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Employing community data to investigate social and structural dimensions of urban neighborhoods: An early childhood education example
Author(s) -
McWayne Christine M.,
McDermott Paul A.,
Fantuzzo John W.,
Culhane Dennis P.
Publication year - 2007
Publication title -
american journal of community psychology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.113
H-Index - 112
eISSN - 1573-2770
pISSN - 0091-0562
DOI - 10.1007/s10464-007-9098-z
Subject(s) - health psychology , multilevel model , metropolitan area , context (archaeology) , census , public health , social environment , geography , psychology , demography , social psychology , environmental health , sociology , medicine , statistics , mathematics , social science , population , nursing , archaeology
Abstract The present study sought to define neighborhood context by examining relationships among data from city‐level administrative databases at the level of the census block group. The present neighborhood investigation included 1,801 block groups comprising a large, northeastern metropolitan area. Common factor analyses and multistage, hierarchical cluster analyses yielded two dimensions (i.e., Social Stress, Structural Danger) and two typologies (i.e., Racial Composition, Property Structure Composition) of neighborhood context. Simultaneous multiple regression analyses revealed small but statistically significant associations between neighborhood variables and academic outcomes for public school kindergarten children.