Cluster sampling is otherwise known as

RUHS, Jaipur, M.Sc Nursing Entrance Exam-2022

Nursing Research & Statistics

Easy

Appeared in: RUHS, Jaipur, M.Sc Nursing Entrance Exam-2022

Explanation

Cluster sampling is a probability sampling method where the total population is divided into groups (clusters), typically based on geographical location.
The sampling process is often carried out in several phases, which is why it is also referred to as multistage sampling.
In this method, a random sample of clusters is selected first. Then, from the selected clusters, a random sample of individual elements is chosen.
This approach is practical and cost-effective for large, geographically dispersed populations where creating a complete list of every individual is impossible.

Option A: Quota sampling is a non-probability method where the sample is created based on specific, pre-set quotas of characteristics (like age or gender). It does not involve random selection of clusters.
Option B: Network sampling, also called snowball sampling, is a non-probability technique where participants refer other potential participants. It's used for hard-to-reach populations, not for sampling large, general populations in stages.
Option D: Systematic sampling is a probability method that involves selecting every nth individual from a complete list of the population after a random start. It does not involve grouping the population into clusters.

Clinical Relevance

Nursing practice connection: This is primarily an exam-oriented knowledge point with limited direct bedside application, so retain Types of sampling methods in research as background academic context rather than a clinical decision trigger.
Understanding different sampling methods is crucial for nurse researchers and for any nurse appraising research articles for evidence-based practice. The validity of a study's findings heavily depends on how the sample was selected.
For instance, a nurse manager conducting a quality improvement study on patient satisfaction across a large hospital network might use cluster sampling by randomly selecting a few wards (clusters) to survey, rather than trying to survey every patient in the entire network.
What if a researcher wanted to study the coping mechanisms of family caregivers for patients with a very rare cancer? In that case, Network (Snowball) sampling would be more appropriate than cluster sampling, as it's designed to find and recruit participants from hard-to-locate populations through referrals.

How to Approach the Question

First, identify the key term in the question: 'Cluster sampling'.
Recall the definition of cluster sampling. It involves dividing a population into groups (clusters), usually geographically.
Think about how this process is practically implemented for a large population. It's often done in steps or stages (e.g., select states, then cities, then people).
This multi-step nature directly links it to the term 'multistage sampling'.
Review the other options to confirm they represent different sampling techniques. Quota, network, and systematic sampling have distinct definitions and are not synonyms for cluster sampling.

Concept Tested & Keywords

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E6 NursingResearch Suresh Sharma 5e Part 1 pp. 239-241, 246-248