Neighborhood Conditions in Relation to Academic Achievement of Elementary School Students (Poster 27)

• In Event: AERA Poster Session Six
  In Poster Session: Division H Poster Session on Applied Research in Schools

Abstract

The present study investigated relationships between neighborhood conditions and academic achievement of elementary school students with modeling spatial dependencies of neighborhood attributes through Exploratory Factor Analysis, Confirmatory Factor Analysis, Exploratory Spatial Data Analysis, and a two-level Hierarchical Linear Modeling (HLM) with adding a spatial error term for modeling spatial autocorrelation between neighborhoods. One of the major findings from the current study is that school environments have a close association with the mathematics achievement especially for students living in disadvantaged neighborhoods with more risk factors. School administrators and educational policy makers may consider these findings to provide additional support from neighborhood to students at rick for academic failure.
 

Authors

• Huifang Zuo, University of Chicago
  Presenting Author

• Chuang Wang, University of North Carolina - Charlotte
  Presenting Author

• Joseph Warren Allen, Salesforce
  Non-Presenting Author

• Audrey Rorrer, University of North Carolina - Charlotte
  Non-Presenting Author

• Xuemei Sun
  Non-Presenting Author