Fundamentally, there
are two types of sampling methods:
(a)
Probability Sampling Method and
(b)
Non-probability Sampling
Methods.
In case of: (a) Probability Sampling Method
i) The probability or chance of
every unit in the population being included in the sample is known.
ii) Selection of the specific units
in the sample depends entirely on chance.
iii)
No substitution of one unit for
another is permissible and hence no human judgment or bias on account of this
is possible.
iv)
It is possible to measure the
sampling error and hence we can know the degree of precision.
v) The use of probability sampling
also enables us to determine the sampling size for a given degree of precision
and also enable us to choose a representative sample.
vi) As probability sampling helps
in selection of a representative sample and gives the degree of precision, this
helps in building up confidence in the inference.
vii) Various techniques of
probability sampling are: (i) Simple Random Sampling, (ii) Systematic Sampling, (iii) Cluster Sampling, (iv) Multistage and Multiphase
Sampling
(b) Non-Probability Sampling
Method
i)
In a non-probability sample,
the probability of indecision of any unit (of population) in a sample is not
known.
ii) The selection of units within a
sample involves human judgment rather than pure chance.
iii) The maximum information
available “per rupee” which can be determined from a probability sample is not
possible in this case and moreover, the degree of accuracy is not known.
iv) Although the probability
sampling is scientific and gives the accuracy involved, however, because of
convenience and economy, the non-probability samples are preferred as compared
to probability samples.
v) Many times, samples are
selected by interviewers “at random” meaning that the actual sample selection
is left to the choice of the researcher, such samples are non-probability
samples and not probability samples.
Various techniques used in
non-probability sampling methods: 1. Judgment Sampling 2. Quota Sampling 3. Convenience Sampling
SAMPLING TECHNIQUE (1)
Probability Random Sampling (a)
Simple Random Sampling (b)
Stratified Random Sampling (c) Systematic Sampling (d)
Cluster Sampling (e) Multistage Sampling
2) Non-probability Sampling Techniques (a) Deliberate Sampling (b) Quota Sampling (c)Convenience Sampling
2) Non-probability Sampling Techniques (a) Deliberate Sampling (b) Quota Sampling (c)Convenience Sampling
No comments:
Post a Comment