Statistical Methods for Criminology and Criminal Justice

ISBN-10: 0073129240

ISBN-13: 9780073129242

Edition: 3rd 2009

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Description: Statistical Methods for Criminology and Criminal Justicediscusses the basic statistical procedures comprehensively while keeping it approachable and readable for students. Useful at both the introductory and intermediate levels, this 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. The newly revised third edition offers new up-to-date crime data information and new research examples including specifics relating to youth crime, youth violence, hate crime and much more.

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Book details

List price: $238.00
Edition: 3rd
Copyright year: 2009
Publisher: McGraw-Hill Companies, The
Publication date: 11/4/2008
Binding: Hardcover
Pages: 720
Size: 7.25" wide x 9.00" long x 1.25" tall
Weight: 2.684
Language: English

Ronet Bachman, PhD, is Professor and Chair of the Department of Sociology and Criminal Justice at the University of Delaware. She is coauthor of Statistical Methods for Crime and Criminal Justice (3rd ed.), and coeditor of Explaining Crime and Criminology: Essays in Contemporary Criminal Theory. In addition, she is author of Death and Violence on the Reservation; coauthor of Stress, Culture, and Aggression in the United States; coauthor of Murder American Style; and coauthor of Violence: The Enduring Problem as well as numerous articles and papers that examine the epidemiology and etiology of violence, with a particular emphasis on women, the elderly, and minority populations. She is currently the Co-PI of a National Institute of Justice–funded study to examine the trajectories of drug-involved offenders 10 years after release from prison using a mixed-method design.

The Purpose of Statistics in the Criminological Sciences
Levels of Measurement and Aggregation
Understanding Data Distributions
Measures of Central Tendency
Measures of Dispersion
Probability Theory and Probability Distributions
Point Estimation and Confidence Intervals
From Estimation to Statistical Test: Hypothesis Testing for One
Data Analysis With Teo Categorical Variables: The Chi-Square Test and Measures of Association
Hypothesis Tests Involving Two Population Means or Proportions
Hypothesis Tests Involving Three or More Population Means: Analysis of Variance
Bivariate Correlation and Regression
Multivariate Methods: Partial Tables and Multiple Regression
Regression Analysis with a Dichotomous Dependent Variable: Logit and Probit Models
Appendix A
Appendix B
Appendix C
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