A hospital researcher wants to compare pain management strategies across different departments and ensures equal representation from surgery, pediatrics, and oncology. Which sampling technique should be employed?

1. A

   Simple random sampling

2. B

   Stratified sampling

3. C

   Convenience sampling

4. D

   Snowball sampling

Appeared in: RRB Nsg. Superintendent-2026 (Shift -1st)

Explanation

• Stratified sampling is a probability sampling method where a population is divided into distinct subgroups or 'strata'.
• In this case, the hospital departments (surgery, pediatrics, oncology) are the predefined strata.
• By sampling from each department, the researcher guarantees that none of these crucial subgroups are accidentally excluded or underrepresented.
• This method is specifically chosen to enable valid comparisons and analysis of differences between the defined groups (strata).

Why Other Options Were Wrong

• Option A: Simple random sampling treats the entire hospital population as a single group. It does not guarantee that individuals from all three specified departments will be selected, potentially leading to a sample that is not representative of the departmental differences the researcher wants to study.
• Option C: Convenience sampling involves selecting participants who are most easily accessible. This is a non-probability method that often leads to a biased sample and would not ensure equal representation from the different departments.
• Option D: Snowball sampling is used when participants are difficult to locate. It relies on referrals from initial subjects to find more participants. This is not suitable for this scenario, as the members of the hospital departments are a well-defined and accessible population.

Related Visual

• Visual 1: Flowchart - A flowchart illustrating the process of stratified sampling. It would show the total hospital population being divided into three boxes labeled 'Surgery,' 'Pediatrics,' and 'Oncology.' Arrows would then point from each box to a smaller circle, representing the random sample drawn from that stratum, which all combine into a final study sample.

Clinical Relevance

• Nursing practice connection: Knowing Application of sampling techniques in nursing research helps nurses interpret findings accurately and avoid errors in routine assessment, medication administration, and patient teaching.
• Understanding research methodologies like sampling is essential for nurses to critically evaluate evidence-based practice guidelines and research articles.
• When nurses participate in or lead quality improvement projects, choosing the correct sampling method is crucial for obtaining valid and reliable results that can genuinely improve patient care.
• What if? If the researcher's goal was instead to understand the overall job satisfaction of all hospital employees, simple random sampling would be a more appropriate and efficient method, as comparing specific departmental subgroups would not be the primary objective.

How to Approach the Question

• First, identify the primary goal of the research described in the question. The key phrases are 'compare... across different departments' and 'ensures equal representation'.
• Recognize that the need to guarantee representation from specific, predefined subgroups is the central challenge.
• Review the definitions of the four sampling methods provided as options.
• Match the research goal to the definition. Stratified sampling is the only method that explicitly involves dividing a population into subgroups (strata) to ensure representation.
• Eliminate simple random sampling because it offers no guarantee of including all subgroups.
• Eliminate convenience and snowball sampling as they are non-probability methods unsuited for ensuring representative comparison between known groups.

Concept Tested & Keywords

• Concept Tested: Application of sampling techniques in nursing research.
• Stem keywords: compare pain management, different departments, equal representation, surgery, pediatrics, oncology
• Lead-in keywords: Which sampling technique
• Clinical cues: The phrase 'ensures equal representation' from specific, named departments is the key indicator that the population must be divided into subgroups before sampling.

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