Journal ArticleDOI
Black Neighbors, Higher Crime? The Role of Racial Stereotypes in Evaluations of Neighborhood Crime
Lincoln Quillian,Devah Pager +1 more
TLDR
The authors investigated the relationship between neighborhood racial composition and perceptions residents have of their neighborhood's level of crime and found that the percentage of young black men in a neighborhood is positively associated with perceptions of the neighborhood crime level, even after controlling for two measures of crime rates and other neighborhood characteristics.Abstract:
This article investigates the relationship between neighborhood racial composition and perceptions residents have of their neighborhood’s level of crime. The study uses questions about perceptions of neighborhood crime from surveys in Chicago, Seattle, and Baltimore, matched with census data and police department crime statistics. The percentage young black men in a neighborhood is positively associated with perceptions of the neighborhood crime level, even after controlling for two measures of crime rates and other neighborhood characteristics. This supports the view that stereotypes are influencing perceptions of neighborhood crime levels. Variation in effects by race of the perceiver and implications for racial segregation are discussed.read more
Citations
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Journal ArticleDOI
The Mark of a Criminal Record
TL;DR: The findings of this study reveal an important, and much underrecognized, mechanism of stratification in the criminal justice system, which presents a major barrier to employment, with important implications for racial disparities.
Journal ArticleDOI
Seeing Disorder: Neighborhood Stigma and the Social Construction of Broken Windows
TL;DR: For instance, this paper found that as the concentration of minority groups and poverty increases, residents of all races perceive heightened disorder even after they account for an extensive array of personal characteristics and independently observed neighborhood conditions.
Journal ArticleDOI
The Paranoid Optimist: An Integrative Evolutionary Model of Cognitive Biases:
Martie G. Haselton,Daniel Nettle +1 more
TL;DR: This article elaborate error management theory (EMT), predicting that if judgments are made under uncertainty, and the costs of false positive and false negative errors have been asymmetric over evolutionary history, selection should have favored a bias toward making the least costly error.
Journal ArticleDOI
New approaches to understanding racial prejudice and discrimination
TL;DR: The authors reviewed and criticised recent work on prejudice, discrimination, and racism, with an emphasis on evidence of continuing discrimination in the United States and efforts to understand its basis in prejudice, and argued that research on implicit prejudice, largely developed by psychologists, provides an important new understanding of the basis of discrimination and should be incorporated in sociological accounts.
References
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Hierarchical Linear Models: Applications and Data Analysis Methods
TL;DR: The Logic of Hierarchical Linear Models (LMLM) as discussed by the authors is a general framework for estimating and hypothesis testing for hierarchical linear models, and it has been used in many applications.
Journal ArticleDOI
Hierarchical Linear Models: Applications and Data Analysis Methods.
TL;DR: This chapter discusses Hierarchical Linear Models in Applications, Applications in Organizational Research, and Applications in the Study of Individual Change Applications in Meta-Analysis and Other Cases Where Level-1 Variances are Known.
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Regression Models for Categorical and Limited Dependent Variables
TL;DR: In this article, the authors propose Continuous Outcomes Binary Outcomes Testing and Fit Ordinal Outcomes Numeric Outcomes and Numeric Numeric Count Outcomes (NOCO).
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The Authoritarian Personality
TL;DR: The Authoritarian Personality "invented a set of criteria by which to define personality traits, ranked these traits and their intensity in any given person on what it called the 'F scale' (F for fascist)".
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Multilevel Statistical Models
TL;DR: In this article, the authors present a general classification notation for multilevel models and a discussion of the general structure and maximum likelihood estimation for a multi-level model, as well as the adequacy of Ordinary Least Squares estimates.