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Statistics for Criminology and Criminal Justice
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Statistics for Criminology and Criminal Justice

Third Edition


April 2018 | 456 pages | SAGE Publications, Inc

“…It is a great textbook for undergrads who are being exposed to statistics in the field for the first time and for Master’s students who need a better grasp of the fundamentals of statistics before taking more advanced courses…”
—Calli M. Cain, University of Nebraska at Omaha

“A must-have textbook for Instructors and students alike in the fields of Criminology and Criminal Justice.  The book is user-friendly.”
—Bonny Mhlanga, Western Illinois University

An Introduction to Statistics in Criminology and Criminal Justice

Statistics for Criminology and Criminal Justice, Third Edition demonstrates how statistics is relevant to a student’s life and future career by illustrating the logical connections between basic statistical concepts and their real-world implications in criminology and criminal justice. Written for students with a limited mathematical background, author Jacinta Gau eases student anxiety around statistics by simplifying the overarching goal of each statistical technique and providing step-by-step instructions for working through the formulas and numbers. Students use real data from the field to build a foundational knowledge of statistics, rather than merely memorizing key terms or formulas. 

New to the Third Edition

  • NEW Thinking Critically feature encourages students to apply the concepts from the chapter to real-life scenarios, with open-ended questions that are designed to inspire students to think about the nuances of science, statistics, and their application to criminal justice. 
  • Additional illustrations and examples in every chapter keep students engaged with the content and offer ample opportunities for them to practice the techniques. 
  • New and updated data sets from a wide range of relevant sources, such as the NCVS and UCR, BJS, LEMAS, the Census of Jails, and much more have been incorporated to give students insights into the state of criminal justice research today. 
  • New research on critical topics encourages students to discuss changes happening in the field such as the Census of Jails, inmate-on-staff assaults in prisons, and homicide rates.
  • Practicing Statistics Whiteboard Videos, available in SAGE edge, walk students through statistical calculations to reinforce key concepts. 
  • Previous edition errors have been corrected by a statistician. 

Give your students the SAGE edge!

SAGE edge offers a robust online environment featuring an impressive array of free tools and resources for review, study, and further exploration, keeping both instructors and students on the cutting edge of teaching and learning. Learn more at edge.sagepub.com/gau3e

 
Preface to the Third Edition
 
Acknowledgments
 
About the Author
 
PART I DESCRIPTIVE STATISTICS
 
Chapter 1 Introduction to the Use of Statistics in Criminal Justice and Criminology
Science: Basic Terms and Concepts

 
Types of Scientific Research in Criminal Justice and Criminology

 
Software Packages for Statistical Analysis

 
Organization of the Book

 
Review Problems

 
 
Chapter 2 Types of Variables and Levels of Measurement
Units of Analysis

 
Independent Variables and Dependent Variables

 
Relationships Between Variables: A Cautionary Note

 
Levels of Measurement

 
Chapter Summary

 
Review Problems

 
 
Chapter 3 Organizing, Displaying, and Presenting Data
Data Distributions

 
Graphs and Charts

 
Grouped Data

 
SPSS

 
Chapter Summary

 
Review Problems

 
 
Chapter 4 Measures of Central Tendency
The Mode

 
The Median

 
The Mean

 
Using the Mean and Median to Determine Distribution Shape

 
Deviation Scores and the Mean as the Midpoint of the Magnitudes

 
SPSS

 
Chapter Summary

 
Review Problems

 
 
Chapter 5 Measures of Dispersion
The Variation Ratio

 
The Range

 
The Variance

 
The Standard Deviation

 
The Standard Deviation and the Normal Curve

 
SPSS

 
Chapter Summary

 
Review Problems

 
 
PART II PROBABILITY AND DISTRIBUTIONS
 
Chapter 6 Probability
Discrete Probability: The Binomial Probability Distribution

 
Continuous Probability: The Standard Normal Curve

 
Chapter Summary

 
Review Problems

 
 
Chapter 7 Population, Sample, and Sampling Distributions
Empirical Distributions: Population and Sample Distributions

 
Theoretical Distributions: Sampling Distributions

 
Sample Size and the Sampling Distribution: The z and t Distributions

 
Chapter Summary

 
Review Problems

 
 
Chapter 8 Point Estimates and Confidence Intervals
The Level of Confidence: The Probability of Being Correct

 
Confidence Intervals for Means With Large Samples

 
Confidence Intervals for Means With Small Samples

 
Confidence Intervals With Proportions and Percentages

 
Chapter Summary

 
Review Problems

 
 
PART III HYPOTHESIS TESTING
 
Chapter 9 Hypothesis Testing: A Conceptual Introduction
Sample Statistics and Population Parameters: Sampling Error or True Difference?

 
Null and Alternative Hypotheses

 
Chapter Summary

 
Review Problems

 
 
Chapter 10 Hypothesis Testing With Two Categorical Variables: Chi-Square
Conceptual Basis of the Chi-Square Test: Statistical Dependence and Independence

 
The Chi-Square Test of Independence

 
Measures of Association

 
SPSS

 
Chapter Summary

 
Review Problems

 
 
Chapter 11 Hypothesis Testing With Two Population Means or Proportions
Two-Population Tests for Differences Between Means: t Tests

 
Two-Population Tests for Differences Between Proportions

 
SPSS

 
Chapter Summary

 
Review Problems

 
 
Chapter 12 Hypothesis Testing With Three or More Population Means: Analysis of Variance
ANOVA: Different Types of Variances

 
When the Null Is Rejected: A Measure of Association and Post Hoc Tests

 
SPSS

 
Chapter Summary

 
Review Problems

 
 
Chapter 13 Hypothesis Testing With Two Continuous Variables: Correlation
Beyond Statistical Significance: Sign, Magnitude, and Coefficient of Determination

 
SPSS

 
Chapter Summary

 
Review Problems

 
 
Chapter 14 Introduction to Regression Analysis
One Independent Variable and One Dependent Variable: Bivariate Regression

 
Adding More Independent Variables: Multiple Regression

 
Ordinary Least Squares Regression in SPSS

 
Alternatives to Ordinary Least Squares Regression

 
Chapter Summary

 
Review Problems

 
 
Appendix A Review of Basic Mathematical Techniques
 
Appendix B Standard Normal (z) Distribution
 
Appendix C t Distribution
 
Appendix D Chi-Square (c²) Distribution
 
Appendix E F Distribution
 
Glossary
 
Answers to Learning Checks
 
Answers to Review Problems
 
References
 
Index

Supplements

Instructor Resouce Site

The password-protected Instructor Resource Site includes the following:

  • A Microsoft® Word® test bank is available containing multiple choice, true/false, short answer, and essay questions for each chapter. The test bank provides you with a diverse range of pre-written options as well as the opportunity for editing any question and/or inserting your own personalized questions to effectively assess students’ progress and understanding.
  • Editable, chapter-specific Microsoft® PowerPoint® slides offer you complete flexibility in easily creating a multimedia presentation for your course. Highlight essential content, features, and artwork from the book.
  • Sample course syllabi for semester and quarter courses provide suggested models for use when creating the syllabi for your courses.
  • EXCLUSIVE! Access to certain full-text SAGE journal articles that have been carefully selected for each chapter. Each article supports and expands on the concepts presented in the chapter.
  • Web resources are included for further research and insights.
  • Chapter activities for individual or group projects provide lively and stimulating ideas for use in and out of class reinforce active learning
  • Practicing Statistics Whiteboard Videos, available in SAGE edge, walk students through statistical calculations to reinforce key concepts.
Student Study Site

The open-access Student Study Site includes the following:

  • Mobile-friendly eFlashcards reinforce understanding of key terms and concepts that have been outlined in the chapters.
  • Mobile-friendly web quizzes allow for independent assessment of progress made in learning course material.
  • EXCLUSIVE! Access to certain full-text SAGE journal articles that have been carefully selected for each chapter.
  • Web resources are included for further research and insights.
  • Data-sets reinforce concepts from the book and provide real-world application
  • Practicing Statistics Whiteboard Videos, available in SAGE edge, walk students through statistical calculations to reinforce key concepts.

“[Statistics for Criminology and Criminal Justice] is well-written and logically organized so that it is easy for instructors to adopt (without having to jump around in the book). It is a great textbook for undergrads who are being exposed to statistics in the field for the first time and for Master’s students who need a better grasp of the fundamentals of statistics before taking more advanced courses (the SPSS exercises are especially useful for a graduate level students who are novice SPSS users).”

Calli M. Cain
University of Nebraska at Omaha

“This is a thorough introductory text with a lot of good, interesting examples and descriptions of data sources.” 

Kyleigh Clark
University of Massachusetts, Lowell

“A must-have textbook for Instructors and students alike in the fields of Criminology and Criminal Justice.  The book is user-friendly.”

Bonny Mhlanga
Western Illinois University

“Great textbook that provides easy to read examples and comprehensive topics.”

Egbert Zavala
The University of Texas at El Paso

“[Statistics for Criminology and Criminal Justice] does an excellent job with providing students a conceptual foundation to the application of statistical techniques.  It provides just enough detail, does not shy away from the presentation of formulas, and emphasizes the application and interpretation of statistical analysis.  It also uses illustrations in a judicious manner to present relevant concepts.  The chapter review problems are an invaluable resource for students.”

Albert M. Kopak
Western Carolina University

“…well-constructed and comprehensive of hypothesis testing and offers a good approach using a clear method of calculation.”

Elias Nader
University of Massachusetts Lowell

“A great introduction to statistics text that is well organized, easy to understand, and provides students with access to real-life data.”

Jane C. Daquin
Georgia State University

For instructors

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ISBN: 9781506391786
£128.00