Author:
Publisher:
ISBN:
Category : Amherst (N.Y.)
Languages : en
Pages : 78
Book Description
Neighborhood Statistics Program
Neighborhood Statistics
Author: United States. Congress. House. Committee on Post Office and Civil Service. Subcommittee on Census and Population
Publisher:
ISBN:
Category : Community organization
Languages : en
Pages : 76
Book Description
Publisher:
ISBN:
Category : Community organization
Languages : en
Pages : 76
Book Description
Neighborhood Statistics from the 1980 Census
Author: Molly Abramowitz
Publisher:
ISBN:
Category : Government publications
Languages : en
Pages : 16
Book Description
Publisher:
ISBN:
Category : Government publications
Languages : en
Pages : 16
Book Description
Neighborhood Statistics Program
Neighborhood Statistics Program
Bureau of the Census Neighborhood Statistics Program
Author: United States. Bureau of the Census. Neighborhood Statistics Program
Publisher:
ISBN:
Category : Covington (Ky.)
Languages : en
Pages :
Book Description
Publisher:
ISBN:
Category : Covington (Ky.)
Languages : en
Pages :
Book Description
Proceedings of the ... Public Health Conference on Records and Statistics
Housing Data Resources
American Neighborhoods and Residential Differentiation
Author: Michael J. White
Publisher: Russell Sage Foundation
ISBN: 1610445589
Category : Social Science
Languages : en
Pages : 352
Book Description
Residential patterns are reflections of social structure; to ask, "who lives in which neighborhoods," is to explore a sorting-out process that is based largely on socioeconomic status, ethnicity, and life cycle characteristics. This benchmark volume uses census data, with its uniquely detailed information on small geographic areas, to bring into focus the familiar yet often vague concept of neighborhood. Michael White examines nearly 6,000 census tracts (approximating neighborhoods) in twenty-one representative metropolitan areas, from Atlanta to Salt Lake City, Newark to San Diego. The availability of statistics spanning several decades and covering a wide range of demographic characteristics (including age, race, occupation, income, and housing quality) makes possible a rich analysis of the evolution and implications of differences among neighborhoods. In this complex mosaic, White finds patterns and traces them over time—showing, for example, how racial segregation has declined modestly while socioeconomic segregation remains constant, and how population diffusion gradually affects neighborhood composition. His assessment of our urban settlement system also illuminates the social forces that shape contemporary city life and the troubling policy issues that plague it. A Volume in the Russell Sage Foundation Census Series
Publisher: Russell Sage Foundation
ISBN: 1610445589
Category : Social Science
Languages : en
Pages : 352
Book Description
Residential patterns are reflections of social structure; to ask, "who lives in which neighborhoods," is to explore a sorting-out process that is based largely on socioeconomic status, ethnicity, and life cycle characteristics. This benchmark volume uses census data, with its uniquely detailed information on small geographic areas, to bring into focus the familiar yet often vague concept of neighborhood. Michael White examines nearly 6,000 census tracts (approximating neighborhoods) in twenty-one representative metropolitan areas, from Atlanta to Salt Lake City, Newark to San Diego. The availability of statistics spanning several decades and covering a wide range of demographic characteristics (including age, race, occupation, income, and housing quality) makes possible a rich analysis of the evolution and implications of differences among neighborhoods. In this complex mosaic, White finds patterns and traces them over time—showing, for example, how racial segregation has declined modestly while socioeconomic segregation remains constant, and how population diffusion gradually affects neighborhood composition. His assessment of our urban settlement system also illuminates the social forces that shape contemporary city life and the troubling policy issues that plague it. A Volume in the Russell Sage Foundation Census Series
Advanced Statistics in Criminology and Criminal Justice
Author: David Weisburd
Publisher: Springer Nature
ISBN: 3030677389
Category : Social Science
Languages : en
Pages : 552
Book Description
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.
Publisher: Springer Nature
ISBN: 3030677389
Category : Social Science
Languages : en
Pages : 552
Book Description
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.