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Stafford says exiting down stock market worsened position of low-income households

Bailey's work cited on growing income disparities in college enrollment and graduation

Murphy says mobile sensor data will allow adaptive interventions for maximizing healthy outcomes

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PSC Fall 2014 Newsletter now available

Martha Bailey and Nicolas Duquette win Cole Prize for article on War on Poverty

Michigan's graduate sociology program tied for 4th with Stanford in USN&WR rankings

Jeff Morenoff makes Reuters' Highly Cited Researchers list for 2014

Next Brown Bag

Monday, Nov 3
Melvin Stephens, Estimating Program Benefits

Measurement and Structural Models for Children's Problem Behaviors.

Archived Abstract of Former PSC Researcher

Cheong, Y.F., and Stephen W. Raudenbush. 2000. "Measurement and Structural Models for Children's Problem Behaviors." Psychological Methods, 5(4): 477-495.

This article considers an analytic strategy for measuring and modeling child and adolescent problem behaviors. The strategy embeds an item response model within a hierarchical model to define an interval scale for the outcomes, to assess dimensionality, and to study how individual and contextual factors relate to multiple dimensions of problem behaviors. To illustrate, the authors analyze data from the primary caregiver ratings of 2,177 children aged 9-15 in 79 urban neighborhoods on externalizing behavior problems using the Child Behavior Checklist 4-18 (T. M. Achenbach, 1991a). Two subscales, Aggression and Delinquency, are highly correlated, and yet unidimensionality must be rejected because these subscales have different associations with key theoretically related covariates.

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