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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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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.
Most Common Document Word Stems: social (139), neighborhood (136), disord (95), network (84), collect (82), efficaci (69), communiti (67), 1 (53), measur (52), 581 (44), behavior (42), perceiv (41), within (40), pro (37), resid (36), 2 (36), control (35), model (35), pro-soci (35), effect (32), level (30),

Author's Keywords: Collective Efficacy, Social Networks, Voluntary Organizations, Neighborhoods, Communities	Convention All Academic Convention is the premier solution for your association's abstract management solutions needs. Submission - Custom fields, multiple submission types, tracks, audio visual, multiple upload formats, automatic conversion to pdf. Review - Peer Review, Bulk reviewer assignment, bulk emails, ranking, z-score statistics, and multiple worksheets! Reports - Many standard and custom reports generated while you wait. Print programs with participant indexes, event grids, and more! Scheduling - Flexible and convenient grid scheduling within rooms and buildings. Conflict checking and advanced filtering. Communication - Bulk email tools to help your administrators send reminders and responses. Use form letters, a message center, and much more! Management - Search tools, duplicate people management, editing tools, submission transfers, many tools to manage a variety of conference management headaches! Click here for more information.
Association: Name: American Sociological Association URL: http://www.asanet.org
Citation: URL: http://www.allacademic.com/meta/p104365_index.html Direct Link: HTML Code:

Shafer, Kevin., McCloud, Laura., Feldmann, Robert. and Moody, James. "The Impact of Neighbor Interaction: Examining the Role of Social Trust, Pro-Social Behavior and Networks on Perceived Disorder" Paper presented at the annual meeting of the American Sociological Association, Montreal Convention Center, Montreal, Quebec, Canada, Aug 11, 2006 Online <APPLICATION/PDF>. 2008-07-18 <http://www.allacademic.com/meta/p104365_index.html>

Shafer, K. M., McCloud, L. S., Feldmann, R. L. and Moody, J. (2006, Aug) "The Impact of Neighbor Interaction: Examining the Role of Social Trust, Pro-Social Behavior and Networks on Perceived Disorder" Paper presented at the annual meeting of the American Sociological Association, Montreal Convention Center, Montreal, Quebec, Canada Online <APPLICATION/PDF> Retrieved 2008-07-18 from http://www.allacademic.com/meta/p104365_index.html

Publication Type: Conference Paper/Unpublished Manuscript 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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