Statistics for criminology and criminal justice /
Ronet Bachman, Raymond Paternoster.
- Second edition
- xxv, 738, 14 pages : illustrations ; 24 cm.
Rev. ed. of: Statistical methods for criminology and criminal justice. c1997.
Includes bibliographical references (p. 731-738) and index.
Chapter 1: The Purpose of Statistics in the Criminological Sciences Chapter 2: Levels of Measurement and Aggregation Chapter 3: Understanding Data Distributions Chapter 4: Measures of Central Tendency Chapter 5: Measures of Dispersion Chapter 6: Probability Theory and Probability Distributions Chapter 7: Point Estimation and Confidence Intervals Chapter 8: From Estimation to Statistical Test: Hypothesis Testing for One Chapter 9: Data Analysis With Teo Categorical Variables: The Chi-Square Test and Measures of Association Chapter 10: Hypothesis Tests Involving Two Population Means or Proportions
Chapter 11: Hypothesis Tests Involving Three or More Population Means: Analysis of Variance
Chapter 12: Bivariate Correlation and Regression
Chapter 13: Multivariate Methods: Partial Tables and Multiple Regression
Chapter 14: Regression Analysis with a Dichotomous Dependent Variable: Logit and Probit Models
Appendix A: Review of Basic Mathematical Operation Appendix B: Statistical Tables Appendix C: An Introduction to SPSS Appendix D: Codebooks to Data Sets
The only book that introduces students to the statistical methods of criminology and criminal justice and shows how they are actually used. Each chapter combines instruction in statistical analysis with investigations of key research questions in our field: what are the causes of crime? Is arrest a deterrent intimate partner assault? do boot camps reduce recidivism? It can be used at either the introductory or intermediate levels. The text contains in-depth coverage of descriptive statistics, including graphical displays of data and exploratory data analysis, along with bivariate and multivariate analyses. emphasis is placed equally on calculation and interpretation. This book offers a detailed explanation of statistical analysis that is easy to comprehend.