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Hierarchical Linear Models: Applications and Data Analysis Methods
PART I THE LOGIC OF HIERARCHICAL LINEAR MODELING Series Editor 's Introduction to Hierarchical Linear Models Series Editor 's Introduction to the Second Edition 1.Introduction 2.The Logic ofExpand
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Neighborhoods and violent crime: a multilevel study of collective efficacy.
It is hypothesized that collective efficacy, defined as social cohesion among neighbors combined with their willingness to intervene on behalf of the common good, is linked to reduced violence. ThisExpand
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HLM 6: Hierarchical Linear and Nonlinear Modeling
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Hierarchical Linear Models: Applications and Data
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Systematic Social Observation of Public Spaces: A New Look at Disorder in Urban Neighborhoods1
This article assesses the sources and consequences of public disorder. Based on the videotaping and systematic rating of more than 23,000 street segments in Chicago, highly reliable scales of socialExpand
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Neighborhood inequality, collective efficacy, and the spatial dynamics of urban violence
Highlighting resource inequality, social processes, and spatial interdependence, this study combines structural characteristics from the 1990 census with a survey of 8,872 Chicago residents in 1995Expand
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Relationship between Urban Sprawl and Physical Activity, Obesity, and Morbidity
Purpose. To determine the relationship between urban sprawl, health, and health-related behaviors. Design. Cross-sectional analysis using hierarchical modeling to relate characteristics ofExpand
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Seeing Disorder: Neighborhood Stigma and the Social Construction of “Broken Windows”
This article reveals the grounds on which individuals form perceptions of disorder. Integrating ideas about implicit bias and statistical discrimination with a theoretical framework on neighborhoodExpand
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Social anatomy of racial and ethnic disparities in violence.
We analyzed key individual, family, and neighborhood factors to assess competing hypotheses regarding racial/ethnic gaps in perpetrating violence. From 1995 to 2002, we collected 3 waves of data onExpand
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Statistical power and optimal design for multisite randomized trials.
The multisite trial, widely used in mental health research and education, enables experimenters to assess the average impact of a treatment across sites, the variance of treatment impact acrossExpand
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