Sentence examples for multilevel analysis that from inspiring English sources

The analysis will be extended using multilevel analysis that takes the nesting of measurements into account.

A high perceptual agreement provided a justification for the use of this group-level indicator in multilevel analysis that took into account the hierarchical structure of these data.

After consultation of a statistical expert, we decided to do a multilevel analysis, that controlled for the clustering in only in the first cohort.

The occurrence of major depression (yes/no) will be the dependent variable of multiple logistic regressions from a multilevel analysis that will discern three levels: patient, GP and health centre.

Multilevel analysis that accounts for the nested and cross-classified structure of the data was used to estimate the signal and noise components of the measurement of quality and the reliability of implicit review.

The framework allows the use of appropriate computer-aided methods and tools in a hierarchical manner according to a developed work flow for a multilevel criteria analysis that helps generate competing and more sustainable process design options.

The estimates of the variance components can be used to compare the relative importance of the random effects but not for the fixed effect of species richness – hence the motivation for the multilevel model analysis that estimates variance components for all explanatory variables.

The role of team-level factors might also be examined at the level of the team in addition to the individual level, by using multilevel analysis techniques that model variables that are conceptually relevant at the team level (e.g. Preacher et al. 2010; Truijen, 2012), such as team leadership, and team learning (Yammarino et al. 2008).

The use of cross-over designs where volunteers serve as their own control permits multilevel analysis schemes that increase power but requires a relevant number of volunteers to allow for statistically significant multivariate models [ 72].

Multilevel analysis showed that the rate of patients that visited a cancer genetics clinic did not vary significantly between hospitals (ICC = 0).

Because we tested across several locations, there is some variation due to location, but the multilevel analysis revealed that this did not reduce the effect of condition, suggesting that the effects are not likely to be underestimated due to type 1 error.