Type of
Sampling Assumptions
Possibility
of Bias Representativeness
Other
Comments
Convenience
sampling
- Inclusion criteria
identified prior
to selection of
subjects - All subjects
are invited to
participate
Highest
probability
of bias
Because sample
is selected for
ease of data
collection, may not
be representative
of the target
population
Seen in many
nursing
studies
because of
ease of data
collection
Quota
sampling
- Strata must be
mutually exclusive
so a subject can be
assigned to only
one stratum - Convenience
sampling used to
select subject from
each stratum
May have
some bias
resulting from
convenience
sampling
after strata are
identified
Because sample
within each stratum
is selected using
convenience
sampling method,
may not represent
the population
Similar to
stratified
random
sampling
except
convenience
sampling is
used to obtain
the sample in
each stratum
Purposive
sampling
- Researcher
has sufficient
knowledge of topic
to select sample
of experts - Researcher
should identify
criteria to include
in selection of
subjects - Commonly used
in qualitative
research
May have
minimal bias if
identification
of participants
adheres to
selection criteria
and sample
in study is
homogenous
Because sample
is selected by
researcher,
cannot generalize
to population;
generalizing the
results is not an
expected outcome
of qualitative
research
Focus of this
research is to
learn more
about and
understand
the
phenomenon
being studied
Theoretical
sampling
- Data collection
and data
analysis occur
simultaneously - Commonly used in
grounded theory
research
Not applicable
with this type
of sampling
Cannot generalize
to population;
generalizing the
results is not an
expected outcome
of grounded theory
research
Used in
grounded
theory
Data from Gray, J., Grove, S., & Sutherland, S. (2016). Burns and Grove’s the practice of nursing
research: Appraisal, synthesis, and generation of evidence (8th ed.). St. Louis, MO: Saunders;
Polit, D., & Beck, C. T. (2014). Essentials of nursing research: Appraising evidence for nursing
practice. Philadelphia, PA: Lippincott Williams & Wilkins.
TABLE 11-3 Overview of Nonprobability Sampling
296 CHAPTER 11 Using Samples to Provide Evidence