Sentence examples for the share of variance from inspiring English sources

In a first step, an intercept-only model without covariates was estimated to disentangle the level-specific variance components (model 1).8 Based on these results we calculated the intraclass correlation (ICC) ρ, defined as the share of variance in the outcome variable at the context levels relative to the total variance.

Similarly, for 'local within-group PCA' we used same imputation / subsetting procedure, ran PCA on each set, and calculated the share of variance explained by first two components.

Measures of variance such as median odds ratios or variance partition coefficients (general contextual effects (7)) show the share of the variance attributable to the higher level.

Variance partition coefficients (VPCs) provide information on the share of the variance at each level.

The measures for R 2 revealed that, for the construct 'reasonableness', 56% of the share of the variance and, for the construct 'scientific rigour', 7% of the share of the variance was explained in the model.

Notice that year dummies are also included and that the estimated (rho ) in Table 6 is the share of the variance explained by unobserved heterogeneity.

The remaining indicators represent more than 50%% of the share of the variance of each indicator in respect to the corresponding latent variable and can be considered as the most reliable.

The context of family in childhood also had an important and lasting association with poor self-rated health and mental health, as shown by the share of the variance at the sibling level (VPC = 4.3%).

The total share of variance explained by the main PCA is cross-checked and numerically justified in several different ways, including aforementioned non-linear factorization techniques, Bayesian imputation (bootstrapping) of missing variables, and PCA on restricted sets of varialbles pre-sorted by their explanatory power.

In the IVs approach, (beta_{YX}) is estimated as the ratio of the shared part of variance bounded by the variation of the instrument ((sigma_{XY|Z})) to the variance of the predictor that is shared with an instrument ((sigma_{X|Z}^{2})).

Heritability, or the share of the genetic variance in the overall variance, is given by.