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Can lend chapters, not whole ebooks
Title
Advanced statistics in criminology and criminal justice / David Weisburd, David B. Wilson, Alese Wooditch, and Chester Britt.
Edition
Fifth edition.
ISBN
9783030677381 (electronic bk.)
3030677389 (electronic bk.)
9783030677374 (print)
Published
Cham, Switzerland : Springer, [2022]
Language
English
Description
1 online resource (ix, 550 pages) : illustrations (some color)
Item Number
10.1007/978-3-030-67738-1 doi
Call Number
HV7415
Dewey Decimal Classification
364.02/1
Summary
This book provides the student, researcher or practitioner with the tools to understand many of the most commonly used advanced statistical analysis tools in criminology and criminal justice, and also to apply them to research problems. The volume is structured around two main topics, giving the user flexibility to find what they need quickly. The first is "the general linear model" which is the main analytic approach used to understand what influences outcomes in crime and justice. It presents a series of approaches from OLS multivariate regression, through logistic regression and multi-nomial regression, hierarchical regression, to count regression. The volume also examines alternative methods for estimating unbiased outcomes that are becoming more common in criminology and criminal justice, including analyses of randomized experiments and propensity score matching. It also examines the problem of statistical power, and how it can be used to better design studies. Finally, it discusses meta analysis, which is used to summarize studies; and geographic statistical analysis, which allows us to take into account the ways in which geographies may influence our statistical conclusions
Bibliography, etc. Note
Includes bibliographical references and index.
Access Note
Access limited to authorized users.
Digital File Characteristics
text file
PDF
Source of Description
Online resource; title from PDF title page (SpringerLink, viewed October 25, 2021).
Available in Other Form
Print version: 9783030677374
Print version: 9783030677398
Print version: 9783030677404