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Assessing differential effects: Applying regression mixture models to identify variations in the influence of family resources on academic achievement.

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Assessing differential effects: Applying regression mixture models to identify variations in the influence of family resources on academic achievement. / Van Horn, M. Lee; Jaki, Thomas; Maysn, Katherine et al.
In: Developmental Psychology, Vol. 45, No. 5, 09.2009, p. 1298-1313.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

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Van Horn ML, Jaki T, Maysn K, Ramey SL, Smith JA, Antaramian S. Assessing differential effects: Applying regression mixture models to identify variations in the influence of family resources on academic achievement. Developmental Psychology. 2009 Sept;45(5):1298-1313.

Author

Van Horn, M. Lee ; Jaki, Thomas ; Maysn, Katherine et al. / Assessing differential effects: Applying regression mixture models to identify variations in the influence of family resources on academic achievement. In: Developmental Psychology. 2009 ; Vol. 45, No. 5. pp. 1298-1313.

Bibtex

@article{bbb28303140c4b17ac3fb152cb531c48,
title = "Assessing differential effects: Applying regression mixture models to identify variations in the influence of family resources on academic achievement.",
abstract = "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{\textquoteright}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.",
author = "{Van Horn}, {M. Lee} and Thomas Jaki and Katherine Maysn and Ramey, {Sharon Landesman} and Smith, {Jessalyn A.} and Susan Antaramian",
year = "2009",
month = sep,
language = "English",
volume = "45",
pages = "1298--1313",
journal = "Developmental Psychology",
issn = "0012-1649",
publisher = "American Psychological Association Inc.",
number = "5",

}

RIS

TY - JOUR

T1 - Assessing differential effects: Applying regression mixture models to identify variations in the influence of family resources on academic achievement.

AU - Van Horn, M. Lee

AU - Jaki, Thomas

AU - Maysn, Katherine

AU - Ramey, Sharon Landesman

AU - Smith, Jessalyn A.

AU - Antaramian, Susan

PY - 2009/9

Y1 - 2009/9

N2 - 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.

AB - 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.

M3 - Journal article

VL - 45

SP - 1298

EP - 1313

JO - Developmental Psychology

JF - Developmental Psychology

SN - 0012-1649

IS - 5

ER -