TrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
Nonrandom sampling
1. Systematic
Convenience
Purposive
Population
Genaralizability
Ecological
Genearalizabilit
y
2. 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.
3. 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.
4. 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.
5. Bias-
1. not downtown = not interviewed
2. unwilling = not interviewed
3. willing = strong opinion
4. interview time = at work
Ingeneral, convenience sample cannot be
considered representative of any population
and should be avoided.
6. 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.
7. 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
8. 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.
9. 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.