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Kok Rianne Luijk Maartje P. C. M. Lucassen Nicole Prinzie Peter Jongerling Joran van IJzendoorn Marinus H. Tiemeier Henning Bakermans-Kranenburg Marian J. 《Journal of child and family studies》2022,31(9):2424-2435
Journal of Child and Family Studies - Maternal sensitivity and supportive discipline are important determinants of child self-regulation. Some evidence suggests that specific genetic or... 相似文献
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Joran Jongerling Jean-Philippe Laurenceau Ellen L. Hamaker 《Multivariate behavioral research》2013,48(3):334-349
In this article we consider a multilevel first-order autoregressive [AR(1)] model with random intercepts, random autoregression, and random innovation variance (i.e., the level 1 residual variance). Including random innovation variance is an important extension of the multilevel AR(1) model for two reasons. First, between-person differences in innovation variance are important from a substantive point of view, in that they capture differences in sensitivity and/or exposure to unmeasured internal and external factors that influence the process. Second, using simulation methods we show that modeling the innovation variance as fixed across individuals, when it should be modeled as a random effect, leads to biased parameter estimates. Additionally, we use simulation methods to compare maximum likelihood estimation to Bayesian estimation of the multilevel AR(1) model and investigate the trade-off between the number of individuals and the number of time points. We provide an empirical illustration by applying the extended multilevel AR(1) model to daily positive affect ratings from 89 married women over the course of 42 consecutive days. 相似文献
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