Statistics for Criminal Justice and Criminology in Practice and Research-by Jack Fitzgerald and Jerry Fitzgerald-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…mehr
Statistics for Criminal Justice and Criminology in Practice and Research-by Jack Fitzgerald and Jerry Fitzgerald-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.Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
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.
Inhaltsangabe
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 Glossary Answers to Questions Bibliography List of Key Formulas
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 Glossary Answers to Questions Bibliography List of Key Formulas
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