Nonrandom sampling (1)
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Systematic
Convenience
Purposive
Population Genaralizability
Ecological Genearalizability
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Every nth individual in the population list is
selected.
eg: the principal of a school has 1000
students, she wants to know how students feel
about the new menu at cafeteria, so the
principal:-
1. get a list of the student’s name (in
alphabetical order).
2. she select every 10th student until she has a
sample of 100 students to be interviewed.
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PERIODICITY-a marked bias sample caused by
the arrangement pattern of individual on the
list accidentally coincides with the sampling
interval.
eg: grouped by gpa(grade point average),
high/low interval: only good/poor graded
get chosen.
Therefore, researchers should carefully
examine the list and avoid bias.
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CONVENIENCE SAMPLING
A convenience sample is a group of
individuals who conveniently available.
samples:
1. first 50 people who walk in.
2. interview people at downtown.
3. two front rows students.
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Bias-
1. not downtown = not interviewed
2. unwilling = not interviewed
3. willing = strong opinion
4. interview time = at work
In general, convenience sample cannot be
considered representative of any population
and should be avoided.
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PURPOSIVE SAMPLING
Based on previous knowledge of a population and
the specific purpose of the research,researcher
use personal judgement to select a sample.
eg:SUITABLE SAMPLE
a. 2 good students,2 average & 2 weak
b. sample from Retired Workers Association
eg: sample know the target
A. people in charge of school
B. people with experience
THUS, the only challenge with purposive sampling is the
researcher’s previous knowledge must be thorough.
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Sample should be as large as a researcher
can obtain with a reasonable expenditure of
time and energy.
Ideals;
100 samples for DESCRIPTIVE STUDY
50 samples for CORRELATION STUDY
30 samples in each group for EXPERIMENTAL
STUDY& CAUSAL-COMPARATIVE STUDY
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External Validity = the result of a study can be
generalised from sample to population.
Ecological generalizability = result of a study can
be generalised to other settings.
Population generalizability = result of study can
be generalised to the intended population
-representativeness: relevant characteristics
Overlooked “method”-random student=random
teacher=random result.
Lost subject effect representativeness, researcher
who lost 10 % sample are advised to
acknowledge this limitation.
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1. researcher should describe the sample
thoroughly; reader judge the result validity.
2. Replication; repeat the study on different
group or situation. If result is the same;
generalise it.