Statistics for criminology and criminal justice. ([2019])

• Record Type: Book
• Further Information: Note: Jacinta M. Gau, University of Central Florida.
• Authors: Gau, Jacinta M, 1982-
• Contents: PART I. DESCRIPTIVE STATISTICS; 1. Introduction to the Use of Statistics in Criminal Justice and Criminology; Science: Basic Terms and Concepts; Types of Scientific Research in Criminal Justice and Criminology; Software Packages for Statistical Analysis; Organization of the Book; 2. Types of Variables and Levels of Measurement; Units of Analysis; Independent and Dependent Variables; Relationships Between Variables: A Cautionary Note; Levels of Measurement; 3. Organizing, Displaying, and Presenting Data; Data Distributions; Graphs and Charts; Grouped Data; SPSS; 4. Measures of Central Tendency; The Mode; The Median; The Mean; Using the Mean and Median to Determine Distribution Shape; Deviation Scores and the Mean as the Midpoint of the Magnitudes; SPSS; 5. Measures of Dispersion; The Variation Ratio; The Range; The Variance; The Standard Deviation; The Standard Deviation and the Normal Curve; SPSS; PART II. PROBABILITY AND DISTRIBUTIONS; 6. Probability; Discrete Probability: The Binomial Probability Distribution; Continuous Probability: The Standard Normal Curve; 7. Population, Sample, and Sampling Distributions; Empirical Distributions: Population and Sample Distributions; Theoretical Distributions: Sampling Distributions; Sample Size and the Sampling Distribution: The z and t Distributions; 8. Point Estimates and Confidence Intervals; The Level of Confidence: The Probability of Being Correct; Confidence Intervals for Means With Large Samples; Confidence Intervals for Means With Small Samples; Confidence Intervals With Proportions and Percentages; PART III. HYPOTHESIS TESTING; 9. Hypothesis Testing: A Conceptual Introduction; Sample Statistics and Population Parameters: Sampling Error or True Difference?; Null and Alternative Hypotheses; 10. Hypothesis Testing With Two Categorical Variables: Chi-Square; Conceptual Basis of the Chi-Square Test: Statistical Dependence and Independence; The Chi-Square Test of Independence; Measures of Association; SPSS; 11. Hypothesis Testing With Two Population Means or Proportions; Two-Population Tests for Differences Between Means: t Tests; Two-Population Tests for Differences Between Proportions; SPSS; 12. Hypothesis Testing With Three or More Population Means: Analysis of Variance; ANOVA: Different Types of Variances; When the Null Is Rejected: A Measure of Association and Post Hoc Tests; SPSS; 13. Hypothesis Testing With Two Continuous Variables: Correlation; Beyond Statistical Significance: Sign, Magnitude, and Coefficient of Determination; SPSS; Part 2; 14. Introduction to Regression Analysis; One Independent Variable and One Dependent Variable: Bivariate Regression; Adding More Independent Variables: Multiple Regression; Ordinary Least Squares Regression in SPSS; When the Dependent Variable Is Not Continuous and Normally Distributed: Alternatives to OLS;
• Edition: Third edition
• Publisher Details: Los Angeles : SAGE Publications
• Publication Date: 2019
• Extent: 1 online resource (xxi, 428 pages)
• Subjects: 519.5; Criminal statistics; Statistical methods
• Languages: English
• ISBNs: 9781506391793; 1506391796
• Related ISBNs: 9781506391786
• Notes: Note: Includes bibliographical references and index.
• Access Rights: Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
• Access Usage: Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.