A nurse researcher is planning to study the effects of a new intervention. She wants her results to be applicable to a wide population. Which characteristic should guide her research design?

1. A

   Ensuring generalizability of the study findings

2. B

   Limiting the research to a single hospital

3. C

   Choosing an easily accessible sample

4. D

   Focusing only on a unique patient group

Appeared in: RRB Nsg. Superintendent-2026 (Shift -2nd)

Explanation

• The core goal stated in the question is to make research results 'applicable to a wide population.'.
• In research terminology, this concept is known as generalizability, or external validity.
• Generalizability is the extent to which findings from a sample can be reliably applied to the larger target population from which the sample was drawn.
• Therefore, ensuring generalizability must be a primary characteristic guiding the research design to meet the researcher's objective.

Why Other Options Were Wrong

• Option B: Limiting the study to a single hospital creates a sample that is likely not representative of the broader population of patients, as different hospitals have unique patient demographics and care environments. This action actively reduces generalizability.
• Option C: Choosing an easily accessible sample (convenience sampling) is a non-probability sampling method known for a high risk of bias. The sample may not share the same characteristics as the target population, which limits the applicability of the findings.
• Option D: Focusing on a unique patient group makes the findings highly specific to that group's characteristics. This is the opposite of the researcher's goal to apply results to a wide population.

Related Visual

• Visual 1: Flowchart - A flowchart showing how a large 'Target Population' is narrowed down to an 'Accessible Population,' from which a 'Sample' is drawn. Arrows can then point from the 'Sample' back to the 'Target Population' with the label 'Inference / Generalizability,' illustrating the goal of the process.
• Visual 2: Diagram - A diagram with two circles. One large circle labeled 'Target Population' and a smaller, representative circle inside it labeled 'Representative Sample.' A second diagram could show the same large circle with a small, non-overlapping circle labeled 'Biased Sample' to illustrate poor generalizability.

Clinical Relevance

• Nursing practice connection: Knowing Generalizability in Quantitative Research helps nurses interpret findings accurately and avoid errors in routine assessment, medication administration, and patient teaching.
• Generalizability is the foundation of evidence-based practice (EBP). Nurses must be able to trust that the findings from a research study can be safely and effectively applied to their own patient populations.
• When critiquing research for EBP, a nurse must assess the study's sampling method. If a study used a small, non-representative sample, its findings may not be relevant to the nurse's clinical setting.
• What if? If the researcher's intervention was highly experimental and potentially risky, she might initially choose to focus on a very specific, homogenous patient group in a controlled setting (similar to Option D) to maximize internal validity and safety, even though this would sacrifice generalizability in the early phases of research.

How to Approach the Question

• First, identify the key phrase in the question stem: 'applicable to a wide population.'
• Recognize that this phrase is the definition of a core research concept.
• Translate this layperson's phrase into its scientific term: 'generalizability' or 'external validity.'
• Scan the options to see if this concept is listed directly. Option A, 'Ensuring generalizability of the study findings,' is a direct match.
• Briefly evaluate the other options to confirm they are incorrect. Options B, C, and D all describe actions that would limit the study's scope and therefore reduce its applicability to a wider population.

Concept Tested & Keywords

• Concept Tested: Generalizability in Quantitative Research
• Stem keywords: nurse researcher, new intervention, applicable to a wide population, research design
• Lead-in keywords: Which characteristic

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