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Exact(23)
Kaiser-Meyer-Olkin test was used for checking the sampling adequacy and found that the sample size is adequate for factor analysis with a KMO score of 0.803.
The PAS 2050 method is valid if the assumptions are < 5% of the total footprint and the sample size is adequate (PAS 2050 [34]).
Care needs to be taken to ensure that the sample size is adequate.
Confounding is addressed through the use of multivariate analysis, where the sample size is adequate.
A KMO value > 0.5 indicates that the sample size is adequate for factor analysis.
The sample size is adequate to measure the change and the effect size.
Similar(37)
Sample size was adequate for the objectives of the study.
Sample size was adequate to detect a moderate effect size (d = 0.50).
However, data saturation had been achieved which suggests that the sample size was adequate.
The Kaiser-Meyer-Olkin measure (=0.65) verified that the sample size was adequate for factor analysis.
Therefore, the sample size was adequate to ensure the stability of the model.
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