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• Dispersion / variance: The greater the dispersion or variance within the population, the larger the sample must be to provide estimation precision.
• Precision of the estimate: the greater the desired precision of the estimate, the larger the sample must be.
• Interval range: The narrower the interval range, the larger the sample must be.
• Confidence level: The higher the confidence level in the estimate, the larger the sample must be.
• Number of subgroups: The greater the number of subgroups of interest within a sample, the greater the sample size must be, as each subgroup must meet minimum sample size requirements.
• If the calculated sample size exceeds 5% of the population, sample size may be reduced without sacrificing precision.
Titany answered the question on October 21, 2021 at 12:41
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