Sampling Flashcards

1
Q

population

A

everyone fitting criteria
clearly defined

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2
Q

sample

A

subset of pop
representative of whole pop
minimise sampling error and variability

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3
Q

characteristics of ideal sample

A

representative
independence
adequacy
homogeneity

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4
Q

2 categories of sampling methods

A

probability sampling (random)
non probability sampling

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5
Q

probability sampling

A

simple random sampling
stratifed
systematic
multistage

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6
Q

non probability sampling

A

judgment or deliberate
convenience
snowball
quota

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7
Q

probability sampling advantages

A

requires detailed info to be effective
estimates which can be measured precisely and unbiased
can evaluate relative effectiveness

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8
Q

probability sampling disadvantages

A

high degree of skill
requires time to plan
costs are higher

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9
Q

simple random sample

A

random number generated

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10
Q

random sample +ve and -ve

A

+
simple
no bias
representative
easy to detect errors
-
lack of control

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11
Q

stratified

A

ratio of number of items to be selected from each strata should be the same as the total number of the units in the strata bearing the units of entire pop

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12
Q

types of stratified

A

proportionate
disproportionate
stratified weighted

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13
Q

stratified + and -

A

+
greater control
representative
can replace units
-
bias
hard to achieve proportion
hard to make representative
hard to place cases under level

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14
Q

stratified + and -

A

+
greater control
representative
can replace units
-
bias
hard to achieve proportion
hard to make representative
hard to place cases under level

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15
Q

systematic + and -

A

+
Simple to draw
variance are smaller
reduces variability
-
interval related to ordering may increase variability
estimates of error likely

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16
Q

multistage sample

A

random sampling in each sampling stages where there are more than 2

17
Q

multistage sample + and -

A

+
complete list of pop not needed
lower cost of travel f geographically defined
-
errors likely to be large in simple or systematic
errors increase as no. of selected sample units decrease

18
Q

non probability sampling methods

A

do not provide every item in pop with equal chance
partially subjective

19
Q

judgment sampling

A

choice of sample depends primarily on judgment of researcher

20
Q

judgment sampling + and -

A

+
enables inclusion of important units
obtains more representative when looking at unknown traits
practical
-
risk of including researchers needs
can objectively evaluate reliability

21
Q

convenience sample

A

when population not well defined
sampling unit not clear
complete list not available

22
Q

snowball sample

A

research contacts with small no. of ppl who establish new connections

23
Q

snowball sample problems

A

no accessible sample frame
unrepresentative

24
Q

quota sample

A
  1. classify pop into types that assumed to be relevant
  2. determine proportion of population falling into each type
  3. setting of quotas for each interviewer who has responsibility of selecting ppl so contains correct proportion
25
Q

quota sample + and -

A

+
low costs to prepare
some stratification effect
-
bias of investigator
errors cannot be estimated by stat procedures

26
Q

factors affecting reliability

A

size
representativeness
parallel sampling (another sample for testing)
homogeneity of samples (have all same features)
unbiased selection

27
Q

3 types of errors

A

sampling variability
sampling error
non sampling error

28
Q

sampling variability

A

different samples from the same pop don’t always produce same mean and sd

29
Q

sampling error

A

mean of sample won’t be same as mean of pop

30
Q

non sampling error

A

eg
questions asked badly
poor measurements
errors in recording