sampling Flashcards

1
Q

what is a random sample

A

where each strand of the population has an equal chance of being selected

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2
Q

what is a simple random sample

A

a random sample without replacement

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3
Q

what are three advantages of simple random smapleing

A
  • free from bias
  • each to implement
  • each sample strand has an equal chance of selection
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4
Q

what are three disadvantages of simple random sampling

A
  • not suitable with a large population size
    -a sampling frame is needed
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5
Q

what is a sampling frame

A

a collection of all the sampling units, this could be a list of the whole population labelled with unique identities e.g. names. often is impractical

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6
Q

sampling unit - define

A

an indivdual member of the population that can be sampled

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7
Q

what is systematic sampling

A

gathering your sample in a systematic way - for example every 5th person from a ist of names

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8
Q

how to gather n in a systematic sample

A

decide how large you want your sample size to be. dividre that number by the population size. every nth number is the subject who is to be in the sample size group.

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9
Q

what are some advantages of systematic sampling

A
  • simple and quick to use
  • suitable for large populations and samples
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10
Q

what are some disadvantages of systematic samples

A

a sampling frame is needed
– can lead to bias if the sampling frame is not random

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11
Q

what is a stratifeid sampling

A

where a strata is taken that is rerpresentIVE OF THE POPULATION

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12
Q

what are some advantages of stratified sampling

A

sample accurately reflects the population structure
- guarantees proportional representation

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13
Q

what are some disadvantages of stratified sampling

A

population must clearly be classified into distinct strata ( this can be time consuming)
- sampling frame is needed

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14
Q

what is opportunity sampling

A

uses strands of the population that area available there and then

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15
Q

what are advantages of opportunity sampling

A
  • cheap - easy
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16
Q

what are disadvanatges of opportunity sampling

A
  • highly unlikely yo be representative of the population
  • highly dependdent on the individual researcher
17
Q

what is quota sampling

A

involves splitting the population into groups and sampling a given number of people from each group

18
Q

what is an advantage of quota sanpling

A
  • allows a sample sample to still be represntative of the population
  • no sampling frame is required
  • usually cheap and easy to carry out
19
Q

what are soem disadvantages of quota sampling

A
  • non-random sampling can introduce bias
  • population must be divided into to groups which can sometimes be inaccurate