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Cohen's measure of sample effect size for comparing two sample means.
Zeta-potential can be used as a measure of sample stability.
As a second measure of sample diversity, we compared the average pair-wise protein distance within each group.
Traditional fuzzy clustering algorithms adopt distance as the measure of sample similarity criteria.
Within the pre-analyses, we calculated the Kaiser-Meyer-Olkin (KMO) and Measure of Sample Adequacy (MSA) coefficients.
An initial PCA produced a Kaiser-Meyer-Olkin's measure of sample adequacy (KMO) of 0.69, indicating that the use of a PCA was appropriate.
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Kaiser Meyer Olkin measure of sampling adequacy: 0.76.
Factor analysis and (Kaiser-Meyer-Olkin Measure of Sampling) KMO were used to analyze the data.
The test statistic for the Kaiser Meyer Olkin measure of sampling adequacy is 0.89.
An examination of the Kaiser-Meyer-Olkin measure of sampling adequacy suggested that the sample was factorable (Table 2).
The KMO measure of sampling adequacy obtained was 0.445 and 0.760 for water samples in 2010 and 2011, respectively.
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