Van Horn, M. Lee and Jaki, Thomas and Maysn, Katherine and Ramey, Sharon Landesman and Smith, Jessalyn A. and Antaramian, Susan (2009) Assessing differential effects: Applying regression mixture models to identify variations in the influence of family resources on academic achievement. Developmental Psychology, 45 (5). pp. 1298-1313. ISSN 0012-1649
This is the latest version of this item.
Developmental scientists frequently seek to understand effects of environmental contexts on development. Traditional analytic strategies assume similar environmental effects for all children, sometimes exploring possible moderating influences or exceptions (e.g., outliers) as a secondary step. These strategies are poorly matched to ecological models of human development that posit complex individual by environment interactions. An alternative conceptual framework is proposed that tests the hypothesis that the environment has differential (nonuniform) effects on children. A demonstration of the utility of this framework is provided by examining the effects of family resources on children’s academic outcomes in a multisite study (N = 6,305). Three distinctive groups of children were identified, including 1 group particularly resilient to influence of low levels of family resources. Predictors of group differences including parenting and child demographics are tested, the replicability of the results are examined, and findings are contrasted with those obtained with traditional regression interaction effects. This approach is proposed as a partial solution to advance theories of the environment, social ecological systems research, and behavioral genetics to create well-tailored environments for children.
|Journal or Publication Title:||Developmental Psychology|
|Subjects:||Q Science > QA Mathematics|
|Departments:||Faculty of Science and Technology > Mathematics and Statistics|
|Deposited By:||Dr Thomas Jaki|
|Deposited On:||06 May 2009 11:31|
|Last Modified:||25 Oct 2016 01:30|
Available Versions of this Item
- Assessing differential effects: Applying regression mixture models to identify variations in the influence of family resources on academic achievement. (deposited 06 May 2009 11:31)[Currently Displayed]
Actions (login required)