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Statistics for Criminology and Criminal Justice

Statistics for Criminology and Criminal Justice

Autorzy
Wydawnictwo SAGE Publications Inc
Data wydania 19/03/2021
Liczba stron 616
Forma publikacji książka w miękkiej oprawie
Poziom zaawansowania Dla szkół wyższych i kształcenia podyplomowego
Język angielski
ISBN 9781544375700
Kategorie Metody badań: zagadnienia ogólne
850.50 PLN (z VAT)
$191.32 / €182.35 / £158.29 /
Produkt na zamówienie
Dostawa 3-4 tygodnie
Ilość
Do schowka

Opis książki

Communicating the excitement and importance of criminal justice research, this practical and comprehensive book shows students how to perform and understand statistical analyses, while helping them recognize the connection between statistical analyses used in everyday life and their importance to criminology and criminal justice. This updated Fifth Edition is packed with real-world case studies and contemporary examples utilizing the most current crime data and empirical research available. Each chapter presents a particular statistical method in the context of a substantive research story.

Statistics for Criminology and Criminal Justice

Spis treści

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

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