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GIBS/MS108/BR/U3/L21/DAKG
SAMPLING
GIBS/MS108/BR/U3/L21/DAKG
Lecture Outline:
• Concept of Sampling
• Need for Sampling
• Disadvantages of Sampling
GIBS/MS108/BR/U3/L21/DAKG
Keywords
1. Sample
2. Population
3. Universe
4. Homogeneous
5. Heterogeneous
GIBS/MS108/BR/U3/L21/DAKG
INTRODUCTION
Sampling is the process of selecting observations
(a sample) to provide an adequate description
and inferences of the population.
 Sample
 It is a unit that is selected from
population
 Represents the whole population
 Purpose to draw the inference
 Why Sample???
 Sampling Frame
Listing of population from which a sample is chosen
GIBS/MS108/BR/U3/L21/DAKG
Definition of Sampling:
Measuring a small portion of
something and then making a
general statement about the
whole thing.
Process of selecting a number
of units for a study in such a
way that the units represent
the larger group from which
they are selected.
GIBS/MS108/BR/U3/L21/DAKG
SAMPLING
Population
Sample
Sampling
Frame
Sampling Process
What you
want to talk
about
What you
actually
observe
in the
data
Inference
GIBS/MS108/BR/U3/L21/DAKG
7
SAMPLING…….
TARGET POPULATION
STUDY POPULATION
SAMPLE
GIBS/MS108/BR/U3/L21/DAKG
The sampling frame
A list of all elements or
other units containing the
elements in a population.
8
GIBS/MS108/BR/U3/L21/DAKG
Population…
…the larger group from
which individuals are
selected to participate in
a study.
GIBS/MS108/BR/U3/L21/DAKG
Target
population
A set of elements
larger than or
different from the
population
sampled and to
which the
researcher would
like to generalise
study findings.
GIBS/MS108/BR/U3/L21/DAKG
GIBS/MS108/BR/U3/L21/DAKG
IF THE POPULATION IS
HOMOGENEOUS
GIBS/MS108/BR/U3/L21/DAKG
IF THE POPULATION IS
HETEROGENEOUS
GIBS/MS108/BR/U3/L21/DAKG
Why We Need Sampling
1. Sampling makes possible the study of a
large, heterogeneous (different
characteristics) population.
- The universe or population to be
studied maybe too large or unlimited
that it is almost impossible to reach all of
them. Sampling makes possible this kind
of study because in sampling only a small
portion of the population maybe involved
in the study, enabling the researcher to
reach all through this small portion of
the population.
GIBS/MS108/BR/U3/L21/DAKG
2. Sampling is for economy.
- Research without
sampling may be too costly.
Sampling reduces the study
population to a reasonable size
that expenses are greatly
reduced.
3. Sampling is for speed.
- Research without
sampling might be too time
Why We Need Sampling
GIBS/MS108/BR/U3/L21/DAKG
4. Sampling is for accuracy.
- If it takes too long a
time to cover the whole study
population, there maybe
inaccuracy. The research must
be finished within a reasonable
period of time so that the data
are still true, valid and
reasonable.
Why We Need Sampling
GIBS/MS108/BR/U3/L21/DAKG
5. Sampling saves the sources of
data from being all consumed.
- The act of gathering data
may consume all the sources of
information without sampling.
In such a case, there is no more
data to apply the conclusion to.
Why We Need Sampling
GIBS/MS108/BR/U3/L21/DAKG
Disadvantages of Sampling (Defective
Sampling)
1. If sampling is biased, or not
representative, or too small,
the conclusion may not be
valid and reliable.
2. In research, the respondents
to a study must have a
common characteristics
which is the basis of the
study.
GIBS/MS108/BR/U3/L21/DAKG
Disadvantages of Sampling (Defective
Sampling)
3. If the population is very large
and there are many sections and
subsections, the sampling
procedure becomes very
complicated.
4. If the researcher does not
possess the necessary skill and
technical knowhow in sampling
procedure.
GIBS/MS108/BR/U3/L21/DAKG
Q1. Sample is a unit that is
selected from _________.
a) Universe
b) World
c) Country
d) Population
GIBS/MS108/BR/U3/L21/DAKG
Q2. Which of the
statement is not correct?
1. Sampling is for economy.
2. Sampling is for shortcut.
3. Sampling is for speed.
4. Sampling is for accuracy.
GIBS/MS108/BR/U3/L21/DAKG
Next class we will
discuss about Types
of Sampling Design

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Sampling, technique, procedure -- a detail idea

Editor's Notes

  • #11: Picture of sampling breakdown