It
is a fundamental question of any data based research. A big sample ensures accuracy and wider predictability of the results. But more time and money get involved in this process making it expensive and time consuming. This might not be realistic for countries like Nepal.In comparison to a developed country, research
is conducted here with much less financial support from governmental
funding agencies. So if inherent variability of the population with
respect to the objective of study can be known in advance from some
previous studies, a small sample that is big enough to reflect this
variability can be equally efficient. So while deciding about the sample
size a compromise has to be made. Here time/money is on one side and
accuracy is on the other side. So if inherent variability is less, the
population is homogeneous and a small sample will be enough to reflect
this variability. But for heterogeneous population, the sample size
should be big enough to reveal this variability.
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