Which of the following sampling methods would bias the set of responses? Select all that…

Which of the following sampling methods would bias the set of responses? Select all that apply.

I can’t pick which ones apply without the list of answer choices — please paste the sampling-method options.

Meanwhile, here are the common sampling methods that do introduce bias (so if any of these are in your options, they should be selected):

  • Voluntary response (self-selection) — people who choose to respond tend to have stronger opinions than the general population.
  • Convenience sampling — surveying whoever is easiest to reach (e.g., people in a mall) over- or under-represents groups.
  • Undercoverage — the sampling frame excludes some subgroups (e.g., only landlines, excluding cell‑only households).
  • Nonresponse bias — if many selected people do not respond and nonresponders differ systematically from responders.
  • Quota or purposive (judgmental) sampling — selecting to meet quotas or by researcher judgment can introduce bias if selection within groups is nonrandom.
  • Snowball sampling — useful for hidden populations but tends to cluster around social networks and is not representative.
  • Systematic sampling can be biased if there is a periodic pattern in the population that matches the sampling interval.

And sampling methods that are generally unbiased when done correctly (so these typically would not be selected) include simple random sampling, stratified random sampling (with random selection within strata), and properly executed cluster or multistage random sampling.

If you paste the exact choices, I’ll mark which ones to select and explain each.

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