Sentences with phrase «which multilevel models»

Abstract: The goal of the present study is to demonstrate the ways in which multilevel models can be applied to family research.

The goal of the present study is to demonstrate the ways in which multilevel models can be applied to family research.

Not exact matches

We use probit models in these regressions because we can run these as multilevel models, which we describe briefly below.

Finally, we describe the results of our multilevel probit models, which considered each brief's raw readability score without regard to the opposing brief's readability.

Multilevel models are ideal because families with missing data are not removed from the analyses, and the models are not affected by unbalanced data (i.e., in which some families include more member reports than others).

In contrast, the Triple P multilevel system of parenting support is based on a population - based public health model which seeks to shift prevalence rates across the community.

Longitudinal data from 315 older couples in which one partner had end - stage renal disease were analyzed using multilevel modeling.

Multilevel modeling was used to examine which actor — partner effects of these factors were predictive of individuals and their partners having had UAI within and outside the relationship.

The data was analyzed using generalized linear models and generalized estimating equations, which are specifically used to address the multilevel design of data in which schools with participating schoolchildren were randomized (rather than individual participants).

Because the children are nested within families, we have used multilevel modeling, which takes into account the absence of independence between siblings within families and allows for one than one positive case at the family level.

One of these models is the multilevel autoregressive model, which psychologists have applied successfully to study affect regulation as well as alcohol use.

Such data may be analyzed using the hierarchical Ornstein — Uhlenbeck (OU) model proposed by Oravecz, Tuerlinckx, and Vandekerckhove (2009), which is the continuous time extension of the multilevel AR model.

This multilevel AR model enables researchers to estimate the average inertia in the population and to use observed person - level variables as predictors for the inertias, to see which person characteristics are related to regulatory weakness.

A multilevel random effects model accounts for the hierarchical structure of the data, in which the effect sizes or study results (the lowest level) are nested within studies (the highest level).

All analyses were performed with SPSS version 17.0, except multilevel analyses of effects on binary outcome measures, which were analyzed with MLwiN (Multilevel Models Projemultilevel analyses of effects on binary outcome measures, which were analyzed with MLwiN (Multilevel Models ProjeMultilevel Models Project, 1998).

Second, multilevel modeling can be used when one expects variables to be correlated across time, a substantial improvement over OLS, which assumes that this autocorrelation is zero.

A multilevel network approach was used in which peer groups were identified via social network analysis, and peer group influence was evaluated with hierarchical linear modeling (HLM).

The most appropriate statistical technique for nested data is multilevel modeling, which is useful in analyzing longitudinal data, as it effectively handles missing data, serial dependence among observations, and varying time periods between observations (Raudenbush & Bryk, 2002; Singer & Willett, 2003).