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.
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.
authors.affiliation: School of Education, Boston University, Two Silber Way, Boston, MA, 02215, USA, jggreen@bu.edu.
authors.forename: Jennifer Greif
authors.initials: JG
authors.lastname: Green
authors.forename: Margarita
authors.initials: M
authors.lastname: Alegría
authors.forename: Ronald C
authors.initials: RC
authors.lastname: Kessler
authors.forename: Katie A
authors.initials: KA
authors.lastname: McLaughlin
authors.forename: Michael J
authors.initials: MJ
authors.lastname: Gruber
authors.forename: Nancy A
authors.initials: NA
authors.lastname: Sampson
authors.forename: Alan M
authors.initials: AM
authors.lastname: Zaslavsky
mesh_terms: D000293:Adolescent; D000342:Affective Symptoms / Q000453:epidemiology*; D015897:Comorbidity; D005260:Female; D006801:Humans; D008297:Male; D015995:Prevalence; D012111:Residence Characteristics / Q000706:statistics & numerical data*; D012574:Schools / Q000706:statistics & numerical data*; D017062:Small-Area Analysis; D012959:Socioeconomic Factors
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