A workshop on Sampling & Types of Sampling delivered by me Zulfiqar Behan. Date: 27th Jan 2016 workshop titled introduction to research methodology facilitators 1.Kiran Hashmi 2. Zulfiqar Behan Title: Sampling in research SLOs At the end of session participants will be able to Know types of sampling Application of sampling Venue: JamiaMillia College of Education Date: January 27, 2016 Time: 11:00 am to 12:00 pm Facilitator: Zulfiqar Behan zulfiqarbehan@yahoo.com It was a wonderful workshop for M.Ed class and teaching faculty of Jamia Milia College of Education Malir Karachi. workshop were hand and mind oriented participants took active interest.

1. Title: Sampling in research
SLOs
At the end of session participants will be
able to Know types of sampling
Application of sampling
Venue:
JamiaMillia College of Education
Date: January 27, 2016
Time: 11:00 am to 12:00 pm
Facilitator:
Zulfiqar Behan
zulfiqarbehan@yahoo.com

2. Sampling
•Sampling is the process of selecting units
(e.g., people, organizations) from a
population of interest so that by studying
the sample we may fairly generalize our
results back to the population from which
they were chosen.
•Sample = a smaller group selected from
the sample frame to participate in the
research

3. A sample is “a smaller (but hopefully
representative) collection of units from a
population used to determine truths about
that population” (Field, 2005)
Why sample?
Resources (time, money) and workload
Gives results with known accuracy that can
be calculated mathematically

4. Types of samples

5. Simple Random Sample
 Get a list or “sampling frame”
a. This is the hard part! It must not systematically exclude anyone.
 Generate random numbers
 Select one person per random numbers

6. Simple Random Sample
• Every subset of a specified size n from the
population has an equal chance of being
selected

7. SYSTEMATIC SAMPLING……
7
As described above, systematic sampling is an EPS method, because
all elements have the same probability of selection (in the example
given, one in ten). It is not 'simple random sampling' because
different subsets of the same size have different selection
probabilities - e.g. the set {4,14,24,...,994} has a one-in-ten
probability of selection, but the set {4,13,24,34,...} has zero
probability of selection.

8. Stratified Random Sample
1. Separate your population into groups or “strata”
2. Do either a simple random sample or systematic
random sample from there
a. Note you must know easily what the “strata”
are before attempting this
b. If your sampling frame is sorted by, say,
school district, then you’re able to use this
method

9. STRATIFIED SAMPLING…….
9
Draw a sample from each stratum

10. Cluster Random Sampling
• Similar to stratified sampling
but the groups are selected
for their geographical location
• i.e. school children within a
particular school.
• The school is the cluster with
the children being selected
randomly from within the
cluster

11. The Convenience Sample
Find some people that are easy to find

12. 12
CONVENIENCE SAMPLING…….
– Use results that are easy to get
12

13. Snowball sampling

15. zulfiqarbehan@yahoo.com
Thanks