Sentence examples for amount of variance and from inspiring English sources

The experimental reaction rates, the R2 value (reflects the amount of variance), and the root mean square deviation (RMSD) were used for the evaluation of the fitting.

An additional test of structural invariance concerns the degree to which the underlying factors have the same amount of variance and covary to the same extent across groups.

The Goodness-of-Fit Index (GFI) measures the relative amount of variance and covariance predicted by the model, with a value greater than 0.95 indicating good fit [ 71].

This separation of effects among the strains could mean a relatively small number of variants explaining a relatively large amount of variance and motivates future mapping studies.

Descriptive statistics (variance, mean, histograms) were generated for each item and examined for amount of variance and middle range mean scores as well as sufficient endorsement frequency.

Factors that appeared before the break were assumed to be meaningful, and factors that appeared on the approximately horizontal line after the break were considered to account for only a trivial amount of variance and were therefore not considered meaningful.

Because the involved constructs are known to share substantial amounts of variance and may display complex interdependencies, we set up latent variable structural equation models to avoid the typical fallacies of correlational research (cf. Silvia, 2008).

Three-step hierarchical binary logistic regression analyses showed that at Step 1, being an 'accurate estimator' was significantly associated with exceeding guidelines in typical and maximum independent ED drinking sessions, accounting for a small amount of variance (2 and 4 %, respectively; Table  4).

A scores plot is used to visually represent the relationship or amount of variance (similarities and differences) between samples.

We chose a modeling approach based on a GLM comprising two nested models, allowing the identification of regions for which one model (e.g. Fourier in this instance) explains a significant amount of variance above and beyond the other (e.g., HRF+TD).

In all but one analysis the prediction of PTSD symptom severities could significantly be improved by either concreteness scores or the interaction between concreteness scores and self-reported rumination entered as additional predictor variables, although the additional amount of variance was small and ranged between 3 and 4% (see Table  4).