Chapter 5: Sampling Flashcards

1
Q

The process of selecting observations that will be analyzed for research purposes

A

Sampling

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2
Q

Why would one use heterogenous participants in a study?

A

To ensure that the sample reflects the variability in the population

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3
Q

Probabilistic sampling techniques are random/nonrandom

A

random

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4
Q

Random/nonrandom sampling allows for generalization from the sample to the population

A

Random

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5
Q

Sampling error

A

Degree to which your sample deviates from the population’s characteristics

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6
Q

Two types of sampling errors:

A

Random error + systematic error

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7
Q

Random error is caused by _____

A

chance

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8
Q

Systematic error is caused by ____

A

bias

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9
Q

Types of random samples:

A

Simple
Systematic
Stratified
Cluster

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10
Q

Types of nonrandom samples:

A

Purposive
Snowball
Quota
Convenience

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11
Q

Tell me about Convenience sampling

A

Gather data from available people who fit criteria for your study
Nonrandom
Good for exploratory research

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12
Q

Tell me about Quota sampling

A

Use preset categories that are characteristics of the population, such as gender, race, age, etc.
Researcher decides how many people they want from each subgroup

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13
Q

Tell me about Purposive sampling

A

Use multiple methods of gathering a sample of people to gain diversity
Use judgement in selecting cases and have a specific purpose in mind
Begin with specific perspectives and then seek out participants who cover them

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14
Q

Tell me about snowball sampling

A

Participants help find other participants
Relies on a network
Good when population is rare or there is a stigma

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15
Q

Tell me about systematic sampling

A

Uses a sampling frame
Every kth person makes it in the sample
Periodicity is a problem

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16
Q

Periodicity

A

Tendency for a pattern to occur at regular intervals, such as days of the week

17
Q

Sampling fraction

A

n/N

18
Q

Tell me about cluster sampling

A

Create heterogenous clusters
Sample comes from a few clusters

19
Q

Tell me about stratified sampling

A

Random
Create groups based on characteristics (such as race)
Pick # from each group based on % in population