Transcript SAMPLING

Sampling
Randomization
Stratification
Proportional
Clusters
Systematic
Purposive
Randomization
1. Specify the population.
2. Determine sample size.
3. List all members of the population.
4. Assign all individuals on the list a
consecutive number from zero to the
required number.
5. Select an arbitrary number in the table
of random numbers.
Randomization
6. For the selected number, look at only
the appropriate number of digits.
Work your way through through the
column until you attain the desired
sample size.
Stratification
1. Specify the population.
2. Determine the sample size.
3. Identify the variable and subgroups
(strata) for which you want to guarantee
appropriate representation.
4. Classify all members of the population as
members of the identified subgroups.
5. Randomly select an “appropriate” number
of individuals from each of the subgroups.
Proportional
1. Specify the population.
2. Determine the sample size.
3. Identify the subgroups and subgroups
(strata) for which you want to
guarantee proportional representation.
Proportional
4. Classify all members of the population
as members of one of the identified
subgroups.
5. Determine the number or ratio of
individuals in each subgroup.
6. Randomly select a proportional number
Clusters
1. Specify the population.
2. Determine the sample size.
3. Identify and define a logical cluster.
4. List all clusters that comprise the
population.
5. Estimate the average number of
population members per cluster.
Clusters
6. Determine the number of clusters
needed by dividing the sample size
by the estimated size of the
cluster.
7. Randomly select the needed
number of of clusters.
8. Include in your study all population
members in each cluster.
Systematic
1. Specify the population.
2. Determine the sample size.
3. Obtain a list of the population.
4. Determine k by dividing population
size by desired sample size.
Systematic
5. Start at some random place at the top
of the population list.
6. Starting at random point, take every
Kth name on the list until the desired
sample size is obtained.
7. If the end of the list is reached before
the desired sample size is attained,
go back to the top of the list.
Purposive
A type of non-probability sampling
characterized by the use of judgment
and a deliberate effort to obtain a
representative sample.
Sample Size
Determination
1 Nature of population
2 Type of investigation
3 Degree of precision desired
X NP (1  P )
S 2
2
d ( N  1)  X P (1  P )
2
S = required sample size
N = population size
P = population proportion for table
construction has been assumed to be
.50
d = degree of accuracy
2
X = table value for chi square
Table for Determining Needed Sample
Size
N
10
25
50
100
150
200
S
10
24
44
80
108
132
N
250
300
400
500
750
1000
S
152
169
196
217
254
278