Sampling and Non-response (W3Y2) Flashcards

1
Q

How does non-response lead to sampling bias?

A

If only a small fraction of the randomly sampled people choose to respond to a survey, the sample may no longer be representative of the population.

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2
Q

List 2 issues with taking censuses.

A
  • Difficult to complete a census as there always seem to be some individuals who are hard to locate or hard to measure.
  • Populations rarely stand still as its constantly changing, so it is impossible to get a perfect measure.
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3
Q

What is generalisation?

A

Distinction between the population of interest and the actual population defined by the sampling frame

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4
Q

List the 3 methods of probability sampling.

A
  • Simple
  • Stratified
  • Cluster
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5
Q

List the 3 methods of non-probability sampling.

A
  • Quota
  • Convenience
  • Purposive
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6
Q

How does stratified cluster sampling work?

A
  • First you define the clusters
  • .Then you group the clusters into strata of clusters, putting similar clusters together in a stratum
  • Then you randomly pick one (or more) cluster from each of the strata of clusters
  • Then you sample the subjects within the sampled clusters (either all the subjects, or a simple random sample of them)
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7
Q

List 3 advantages of stratified cluster sampling.

A
  • Reduce the error in cluster sampling by creating strata of clusters
  • Sample one cluster from each stratum
  • The cost-savings of clustering with the error reduction of stratification
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8
Q

How is measurement a source of error in sample survey research?

A

Bad question or instrument design leads to poor measurement validity

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9
Q

How is non-response a source of error in sample survey research?

A

Considering what if not every person answers every question or what if some people decline to take the survey as it leads to inadequate coverage of the population

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10
Q

What is item non-response?

A

An individual skips a certain question on a survey or refuses to answer it.

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11
Q

What is survey non-response?

A

An individual refuses to participate altogether.

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12
Q

How do we avoid non response before it occurs?

A
  • Persistence at contact maybe through introductions and endorsements
  • Incentives
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13
Q

How do we deal with survey non-response?

A

Re-weighting as some parts of population are under-represented in respondent data so we weight these parts up to compensate for under- representation

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14
Q

What is the equation for sampling weight?

A

Sampling weight = 1/response rate

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15
Q

What are the limits of re-weighting?

A

This only works if we can measure all the factors affecting likelihood of response.

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16
Q
A