Type of
Sampling AssumptionsPossibility
of Bias RepresentativenessOther
Comments
Simple
random
samplingEach subject has
the same chance
to be selected
Strategy used to
select subjects
upholds
randomizationLow risk of bias
if randomization
of subjects is
upheldWith each subject
having the same
chance for selection,
high probability the
sample will represent
the population as
long as sample size is
sufficientTime
consuming for
researcher if
the study has
a large sample
sizeStratified
random
samplingStrata must be
mutually exclusive
so a subject can
be assigned to
only one stratum
Random
sampling used
to select subject
from each
stratumLow risk of bias
if randomization
of subjects is
upheldIf assumptions
are upheld, high
probability the
sample will represent
the population if the
number of subjects
in each stratum is
sufficientTime
consuming for
researcher if
the study has
a large sample
sizeCluster
samplingSimple random
sampling used
to first select
groups or clusters
and then select
subjects within
each clusterPotential for
bias greater
if the initial
clusters selected
under- or
overrepresent
groups within
the populationGreater potential
for the sample
to not represent
the population
depending on how
the initial clusters are
selectedLess time
consuming than
the first two
because the
initial clusters
focus the sites
for subject
selection
Systematic
samplingBegin sampling
with a random
start. Start
counting each kth
subject on the list
by first identifying
the start location.
Or, close eyes and
point to a number
on the list to start
the countingSome bias may
be introduced if
randomization
of start
location is not
maintainedIf bias occurs, not
as representative of
population as other
three sampling
methodsSimpler to
complete
than the other
three forms
of probability
samplingData 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 11-1 Overview of Probability Sampling Methods
11.2 Sampling Methods 291