The phrase "approach sample size" is not correct in standard written English.
It seems to be a combination of terms that may not convey a clear meaning without additional context.
Example: "In our study, we need to determine the appropriate sample size to approach the target population effectively."
Alternatives: "target sample size" or "desired sample size".
Through such an approach, sample size could be greatly increased to yield a more complete characterization of the student community in a particular school system.
In this approach, sample size for clustered randomized trials was estimated taking into account the role of the planned trial on a future meta-analysis [ 48].
Based on previous investigation [ 7], a large effect size was anticipated, but to use a conservative approach, sample size was calculated using a medium effect size corresponding to a 25% relative increase in postexercise apoptosis.
In this approach sample size requirements are dependent on both the frequency of injury events and the correlation of psychological states over time (higher sample sizes if states are relatively stable because there is less information on the changing exposures).
From a statistical point of view, as reviewed by Simon [14], this type of prediction is a complicated problem and many factors, such as gene selection rules, sample resubstitution approaches, sample size concerns, and classification methods are involved.
It is clear that the calculated genetic diversity for a given genomic region will depend upon the sampling approach and sample size.
The drawbacks with this approach are twofold; I would not know whether results generalize to other clutch sizes, and this approach reduces sample size and thus the power to observe a real effect.
Another approach to sample size reduction involves a tabletop version of the coning and quartering operation (see Sampling), usually conducted on a large sheet of glazed paper.
We develop a Bayesian approach to sample size and power calculations for cross-sectional studies that are designed to evaluate and compare continuous medical tests.
In contrast to the conventional approach to sample size estimation, we explicitly incorporate into the formulas an assurance probability of achieving the pre-specified precision.
Since original data were often not normally distributed and the variances of the original samples were not homogeneous, a new approach for sample size determination based on a visual evolution of the jackknife was preferred to classical techniques.
