Sentence examples for variance between clusters from inspiring English sources
The test allowed us to identify the differences in variance between clusters in terms of PC scores (Field [2005]).
A method named as Ward, a very efficient method for analysis of variance between clusters, was selected as measurement.
Ward's method, a very efficient method for the analysis of variance between clusters was applied, and Euclidean Distance was selected as measurement.
We use Ward's method to generate a hierarchical clustering of stories, which proceeds by minimizing variance between clusters of books [26].
MDA and multivariate analysis of variance showed that all latent variables contribute to significantly differentiate clusters (p < 0.0001), and this is confirmed by the fact that the two discriminant functions arising from the MDA exert, respectively, 53.2% and 46.8% of the total variance between clusters.
The variance between clusters was then taken to be 0.01.
Similar to the random-effects models used for analyzing binary outcomes, this model takes two levels of variance, between-cluster variance and within-cluster variance, into account for clustered or longitudinal nominal responses [ 41, 42].
A linear mixed effects model with centre as the random effect has been used to account for a possible centre effect.The ICC (intraclass correlation coefficient) is the measure of the ratio of the between cluster variance to the total variance (between-cluster + within-cluster).
However, when the intra-class correlation presents, the analysis needs to account for both the within-cluster variance and between-cluster variance [ 48].
However, although most of the variables had unequal variances between clusters, conducting non-parametric tests produced the same results and subsequently only the parametric results are reported.
Compared to the standard logistic regression, the random-effects logistic regression includes a cluster-level random effect in the model which is assumed to follow a normal distribution with a zero mean and an unknown variance τ2 (the between-cluster variance); τ2 is estimated in the regression.
