 3. Descriptive statistics: measures of central tendency and dispersion -- 4. The normal curve and standard scores -- Section two. Inferential statistics: tests of group differences -- 5. Introduction to inferential statistics -- 6. Hypothesis testing -- 7. Nonparametric tests: chi-square tests -- 8. Mean difference tests: t-tests -- 9. Significance differences: one-way analysis of variance (ANOVA) -- Section three. Inferential statistics: tests of association -- 10. Significant relationships: bivariate correlation -- 11. Significant relationships: simple linear regression -- 12. Significant relationships: multiple linear regression.