Statistics in criminal justice [electronic resource] / David Weisburd, Hebrew University of Jerusalem, Jerusalem, Israel and George Mason University, Fairfax, VA, USA, and Chester Britt, Northeastern University, Boston, MA, USA.
Weisburd, David, author.; Britt, Chester L., author.
2014
HV7415
Available Online

Linked e-resources

Linked Resource Online Access

Details

Title Statistics in criminal justice [electronic resource] / David Weisburd, Hebrew University of Jerusalem, Jerusalem, Israel and George Mason University, Fairfax, VA, USA, and Chester Britt, Northeastern University, Boston, MA, USA.
Author Weisburd, David, author.
Edition Fourth edition.
ISBN 9781461491705 electronic book
1461491703 electronic book
9781461491699
DOI https://doi.org/10.1007/978-1-4614-9170-5
Published New York : Springer, [2014]
Copyright ©2014
Language English
Description 1 online resource (xvii, 783 pages) : illustrations.
Other Standard Identifiers 10.1007/978-1-4614-9170-5 doi
Call Number HV7415
Dewey Decimal Classification 364/.015195
Summary 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 More advanced discussions of statistical power, multi-nomial and ordinal regression. 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 texts 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.
Bibliography, etc. Note Includes bibliographical references and index.
Access Note Access limited to authorized users.
Source of Description Description based on online resource; title from PDF title page (SpringerLink, viewed Dec. 24, 2013).
Added Author Britt, Chester L., author.
Linked Resources Online Access
Record Appears in Online Resources > Ebooks
All Resources
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
Measuring the Association for Nominal and Ordinal Variables
Measuring Association for Interval-Level Data
An Introduction to Bivariate Regression
Multivariate Regression
Multivariate Regression: Additional Topics
Logistic Regression
Multivariate Regression with Multiple Category Nominal or Ordinal Measures
Growth Curve Modeling
Hierarchical Design
Special Topics: Confidence Intervals
Special Topics: Statistical Power
Special Topics: Experimental Design
Appendices
Glossary
Index.

Browse Subjects

Show more subjects...

Statistics

from
to
Export