Sentences with phrase «multilevel modeling approach»

Given the nested nature of our data, we used a multilevel modeling approach.

Data from 216 students, nested in 48 groups were analyzed using a multilevel modeling approach.

The study uses a multilevel modeling approach to test the effects of such variables as supervisor leadership style, emotional intelligence, empathy, implicit person theory, trust, and feedback environment on employees» perceptions of the coaching relationships they share with their supervisors.

Not exact matches

Individual growth curve models were developed for multilevel analysis and specifically designed for exploring longitudinal data on individual changes over time.23 Using this approach, we applied the MIXED procedure in SAS (SAS Institute) to account for the random effects of repeated measurements.24 To specify the correct model for our individual growth curves, we compared a series of MIXED models by evaluating the difference in deviance between nested models.23 Both fixed quadratic and cubic MIXED models fit our data well, but we selected the fixed quadratic MIXED model because the addition of a cubic time term was not statistically significant based on a log - likelihood ratio test.

Examples of his contributions include improved effect size estimates, multilevel mediation models, and Bayesian approaches to mediation analysis.

Teacher - child relationships and academic achievement: a multilevel propensity score model approach.

Multilevel modeling (MLM) of complex survey data is an approach increasingly being used in public health research.

We will use two - level multilevel linear and logistic regression models (mothers and babies nested within areas) to compare outcomes between individuals living in an AMIHS area compared with individuals who live in a propensity - matched comparison area, using an intention - to - treat approach.

Bayesian estimation is used here because classical approaches are problematic for the multilevel TAR model.

Van den Noortgate and Onghena (2003) compared multilevel meta - analysis with traditional meta - analytic methods and concluded that maximum likelihood multilevel approach is in general superior to the fixed - effects approaches and that the results of the multilevel approach are not substantially different from the results of the traditional random - effects approaches for intercept only models.

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).

This general approach — to first quantify the intradyad relationships and then examine interdyad differences in the intradyad relationships — is the basis for most contemporary dyadic data analysis techniques, including sequential and state space grid analyses, coupled dynamic systems, and multilevel modeling (Bakeman & Gottman, 1997; Bakeman & Quera, 2011; Boker & Laurenceau, 2007; Gonzalez & Griffin, 2012; Gottman, Murray, Swanson, Tyson, & Swanson, 2002; Hollenstein, 2013; Laurenceau & Bolger, 2005; Ram & Pedersen, 2008).