Status
Available
Call number
Publication
McGraw-Hill [3rd Edition]
Pages
689
Description
Statistical Methods for Criminology and Criminal Justice discusses the basic statistical procedures comprehensively while keeping it approachable and readable for students. Useful at both the introductory and intermediate levels, this text contains in-depth coverage of descriptive statistics, including graphical displays of data and exploratory data analysis, along with bivariate and multivariate analyses. Emphasis is placed equally on calculation and interpretation. The newly revised third edition offers new up-to-date crime data information and new research examples including specifics relating to youth crime, youth violence, hate crime and much more.
Description
Table of Contents
Chapter 1. The Importance of Statistics in the Criminological Sciences or Why Do I have to Learn This Stuff?
PART I. Univariate Analysis: Describing Variable Distributions
Chapter 2. Levels of Measurement and Aggregation
Chapter 3. Understanding Data Distributions: Tabular and Graphical Techniques
Chapter 4. Measures of Central Tendency
Chapter 5. Measures of Dispersion
PART II. Making Inferences in Univariate Analysis: Generalizing From a Sample to the Population
Chapter 6. Probability, Probability Distributions, and an Introduction to Inferential Testing
Chapter 7. Point Estimation and Confidence Intervals
Chapter 8. From Estimation to Statistical Tests: Hypothesis Testing for One Population Mean and Proportion
PART III. Bivariate Analysis: Relationships Between Two Variables
Chapter 9. Testing Hypotheses With Categorical Data
Chapter 10. Hypothesis Tests Involving Two Population Means or Proportions
Chapter 11. Hypothesis Tests Involving Three or More Population Means: Analysis of Variance
Chapter 12. Bivariate Correlation and Regression
PART IV. Multivariable Analysis: Predicting One Dependent Variable with Two or More Independent Variables
Chapter 13. Controlling for a Third Variable: Multiple OLS Regression
Chapter 14. Regression Analysis With a Dichotomous Dependent Variable: Logit Models
Chapter 1. The Importance of Statistics in the Criminological Sciences or Why Do I have to Learn This Stuff?
PART I. Univariate Analysis: Describing Variable Distributions
Chapter 2. Levels of Measurement and Aggregation
Chapter 3. Understanding Data Distributions: Tabular and Graphical Techniques
Chapter 4. Measures of Central Tendency
Chapter 5. Measures of Dispersion
PART II. Making Inferences in Univariate Analysis: Generalizing From a Sample to the Population
Chapter 6. Probability, Probability Distributions, and an Introduction to Inferential Testing
Chapter 7. Point Estimation and Confidence Intervals
Chapter 8. From Estimation to Statistical Tests: Hypothesis Testing for One Population Mean and Proportion
PART III. Bivariate Analysis: Relationships Between Two Variables
Chapter 9. Testing Hypotheses With Categorical Data
Chapter 10. Hypothesis Tests Involving Two Population Means or Proportions
Chapter 11. Hypothesis Tests Involving Three or More Population Means: Analysis of Variance
Chapter 12. Bivariate Correlation and Regression
PART IV. Multivariable Analysis: Predicting One Dependent Variable with Two or More Independent Variables
Chapter 13. Controlling for a Third Variable: Multiple OLS Regression
Chapter 14. Regression Analysis With a Dichotomous Dependent Variable: Logit Models
Collection
Language
Original language
English
Physical description
689 p.; 9.4 inches
ISBN
0073129240 / 9780073129242
Call number
MATH F