(eBook PDF) Statistics in Criminology and Criminal Justice: Analysis and Interpretation 5th Edition

(eBook PDF) Statistics in Criminology and Criminal Justice: Analysis and Interpretation 5th Edition – Digital Ebook – Instant Delivery Download

Product details:

• ISBN-10 ‏ : ‎ 1284155811
• ISBN-13 ‏ : ‎ 978-1284155815
• Author: Jeffery T. Walker, Sean Maddan

It is critical for students to have a complete understanding of how to collect and analyze social science data to understand the nature of crime and theories of crime causation. This updated Fifth Edition of Statistics in Criminology and Criminal Justice: Analysis and Interpretation provides students with a firm knowledge base in the theory and application of statistical analysis. It 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. With this text, students will develop complete comprehension of how to collect, organize and record, analyze, interpret, and apply the statistical information to prepare them for their careers or graduate study.

Table contents:

Chapter 1 The Logic of Comparisons and Analysis
Chapter 2 Variables and Measurement
Chapter 3 Understanding Data Through Organization
Chapter 4 Measures of Central Tendency
Chapter 5 Measures of Dispersion
Chapter 6 The Form of a Distribution
Chapter 7 Introduction to Bivariate Descriptive Statistics
Chapter 8 Measures of Existence and Statistical Significance
Chapter 9 Measures of Strength of a Relationship
Chapter 10 Measures of Direction and Nature of a Relationship
Chapter 11 Introduction to Inferential Analysis
Chapter 12 Hypothesis Testing
Chapter 13 Hypothesis Tests
Chapter 14 Analysis of Variance (ANOVA)
Chapter 15 Introduction to Multivariate Statistics
Chapter 16 Multiple Regression I: Ordinary Least Squares Regression
Chapter 17 Multiple Regression II: Limited Dependent Variables
Chapter 18 Factor Analysis and Structural Equation Modeling
Chapter 19 Putting It All Together

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