Sentence examples for multilevel model analysis from inspiring English sources

Finally, Figure 3 presents the results of multilevel model analysis.

We implemented the multilevel model analysis using the WinBUGS version of the BUGS family of statistical software based on similar earlier analyses [9], [53], [64].

It is also important to keep in mind that the variance components in the mixed-effects models are super-population estimates for the random effects only while the multilevel model analysis produces finite-population estimates for all explanatory variables.

In this paper we assess the relative importance of species richness and species composition in a multilevel model analysis of net aboveground biomass production in grassland biodiversity experiments by estimating variance components for all explanatory variables.

In this paper we present a new analysis of data on net aboveground biomass production in some of the major grassland biodiversity experiments that replicated both species richness and species composition, using a recently suggested application of multilevel model analysis to compare the explanatory variables in terms of their variance components.

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.

Centre and individual level effect were accounted for in the multilevel modelling analysis.

Descriptive and simple statistical analysis will be performed in SPSS and MLwiN [ 52] will be used for multilevel models analysis.

The intervention effects in the outcome measure differentiated by these group of students will be tested in the multilevel models analysis.

Mean reach values for streamwater nutrient concentrations, periphyton biomass, macroinvertebrate measures and stable isotope values were analysed using a multilevel model (mixed) analysis of variance (anova) to facilitate comparisons between treatment and reference streams (proc mixed; SAS Institute Inc.; 2003); (Table 2).

Because of the hierarchical structure (GPs nested within practices), we performed a linear multilevel (mixed model) analysis.