Assessing School Communities Using Google Street View: A Virtual Systematic Social Observation Approach
Principal Investigator(s): View help for Principal Investigator(s) Dana McCoy, Harvard Graduate School of Education; Terri Sabol, Northwestern University
Version: View help for Version V2
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Read_me_first.docx | application/vnd.openxmlformats-officedocument.wordprocessingml.document | 42.5 KB | 02/15/2022 10:16:AM |
iSNAP_Analysis.do | text/plain | 23.1 KB | 02/15/2022 09:43:AM |
iSNAP_coder.dta | application/x-stata-dta | 78 KB | 02/15/2022 10:09:AM |
Project Citation:
McCoy, Dana , and Sabol, Terri. Assessing School Communities Using Google Street View: A Virtual Systematic Social Observation Approach. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2022-02-15. https://doi.org/10.3886/E162621V2
Project Description
Summary:
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Little research in
education has focused on school neighborhoods. We employ a novel systematic
social observation tool – the internet-based School Neighborhood Assessment
Protocol (iSNAP) – within Google Street View to quantify the physical
characteristics of 291 preschool communities in nine US cities. We find low to
moderate correlations (r = -.03 to -.57) between iSNAP subscales and Census
tract poverty, density, and crime, suggesting that the characteristics captured
by the iSNAP are related to yet ultimately distinct from existing neighborhood
structural measures. We find few positive associations between iSNAP community
characteristics and 1,230 low-income preschoolers’ end-of-year outcomes. Specifically,
resources for outdoor play (e.g., playgrounds, open fields) on school grounds predicted
stronger child self-regulation skills, whereas global ratings of safety and care
for both the school grounds and surrounding neighborhood predicted stronger
approaches to learning skills. Indicators of physical order were not associated
with child outcomes.
Funding Sources:
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United States Department of Education. Institute of Education Sciences (R305A160013)
Scope of Project
Subject Terms:
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school neighborhood;
school quality;
early childhood development;
Google Street View;
systematic social observation
Geographic Coverage:
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United States
Time Period(s):
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2007 – 2009
Collection Date(s):
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2016 – 2018
Universe:
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Low-income children in communities surrounding preschools in nine U.S. cities
Data Type(s):
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observational data
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