My current research is a three-fold study of residential segregation, housing turnover, and neighborhood connection (conceptualized as neighborhood collective efficacy) by race/ethnicity and family structure. Previous studies examining these residential outcomes have focused on race/ethnicity and have largely ignored family structure.

• Residential segregation: Use 1990-2010 Decennial Census data from the Neighborhood Change Database to calculate Theil’s H and isolation indices to measure segregation. I run pooled regression models as well as race/specific models for these segregation scores.

• Housing Turnover: Use the 2007, 2009, and 2011 panels of the American Housing Survey (AHS) to analyze housing turnover by race/ethnicity and family structure and perform a series of multinomial logistic regression analyses.

• Neighborhood connection: Use the 2013 panel of the AHS to explore neighborhood connection (conceptualized as neighborhood collective efficacy), and run linear regression analyses for social cohesion and social control.

• My results suggest that residential segregation, housing turnover, and neighborhood connection vary by both race/ethnicity and family structure. The consideration and inclusion of family structure in the analysis of residential outcomes is essential for a more complete understanding.

Other current research projects include (1) a cross-sectional analysis of residential segregation for families by the presence of children; (2) a project examining the relationship between family instability, neighborhood disorder, and cognitive and behavioral outcomes for children; (3) the relationship between housing tenure and nonresident father involvement; and (4) a paper currently under review examining Muslim/non-Muslim disparities in residential attainment in Philadelphia among blacks and nonblacks.