A sampling analysis that involves a random start and then proceeds with every k's element from then onwards is called?

Appeared in: NVS Staff Nurse - 2019

Explanation

The question describes a sampling method that begins with a random start and then selects every 'k-th' element.
This procedure is the exact definition of systematic random sampling.
In this method, the sampling interval 'k' is calculated by dividing the total population size (N) by the desired sample size (n).
For example, to select 20 nurses from a list of 200, the interval k would be 10 (200/20). A random starting number between 1 and 10 is chosen, and then every 10th nurse from the list is selected.

Option A: Snowball sampling does not use a fixed interval (k). It is a non-probability technique that relies on referrals from initial subjects to generate additional subjects.
Option C: Stratified random sampling involves dividing the population into distinct subgroups (strata) based on shared characteristics (e.g., age, gender) and then performing random sampling within each subgroup. It does not use a single 'k-th' element selection process for the entire population.
Option D: Simple random sampling gives every member of the population an equal and independent chance of being selected. It does not involve a systematic interval; selection is completely random, like drawing names from a hat.

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.
Nurses often participate in or conduct research to improve patient care. Understanding different sampling methods is crucial for evaluating the quality and generalizability of research findings.
For instance, a nurse researcher might use systematic sampling to select patient charts for an audit on the quality of documentation or to survey patients about their satisfaction with care.
Choosing the right sampling method ensures that the study results are valid and can be applied to the broader patient population, leading to evidence-based practice changes.

How to Approach the Question

First, identify the key descriptive phrases in the question stem. The critical elements here are 'random start' and 'every k's element'.
Next, analyze the definition of each option provided.
Compare the key phrases from the stem with the definitions of the sampling methods.
Snowball sampling uses referrals. Simple random sampling gives everyone an equal chance without a system. Stratified sampling divides the population into groups first.
Recognize that the combination of a 'random start' and a fixed 'k-th' interval is the unique characteristic of systematic random sampling.
Therefore, select the option that matches this specific procedure.

Concept Tested & Keywords

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

E6 NursingResearch Sukhpal Kaur p. 254-256

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