Statistics in Criminology and Criminal Justice Analysis and Interpretation
by Walker, Jeffery T.; Maddan, SeanEdition: 4th
Format: Hardcover
Pub. Date: 2012-09-10
Publisher(s): Jones & Bartlett Learning
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Summary
The updated Fourth Edition of Statistics in Criminology and Criminal Justice: Analysis and Interpretation provides criminal justice students with a firm knowledge base in the theory and application of statistical analysis. A great introduction to the theory and practice of statistics, the Fourth Edition focuses on data collection, knowing which statistics to use with what data, how to interpret output of SPSS (an IBM company), explanations and demonstrations of statistical procedures, why procedures give the results they do, how to interpret the output of statistical analyses, and more. Each chapter has been updated to include new information on statistical output, revised data files, additional data sets, and extensive use of flowcharts to increase students#146; confidence in analyzing and conducting statistical research.
Table of Contents
Chapter1 The Logic of Comparisons and Analysis
Chapter2 Variables and Measurement
Chapter3 Understanding Data Through Organization
Chapter4 Measures of Central Tendency
Chapter5 Measures of Dispersion
Chapter6 The Form of a Distribution
Chapter7 Introduction to Bivariate Descriptive Statistics
Chapter8 Measures of Existence and Statistical Significance
Chapter9 Measures of Strength of a Relationship
Chapter10 Measures of Direction and Nature of a Relationship
Chapter11 Introduction to Inferential Analysis
Chapter12 Hypothesis Testing
Chapter13 Hypothesis Tests
Chapter14 Analysis of Variance (ANOVA)
Chapter15 Introduction to Multivariate Statistics
Chapter16 Multiple Regression I: Ordinary Least Squares Regression
Chapter17 Multiple Regression II: Limited Dependent Variables
Chapter18 Factor Analysis and Structural Equation Modeling
Chapter19 Putting It All Together
AppendixA Math Review and Practice Test
AppendixB Statistical Tables
AppendixC The Greek Alphabet
AppendixD Variables in Data Sets
Chapter2 Variables and Measurement
Chapter3 Understanding Data Through Organization
Chapter4 Measures of Central Tendency
Chapter5 Measures of Dispersion
Chapter6 The Form of a Distribution
Chapter7 Introduction to Bivariate Descriptive Statistics
Chapter8 Measures of Existence and Statistical Significance
Chapter9 Measures of Strength of a Relationship
Chapter10 Measures of Direction and Nature of a Relationship
Chapter11 Introduction to Inferential Analysis
Chapter12 Hypothesis Testing
Chapter13 Hypothesis Tests
Chapter14 Analysis of Variance (ANOVA)
Chapter15 Introduction to Multivariate Statistics
Chapter16 Multiple Regression I: Ordinary Least Squares Regression
Chapter17 Multiple Regression II: Limited Dependent Variables
Chapter18 Factor Analysis and Structural Equation Modeling
Chapter19 Putting It All Together
AppendixA Math Review and Practice Test
AppendixB Statistical Tables
AppendixC The Greek Alphabet
AppendixD Variables in Data Sets
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