Statistics for Criminal Justice and Criminology
Edition: 3rd 2010
List price: $189.00
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Description: 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. An excellent reference for anyone in the criminal justice field or in general social science.
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All the information you need in one place! Each Study Brief is a summary of one specific subject; facts, figures, and explanations to help you learn faster.
List price: $189.00
Copyright year: 2010
Publisher: Prentice Hall PTR
Publication date: 12/31/2008
Size: 7.00" wide x 9.00" long x 1.00" tall
|Statistics in the Research Process|
|Using SPSS in Social Research|
|Graphic Presentation and Frequency Distributions|
|Measures of Central Tendency|
|Measures of Variability|
|The Unit Normal Distribution and Standard Scores|
|Statistical Inference and Tests of Significance|
|Interval-Level Tests of Significance|
|Nominal-Level Nonparametric Tests of Significance|
|Ordinal- and Interval-Level Nonparametric Tests of Significance|
|Measures of Association I: Nominal- and Ordinal Levels of Measurement|
|Measures of Association II: Interval-Level and Alternative Level-of-Measurement Procedures|
|An Introduction to Multivariate Statistics|
|Multivariate Statistics: Multiple Regression|
|Multivariate statistics: Multiple Regression with Limited Dependent Variables|
|Answers For Chapter Numerical Problems|