@article {green_neighborhood_2015,
	title = {Neighborhood sociodemographic predictors of Serious Emotional Disturbance (SED) in schools: demonstrating a small area estimation method in the National Comorbidity Survey (NCS-A) Adolescent Supplement},
	journal = {Administration and Policy in Mental Health},
	volume = {42},
	number = {1},
	year = {2015},
	month = {jan},
	pages = {111{\textendash}120},
	abstract = {We evaluate the precision of a model estimating school prevalence of SED using a small area estimation method based on readily-available predictors from area-level census block data and school principal questionnaires. Adolescents at 314 schools participated in the National Comorbidity Supplement, a national survey of DSM-IV disorders among adolescents. A multilevel model indicated that predictors accounted for under half of the variance in school-level SED and even less when considering block-group predictors or principal report alone. While Census measures and principal questionnaires are significant predictors of individual-level SED, associations are too weak to generate precise school-level predictions of SED prevalence.},
	keywords = {Adolescent, Affective Symptoms, Comorbidity, Female, Humans, Male, Prevalence, Residence Characteristics, Schools, Small-Area Analysis, Socioeconomic Factors},
	issn = {1573-3289},
	doi = {10.1007/s10488-014-0550-8},
	author = {Green, Jennifer Greif and Alegr{\'\i}a, Margarita and Ronald C. Kessler and McLaughlin, Katie A. and Gruber, Michael J. and Sampson, Nancy A. and Zaslavsky, Alan M.}
}
