Statistics for Criminal Justice and Criminology in Practice and Research

Jack Fitzgerald, Professor Emeritus at Knox College in Galesburg, Illinois, received his B.A. from Harvard College and M.A and Ph.D. from the University of Iowa. His professional interests include research methods, statistics, deviance and criminology. He taught sociology, including research methods and statistics, at Knox College. He is co-author (with Steven M. Cox) of Research Methods and Statistics in Criminal Justice: An Introduction and Police in Community Relations, as well as several research reports and articles in the professional literature. Jerry Fitzgerald received his B.A. from Cornell College and his M.A. from the University of Iowa. He worked as a research associate in alcoholism studies in the Department of Psychiatry at the University of Iowa. He is author or co-author of over 40 research reports on alcohol and drug abuse published in peer reviewed professional journals.

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.

• Chapter 1. The Study of Statistics in Criminal JusticeChapter 2. Scientific Research and Statistical AnalysisChapter 3. Basic Descriptive Univariate AnalysisChapter 4. Describing Univariate DistributionsChapter 5. Distributions: Normal and OtherwiseChapter 6. An Introduction to Probability Theory and Probability DistributionsChapter 7. Univariate Inferential Statistics: Sampling Distributions and Population Parameter EstimationsChapter 8. Bivariate Hypothesis Testing With Nominal and Ordinal VariablesChapter 9. Bivariate Hypothesis Testing For the Difference Between Two MeansChapter 10. Bivariate Hypothesis Testing With One-Way Analysis of VarianceChapter 11. Bivariate Linear Regession and Correlation and Linear Partial Regression and CorrelationChapter 12. Multivariate Linear Regression and Correlation Analysis and Logistic Regression – An IntroductionChapter 13. Nonparametric StatisticsChapter 14. Real Life Adventures of Statistics UsersChapter 15. Summary and ConclusionsGlossaryAnswers to QuestionsBibliographyList of Key Formulas