Confirmatory and Competitive Evaluation of Alternative Gene-Environment Interaction Hypotheses

Autor/inn/en	Belsky, Jay; Pluess, Michael; Widaman, Keith F.
Titel	Confirmatory and Competitive Evaluation of Alternative Gene-Environment Interaction Hypotheses
Quelle	In: Journal of Child Psychology and Psychiatry, 54 (2013) 10, S.1135-1143 (9 Seiten) PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	0021-9630
DOI	10.1111/jcpp.12075
Schlagwörter	Genetics; Environmental Influences; Interaction; Statistical Analysis; Regression (Statistics); Evaluation Methods; Prediction; Social Development; Social Behavior; Child Care; Theories; Child Rearing; Child Development + Suchen Sie Ihr Suchwort? Humangenetik; Environmental influence; Umwelteinfluss; Interaktion; Statistische Analyse; Regression; Regressionsanalyse; Vorhersage; Soziale Entwicklung; Social behaviour; Soziales Verhalten; Kinderfürsorge; Kinderbetreuung; Theory; Theorie; Kindererziehung; Kindesentwicklung
Abstract	Background: Most gene-environment interaction (GXE) research, though based on clear, vulnerability-oriented hypotheses, is carried out using exploratory rather than hypothesis-informed statistical tests, limiting power and making formal evaluation of competing GXE propositions difficult. Method: We present and illustrate a new regression technique which affords direct testing of theory-derived predictions, as well as competitive evaluation of alternative diathesis-stress and differential-susceptibility propositions, using data on the moderating effect of DRD4 with regard to the effect of childcare quality on children's social functioning. Results: Results show that (a) the new approach detects interactions that the traditional one does not; (b) the discerned GXE fit the differential-susceptibility model better than the diathesis-stress one; and (c) a strong rather than weak version of differential susceptibility is empirically supported. Conclusion: The new method better fits the theoretical "glove" to the empirical "hand," raising the prospect that some failures to replicate GXE results may derive from standard statistical approaches being less than ideal. (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2017/4/10