‏435.00 ₪

Statistics in Criminal Justice

‏435.00 ₪
יצא לאור ב
Boston, MA
Softcover reprint of the original 4th ed. 2014
עמודים / Pages
Paperback / softback
תאריך יציאה לאור
1 בינו׳ 2014
With new chapters on data analysis and multi-level models, and fresh exercises in SPSS and Stata, this fourth edition provides a solid introduction to the topic. Real-life examples show how statistical results are influenced by differing research methods.
Statistics in Criminal Justice takes an approach that emphasizes the application and interpretation of statistics in research in crime and justice. This text is meant for both students and researchers who want to gain a basic understanding of common statistical methods used in this field. In general, the text relies on a building-block approach, meaning that each chapter helps to prepare the student for the chapters that follow. It also means that the level of sophistication of the text increases as the text progresses. Throughout the text there is an emphasis on comprehension and interpretation, rather than computation. However, as the statistical methods discussed become more complex and demanding to compute, there is increasing use and integration of statistical software. This approach is meant to provide the reader with an accessible, yet sophisticated understanding of statistics that can be used to examine real-life criminal justice problems with popular statistical software programs. The primary goal of the text is to give students and researchers a basic understanding of statistical concepts and methods that will leave them with the confidence and the tools for tackling more complex problems on their own. New to the 4th Edition * New chapter on experimental design and the analysis of experimental data. * New chapter on multi-level models, including growth-curve models. * New computer exercises throughout the text to illustrate the use of both SPSS and Stata. * Revision of exercises at the end of each chapter that places greater emphasis on using statistical software. * Additional resources on the text's web site for instructors and students, including answers to selected problems, syntax for replicating text examples in SPSS and Stata, and other materials that can be used to supplement the use of the text.
מידע נוסף
מהדורה Softcover reprint of the original 4th ed. 2014
עמודים / Pages 783
פורמט Paperback / softback
ISBN10 1489977627
יצא לאור ב Boston, MA
תאריך יציאה לאור 1 בינו׳ 2014
תוכן עניינים

Front Matter

Introduction: Statistics as a Research Tool

Measurement: The Basic Building Block of Research

Representing and Displaying Data

Describing the Typical Case: Measures of Central Tendency

How Typical Is the Typical Case?: Measuring Dispersion

The Logic of Statistical Inference: Making Statements About Populations from Sample Statistics

Defining the Observed Significance Level of a Test: A Simple Example Using the Binomial Distribution

Steps in a Statistical Test: Using the Binomial Distribution to Make Decisions About Hypotheses

Chi-Square: A Test Commonly Used for Nominal-Level Measures

The Normal Distribution and Its Application to Tests of Statistical Significance

Comparing Means and Proportions in Two Samples

Comparing Means Among More Than Two Samples: Analysis of Variance

Measures of Association for Nominal and Ordinal Variables

Measuring Association for Interval-Level Data: Pearson's Correlation Coefficient

An Introduction to Bivariate Regression

Multivariate Regression

Multivariate Regression: Additional Topics

Logistic Regression

Multivariate Regression with Multiple Category Nominal or Ordinal Measures: Extending the Basic Logistic Regression Model

Author David Weisburd, Chester Britt