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Statistics for Criminal Justice and Criminology in Practice and Research

Statistics for Criminal Justice and Criminology in Practice and Research
An Introduction

January 2013 | 608 pages | SAGE Publications, Inc
Statistics for Criminal Justice and Criminology in Practice and Research is an engaging and comprehensive introduction to the study of basic statistics for students pursuing careers as practitioners or researchers in both Criminal Justice and Criminology programs. This student-friendly text shows how to calculate a variety of descriptive and inferential statistics, recognize which statistics are appropriate for particular data analysis situations, and perform hypothesis tests using inferential statistics.

But it is much more than a "cook book." It encourages readers to think critically about the strengths and limitations of the statistics they are calculating, as well as how they may be misapplied and misleading. Examples of statistics and statistical analyses are drawn from the worlds of the practitioner as well as the policymaker and researcher. Students will also gain a clear understanding of major ethical issues in conducting statistical analyses and reporting results, as well as insight into the realities of the life of researchers and practitioners as they use statistics and statistical analyses in their day-to-day activities.

Chapter 1. The Study of Statistics in Criminal Justice
Chapter 2. Scientific Research and Statistical Analysis
Chapter 3. Basic Descriptive Univariate Analysis
Chapter 4. Describing Univariate Distributions
Chapter 5. Distributions: Normal and Otherwise
Chapter 6. An Introduction to Probability Theory and Probability Distributions
Chapter 7. Univariate Inferential Statistics: Sampling Distributions and Population Parameter Estimations
Chapter 8. Bivariate Hypothesis Testing With Nominal and Ordinal Variables
Chapter 9. Bivariate Hypothesis Testing For the Difference Between Two Means
Chapter 10. Bivariate Hypothesis Testing With One-Way Analysis of Variance
Chapter 11. Bivariate Linear Regession and Correlation and Linear Partial Regression and Correlation
Chapter 12. Multivariate Linear Regression and Correlation Analysis and Logistic Regression – An Introduction
Chapter 13. Nonparametric Statistics
Chapter 14. Real Life Adventures of Statistics Users
Chapter 15. Summary and Conclusions
Answers to Questions
List of Key Formulas

Thought it very useful for our dissertation students

Mrs Anne Esposito
Department of Criminology, University of Leicester
February 24, 2015

It's good to be able to direct students to a course that applies statistics to criminology. This book will be helpful to students who want to learn more about statistical concepts; it doesn't offer standard 'how to use SPSS' guidance. As a result, it's a more advanced text. It has useful exercises and discussion questions.

Dr Esther Van Ginneken
Social Science , Liverpool Hope University
July 3, 2014

Under consideration for future adoption.

Dr Luis Garcia
Justice Studies, Florida Gulf Coast University
August 21, 2013
Key features

Key Features

  • Brief reviews of key research methods concepts include variables, levels of measurement, hypotheses, research design, and sampling.
  • Study tips and possible confusion alerts, as well as end-of-chapter Concepts to Master lists, review questions, and exercises help students master the content.
  • Annotated figures and graphs help illustrate statistical concepts and procedures discussed in the text.
  • The basic ideas underlying inferential statistical analyses are presented in plain, easy to understand language.
  • Pause, Think, and Explore boxes follow many of the mathematical formulas and are intended to help students develop an understanding of how the formula works, gain confidence in working with the mathematics, and develop better insight about what the statistics being calculated are revealing about the data being analyzed.
  • From the Literature boxes offer excerpts from both practitioner publications and articles peer reviewed journals to help connect the discussion of statistical analysis with the day-to-day professional activities of both practitioners and researchers.
  • An introduction to least squares multivariate analysis and logistic regression is also included.

Sample Materials & Chapters

Table of Contents

Chapter 14

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