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Sampling adequacy is acutely important.
It shows that the sampling adequacy is adequate.
Kaiser Meyer Olkin measure of sampling adequacy: 0.76.
Sampling adequacy was measured using both the Kaiser-Meyer-Olkin (KMO) measure of sampling adequacy and Bartlett's test of sphericity.
As shown in Table 3, Kaiser-Meyer-Olkin (KMO) measurement showed the sampling adequacy as 0.89.
The CN results proved the sampling adequacy of the present model.
The value of Kaiser-Meyer-Olkin statistic was 0.917, verifying the sampling adequacy.
The average Kaiser-Meyer-Olkin criterion is 0.91 and indicates a "marvelous" sampling adequacy.
The test statistic for the Kaiser Meyer Olkin measure of sampling adequacy is 0.89.
All the measures of sampling adequacy (MSA) values were over.78.
The latter value is more than 0.5, which shows a high level of sampling adequacy.
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CEO of Professional Science Editing for Scientists @ prosciediting.com