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Question

Which one of the following is not a method of sampling ?

The correct answer is
Large sampling

Distinguish Sampling Methods in Research

Sampling methods are techniques used to select a representative subset of individuals or items from a larger population for study. Understanding these methods is crucial in research.

Recognized Sampling Techniques

Several established techniques exist for selecting samples. Let's examine the options provided:

  • Systematic sampling: This involves selecting elements from a population at regular intervals (e.g., every 10th person). It's a probability sampling method.
  • Quota sampling: This non-probability method involves selecting participants based on pre-set quotas for specific characteristics (e.g., age, gender) to match the population's proportions.
  • Snowball sampling: Primarily used for hard-to-reach populations, this non-probability method relies on initial participants referring others who meet the study criteria.

Identifying Non-Sampling Methods

The term "Large sampling" does not refer to a specific sampling methodology. It typically relates to the sample size, which is the number of participants or observations in a study. While sample size is important, "Large sampling" itself is not a defined sampling technique like the others listed.

Therefore, "Large sampling" is not a method of sampling.

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Important Questions from Methods of sampling - Teaching

  1. Which of the following holds true to probability sampling in any research design?
    A. Every item of the universe has equal chance of inclusion
    B. There is always the danger of bias
    C. Sample has same composition and characteristic as that of universe
    D. Sample selection is based on researcher's convenience
    E. Individual units can be selected by lottery method
    Choose the most appropriate answer from the options given below :
  2. The equiprobability of selection to every unit in a universe refers to _________
  3. In case study research the most common form of sampling is -
  4. Which of the following statements are true in the context of sampling ? 

    A. Purposive sampling is probability sampling 

    B. Snowball sampling is based upon sociometry 

    C. 'G' power is used to estimate sample size 

    D. Sampling error increases with sample size 

    E. Standard deviation of sampling distribution is sampling error 

    Choose the correct answer from the options given below :

  5. To conduct a study on Anganwadi workers, the researcher randomly selected five districts out of 30 districts of a state and collected data from each and every Anganwadi worker from these five districts. This is an example of _____
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