Sampling Flashcards

1
Q

what is sampling

A

method of choosing participants for a study

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2
Q

target population

accessible population

representative sample

A

TP: people with the characteristics you are looking for

AP: the portion of the TP that the sample is selected from

RS: sample that accurately reflects the AP

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3
Q

sampling bias

A

sample that over/underepresents any # of attributes of the AP

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4
Q

sampling criteria: inclusion criteria

A

characteristics that the prospective subjects must have to be included in the research study

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5
Q

sampling criteria: exclusion criteria

A

characteristics that disqualify prospective subjects from participating in the research study

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6
Q

sampling methods: probability

A
  • equal chance of being selected
  • requires identifying the AP first, and then random sampling
  • theoretically eliminates bias
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7
Q

sampling methods: non probability

A

not always possible to choose sample at random

-can’t assume sample represents the population =sampling bias

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8
Q

types of probability sampling methods: simple random sampling

A

identify AP and select participants based on random number

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9
Q

types of probability sampling methods: systematic sampling

A

choose a sample interval, such as every 5th person on a list, with the starting position chosen at random

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10
Q

types of probability sampling methods: stratified random sampling

A

identify subgroups based on relevant population characteristics and randomly sample from the subgroups
-need to ensure that the proportions of each subgroups represented in the sample reflects the proportions of the overall population

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11
Q

types of non-probability sampling methods: convenience sampling

A

based on ease of accessibility

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12
Q

types of non-probability sampling methods: snowballing sampling

A

participants identify other potential participants

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13
Q

types of non-probability sampling methods: purposive sampling

A

handpick participants based on criteria

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14
Q

types of non-probability sampling methods: quota sampling

A
  • relevant characteristics used to group the sample
  • try to create a sample that is representative of the whole populations; not necessarily representative b/c only certain attributes are taken into account
  • good for examining a specific subgroup
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