Q4: Lesson 1.2 | Sampling Method Flashcards
is the best type of probability sampling through which you can choose sample
from a population;
Simple RandomSampling: Everyone Has a Chance
Using a pure-chance selection, you assure every member the same opportunity
to be in the sample;
Simple RandomSampling: Everyone Has a Chance
he only basis of including or excluding a member is by chance or opportunity,
not by any occurrence accounted for by cause-effect relationships.
Simple RandomSampling: Everyone Has a Chance
This method uses a regular interval to select participants.
Systematic Sampling: A Pattern of Selection
Useful when you want to ensure your sample accurately reflects different subgroups
within your population (e.g., age groups, genders, income levels).
Stratified Sampling: Representing Subgroups
Instead of selecting individuals, you select entire groups (clusters) to be part of your
sample.
Cluster Sampling: Sampling in Groups
Qualitative researchers choose participants (groups, settings, or
individuals) specifically because they are likely to provide rich information
about the topic being studied.
purposive/theoretical sampling,
often called theoretical sampling when the selection is guided by a
developing theory.
purposive/theoretical sampling,
sampling disregards randomselection of subjects.
NON-PROBABILITY
The
subjects are chosen based on their availability or the purpose of the
study, and in some cases, on the sole discretion of the researcher.
NON-PROBABILITY SAMPLING
This is
not a scientific way of selecting respondents.
NON-PROBABILITY SAMPLING
These methods don
‘t guarantee that everyone in your population has an
equal chance of being included in your sample.
NON-PROBABILITY SAMPLING
They are often used in
qualitative research or when other sampling methods are not feasible.
NON-PROBABILITY SAMPLING
You already have a good understanding of
the characteristics of the population you
‘
re studying (e.g., age, gender,
education level).
quota sampling
helps ensure your sample reflects the
proportions of different groups within the larger population, especially
when you think some characteristics are important to your research
question.
quota sampling
It’
s like building a miniature version of your population, based on
the traits you think matter most.
quota sampling
Participants choose to be in the study.
Voluntary sampling
No selection process is needed by the researcher.
voluntary sampling
Researchers select participants based on their knowledge or judgment
about who would be most informative.
Purposive/Judgmental Sampling:
Participants are chosen specifically because they have certain
experiences, expertise, or characteristics relevant to the research.
Purposive/Judgmental Sampling:
Participants are chosen based on their easy accessibility and willingness to
participate.
Availability/Convenience Sampling:
Often involves sampling whoever is available at the time and place of data
collection.
Availability/Convenience Sampling:
Useful when studying hard-to-reach or hidden populations (e.g., street children, drug users,
mendicants, call center workers, informal settlers, street vendors, etc).
Snowball Sampling: Finding Participants Through Connections
