This presentation consists of description of sampling and developing a conceptual understanding of sampling.

1. Anjali Sharma(Ph.D.)
Associate Professor
School of Education
Central University of Rajasthan
Population
SampleSampling

2. Should all the people be
studied?
or
A limited number of person
drown from total people
should be studied?
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3. Population and Sample
 All those people with
the characteristics
which the researcher
wants to study with
in the context of a
research problem is
known population.
 A sample is a
portion of
people drown
from entire
population. It
will be
representative
of the
population.
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SamplePopulation

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A sample is
a part of
the
population
which is
studied in
order to
make
inferences
about
whole
population
Our concern in Sampling is,
not about
what type of units
but
how many
and
units of what particular
description
and
by what method
should be
chosen.
Singleton and Straits

6. The some total or the aggregate
of all units /cases that conform
to some designated set of
specifications is called the
universe or population.
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7. Target Population
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Target population is one
to which the researcher
would like to generalize
results.

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Types of Sampling Method
Probability
Sampling
Non-Probability
Sampling
Involves random selection
and every unit has equal
opportunity is being
selected
Not-involve random
selection and every unit
does not get equal
opportunity being selected

9. Probability Sampling
It requires following conditions to be
satisfied.
Size of universe must be known.
Desired sample must be specified.
Complete list of subjects to be studied
should be available.
Each element must have an equal chance
of being selected.
Black and Champion,1976:266
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10. Types of Probability Sampling
Simple Random Sampling
Systematic Random Sampling
Stratified Random Sampling
Area or Cluster Sampling
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11. Simple Random Sampling
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 Equal probability-Every
individual in the population
has an equal chance of being
chosen.
• Independence-Selection of any
one is also in no way tied to
the selection of any other.

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Simple Random Sampling

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Sampling with Replacement
Sampling without Replacement

14. Systematic Random Sampling
Involves a random start using any nth element and the
selection of the rest of the sample is done systematically
i. e. every nth Interval
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15. Stratified Random Sampling
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Stratified Random Sampling
Sample
Population

17. Types of Stratified Random
Sampling
 Proportionate - In which sample
according to the proportion of the
parameters of population.
 Disproportionate -In which sample not
according to the proportion of the
parameters of population.
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18. Area or Cluster Sampling
Cluster sampling is successive random sampling.
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Stratum1
1
Stratum 2
Stratum 3

19. Multi-Stage Sampling
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Districts
Town
and/0r
Villages
States

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.
Multi-Phase Sampling
Sample is selected from various phases, but all sample is studied. Part of
the information is collected from whole sample while part of the
information is collected from sub sample.
Phase I
Phase II
Phase III

21. Non-Probability Sampling
Quota sampling
Accidental or Incidental sampling
Purposive or Judgmental sampling
Snowball Sampling
 Saturation And Dense sampling
Double sampling
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22. Quota Sampling
One form of the non-probability
sampling, in starts with a matrix of
population’s characteristics i.e. sex,
race, socio-economics status.
The set quota or percentage of each
characteristics is fulfilled in the
sampling.
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23. In this technique all
those units who are most
conveniently available or
who accidently come in
the contact during a the
certain period in the
research, are taken as
sample.
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R

24. Purposive Sample is
one arbitrarily
selected because
there is a good
evidence that it is
very representative
of total population.
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R

25. Snowball sampling
In this, begins with few
numbers who are known
and available to researcher.
Subsequently these
respondent give other
names who meet criteria of
research, who in term give
more names . This process
continue until adequate
number found or until no
more units are discovered.
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R

26. All the units of the population are selected
as sample on the criteria of research.
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27. In this half of the
units from the
population is drown as
sample . It can be
placed in between
simple random
sampling and
saturation sampling.
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Population
Sample

28. Double Sampling
In this
technique,
sample is
selected on
certain
criteria of
the research,
from this
sample again
sample units
are selected
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Population
First
Sample
Final
Sample

29. Sampling is
more effective
way for getting
knowledge
about census.
Thank you
 Source:
http://www.picturequot
es.com/by-a-small-
sample-we-may-judge-
of-the-whole-piece-
quote-554970
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30. References
Barratt,Helen 2009,Shantikumar,Shanti 2018.Method of sampling from
population.Health knowledge(Education, CPD and Revalidation PHast).
https://www.healthknowledge.org.uk/public-health-textbook/research-
methods/1a-epidemiology/methods-of-sampling-population
Mc Combes, Shona.(September 19, 2019;Revised on June 19, 2020.)
Understanding different sampling methods. Scribbr.
https://www.scribbr.com/methodology/sampling-methods/
Types of Sampling: Sampling Method with Example.(n.d.)Question Pro
https://www.questionpro.com/blog/types-of-sampling-for-social-research/
Types of sampling method:
https://images.app.goo.gl/dcLFbKGnCW2Y7KMZ8
Sampling PSM Made Easy: https://images.app.goo.gl/j8FrZXhQABCpwnuz8
Sampling(statistics) Wikipedia:
https://images.app.goo.gl/8mhPXTAEgq1cftNB6
Systematic Sampling(Definition) advantage and disadvantages:
https://images.app.goo.gl/RUQXoigKKMke3npHA
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