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Introductory Criminal Justice Statistics

Irina R. Soderstrom

Introductory Criminal Justice Statistics is an essential tool for criminal justice departments and programs intent on creating strong quantitative components in their curricula. The author couples a sound pedagogical component with an applied focus, allowing students to gain an appreciation of the fundamental role that statistics play in laying the scientific groundwork of the criminal justice discipline.

The text includes basic statistical principles and practices and increasingly builds on this foundation to demonstrate the primary analytical techniques. Students apply these techniques using a hands-on method as well as SPSS. By providing a meaningful context for the use of statistical techniques in the field of criminal justice, students learn how to interpret and write up their results. In addition, multiple-choice questions and SPSS project assignments give students the opportunity to employ their statistical knowledge and understanding of statistical reasoning.

$24.95 list, 172 pages

10-digit ISBN: 1-57766-564-3

13-digit ISBN: 978-157766-564-9

© 2008

Instructor's Manual available

Table of Contents

Section 1: DESCRIPTIVE STATISTICS

1. Introduction to Statistics

Why Study Statistics? / Learning to Think Statistically / The Role of Statistics in Scientific Inquiry / Basic Elements of Statistics / Levels of Measurement

2. Displaying and Graphing Distributions

Frequency Distributions / Graphing and Charting Distributions

3. Descriptive Statistics: Measures of Central Tendency and Dispersion

Importance of Quantitative Descriptive Statistics / Measures of Central Tendency / Measures of Dispersion

4. The Normal Curve and Standard Scores

The Normal Curve / Standard Scores (z-Scores) / The Standard Normal Curve

Section 2: INFERENTIAL STATISTICS: Tests of Group Differences

5. Introduction to Inferential Statistics

Probability Sampling / Sampling Distributions / Confidence Intervals

6. Hypothesis Testing

Role of Hypothesis Testing in Criminal Justice Research / Methods of Hypothesis Testing / Type I and Type II Errors / Statistical versus Practical Significance

7. Significant Differences: One-Sample Tests

Purpose of One-Sample Tests / The One-Sample t-Test / The Chi-Square

8. Significant Differences: Two-Sample Tests

Purpose and Types of Two-Sample Tests / Important Concepts Related to Two-Sample t-Tests / The Independent Samples t-Test / The Chi-Square Test

9. Significant Differences: One-Way Analysis of Variance (ANOVA)

Purpose of ANOVA Tests / Important Concepts Related to Analysis of Variance / Research Examples / Post Hoc Probing

Section 3: INFERENTIAL STATISTICS: Tests of Association

10. Significant Relationships: Bivariate Correlation

Purpose of Tests of Association / Important Concepts Related to Bivariate Correlation / Statistical Significance versus Practical Significance

11. Significant Relationships: Simple Linear Regression

Purpose of Simple Linear Regression / Important Concepts Related to Simple Linear Regression / Five-Step Model for Hypothesis Testing

12. Significant Relationships: Multiple Linear Regression

Purpose of Multiple Linear Regression / Important Concepts Related to Multiple Linear Regression / Types of Multiple Linear Regression / Handling Nominal Level Variables

Appendices: Statistical Tables