Factors
Influencing Sample Size Include
1) Prevalence
of particular event or characteristics- If the prevalence is high, small sample
can be taken and vice versa. If prevalence is not known, then it can be
obtained by a pilot study.
2) Probability
level considered for accuracy of estimate- If we need more safeguard about
conclusions on data, we need a larger sample. Hence, the size of sample would
be larger when the safeguard is 99% than when it is only 95%. If only a small
difference is expected and if we need to detect even that small difference,
then we need a large sample.
3) Availability
of money, material, and manpower.
4) Time
bound study curtails the sample size as routinely observed with dissertation
work in post graduate courses.
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