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Identify the sampling techniques that are for studying hidden populations.A. Simple random samplingB. Snowball samplingC. Stratified random samplingD.
Question

Identify the sampling techniques that are for studying hidden populations.

A. Simple random sampling

B. Snowball sampling

C. Stratified random sampling

D. Key informant sampling

Choose the most appropriate answer from the options given below:

A.

A and B Only

B.

A and C Only

C.

B and D Only

D.

C and D Only

Correct option is C

To study hidden populations (populations that are difficult to access or identify through traditional sampling methods), specialized sampling techniques are required:

  • Snowball sampling (B) is a non-probability sampling technique where the researcher starts with a few participants who then refer the researcher to others in the same hidden population. This method is particularly useful for hard-to-reach groups.
  • Key informant sampling (D) involves selecting individuals who have extensive knowledge of the hidden population and can help identify other members of the group, facilitating access to this population.

Information Booster:

  1. Snowball sampling is useful when the population is difficult to find or identify through traditional methods, such as populations involved in illicit activities or those who are marginalized.
  2. Key informant sampling helps researchers gain insights into the hidden population by using knowledgeable individuals who can provide information and help identify other members of the group.
  3. Both snowball sampling and key informant sampling are often used in qualitative research to study groups that are not readily accessible through standard sampling methods.
  4. Snowball sampling is often seen in social sciences, criminology, and public health studies dealing with hidden or hard-to-reach groups.
  5. Key informant sampling is especially useful in ethnographic research or studies involving small, specialized, or marginalized groups.

Additional Knowledge:

  • Simple random sampling (A) and Stratified random sampling (C) are not ideal for hidden populations, as they rely on the assumption that the population is known and accessible, which is not true for hidden populations.

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