RUHS, Jaipur, M.Sc Nursing Entrance Exam-2021
Nursing Research & Statistics
Easy

When the research participants recruit other participants for a test or study, it is called?

Appeared in: RUHS, Jaipur, M.Sc Nursing Entrance Exam-2021

Explanation

  • Snowball sampling is a non-probability sampling method where existing study subjects recruit or refer other potential subjects from their network.
  • This technique is also known as chain-referral sampling, network sampling, or link-tracing sampling because the sample size grows through referrals, much like a snowball rolling downhill.
  • It is the most suitable method for studies involving populations that are difficult for a researcher to access directly, such as individuals with stigmatized conditions or those involved in illicit activities.

Why Other Options Were Wrong

  • Option A: Purposive sampling involves the researcher handpicking participants based on their specific knowledge, experience, or characteristics relevant to the study's purpose. It does not involve participants recruiting others.
  • Option B: Random sampling is a probability sampling method where every individual in the population has an equal chance of being selected. This is the opposite of snowball sampling, which is non-random and relies on referrals.
  • Option D: Convenience sampling involves selecting participants who are most easily accessible to the researcher. While simple, the selection is based on availability, not on referrals from other participants.

Related Visual

A flowchart illustrating the snowball sampling process. It should start with a few initial participants P1, P2, with arrows pointing to new participants they have recruited P...
Clinical Relevance
  • Nursing practice connection: This is primarily an exam-oriented knowledge point with limited direct bedside application, so retain Non-probability sampling methods in research as background academic context rather than a clinical decision trigger.
  • Nurse researchers often use snowball sampling to investigate sensitive topics or hidden populations where a formal list of participants does not exist. Examples include studying the healthcare experiences of undocumented immigrants, the coping strategies of families with a member suffering from a stigmatized mental illness, or adherence to treatment among commercial sex workers.
  • Understanding this method is crucial for nurses to critically appraise research studies. While valuable for exploratory research, its non-random nature means findings cannot be generalized to a broader population due to the high risk of sampling bias.
  • What if? If a researcher's goal was to determine the average job satisfaction of all registered nurses in India, snowball sampling would be inappropriate. A probability method, such as stratified random sampling (grouping by state or hospital type), would be required to obtain a representative sample and generalizable results.
How to Approach the Question
  • First, identify the key action described in the question stem: 'research participants recruit other participants'.
  • Recognize this mechanism as a form of referral or networking.
  • Next, evaluate each option based on its definition in research methodology.
  • Eliminate 'Random sampling' because it implies every member has an equal chance of selection, with no role for participant referral.
  • Eliminate 'Convenience sampling' as it is based on ease of access for the researcher, not referrals.
  • Eliminate 'Purposive sampling' because the researcher actively selects participants based on judgment, not referrals from other subjects.
Concept Tested & Keywords
  • Concept Tested: Non-probability sampling methods in research
  • Stem keywords: research participants, recruit other participants, test or study
  • Lead-in keywords: it is called

Question ID

QZ9Jz-CjkosZoECI_niZju

Reference Book

E6 NursingResearch Suresh Sharma 5e Part 1 pp. 246-248, 247-249

E6 NursingResearch Sukhpal Kaur p. 261-263

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