Statistical Methods for Criminology and Criminal Justice

ISBN-10: 0070030006

ISBN-13: 9780070030008

Edition: 1997

Authors: Ronet Bachman, Raymond Paternoster

List price: $103.75
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Book details

List price: $103.75
Copyright year: 1997
Publisher: McGraw-Hill Higher Education
Binding: Hardcover
Pages: 704
Size: 6.60" wide x 9.50" long x 1.10" tall
Weight: 2.398
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.

Preface
Why Do I Need to Learn This Stuff? The Purpose of Statistics in Criminology and Criminal Justicep. 1
Levels of Measurement and Aggregationp. 22
Interpreting Data Distributions: Graphical Techniquesp. 44
Measures of Central Tendencyp. 81
Measures of Dispersionp. 111
Exploratory Data Analysisp. 142
Introduction to Probability Theoryp. 169
The Normal Distributionp. 211
Point Estimation and Confidence Intervalsp. 236
From Estimation to Statistical Tests: Hypothesis Testing for One Population Mean and Proportionp. 259
Data Analysis with Two Categorical Variables: The Chi-Square Test and Measures of Associationp. 292
Hypothesis Tests Involving Two Population Means or Proportionsp. 342
Hypothesis Tests Involving Three or More Population Means: Analysis of Variancep. 385
Bivariate Correlation and Regressionp. 425
Multiple Regression and Partial Correlationp. 489
Nonparametric or Distribution-Free Statistical Testsp. 530
Regression Analysis with a Dichotomous Dependent Variable: Logit and Probit Modelsp. 564
Appendix A: Review of Basic Mathematical Operationsp. 623
Appendix B: Statistical Tablesp. 635
Glossaryp. 653
Referencesp. 685
Indexp. 693
Table of Contents provided by Blackwell. All Rights Reserved.
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