The document discusses sampling procedures for quantitative research. It identifies different sampling techniques including probability sampling methods like simple random sampling, systematic random sampling and stratified random sampling. Non-probability sampling methods like convenience sampling, quota sampling, purposive sampling, and snowball sampling are also covered. The document emphasizes that the goal of sampling is to obtain a sample representative of the target population. It also addresses determining an appropriate sample size.

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SAMPLING
PROCEDURE FOR
QUANTITATIVE
RESEARCH
UNIT 4: QUANTITATIVE
RESEARCH DESIGN AND
METHODOLOGY
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How can you ensure
that the sample is
representative of the
population you are
studying?

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Contents
LEARNING OBJECTIVES
01 02
03
Identify the different
sampling techniques
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Choose an appropriate
sampling technique for a
research study.
Determine the sample size based
on your target population.

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1.What are the limitations of the survey
with regard to the sampling of their
participants?
2. How can researchers ensure that the
participants for their research represent
a target population?
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SOMETHING TO THINK ABOUT

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Population is a group of people possessing
a similar characteristic.
Sample pertains to the subgroup or a
portion from a population.
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SAMPLING IN
QUANTITATVE
RESEARCH
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PROBABILITY
SAMPLING

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In probability sampling, all individuals
from the target population have an
equal chance of being selected for
the sample.
PROBABILITY
SAMPLING
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Simple random sampling is
when the researcher
randomly selects their
participants from a list of all
the individuals from the
population.
SIMPLE RANDOM
SAMPLING
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In systematic random sampling, the
researcher randomly decides on a
starting point in the list and chooses
every nth case from the population.
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SYSTEMATIC RANDOM
SAMPLING
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Stratified random sampling pertains
to the division of the target
population into subgroups and
randomly selects participants from
each subgroup.
STRATIFIED RANDOM
SAMPLING
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NON-PROBABILITY
SAMPLING

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In convenience sampling, the
researcher recruits participants who
are readily available and accessible to
participate in the research study.
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CONVENIECE
SAMPLING
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Quota sampling
involves selecting
people from different
subgroups from the
target population.
QUOTA SAMPLING
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In purposive sampling, the researcher
chooses their participants intentionally
because they are considered as most
suitable for the research study.
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PURPOSIVE SAMPLING
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Snowball sampling is done when the
researcher contacts few potential
participants and asks them if they can
refer more participants having similar
characteristics as them.
SNOWBALL SAMPLING
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Non-probability sampling is used to
address practical concerns in a
research study. The most common
methods under this technique are
convenience, quota, purposive, and
snowball sampling.
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REMEMBER
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A sample size is the actual number of
individuals who participated in the
research study and contributed
significant data.
SAMPLE SIZE
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1.What are some of the differences between
probability and nonprobability sampling?
2. What are the things to be considered when
deciding on your sample size?
QUICK CHECK
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• The goal of sampling in quantitative research is
to obtain a sample of individuals who are
representative of the target population.
• The techniques used in sampling for
quantitative research are probability and non-
probability sampling.
WRAP UP
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• Probability sampling is categorized into simple,
systematic, and stratified random sampling.
• Convenience, quota, purposive, and snowball
sampling are the most common types of non-
probability sampling.
WRAP UP
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) WRAP UP
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