This document outlines the steps in the sampling design process: 1. Define the target population, which is the group to which conclusions will be generalized. 2. Determine the sampling frame, which is the list of all elements that can be sampled. 3. Select the appropriate sampling technique, either random or non-random, depending on the research needs. 4. Determine the sample size based on the nature of research and desired analysis. 5. Execute the sampling process by following the defined target population, sampling frame, technique, and size.

1.  VARUN BANSAL
20171004
 SHAILESH CHOUDHARY
20171113
 NISHITA MUNDRA
20171128
 RAJABABU GUPTA
20171021
 GAURAV MISTRY
20171035
 PRIYANKA SHARMA
20171048
 YASHKUMAR SIMARIA
20171148

2. Introduction
What is Sampling?
Why Sampling is Essential?
Sampling technique

3. Define Target Population
Determine the Sampling Frame
Select the appropriate sampling
technique
Determine Sample size
Execute Sampling process
SAMPLING DESIGN PROCESS

4. 1. Define Target Population
 Target Population refers to the entire group of individuals or
objects to which researchers are interested in generalizing the
conclusions.
 Improper definition of the target population will lead to misleading
results which might prove dangerous for a researcher.
 Therefore, target population must be defined very carefully.

5. 2. Sampling frame must be
determined
 Sampling frame is the source material or device from
which a sample is drawn.
 It is a list of all those within a population who can be
sampled and may include individuals, households or
institutions.
 Sampling is carried out from the sampling frame and not
from the target population.

6. 3.Appropriate sampling technique
must be selected.
 Selecting a sampling technique is a crucial decision for a
researcher.
 A researcher has to decide whether to use random
sampling or non- random sampling techniques.

7. 4. Sample size must be defined
 Sample size refers to the number of elements to be
included in the study.
 Nature of research and analysis is an important
consideration while deciding the sample size.
 For qualitative research – small sample is sufficient.
 For conclusive research – larger sample is required.

8. 5. Sampling process must be executed
 The execution of sampling technique require detailed
specification of target population, sampling frame,
sampling techniques and the sample size.
 Each step in the sampling process must be effectively
executed.

9. Random
Sampling
Simple
Random
Sampling
Stratified
Random
Sampling
Cluster or
Area
Sampling
Systematic
Sampling
Multi –
Stage
Sampling
Non- Random
Sampling
Quota
Sampling
Convenience
Sampling
Judgment
Sampling
Snowball
Sampling
SAMPLING TECHNIQUES/ METHODS

10. Random sampling
1. Simple random sampling
 – each member of population has an equal
chance of being included in the sample .
 -SRS is most common method of selecting a sample
form population

11. 2.Stratified random sampling-
 - SRS is based on the concept of homogeneity and heterogeneity.
 -SRS is element in population are divided into homogeneous groups
called strata.
 -In this method researcher selecting simple random sampling from
each from each strata.

12. 3. Systematic Sampling –
 -It is also called as “Quasi-Random” Sampling
 -In SS, sample elements are selected from population at
uniform intervals in term of time, order, or space

13. 4. Cluster Sampling-
 -Researcher divides the population into separate groups, called
clusters
 -In cluster sampling we divided the population into non-
overlapping areas or cluster
 -Then, a simple random sample of clusters is selected from the
population. The researcher conducts his analysis on data from
the sampled clusters.

14. 5.Multi-stage sampling-
 -multi-stage sampling involves the selection of units in more
than one stage
 -in Multi-stage sampling first a sample is taken from primary
stage unit then sample is taken from secondary stage unit

15. Sampling As Related To Qualitative
Studies
 Qualitative sampling
 Purposive sampling(Theoretical sampling)
 Grounded theory
 Theoretical saturation

16. Central Limit Theorem
 If a population is normally distributed, the
sample means for samples taken from that
normal population are also normally distributed
regardless of sample size.

17. THANK YOU!