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- Author: David Weisburd
- Publisher: Springer
- ISBN-10: 1441941622
- ISBN-13: 9781441941626
- Format: 17.8 x 25.4 x 4.1 cm, softcover
- Language: English
- SAVE -10% with code: EXTRA
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Description
Statistics in Criminal Justice introduces basic statistics and statistical concepts in a building-block method with each chapter building in sophistication to prepare for the concepts that follow. While emphasizing comprehension and interpretation, rather than computation, the book takes a serious approach to statistics, which is tailored to the real world of crime and justice. This provides the reader with an accessible but sophisticated understanding of statistics as applied to real-life criminal justice problems. The updated and expanded 3rd edition includes additional chapter-end exercises; expanded computer exercises that can be performed in the Student Version of SPSS; extended discussion of multivariate regression models, including interaction and non-linear effects; a new chapter on multinomial and ordinal logistic regression models, designed for comprehension and interpretation; and additional material on multivariate regression models. The book is designed for undergraduate and beginning graduate statistics courses in criminal justice, and as a reference for researchers.
EXTRA 10 % discount with code: EXTRA
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- Author: David Weisburd
- Publisher: Springer
- ISBN-10: 1441941622
- ISBN-13: 9781441941626
- Format: 17.8 x 25.4 x 4.1 cm, softcover
- Language: English English
Statistics in Criminal Justice introduces basic statistics and statistical concepts in a building-block method with each chapter building in sophistication to prepare for the concepts that follow. While emphasizing comprehension and interpretation, rather than computation, the book takes a serious approach to statistics, which is tailored to the real world of crime and justice. This provides the reader with an accessible but sophisticated understanding of statistics as applied to real-life criminal justice problems. The updated and expanded 3rd edition includes additional chapter-end exercises; expanded computer exercises that can be performed in the Student Version of SPSS; extended discussion of multivariate regression models, including interaction and non-linear effects; a new chapter on multinomial and ordinal logistic regression models, designed for comprehension and interpretation; and additional material on multivariate regression models. The book is designed for undergraduate and beginning graduate statistics courses in criminal justice, and as a reference for researchers.
Reviews