Definition of sampling technique
Sampling
techniques can be defined as the method or the technique consisting of
selection for the study of the so called part or the portion or the sample,
with a view to draw conclusions or the solutions about the universe or the
population.
techniques can be defined as the method or the technique consisting of
selection for the study of the so called part or the portion or the sample,
with a view to draw conclusions or the solutions about the universe or the
population.
Sampling
technique is the process or the method of drawing a definite number of the
individuals, cases or the observations from a particular universe, selecting
part of a total group for investigation.
technique is the process or the method of drawing a definite number of the
individuals, cases or the observations from a particular universe, selecting
part of a total group for investigation.
Examples
of some common sampling techniques are:
of some common sampling techniques are:
- Simple
Random Sampling (SRS) - Stratified Sampling.
- Cluster Sampling.
- Systematic Sampling.
- Multistage Sampling (in which some of the
methods above are combined in stages)
Definition of research
Research
can be defined as a diligent and systematic inquiry or
investigation into a subject in order to discover or revise facts, theories,
applications, etc.
can be defined as a diligent and systematic inquiry or
investigation into a subject in order to discover or revise facts, theories,
applications, etc.
The role of sampling techniques in research
In any study involving a large population, it is not possible for the
researcher to evaluate the whole population by checking/inspecting each and
every member of it hence he starts by taking a sample large enough to represent
all the characteristics of the whole population under study. He applies the
tests to the sample and based on the results of the tests, gives his
recommendation about the whole population.
researcher to evaluate the whole population by checking/inspecting each and
every member of it hence he starts by taking a sample large enough to represent
all the characteristics of the whole population under study. He applies the
tests to the sample and based on the results of the tests, gives his
recommendation about the whole population.
Sampling
is necessary because we usually cannot gather data from the entire population
due to large or inaccessible population or lack of resources. Even in
relatively small populations, the data may be needed urgently and including
everyone in the population in data collection may take too long.
is necessary because we usually cannot gather data from the entire population
due to large or inaccessible population or lack of resources. Even in
relatively small populations, the data may be needed urgently and including
everyone in the population in data collection may take too long.
The following
are some of the roles or sampling techniques in research:
are some of the roles or sampling techniques in research:
1.
To help
in minimizing error from the despondence due to large number in the population
To help
in minimizing error from the despondence due to large number in the population
2.
Sampling
helps the researcher to meet up with the challenge of time
Sampling
helps the researcher to meet up with the challenge of time
3.
To bring
the population to a manageable number
To bring
the population to a manageable number
4.
To reduce
cost
To reduce
cost
