Nonrandom sampling (1)

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Transcript of Nonrandom sampling (1)

Page 1: Nonrandom sampling (1)

Systematic

Convenience

Purposive

Population Genaralizability

Ecological Genearalizability

Page 2: Nonrandom sampling (1)

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.