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Question

Which of these statements does NOT describe snowball sampling correctly?

A. It is a non-probability sampling technique.
B. It is used when the target population is readily available.
C. Initial participants refer others to take part in the study.
D. It ensures equal chance of selection for all individuals.
E. It is commonly used in sociological and qualitative research.

Choose the correct answer from the options given below:

The correct answer is
B and D Only

Snowball Sampling: Identifying Incorrect Statements

Snowball sampling is a specialized technique used in research, particularly when studying populations that are difficult to locate or access. It relies on the existing study participants to help recruit future participants from among their acquaintances. This method is valuable but has specific characteristics that distinguish it from other sampling techniques. Let's analyze each statement to determine which ones do NOT accurately describe snowball sampling.

Statement Analysis for Snowball Sampling

  • Statement A: It is a non-probability sampling technique.

    This statement is correct. Snowball sampling falls under non-probability sampling methods because participants are not selected randomly. Instead, selection depends on referrals from existing participants, meaning not everyone in the target population has an equal chance of being included.

  • Statement B: It is used when the target population is readily available.

    This statement is incorrect. Snowball sampling is specifically employed when the target population is not readily available or easily identifiable. It's most effective for hidden or marginalized populations, such as drug users, undocumented immigrants, or members of specific social groups, where traditional sampling methods would be ineffective.

  • Statement C: Initial participants refer others to take part in the study.

    This statement is correct. This is the defining characteristic of snowball sampling. The researcher starts with a small group of individuals who meet the study criteria and then asks them to refer other potential participants they know who also fit the criteria.

  • Statement D: It ensures equal chance of selection for all individuals.

    This statement is incorrect. As a non-probability technique, snowball sampling does not provide an equal chance of selection for every member of the target population. The selection process is biased towards individuals who are known within the network of the initial participants, rather than being random.

  • Statement E: It is commonly used in sociological and qualitative research.

    This statement is correct. Snowball sampling is frequently used in qualitative research, especially in fields like sociology, anthropology, and public health, where researchers need to access specific, often hard-to-reach, populations to gain in-depth understanding.

Conclusion on Incorrect Statements

Based on the analysis, the statements that do NOT correctly describe snowball sampling are B (used when the target population is readily available) and D (ensures equal chance of selection for all individuals). Statement B is incorrect because snowball sampling is used for hard-to-reach populations, and Statement D is incorrect because it's a non-probability method lacking random selection.

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Important Questions from Sample - Teaching

  1. Assertion (A): The larger the sample size, the greater will be the power of the test.
    Reason (R) : A large sample size results in smaller standard error of mean.
    Codes :
  2. Given below are two statements, one labelled as Assertion (A) and the other labelled as Reason (R). Read the statements and choose the correct answer using the code given below.

    Assertion (A) : Findings of a research based on a large sample size of a population being studied can always be generalized to the whole population.

    Reason (R) : Sample size does not ensure representativeness.
  3. In a Random Sampling distribution of means :
    I. The standard error will decrease as the sample size increases.
    II. The standard error will increase as the sample size increases.
    III. The mean equals the population mean.
    IV. The mean is not equal to the population mean.
  4. In a study, participants are recruited from local schools in urban area. The study is conducted on saturday so only the saturday working school take part. What type of sample is this ?

  5. Multistage cluster sampling is helpful when :

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