书目名称 | Statistics in Criminal Justice |
编辑 | David Weisburd,Chester Britt |
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概述 | New edition contains two new chapters, computer exercises with SPSS and Stata.Written for use as a classroom text and suitable as a reference for researchers.Emphasizes and illustrates how different t |
图书封面 |  |
描述 | .Statistics in Criminal Justice. takes an approach that emphasizes the application and interpretation of statistics in research in crime and justice. This text is meant for both students and researchers who want to gain a basic understanding of common statistical methods used in this field. In general, the text relies on a building-block approach, meaning that each chapter helps to prepare the student for the chapters that follow. It also means that the level of sophistication of the text increases as the text progresses. Throughout the text there is an emphasis on comprehension and interpretation, rather than computation. However, as the statistical methods discussed become more complex and demanding to compute, there is increasing use and integration of statistical software. This approach is meant to provide the reader with an accessible, yet sophisticated understanding of statistics that can be used to examine real-life criminal justice problems with popular statistical software programs. The primary goal of the text is to give students and researchers a basic understanding of statistical concepts and methods that will leave them with the confidence and the tools for tackling mo |
出版日期 | Textbook 2014Latest edition |
关键词 | Multivariate regression; SPSS exercises; Stata exercises; experimental design for Criminal Justice; grow |
版次 | 4 |
doi | https://doi.org/10.1007/978-1-4614-9170-5 |
isbn_softcover | 978-1-4899-7762-5 |
isbn_ebook | 978-1-4614-9170-5 |
copyright | Springer Science+Business Media New York 2014 |