2. 26 April 2020 R.Vasanthagopal PhD 2
Research
Research-
organized set of activities
to find practical solution
for a realistic problem
supported by data
3. Research Process
Formulating the research problem
Survey and review of literature
Asking research questions and developing hypothesis
Deciding on the research design
Sampling design
Collecting data
Analysis and interpretation of data
Testing the hypotheses
Findings, conclusion and suggestions
Report writing
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4. Sampling Design…..
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Design of a sample refers to
the method used to collect the
data
A proper sampling design
must start with a sample
which is representative of the
population
5. Census Vs. Sampling
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Investigation of
all individual
elements
Using a small
number of items
of larger
population
Impracticable to
survey the entire
population
Budget
constraints
Time constraints
Immediate need
of results
6. Target Population, Study Population and Sample
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Sampling frame: The list from which the
potential respondents are drawn viz. list
of employees
7. Sampling Scheme/Methods/Techniques
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All units in
the
population
have an
equal
probability of
being chosen
Sample
selection
not based
on the
rationale of
probability
theory
9. What is Appropriate Sample Design?
Degree of accuracy
Resources
Time
Need for statistical analysis
Representative of the population
Appropriately sized (the larger the better)
Random (selections occur by chance)
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10. Determination of Sample Size
A survey estimated that 20% of all
Indians aged 21 to 35 drove under
the influence of alcohol. A similar
survey is planned for Kerala. They
want a 95% confidence interval to
have a margin of error of 0.04.
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n=.20(1-.20)1.96x1.96/.04x.04
=384.2
Note: z is the z-score, e.g. 1.645 for a 90%
confidence interval,1.96 for a 95% confidence
interval, 2.58 for a 99% confidence interval
Note: Typical surveys have margins of error ranging from
less than 1% to something of the order of 4% - we can
choose any margin of error we like but need to specify it.
Sample size formula
n=N/1+Ne2
Solvin’s(1960) Formula(When population is known.
Where e=Margin of error