Sampling techniques are tools used to select respondents for research in a way that establishes reliable and valid findings. There are two main types of sampling: random and non-random. Random sampling gives each member of the population an equal chance of being selected, while non-random sampling uses the researcher's judgment. Some specific sampling techniques are fishbowl or lottery sampling, systematic sampling, stratified sampling, cluster sampling, purposive sampling, convenience sampling, incidental sampling, quota sampling, total sampling, and snowball sampling.

1. Sampling
Techniques
Sampling
Techniques

2. A tool that facilitates the selection of the number
of respondents necessary to establish the
reliability and validity of research findings.
1. Population – whole group
2. Samples – subject of observation
3. Respondents – individuals who are actually
involved in the study.
What is a Sampling Technique?

3. 1. Random Sampling
A method of choosing a sample size from a target
population. Each member of the population has an
equal chance to be included in the sample.
2. Non-Random Sampling
Uses discretionary process. Selection of respondents
is merely based on the researchers personal
judgement.
Two General Forms of Sampling
Techniques

4. 1. Fishbowl or Lottery
2. Systematic Sampling
3. Stratified Sampling
4. Cluster Sampling
Random Sampling

5. Fishbowl or Lottery
Sampling
Using a fishbowl, Researcher will write names of the
population and put it inside the fishbowl.
Systematic Sampling
Equal chances for each of them to be chosen using
a formula.

6. Stratified Sampling
Process of selecting samples where a stratum will
have a sufficient number of representatives from the
target population.
The basis of stratification are as follows:
a. Geographical Location
b. Occupation or Profession
c. Sex or Age
d. Civil Status or Educational Attainment

9. Cluster Sampling
The process of choosing the
samples in Cluster rather than
separate individuals.

10. 1. Purposive Sampling
2. Convenience Sampling
3. Incidental Sampling
4. Quota Sampling
5. Total Sampling
6. Snowball Sampling
Non Random Sampling

11. Purposive
Sampling
A technique where the researcher selects his
respondents on the basis of the common
characteristics of his samples.
Convenience Sampling
Selecting participants in a study on the basis
of the convenience of the researcher.

12. Incidental Sampling
A process of selecting respondents for a study
on the basis of the casual incidence of events.
Quota Sampling
A strategy in the selection of identified
samples where the researcher beforehand
sets a number of participants believed to be
sufficient to establish reliability of the study.

14. Total Sampling
All samples are included
as respondents.
Snowball Sampling
Type of sampling that refers to the process of
identifying some key people for interview. The
interviewees would later recommend other
samples who may be aware of the subject for
research.

15. Thank
You!
Thank
You!