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  2. Sociologi
  3. Social forskning og statistik

Advanced Statistics in Criminology and Criminal Justice

Af: Alese Wooditch, David Weisburd, David B. Wilson, Chester Britt Engelsk Paperback

Advanced Statistics in Criminology and Criminal Justice

Af: Alese Wooditch, David Weisburd, David B. Wilson, Chester Britt Engelsk Paperback
Tjek vores konkurrenters priser

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.


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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 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.


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Produktdetaljer
Sprog: Engelsk
Sider: 550
ISBN-13: 9783030677404
Indbinding: Paperback
Udgave:
ISBN-10: 3030677400
Kategori: Social forskning og statistik
Udg. Dato: 23 okt 2022
Længde: 0mm
Bredde: 178mm
Højde: 254mm
Forlag: Springer Nature Switzerland AG
Oplagsdato: 23 okt 2022
Forfatter(e): Alese Wooditch, David Weisburd, David B. Wilson, Chester Britt
Forfatter(e) Alese Wooditch, David Weisburd, David B. Wilson, Chester Britt

Kategori Social forskning og statistik

ISBN-13 9783030677404

Sprog Engelsk

Indbinding Paperback

Sider 550

Udgave

Længde 0mm

Bredde 178mm

Højde 254mm

Udg. Dato 23 okt 2022

Oplagsdato 23 okt 2022

Forlag Springer Nature Switzerland AG

Kategori sammenhænge