Among the following types of sampling techniques, which one is also known as 'Judgemental' sampling?

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UGC NET Official Paper 1: Held On 16 June 2023 Shift 1
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  1. Quota sampling
  2. Convenience Sampling
  3. Cluster Sampling
  4. Purposive Sampling

Answer (Detailed Solution Below)

Option 4 : Purposive Sampling
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UGC NET Paper 1: Held on 21st August 2024 Shift 1
50 Qs. 100 Marks 60 Mins

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The correct answer is Purposive Sampling
Important Points

Purposive or judgmental sampling is a type of non-probability sampling method.

  • In this technique, the researcher uses their judgment to select a sample that they believe is representative of the population they're studying.
  • The researcher might choose participants based on their own knowledge of the population, its elements, and the purpose of the study.
  • While this can be a convenient way to select a sample, it's important to note that purposive sampling can introduce significant bias, as it relies heavily on the judgment of the researcher.
  • It is therefore often seen as less rigorous than probability sampling methods, where each member of the population has an equal chance of being selected.

Additional InformationQuota Sampling:

  • This is a non-probability sampling technique wherein the assembled sample has the same proportions of individuals as the entire population in terms of known characteristics, traits, or focused phenomenon.
  • For example, if you know the population has 40% males and 60% females, you will aim for your sample to reflect these same proportions.

Convenience Sampling:

  • As the name suggests, this sampling method relies on data collection from population members who are conveniently available to participate in study.
  • This sampling method is not considered very reliable because the sampled group may not be representative of the population, it's based purely on ease of access.

Cluster Sampling:

  • This is a probability sampling technique where the entire population is divided into groups, or clusters, and a random sample of these clusters are selected.
  • All observations in the selected clusters are included in the sample.
  • Cluster sampling is typically used when the researcher cannot get a complete list of the members of a population, but can get a complete list of groups or 'clusters' of the population.

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