In following which is not under the non-probability sampling technique?

RUHS, Jaipur, M.Sc Nursing Entrance Exam-2019

Nursing Research & Statistics

Easy

Appeared in: RUHS, Jaipur, M.Sc Nursing Entrance Exam-2019

Explanation

Cluster sampling is a probability sampling method.
In this technique, the population is divided into separate groups called clusters (e.g., geographical areas, hospitals).
A random sample of these clusters is then selected, and all individuals within the chosen clusters are included in the study.
Because the initial selection of clusters is random, every individual in the population has a chance of being selected, which is the hallmark of probability sampling.

Option A: Convenience sampling is a non-probability technique where subjects are selected based on their easy accessibility and proximity to the researcher.
Option B: Consecutive sampling is a non-probability technique where the researcher includes all accessible subjects who meet the inclusion criteria over a specific period.
Option D: Quota sampling is a non-probability technique where the researcher selects a sample that reflects the population's proportions in terms of certain characteristics (e.g., age, gender), but the selection from within the quotas is non-random.

Clinical Relevance

Nursing practice connection: This is primarily an exam-oriented knowledge point with limited direct bedside application, so retain Classification of research sampling techniques (Probability vs. Non-Probability) as background academic context rather than a clinical decision trigger.
Understanding sampling methods is crucial for nurses to critically appraise research studies. It helps determine the generalizability and validity of research findings before applying them to clinical practice (Evidence-Based Practice).
Nurses involved in quality improvement projects or hospital-based research often use these techniques to gather data on patient outcomes, satisfaction, or nursing interventions.
What if? If a nurse researcher wanted to study the experiences of a rare patient group across India, cluster sampling would be highly efficient. They could randomly select a few states (clusters) and then survey all relevant patients within those states, rather than trying to reach every patient across the country.

How to Approach the Question

First, identify the keyword 'not' in the question. This indicates you are looking for the option that does not fit the category of 'non-probability sampling'.
Recall the two primary classifications of sampling: probability and non-probability.
Define the key difference: Probability sampling involves random selection, giving everyone a chance to be included. Non-probability sampling does not.
Evaluate each option against this definition.
Convenience, Consecutive, and Quota sampling all involve non-random selection based on accessibility or specific criteria.
Cluster sampling involves random selection of groups (clusters), making it a probability method. Therefore, it is the correct answer as it is 'not' a non-probability technique.

Concept Tested & Keywords

Concept Tested: Classification of research sampling techniques (Probability vs. Non-Probability)
Stem keywords: non-probability sampling, sampling technique
Lead-in keywords: not
Negative lead-in flag: The question asks to identify the option that is NOT a non-probability sampling technique.

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E6 NursingResearch Suresh Sharma 5e Part 1 pp. 245-247, 234-236

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