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Reviewer FOR PR1 UT 2ND Quarter
Course: science education (0035)
10 Documents
Students shared 10 documents in this course
University: St.Marys College of Meycauayan
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REVIEWER FOR PR1 2 nd
QUARTER UNIT TEST
SAMPLING PROCEDURES
Qualitative Research Designs
Always remember that the research design
serves as the blueprint of your research study.
This is an extensive formation on the proper
flow and order on how the research study will
move forward in gathering data and making
proposed solutions to the given problem.
The common denominator of the qualitative
research designs is that, the researchers
conducts interviews, observations,
documentary analysis and administers
questionnaires. The questions in the
questionnaire are in
open-ended format
that
will be subjected to different interpretations of
the chosen respondents.
Sampling Procedure
Sampling Procedure - this is one of the ways
of choosing our respondents in our research.
They answer questions to support our tentative
claims and assumptions to the research
problem.
Probability Sampling
Probability Sampling - this sampling gives a
certain population the equal opportunity for
every member that is included in the sampling
frame in the selection process.
Simple Random Sampling
-
This is the best
type of probability sampling because this is a
pure-chance selection in which, every member
of the given population has the same
opportunity.
- Example: The researcher provides an
equal, objective, fair probability even if
it uses roulette method.
Systematic Sampling
-
In this sampling,
system and chance are the key factors that will
determine who should be included in the
sample.
- Example: If the selected starting point
was 30, the 80th person on the list
would be chosen followed by the 130th,
and so on. Once the end of the list was
reached and if additional participants
are required, the count loops to the
beginning of the list to finish the count.
Stratified Sampling
-
In this sampling, the
respondents are chosen through group-by-
group analysis.
- Example: We divide the number of
participants according to the number of
those who are belonging in the
respective category. Afterwards, it will
show the efficiency and proper
distribution of the given data.
Cluster Sampling - In this sampling, the
respondents are isolated instead of selecting
individuals.
- Example: We divide the entire
population into different clusters (cities)
in a regional cluster, and then the
researcher selects a number of clusters
through simple or systematic random
sampling, depending on his study. Then,
the researcher can either include all high
school students as subjects from the
selected clusters (randomly selected
cities) or, by simple or systematic
random sampling, the researcher can
pick a number of subjects from each
cluster.
Non - Probability Sampling
Non – Probability Sampling
-
the subjects or
respondents are chosen based on the following
reasons;
- Sole decision of the respondent;
- The willingness of the researcher;
- The respondent’s availability;
- The very purpose of the research study.
Quota Sampling
-
as a researcher, you
choose your respondents based on your
speculation that your sample members possess
a unique characteristic of the target population.
- Example: You will determine specific
conditions for each set and then once
they are equally distributed in each set.
In that way, it will be enough and
appropriate at the same time.
Voluntary Sampling
-
as a researcher, there
is no need for you to initiate a selection
process in choosing your respondents, since
the subjects are willing to be a part of the
research study.