between-group variation

(redirected from between-group variance)

between-group variation

The variation due to interaction between the samples, which is the sum of squares between groups. If the sample means are close to each other, and therefore the grand mean, this will be small; there are k samples involved with one data value for each sample (the sample mean), so there are k-1 degrees of freedom.
References in periodicals archive ?
First, we conducted null model analyses with no predictors to identify any significant between-group variance in the variables.
As shown in Model 1, for PEG-AA, the ICC (ratio of the between-group variance to total variance) was .
Instead, we performed a series of one-way ANOVA tests to estimate ICC and calculate within- and between-group variance in cultural values for countries and other clustering dimensions to see what percentage of differences between subjects reside within and between groups, or how similar subjects in groups are to one another, and how distinct groups are from one another.
The first predictor variable selected for inclusion by DISCRIM is that variable that explains most of the total between-group variance (i.
Between-group variance in the number of teacher-reported hours of English language development instruction with ELL students was not statistically significant.
Accurate specification of boundaries in research is necessary to meet the basic statistical and measurement principal of maximizing between-group variance and minimizing within-group variance.
3 per cent of the between-group variance across the Voting Groups.
They find that the significant decrease in wage inequality is largely attributable to a decrease in between-group variance.
It seeks to minimize within-group variance and maximize between-group variance (ref.
Therefore, HLM overcomes the weaknesses of the two data analysis methods in that people can model explicitly both within- and between-group variance, as well as examine the impact of higher-level units on lower-level outcomes while maintaining the appropriate level of analysis.
ANOVA seeks to compare the degree of within-category variance to between-group variance to assess the possible significance of difference by the independent variable category set.
Specifically, the dominant eigenvalue will reflect the between-group variance and the associated eigenvector will approximately equal the vector of differences in means of the groups.