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The quality of data for PCA analysis was confirmed with Kaiser Meyer Olkin (KMO) measure of sampling adequacy test.
The KMO measure of sampling adequacy obtained was 0.445 and 0.760 for water samples in 2010 and 2011, respectively.
It provided a KMO measure of sampling adequacy of 0.87 and explained 45.3% of the variance (Tables 2 and 3).
This is underlined by a Kaiser-Meyer-Olkin measure of sampling adequacy of 0.957 and a highly significant Bartlett test of sphericity (p < 0.001).
Factor analysis and (Kaiser-Meyer-Olkin Measure of Sampling) KMO were used to analyze the data.
Kaiser Meyer Olkin measure of sampling adequacy: 0.76.
The test statistic for the Kaiser Meyer Olkin measure of sampling adequacy is 0.89.
KMO is a measure of sampling adequacy for the proportion of common variance caused by underlying factors.
Kaiser-Meyer-Olkin (KMO) measure of sampling adequacy was used to access the suitability of respondent data for factor analysis.
Kaiser-Meyer-Olkin (KMO) measure of sampling adequacy was found 0.78, which is well above the recommended value of 0.50.
Sampling adequacy was measured using both the Kaiser-Meyer-Olkin (KMO) measure of sampling adequacy and Bartlett's test of sphericity.
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