Which type of sampling is most at risk for sample bias?
Purposive.
Random.
Convenience.
Quota.
The Correct Answer is C
Choice A rationale
Purposive sampling involves intentionally selecting participants who have specific characteristics relevant to the study. While this introduces a deliberate type of bias by excluding certain individuals, it is a focused strategy used in qualitative research to gain deep insight. Because the researcher defines the criteria for inclusion based on the study goals, the "bias" is controlled and intentional rather than an accidental byproduct of a flawed or overly convenient recruitment process from the population.
Choice B rationale
Random sampling is the method least at risk for sample bias because every member of the population has an equal and independent chance of being selected. This technique helps ensure that the sample is representative of the larger population, which allows for the generalization of findings. By eliminating the researcher's influence over who is chosen, random sampling minimizes systematic errors and provides the strongest foundation for statistical inference in quantitative nursing research designs.
Choice C rationale
Convenience sampling is most at risk for bias because it involves selecting participants who are easily accessible to the researcher, such as patients in a single clinic or students in one classroom. This group may not represent the broader population, leading to skewed results. Because the sample is not chosen based on specific criteria or random chance, it often excludes key demographics, which severely limits the external validity and generalizability of the study findings.
Choice D rationale
Quota sampling is a non-probability technique where the researcher identifies specific strata of the population and selects a set number of participants from each. While it is more structured than convenience sampling, it still lacks randomization within the strata, which introduces some risk of bias. However, because it attempts to reflect the proportions of the population, it is generally considered less biased than simple convenience sampling, where no effort is made to balance the sample characteristics.
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Related Questions
Correct Answer is B
Explanation
Choice A rationale
Identifying the independent variable is a fundamental step in any experimental or quasi-experimental study, but it does not dictate the temporal dimension of the design. Independent variables represent the interventions or conditions being manipulated to observe an effect. Both cross-sectional and longitudinal designs can accommodate independent variables. Therefore, asking about the variable's presence does not clarify whether the researcher needs to collect data at one point or over an extended period of time.
Choice B rationale
The nature of the research problem dictates whether the study requires a snapshot of a population or an observation of change over time. If the problem involves understanding developmental trends, recovery processes, or the long-term effects of an intervention, a longitudinal design is mandatory. Conversely, if the problem concerns the prevalence of a condition or current attitudes at a specific moment, a cross-sectional approach is sufficient. The core problem determines the necessary timing of data.
Choice C rationale
The need for a measurement tool or instrument is a logistical requirement common to nearly all quantitative research. Whether the study uses a survey, a physiological sensor, or a standardized psychological scale, the choice of tool is independent of the timing of data collection. Researchers utilize instruments in both single-event cross-sectional studies and repeated-measure longitudinal studies. Consequently, this question does not help the researcher decide which specific quantitative temporal design is most appropriate.
Choice D rationale
Statistical analysis is a universal requirement for quantitative research and does not distinguish between design types. Both cross-sectional and longitudinal data are subjected to rigorous mathematical testing, such as t-tests, ANOVA, or regression analysis, to determine significance. Since the ability to apply statistics is a prerequisite for the entire quantitative paradigm, it does not provide guidance on whether a study should capture data once or track subjects over multiple points in time.
Correct Answer is A
Explanation
Choice A rationale
In qualitative research, the use of verbatim quotations is essential for capturing the authentic voice and experience of the participant. However, these direct quotes can inadvertently contain unique details, colloquialisms, or specific references that could identify the individual, even if names are changed. This poses a significant challenge to maintaining anonymity and privacy. Unlike quantitative data, which is aggregated into numbers, the narrative nature of qualitative findings makes it harder to completely detach the data from the individual.
Choice B rationale
While participants in qualitative studies might occasionally be related, this is not the primary reason why privacy is more difficult to protect compared to quantitative research. Quantitative studies can also involve related individuals, such as in genetic or family-based surveys. The core issue of privacy in qualitative work stems from the depth and richness of the data collected rather than the biological or social relationships between the subjects. Relational factors are secondary to the risks posed by narrative data.
Choice C rationale
This statement is incorrect because ethical standards require that participants in both qualitative and quantitative studies sign an informed consent statement. Informed consent is a mandatory process that outlines the risks, benefits, and measures taken to protect confidentiality. The difficulty in protecting privacy in qualitative research is not due to a lack of consent, but rather the inherent difficulty in anonymizing detailed personal stories and life experiences that are shared during the data collection process.
Choice D rationale
Meeting face to face does increase the researcher's knowledge of the participant's identity, but this is also common in many quantitative clinical trials or physical assessments. The face-to-face interaction itself is not the primary barrier to privacy in the final report. The real challenge lies in the dissemination phase, where the detailed descriptions of settings and specific personal narratives used in the final analysis can potentially allow others to recognize the participant, despite the researcher's best efforts.
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