3. 1.) WHAT ARE THE TWO TYPES OF
SAMPLING METHODS?
c.) Qualitative Sampling &
Quantitative Sampling
d.) Population Sampling &
Sampling Technique
a.) Simple Random Sampling
& Purposive Sampling
b.) Probability Sampling & Non-
probability Sampling
4. 2.) IT IS ANY COMPLETE GROUP
SHARING A COMMON SET OF
CHARACTERISTICS.
a.) Population
b.) Sample
c.) Sampling Technique
d.) People
5. 3.) IT IS A SUBSET OR A PART OF A LARGER
POPULATION. IT IS A SMALLER COLLECTION OF
UNITS FROM A POPULATION USED TO DETERMINE
TRUTHS ABOUT THAT POPULATION
A. Population
B. Research design
C. Sample
D. Population size
6. 4.) WHAT TYPE OF SAMPLING
TECHNIQUE IS SIMPLE RANDOM
SAMPLING?
a) Population Sampling b) Non-probability Sampling
c) Target population d) Probability Sampling
7. 5.) WHAT IS THE DIFFERENCE
BETWEEN BETWEEN PROBABILITY
AND NON-PROBABILITY SAMPLING?
A. Non-probability sampling involves randomization
which makes everyone from your population an equal
amount of chance to be selected, while Probability
sampling lacks randomization
B. probability sampling involves randomization
which makes everyone from your population an
equal amount of chance to be selected, while Non-
probability sampling doesn't include
randomization
C. There is no difference between the
two, since they both involve the
selection of participants from your
participation.
D. none of the above
8. POPULATION AND SAMPLE
The larger group from which individuals are selected to participate in a
study. Population members have to comply with the requirements of the
study in order to be included.
The sample size is the total number of observations utilized to calculate
estimates for a certain population. The sample was taken from the
population in the specified number. Sampling is the process of choosing a
portion of the population to represent the population as a whole in order to
estimate its characteristic
POPULATION
SAMPLE size
9. POPULATION AND SAMPLE
The sampling technique is the method used to choose a
sample from a population in order to study it. It allows
researchers to gather information and analyze data from a
subset of the population without having to investigate every
individual. There are several different sampling techniques
available, which can be divided into two groups: probability
sampling and non-probability sampling.
SAMPLING TECHNIQUE
10. Probability Sampling
Probability sampling is primarily used in quantitative research in
order to avoid biases in the results, since quantitative involves
more participants than qualitative. This type of sample gives the
members of the population have equal chance to be selected as
subject in the research, due to the concept of randomization.
Randomized
Everyone has a chance of being selected
Time consuming
11. Simple Random Sampling
This type of probability sampling is perhaps the easiest and most used
sampling technique among student researchers, in this method the
researchers randomly selects a subset of participants from a
population. Usual examples from this method is "spin the wheel" and
"taking out names from a hat"
12. Stratified sampling is another probability sampling where you place
your population into a "strata" or "group" basing on their
characteristics, these characteristics may include their age, gender,
hair color and then selecting randomly out of those groups.
The main characteristic of this sampling method is you intend to
turn your heterogenous population to homogeneous groups called
strata.
Stratified sampling
13. Cluster Sampling
Cluster sampling is sampling method where the researcher creates multiple
clusters of people from a population where they are indicative of
homogeneous characteristics and have an equal chance of being a part of the
sample
14. Systematic Sampling
A type of probability sampling method in which a subset with a
larger population is selected according to a a random starting
point but with a fixed periodic interval (Hayes, 2022)
Helps minimize biased samples and poor survey results
When every case after a random selection is selected
15. Non-Probability Sampling
Non-Probability Sampling techniques are most often utilized
in Qualitative research studies since its goal is to understand
even the most overlooked population which opposes the idea of
Quantitative research which is more focused with testing a
hypothesis from a broader population.
Respondents are chosen using a nonrandom criteria
Not everyone has a chance to be picked
Easier and cheaper to access
Open for sampling bias
17. (a) Purposive Sampling
A type of sampling method where units or respondents are selected
because they have characteristics needed in your sample
(Nikolopoulou, 2022).
18. (b) Snowball Sampling
Chain-referral
A sampling technique in which existing subjects or
respondents refer new respondents to be recruited for a
research study.
19. (c) Quota Sampling
Is a non-probability sampling approach that relies on a
specified number or proportion of units being chosen at
random. This is known as a quota.
20. (d) Convenience Sampling
Convenience sampling is a non-probability sampling
technique in which units are chosen to be included in the
sample because they are the most easily accessible to the
researcher. This could be because of geographical
proximity, availability at a specific time, or willingness to
engage in the research.
Sampling technique where
respondents are chosen because
they are easier to access or reach
out to.
22. Instructions
You are given 4 different situations that makes use of
different sampling techniques, and you have to identify
and justify which sampling technique is used in every
situtation.
23. Situtation 1
It's the mist of the pandemic, a corrupt barangay captain
is about to hand out foodpacks to his barangay
members. In order to save his foodpacks and keep most
to himself, he decided that he will only give a foodpack
to every 6th house in the barangay. What kind of
sampling technique did the corrupt barangay captain
use?
24. Situation 2
You encourage your fellow students to fill a survey on
the topic after each class since you are collecting
thoughts regarding the student assistance services
offered at your school. The sample is not typical of all
the students at your school because you only polled
those taking the same classes as you at the same level,
despite the fact that this is a convenient method to
collect data.
25. Situation 3
John is running a free taste test at a local supermarket
to test whether the delicacy they've come up with
would be loved by the masses. Since the number of
food samples are limited, John set a target that only the
first 60 people to approach them would taste their
delicacy. What type of sampling technique was shown
in the situation?
26. Situation 4
You heard a rumor around school about three
students caught smoking in the fire exit. You run
straight to your friends and ask about this rumor
and your friends head straight for their friends to
ask the same. What sampling technique is
portrayed in this scenario and why do you think
so?
