DSSSB 13 August 2024
Nursing Research & Statistics
Easy

What is another term for cluster sampling?

Appeared in: DSSSB 13 August 2024

Explanation

  • Cluster sampling is a probability sampling method where the population is divided into separate groups called clusters.
  • A random sample of these clusters is then selected from the population.
  • The process often involves sampling at various levels or stages, for example, selecting districts, then villages, then households.
  • Because this selection occurs in successive stages, it is also referred to as multistage sampling.

Why Other Options Were Wrong

  • Option A: Convenience sampling is a non-probability technique where the sample is chosen based on ease of access, not a random process involving clusters.
  • Option B: Quota sampling is a non-probability method where the researcher selects a sample that reflects the numerical composition of various subgroups in the population, but not through random cluster selection.
  • Option D: Snowball sampling is a non-probability technique used to find and recruit subjects from hidden or hard-to-reach populations through referrals.

Related Visual

Visual explanation — Related Visual
Clinical Relevance
  • Nursing practice connection: This is primarily an exam-oriented knowledge point with limited direct bedside application, so retain Sampling Methods in Research as background academic context rather than a clinical decision trigger.
  • Understanding sampling methods is crucial for nurses to critically appraise research evidence. The method used affects how much you can trust the results and apply them to your patients (generalizability).
  • Probability sampling methods like cluster/multistage sampling are stronger than non-probability methods because they reduce selection bias, leading to more reliable findings.
  • What if? If a study on a new diabetes management app used only convenience sampling from a single urban hospital, a nurse in a rural clinic should be cautious. The results might not apply to their patient population, who may have different access to technology and healthcare resources.
How to Approach the Question
  • First, identify the core concept in the question, which is 'cluster sampling'.
  • This is a factual recall question that asks for an alternative name or synonym.
  • Recall the definition of cluster sampling: dividing a population into groups (clusters) and then sampling those groups.
  • Consider how this process works in practice. It's often done in several steps or stages (e.g., states, then cities, then neighborhoods). This directly links it to the term 'multistage sampling'.
  • Evaluate the other options to confirm they are distinct concepts. Convenience, quota, and snowball sampling are all non-probability methods, which is a key difference from the probability-based cluster sampling.
Concept Tested & Keywords
  • Concept Tested: Sampling Methods in Research
  • Stem keywords: cluster sampling, another term
  • Lead-in keywords: What is

Question ID

QmfJQC0Rs2F1EUXAcg-rDK

Reference Book

E6 NursingResearch Suresh Sharma 5e Part 1 pp. 246-248, 245-247

E6 NursingResearch Sukhpal Kaur p. 260-262

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