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The Impact of Neighbor Interaction: Examining the Role of Social Trust, Pro-Social Behavior and Networks on Perceived Disorder
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The Impact of Neighbor Interaction: Examining the Role of Social Trust, Pro-Social Behavior and
Neighborhood Networks on Perceived Disorder
Kevin M. Shafer
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Laura McCloud
Robert L. Feldmann III
James Moody
The Ohio State University
Department of Sociology
300 Bricker Hall
190 N. Oval Mall
Columbus, Ohio 43210
ABSTRACT
Our paper evaluates the effects of different types of neighborhood-level inter-personal relationships on perceived neighborhood disorder through use of collective efficacy, social networks and pro-social behavior measures. Social organization and neighborhood research argues that frequent social interaction and trust significantly decrease disorder. To test potential differences from the type of neighborhood interaction we use the Columbus (Ohio) Neighborhood Survey, which includes network nomination, collective efficacy and organizational participation data. We use OLS regression techniques to find that collective efficacy significantly increases positive neighborhood impressions among residents. Additionally, we find that frequent contact through social networks insignificantly influences neighborhood impressions and mixed results regarding pro-social behavior. Our results add to the growing neighborhood effects literature by suggesting that the level of interaction within a neighborhood has dissimilar effects on residents’ impressions.
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Please direct all correspondence to the address listed above. Email correspondence can be sent to
shafer.## email not listed ##
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The Impact of Neighbor Interaction: Examining the Role of Social Trust, Pro-Social Behavior and
Neighborhood Networks on Perceived Disorder
Kevin M. Shafer
1
Laura McCloud
Robert L. Feldmann III
James Moody
The Ohio State University
Department of Sociology
300 Bricker Hall
190 N. Oval Mall
Columbus, Ohio 43210
ABSTRACT
Our paper evaluates the effects of different types of neighborhood-level inter-personal relationships on perceived neighborhood disorder through use of collective efficacy, social networks and pro-social behavior measures. Social organization and neighborhood research argues that frequent social interaction and trust significantly decrease disorder. To test potential differences from the type of neighborhood interaction we use the Columbus (Ohio) Neighborhood Survey, which includes network nomination, collective efficacy and organizational participation data. We use OLS regression techniques to find that collective efficacy significantly increases positive neighborhood impressions among residents. Additionally, we find that frequent contact through social networks insignificantly influences neighborhood impressions and mixed results regarding pro-social behavior. Our results add to the growing neighborhood effects literature by suggesting that the level of interaction within a neighborhood has dissimilar effects on residents’ impressions.
1
Please direct all correspondence to the address listed above. Email correspondence can be sent to
shafer.## email not listed ##
.
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