This document discusses different types of non-probability sampling techniques: quota sampling, purposive/judgemental sampling, snowball sampling, convenience sampling, and panel sampling. Quota sampling involves dividing the population into groups and setting quotas for each group. Judgemental sampling relies on the researcher's judgement to select samples. Snowball sampling begins with initial participants who then refer other participants. Convenience sampling uses readily available participants. Panel sampling selects a group to participate in a longitudinal study over time.

1. Non- Probability
Random Sampling

2. Non- Probability Random Sampling
Types
Quota Sampling
Purposive / Judgemental Sampling
Snonwball Sampling
Convenience Sampling
Panel Sampling
Welcome to class!
Today's Agenda

3. Afia Mehmood FA20-BSM-001
Sana Akhtar Nagra FA20-BSM-024
Khadeeja Abid FA20-BSM-031
Adeeba Naeem FA20-BSM-039
Samiya Yasmeen FA20-BSM-042
Aroosha Tanveer FA20-BSM-050
My Team Members

4. Convenience Sampling
Convenience sampling is a type of non-probability
sampling.
it is type of sampling in which data is collected from the
" conveniently available respondents".
Convenience sampling also called graph sampling,
availability sampling,
accidental sampling, chunk sampling, haphazard
sampling etc.

5. More Facts about Convenience
Sampling
When to use it?
Convenience sampling is chosen when the
researcher has not enough resources for
data collection.
Lack of time, budget.
Preferable for pilot study.
Travelling restriction could be the reasons
of the convenience sampling .
For example: COVID-19
Advantages
Convenience sample is easy to
collect.
Convenience sampling is cost
effective.
less time and less resources
required for collecting the
convenience sampling.
Disadvantages
Sample are not the true
representative of the
population.
Results of the convenience
sampling could not be
generalized over entire
population.

6. Suppose you are researching public
perception towards the city of Seattle. You
have determined that a sample of 100
people is sufficient to answer your research
question.To collect your data, you stand at
a subway station and approach passersby,
asking them whether they want to
participate in your research. You continue
to ask until the sample size is reached
Online and social media survey. Asking
acquaintance and surveying people in a
mall on the street an in other crowded
locations.
Examples

7. It is a sampling techniques in which researcher select the sample based
on
Selection of a sample exclusively depend on the judgment of the
researcher.
Judgment of researcher depend on the criteria he has defined for
research,
It is vulnerable to sampling bias as it is entirely depends on researcher's
It is also called autorotative sampling, deliberate sampling selective
sampling, subjective sampling etc.
his knowledge and judgment.
the respondents which fulfills the criteria are selected for sample rest of
them are rejected.
judgment .
Judgemental Sampling

8. More Facts about Judgemental
Sampling
When to use it?
Usually use when a limited number of
individuals passes the trait of interest .
It is the only useable sampling techniques in
obtaining information from a very specific
group of people .
Advantages
It is simple and easy, no
complicated procedure is
involved to draw the sample.
Researcher select the sample
which is the true representative of
the population.
Data is collected only from the
relevant respondent .
Unnecessary respondents are
rejected.
Disadvantages
Personal judgment may leads
to sampling bias..
Judgment error may occur as
the researcher being.
Difficult to defined the
selection of participants.

9. Example
Popular journals conduct surveys in selected metropolitan cities to
Suppose the researcher want to study the beggars. He knows the
three area in the city where the beggar found in the abundance. He
will visit only these three areas in the city where beggar of choices
and convenience.
assess the populartiy of politician's and political parties or to
forecast election results.

10. Quota sampling is type of non-probability.
In this sampling techniques, entire population is subdivided
into homogenous group and then a quota " no of
items/respondents to be selected from sample" is fixed for
each group.
Once the quota is assigned to each group then sample is
selected using convenience or judgmental sampling.
Quota Sampling

11. More Facts about Quota Sampling
Types
Controlled Quota Sampling
Uncontrolled Quota Sampling
Advantages
Quota sampling is fast , easy and
inexpensive
Disadvantages
Sample may not be the true
representative of the population,
as sampling is
totally based on researcher's
convenience and judgment.

12. Examples
A researcher want to study the preference of mobile phone brand in females in a city: (
Suppose population is 1000 and sample size is 100).
A cigarette company wants to find out what age group prefers what brand of cigarettes
in a particular city. They apply survey quota on the age groups of 21-30, 31-40, 41-50,
and 51+. From this information, the researcher gauges the smoking trend among the
population of the city.

13. Snowball Sampling
Snowball sampling is a non-probability sampling method
where new units are recruited by other units to form part
of the sample. Snowball sampling can be a useful way to
conduct research about people with specific traits who
might otherwise be difficult to identify (e.g., people with
a rare disease).
Also known as chain sampling or network sampling,
snowball sampling begins with one or more study
participants. It then continues on the basis of referrals
from those participants. This process continues until you
reach the desired sample, or a saturation point.

14. More Facts about Snowball
Sampling
Types
Linear snowball sampling
Exponential non-discriminative
snowball sampling
Exponential discriminative
snowball sampling
Advantages
Snowball sampling helps you
research populations that you
would not be able to access
otherwise.
It is low-cost and easy to recruit a
sample.
Snowball sampling is flexible
Disadvantages
As the sample is not chosen
through random selection, it
is not representative of the
population being studied.
This means that you cannot
make statistical inferences
about the entire population
and there is a high chance
of research bias.

15. In researching the motivations of tiny house owners, you decide you only want to focus on
those who bought one in the past three years.As you inquire with your acquaintances, you find
someone who bought a tiny house a year ago. At the end of the interview, you ask them if they
know of other owners. You do not specify that the purchase has to be in the past three
years.As it happens, they do know of two more people who bought tiny houses in the same
area as they did. You contact both, and find out that one bought the house four years ago and
the other eight months ago. Since the one who bought the house four years ago does not meet
your criteria, you only interview the other.You repeat the same process, asking for referrals and
screening them until you have enough participants.
Example

16. Panel Sampling
Panel sampling involves randomly choosing a group of
people to be part of a panel that takes part in a study
several times over a period of time
For example, in a longitudinal survey, the same panel of
people might be surveyed repeatedly over time
Panel samples allows researchers to study changes
within the population as well as changes in individual
people, however they can be vulnerable to attrition if
people leave the study before it is finished

17. And we're done!
Any Query?

18. Thank You !