A Multilevel Simultaneous Equations Model for Within-Cluster Dynamic Effects, with an Application to Reciprocal Parent-Child and Sibling Effects

Autor/inn/en	Steele, Fiona; Rasbash, Jon; Jenkins, Jennifer
Titel	A Multilevel Simultaneous Equations Model for Within-Cluster Dynamic Effects, with an Application to Reciprocal Parent-Child and Sibling Effects
Quelle	In: Psychological Methods, 18 (2013) 1, S.87-100 (14 Seiten) PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	1082-989X
DOI	10.1037/a0029316
Schlagwörter	Item Response Theory; Family Characteristics; Health Sciences; Family Relationship; Parent Child Relationship; Sibling Relationship; Models; Interpersonal Relationship; Children; Parents; Genetics; Environmental Influences; Siblings; Depression (Psychology); Mothers; Delinquency; Foreign Countries; Equations (Mathematics); Correlation; United Kingdom (England); Child Behavior Checklist + Suchen Sie Ihr Suchwort? Item-Response-Theorie; Parents-child relationship; Parent-child-relation; Parent-child relationship; Eltern-Kind-Beziehung; Sibling relations; Geschwisterbeziehung; Analogiemodell; Interpersonal relation; Interpersonal relations; Interpersonelle Beziehung; Zwischenmenschliche Beziehung; Child; Kind; Kinder; Eltern; Humangenetik; Environmental influence; Umwelteinfluss; Sibling; Geschwister; Mother; Mutter; Kriminalität; Ausland; Equations; Mathematics; Gleichungslehre; Korrelation
Abstract	There has been substantial interest in the social and health sciences in the reciprocal causal influences that people in close relationships have on one another. Most research has considered reciprocal processes involving only 2 units, although many social relationships of interest occur within a larger group (e.g., families, work groups, peer groups, classrooms). This article presents a general longitudinal multilevel modeling framework for the simultaneous estimation of reciprocal relationships among individuals with unique roles operating in a social group. We use family data for illustrative purposes, but the model is generalizable to any social group in which measurements of individuals in the social group occur over time, individuals have unique roles, and clustering of the data is evident. We allow for the possibility that the outcomes of family members are influenced by a common set of unmeasured family characteristics. The multilevel model we propose allows for residual variation in the outcomes of parents and children at the occasion, individual, and family levels and residual correlation between parents and children due to the unmeasured shared environment, genetic factors, and shared measurement. Another advantage of this method over approaches used in previous family research is it can handle mixed family sizes. The method is illustrated in an analysis of maternal depression and child delinquency using data from the Avon Brothers and Sisters Study. (Contains 3 tables, 1 figure, and 2 footnotes.) (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2017/4/10