2. where you take a very tailored sample that’s
in proportion to some characteristic or
trait of a population. For example, you
could divide a population by the state they
live in, income or education level, or sex.
The population is divided into groups (also
called strata) and samples are taken from
each group to meet a quota. Care is taken to
maintain the correct proportions
representative of the population.
QUOTA SAMPLING
3. EXAMPLE:
A researcher wants to survey
college students of the SPUP
about what smartphone brand they
prefer to use in studying. He
considers a sample size of 500
respondents. Here’s how the
researcher can divide the
population by quotas:
4. GENDER
1. POPULATION & SAMPLE SIZE:
College Students of SPUP = 10,000
Sample Size = 500 students
2. STRATUM/SUBGROUP:
Males = 4,000 & Females = 6,000
3. PROPORTION OF STRATUM TO THE POPULATION:
Males = 4,000 ÷ 10,000 = 0.4 x 100 = 40%
Females = 6,000 ÷ 10,000 = 0.6 x 100 = 60%
4. PROPORTION OF SAMPLE TO THE STRATUM:
Males = 40% of 500 = 200
Females = 60% of 500 = 300
TOTAL: 500 participants
5. COLLEGE DEPARTMENT
1. POPULATION & SAMPLE SIZE:
College Students of SPUP = 10,000
Sample Size = 1,000 students
2. STRATUM/SUBGROUP:
College Department = SASTE, SNAHS, SITE, SBAHM
SASTE = 3,000
SNAHS = 4,000
SITE = 1,000
SBAHM = 2,000
6. 3. PROPORTION OF STRATUM TO THE POPULATION:
SASTE = 3,000 ÷ 10,000 = 0.3 x 100 = 30%
SNAHS = 4,000 ÷ 10,000 = 0.4 x 100 = 40%
SITE = 1,000 ÷ 10,000 = 0.1 x 100 = 10%
SBAHM = 2,000 ÷ 10,000 = 0.2 x 100 = 20%
4. PROPORTION OF SAMPLE TO THE STRATUM:
SASTE = 30% of 1,000 = 300
SNAHS = 40% of 1,000 = 400
SITE = 10% of 1,000 = 100
SBAHM = 20% of 1,000 = 200
TOTAL: 1,000 participants
7. YEAR LEVEL
1. POPULATION & SAMPLE SIZE:
College Students of SPUP = 10,000
Sample Size = 1,000 students
2. STRATUM/SUBGROUP:
First Year Students = 5,000
Second Year Students = 2,000
Third Year Students = 2,000
Fourth Year Students = 1,000
8. 3. PROPORTION OF STRATUM TO THE POPULATION:
First Year Students = 5,000 ÷ 10,000 = 0.5 x 100 = 50%
Second Year Students = 2,000 ÷ 10,000 = 0.2 x 100 = 20%
Third Year Students = 2,000 ÷ 10,000 = 0.2 x 100 = 20%
Fourth Year Students = 1,000 ÷ 10,000 = 0.1 x 100 = 10%
4. PROPORTION OF SAMPLE TO THE STRATUM:
First Year Students = 50% of 1,000 = 500
Second Year Students = 20% of 1,000 = 200
Third Year Students = 20% of 1,000 = 200
Fourth Year Students = 10% of 1,000 = 100
TOTAL: 1,000 participants
9. also known as chain-referral
sampling is defined as a non-
probability sampling technique in
which the samples have rare traits.
This is a sampling technique, in
which existing subjects provide
referrals to recruit samples
required for a research study.
SNOWBALL SAMPLING
10.
11. EXAMPLE:
1. If researchers are interested in
conducting a study of ex-convicts, it
could be difficult to find a large sample
of people who would be willing to come
forward to be in the study. But if
researchers can find just a few ex-
convicts to be in the study, they could
ask each of them to recruit additional
people they may know who are also ex-
convicts.
12. EXAMPLE:
2. Suppose you’re conducting a study on
the homeless in society. It may be
difficult to obtain a list of homeless
individuals and their contact
information. However, if you can get in
touch with a handful of homeless
individuals, they could help refer
other homeless people for your study.
13. -is a non-random sampling
of choosing samples which
is based on a certain
criteria and rules laid
down by the researcher.
PURPOSIVE SAMPLING
14. Suppose your school will be
implementing a reading
intervention or remediation
program.
Example 1
15. Example 1
The purposive sampling technique applies
when you select the learners who fall
under non and frustration levels. They
are the ones who will undergo the
school’s reading intervention or
remediation program.
16. Example 2
You wanted to know the satisfaction level of
teachers working in the Department of
Education, specifically in your school. To
identify the participants of your study, you
will only select those teachers who have 5
years and above teaching experience with
permanent status only.
17. -is a non-probability
sampling procedure where
the members of the sample
are determined based on
convenient availability,
proximity or accessibility
to the researcher.
CONVENIENCE SAMPLING
18. You are doing a survey about the
effect of face-to-face classes to
parents. So, you stand next to
the School gate and approach
parents who drops their children.
Example 1
19. Example 2
Suppose you are conducting a survey
on what is the most widely use
social media platform among high
school students. You decided to stay
and distribute survey forms at a
café near a school.