Statistics for Criminal Justice and Criminology by Dean J. ChampionStatistics for Criminal Justice and Criminology by Dean J. Champion

Statistics for Criminal Justice and Criminology

byDean J. Champion, Richard D. Hartley

Paperback | December 31, 2008

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Using a non-technical approach, this book covers the full range of statistics topics–from descriptive statistical techniques to tests of significance and measures of association for two-  and k- variable combinations for different measurement levels, multiple regression and multivariate analysis, collinearity, ordinary least squares regression, part and partial correlation, error, parsimony, and robustness.  Chapters are filled with examples and illustrations from contemporary criminal justice and criminology literature with an emphasis on how statistics fits into the research process and how causality is established. This edition devotes a full chapter to SPSS, includes interpretive statistical tables with explanatory headnotes and footnotes, and offers step-by-step formulae to heighten the meaningfulness of statistics for criminal justice and social science majors.
Title:Statistics for Criminal Justice and CriminologyFormat:PaperbackDimensions:552 pages, 9.1 × 6.9 × 1.3 inPublished:December 31, 2008Publisher:Pearson EducationLanguage:English

The following ISBNs are associated with this title:

ISBN - 10:0136135854

ISBN - 13:9780136135852

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Table of Contents

1.      Statistics in the Research Process

2.      Using SPSS in Social Research

3.      Graphic Presentation and Frequency Distributions

4.      Measures of Central Tendency

5.      Measures of Variability

6.      The Unit Normal Distribution and Standard Scores

7.      Statistical Inference and Tests of Significance

8.      Interval-Level Tests of Significance

9.      Nominal-Level Nonparametric Tests of Significance

10.  Ordinal- and Interval-Level Nonparametric Tests of Significance

11.  Measures of Association I: Nominal- and Ordinal Levels of Measurement

12.  Measures of Association II: Interval-Level and Alternative Level-of-Measurement Procedures

13.  An Introduction to Multivariate Statistics

14.  Multivariate Statistics: Multiple Regression

15.  Multivariate statistics: Multiple Regression with Limited Dependent Variables







Name Index

Subject Index