Evidence-Based Practice for Nurses

(Ben Green) #1
Type of
Sampling Assumptions

Possibility
of Bias Representativeness

Other
Comments
Simple
random
sampling

Each subject has
the same chance
to be selected
Strategy used to
select subjects
upholds
randomization

Low risk of bias
if randomization
of subjects is
upheld

With each subject
having the same
chance for selection,
high probability the
sample will represent
the population as
long as sample size is
sufficient

Time
consuming for
researcher if
the study has
a large sample
size

Stratified
random
sampling

Strata must be
mutually exclusive
so a subject can
be assigned to
only one stratum
Random
sampling used
to select subject
from each
stratum

Low risk of bias
if randomization
of subjects is
upheld

If assumptions
are upheld, high
probability the
sample will represent
the population if the
number of subjects
in each stratum is
sufficient

Time
consuming for
researcher if
the study has
a large sample
size

Cluster
sampling

Simple random
sampling used
to first select
groups or clusters
and then select
subjects within
each cluster

Potential for
bias greater
if the initial
clusters selected
under- or
overrepresent
groups within
the population

Greater potential
for the sample
to not represent
the population
depending on how
the initial clusters are
selected

Less time
consuming than
the first two
because the
initial clusters
focus the sites
for subject
selection
Systematic
sampling

Begin 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 counting

Some bias may
be introduced if
randomization
of start
location is not
maintained

If bias occurs, not
as representative of
population as other
three sampling
methods

Simpler to
complete
than the other
three forms
of probability
sampling

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 11-1 Overview of Probability Sampling Methods


11.2 Sampling Methods 291
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