Statistics for Criminology and Criminal Justice

Fifth Edition

Ronet D. Bachman - University of Delaware, USA
Raymond Paternoster
Theodore H. Wilson - University at Albany, USA

Courses:
Introduction to Statistics | Research Methods in Criminal Justice | Statistics - General Interest | Statistics in Criminal Justice

February 2021 | 616 pages | SAGE Publications, Inc

Communicating the excitement and importance of criminal justice research, this practical and comprehensive book shows students how to perform and understand statistical analyses, while helping them recognize the connection between statistical analyses used in everyday life and their importance to criminology and criminal justice. This updated Fifth Edition is packed with real-world case studies and contemporary examples utilizing the most current crime data and empirical research available. Each chapter presents a particular statistical method in the context of a substantive research story.

A companion website for the book at edge.sagepub.com/bachmansccj5e includes resources for instructors and students.

Available Formats

ISBN: 9781544375700	Paperback	Suggested Retail Price: $197.00	Bookstore Price: $157.60
ISBN: 9781544375687	Electronic Version	Suggested Retail Price: $120.00	Bookstore Price: $96.00

See what’s new to this edition by selecting the Features tab on this page. Should you need additional information or have questions regarding the HEOA information provided for this title, including what is new to this edition, please email sageheoa@sagepub.com. Please include your name, contact information, and the name of the title for which you would like more information. For information on the HEOA, please go to http://ed.gov/policy/highered/leg/hea08/index.html.

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Chapter 1. The Importance of Statistics in the Criminological Sciences or Why Do I have to Learn This Stuff?

PART I. Univariate Analysis: Describing Variable Distributions

Chapter 2. Levels of Measurement and Aggregation

Chapter 3. Understanding Data Distributions: Tabular and Graphical Techniques

Chapter 4. Measures of Central Tendency

Chapter 5. Measures of Dispersion

PART II. Making Inferences in Univariate Analysis: Generalizing From a Sample to the Population

Chapter 6. Probability, Probability Distributions, and an Introduction to Inferential Testing

Chapter 7. Point Estimation and Confidence Intervals

Chapter 8. From Estimation to Statistical Tests: Hypothesis Testing for One Population Mean and Proportion

PART III. Bivariate Analysis: Relationships Between Two Variables

Chapter 9. Testing Hypotheses With Categorical Data

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

PART IV. Multivariable Analysis: Predicting One Dependent Variable with Two or More Independent Variables

Chapter 13. Controlling for a Third Variable: Multiple OLS Regression

Chapter 14. Regression Analysis With a Dichotomous Dependent Variable: Logit Models

Supplements

Instructor Teaching Site
edge.sagepub.com/bachmansccj5e

For additional information, custom options, or to request a personalized walkthrough of these resources, please contact your sales representative.

LMS cartridge included with this title for use in Blackboard, Canvas, Brightspace by Desire2Learn (D2L), and Moodle

The LMS cartridge makes it easy to import this title’s instructor resources into your learning management system (LMS). These resources include:

Test banks
Editable chapter-specific PowerPoint® slides
Answers to en-of-chapter problems from the book
Software output for Excel, SPSS, and Stata organized by chapter
Datasets for use with the book

Don’t use an LMS platform?

You can still access all of the same online resources for this title via the password-protected Instructor Resource Site.

Student Study Site

edge.sagepub.com/bachmansccj5e

The open-access Student Study Site makes it easy for students to maximize their study time, anywhere, anytime. It offers flashcards that strengthen understanding of key terms and concepts, datasets for use with the book, and software output for Excel, SPSS, and Stata organized by chapter.

I have used this book for a while. Good content, examples, and details for my grad students.

Dr Jina Lee

Criminal Justice, Grand Valley St. Univ-Eberhard

March 24, 2022

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Key features

NEW TO THIS EDITION:

Current crime data and new research examples ensure students have practical experience with the most up-to-date information available in criminology and criminal justice.
New SPSS, Excel, and Stata exercises that correspond to the chapter material give students hands-on experience utilizing real data including subsets of data from the National Crime Victimization Survey, Monitoring the Future, the Youth Risk Behavior Survey, state-level crime data from the Uniform Crime Reports (UCR), and opinion data from the General Social Survey.
The univariate chapters include all new data from the most recent publications from the Federal Bureau of Investigation and the Bureau of Justice Statistics.
The most recent data available is used in Chapter 12 to examine the bivariate relationships between state rates of murder and poverty, rates of robbery and rural population, and rates of robbery and divorce to conduct appropriate statistical analyses, helping students to simultaneously learn important substantive information related to the discipline.