RRB Nsg. Superintendent 21 July 2019 (shift 1st)
Nursing Research & Statistics
Easy
Which is called as Non-probability sampling?
Appeared in: RRB Nsg. Superintendent 21 July 2019 (shift 1st)
Explanation
- Quota sampling is a non-probability sampling technique where the selection of participants is not random.
- The researcher establishes quotas for different subgroups based on specific traits (e.g., age, gender).
- Participants are then selected from each subgroup based on convenience or accessibility until the quota is met, meaning not everyone has an equal chance of being chosen.
Why Other Options Were Wrong
- Option A: Cluster sampling is a probability sampling method. It involves randomly selecting naturally occurring groups (clusters) and then sampling all individuals within the selected clusters.
- Option B: Systematic sampling is a probability sampling method. It involves selecting individuals at regular intervals (e.g., every 10th person) from a list, starting from a randomly chosen point.
- Option C: Stratified random sampling is a probability sampling method. It involves dividing the population into homogeneous subgroups (strata) and then drawing a random sample from each subgroup.
Related Visual
- Visual 1: Flowchart: Differentiating Probability (Random) vs. Non-Probability (Non-Random) sampling techniques, with examples of each type (Simple Random, Systematic, Stratified, Cluster vs. Convenience, Quota, Purposive, Snowball).
Clinical Relevance
- Nursing practice connection: This is primarily an exam-oriented knowledge point with limited direct bedside application, so retain Sampling Methods in Research: Probability vs. Non-Probability as background academic context rather than a clinical decision trigger.
- Nurses must understand different sampling methods to critically appraise research studies and determine the validity and generalizability of the findings.
- Evidence-based practice relies on high-quality research, and the sampling method is a key indicator of a study's quality and risk of bias.
- What if? If a study on a new wound care dressing used quota sampling from different age groups, a nurse must recognize that while age is controlled for, the non-random selection within those groups means the results might not apply to all patients, as other unmeasured factors could have influenced the selection.
How to Approach the Question
- First, identify the key term in the question: 'Non-probability sampling'.
- Recall the definition of non-probability sampling: a method where participants are not selected randomly, and not everyone has an equal chance of being included.
- Evaluate each option against this definition.
- Recognize that 'Cluster sampling', 'Systematic sampling', and 'Stratified random sampling' all involve a form of random selection, which makes them probability methods.
- Identify 'Quota sampling' as the method where selection within subgroups is non-random (based on convenience), fitting the definition of non-probability sampling.
Concept Tested & Keywords
- Concept Tested: Sampling Methods in Research: Probability vs. Non-Probability
- Stem keywords: Non-probability sampling
- Lead-in keywords: Which is called as
- Negative lead-in flag: false
Question ID
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Practise the full RRB Nsg. Superintendent 21 July 2019 (shift 1st)
Attempt every question from this paper in a timed mock, then review the full solution for each one.
More Population, Sample & Sampling Questions
- Which among the following is a type of Non-probability sampling?
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- Systematic sampling is related to which field of study?
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