What type of sampling will be applicable when the population consists of units rather than individuals?

RRB Nsg Superintendent -29 April 2025 (Shift-1st)

Nursing Research & Statistics

Medium

Appeared in: RRB Nsg Superintendent -29 April 2025 (Shift-1st)

Explanation

Multistage sampling is a complex form of cluster sampling where the population is divided into groups or 'units'.
Sampling is conducted in successive stages, starting with larger units and moving to smaller ones.
This method is specifically designed for situations where the population consists of hierarchical units rather than a single list of individuals.
It is particularly useful for large, geographically dispersed populations where creating a complete list of every individual is not feasible.

Option A: Quota sampling is a non-probability method that selects individuals based on pre-defined characteristics (quotas) to mirror the population's proportions. The sampling unit is the individual, not a group or cluster.
Option B: Simple random sampling requires a complete and accessible list of all individuals in the population (a sampling frame). The question specifies a population composed of units, implying such a list of individuals is not available or practical to create.
Option C: Convenient sampling is a non-probability method where researchers select participants based on their easy availability and proximity. It does not involve a structured process of sampling units.

Visual 1: Flowchart - Illustrating the steps of multistage sampling. For example: Stage 1 (Select States) -> Stage 2 (Select Cities within those States) -> Stage 3 (Select Hospitals within those Cities) -> Stage 4 (Select Nurses within those Hospitals). This visual clarifies the hierarchical nature of the process.

Clinical Relevance

Nursing practice connection: This is primarily an exam-oriented knowledge point with limited direct bedside application, so retain Sampling methods in research methodology as background academic context rather than a clinical decision trigger.
Understanding sampling methods is crucial for nurses to critically appraise research evidence. Knowing if a study used a robust method like multistage sampling versus a weaker one like convenience sampling helps determine the generalizability and reliability of the findings.
Nurse researchers in community health often use multistage sampling to conduct health surveys across large regions, ensuring a representative sample without needing to contact every resident.
A hospital administrator might use a two-stage sampling process (sampling units/wards, then sampling staff) to assess job satisfaction or burnout across a large medical center.

How to Approach the Question

First, identify the key phrase in the question: 'population consists of units rather than individuals'.
This phrase is a direct clue that the sampling method involves groups or clusters, not just a flat list of people.
Next, evaluate each option based on this clue.
Recall the definition of each sampling type: Simple random and quota sampling focus on selecting individuals. Convenient sampling also selects individuals based on ease of access.
Recognize that 'multistage sampling' is a method specifically designed to handle populations that are structured in hierarchical units or clusters.
Conclude that multistage sampling is the only method that fits the description of sampling 'units'.

Concept Tested & Keywords

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