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Advanced Statistics in Criminology and Criminal Justice

Artikelnummer: 978-3-030-67737-4
Einband: Fester Einband
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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 designstudies. 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.

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 designstudies. 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.

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VerlagSpringer
EinbandFester Einband
Erscheinungsjahr2021
Seitenangabe560 S.
AusgabekennzeichenEnglisch
MasseH26.0 cm x B18.3 cm x D3.6 cm 1'237 g
Auflage21005 A. Fifth Edition 2022
AutorWeisburd, David / Wilson, David B. / Wooditch, Alese / Britt, Chester

Über den Autor David Weisburd

Muneeba Azam is a doctoral student in the Department of Criminology, Law and Society at George Mason University. Jordan Kenyon (née Nichols) is senior lead scientist at Booz Allen Hamilton. She received her Ph.D. in Criminology from George Mason University in 2021.Kiseong Kuen is a doctoral student in the Department of Criminology, Law and Society at George Mason University and a graduate research assistant for the Center for Evidence-Based Crime Policy. Yi-Fang Lu is a doctoral student and a graduate research assistant in the Department of Criminology, Law and Society at George Mason University. Kevin Petersen is a doctoral student in the Department of Criminology, Law and Society at George Mason University and a graduate research assistant for the Center for Evidence-Based Crime Policy. Sean Wire is a doctoral student in the Department of Criminology, Law and Society at George Mason University and a graduate research assistant for the Center for Evidence-Based Crime Policy.Xiaoyun Wu is a senior research associate at the National Police Foundation. She received her Ph.D. in Criminology from George Mason University in 2019.Taryn Zastrow is a doctoral student in the Department of Criminology, Law and Society at George Mason University and a graduate research assistant for the Center for Evidence-Based Crime Policy.David Weisburd is Distinguished Professor at George Mason University and Executive Director of the Center for Evidence-Based Crime Policy, and Walter E. Meyer Professor of Law and Criminal Justice at the Hebrew University Faculty of Law in Jerusalem. He has received many awards for his contributions to criminology and crime prevention including the Stockholm Prize in Criminology (2010), the Sutherland and Vollmer Awards from the American Society of Criminology, and the Israel Prize. Professor Weisburd is the faculty mentor for the Police Research Group.

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