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Exact(50)
Sample size was adequate for the objectives of the study.
Sample size was adequate to detect a moderate effect size (d = 0.50).
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.
Thus, the sample size was adequate to fulfill the objectives of the study.
However, data saturation had been achieved which suggests that the sample size was adequate.
Similar(10)
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]).
The sample size is adequate to measure the change and the effect size.
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.
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