LSE has developed LSE Research Online so that users may access research output of the School. Copyright © and Moral Rights for the papers on this site are retained by the individual authors and/or other copyright owners. Users may download and/or print one copy of any article(s) in LSE Research Online to facilitate their private study or for non-commercial research. You may not engage in further distribution of the material or use it for any profit-making activities or any commercial gain. You may freely distribute the URL (http://eprints.lse.ac.uk) of the LSE Research Online website.This document is the author's final accepted version of the journal article. There may be differences between this version and the published version. You are advised to consult the publisher's version if you wish to cite from it. given the phenomena under study, reciprocal influences are also investigated. Thus we can examine the extent to which a mother influences her child, as well as the way the child influences the mother's behavior over time.
WITHIN-CLUSTER DYNAMIC EFFECTSOne of the challenges in the interpretation of correlational data is the isolation of influences that help us draw conclusions about causal mechanisms. For instance, the correlation in behavior between parents and children may be due to genes, environmental experiences, or a mixture of the two (Kaffman & Meaney, 2007;Plomin & Davis, 2009 There are several goals to this article. First, we briefly outline the methods that have been used previously for examining reciprocal processes. Such methods are based on growth curve and autoregressive cross-lagged models. We discuss the limitations of these methods for conclusions about causal mechanisms. Second, we introduce an analytic framework that allows for a more comprehensive and flexible examination of reciprocal influences than has been presented to date. The model allows for the inclusion of social groups of different sizes (including groups with only one dyad). We differentiate between reciprocal influences between individuals in a power hierarchy (parents and their multiple children), as well as individuals at the same level of power (e.g. siblings). We allow effects to depend on characteristics of individuals with different roles (e.g. parent and child). Effects of unmeasured factors at the occasion, individual and group levels are included. Third, we illustrate our approach with an analysis of the reciprocal effects of maternal depression and children's behavioral problems, using a dataset that includes up to three children per family.Our approach can be implemented in existing multilevel modelling software.
WITHIN-CLUSTER DYNAMIC EFFECTS 5
A Review of Methods for Estimation of Reciprocal Parent-Child and Sibling EffectsPrevious studies into how the behavior of one family member affects another have been restricted to dyadic (or pairwise) relationships involving a parent-child (e.g. Elgar, Curtis, ). These studies have involved separate analyses for parent-child and sibling relationships using growth curve m...