The nurse is critiquing a qualitative research study.

Which query would be appropriate for the nurse to ask when critiquing the study's sample selection?

Choice B rationale

Quantitative research focuses on the collection and analysis of numerical data to identify patterns, averages, or correlations. Counting the number of patients who experienced adverse reactions provides objective, measurable data that can be statistically analyzed. This approach seeks to find empirical evidence and quantify a specific phenomenon, which is the hallmark of quantitative inquiry. By using discrete numbers and objective outcomes, the researcher can determine the frequency and prevalence of reactions within a specific clinical population.

Choice A rationale

Asking community members if they thought a training session was helpful is an informal way of gathering feedback that is primarily subjective. This approach lacks the rigorous control, standardized measurement tools, and numerical analysis required for quantitative research. It is more akin to a simple evaluation or a qualitative inquiry into participant perceptions. Quantitative research requires a systematic process where variables are operationalized and measured using scales or counts to provide a high level of statistical evidence.

Choice C rationale

Interviewing patients about their feelings regarding health insurance policies is a classic qualitative approach. It aims to explore human experiences, perceptions, and emotions in depth. Qualitative research uses open-ended questions to gather rich, narrative data rather than trying to reduce experiences to numbers. While the group is random, the goal of understanding feelings and perspectives is fundamentally non-quantitative because it does not prioritize numerical measurement or the testing of a specific hypothesis using statistical tools.

Choice D rationale

Observing a community and writing a report based on a personal perspective is an ethnographic or descriptive qualitative method. This type of research relies on the researcher as the primary instrument for data collection and interpretation. It is subjective and focused on providing a detailed narrative of a culture or social setting. Quantitative research, by contrast, strives for objectivity and uses standardized instruments to ensure that findings can be replicated and generalized without being influenced by personal bias.

Choice A rationale

Statistical significance is a measure of the probability that the observed results occurred by chance, usually expressed as a p-value where p < 0.05 is the standard threshold. Using a homogeneous sample actually often makes it easier to achieve statistical significance because it reduces the variance within the data. By having participants who are very similar, the noise in the data is minimized, allowing the effects of the independent variable to be more clearly observed.

Choice B rationale

A homogeneous sample reduces the risk that findings are due to chance because it controls for extraneous variables that might otherwise confound the results. When the sample is uniform, the researcher can be more confident that the observed outcome is a result of the intervention rather than individual differences among participants. Increasing the similarity of the subjects strengthens internal validity, which actually decreases the likelihood that random error influenced the final statistical conclusions.

Choice C rationale

Generalizability, or external validity, refers to the extent to which the results of a study can be applied to other populations or settings. A homogeneous sample is very narrow, meaning the findings may only apply to individuals with those specific characteristics. This limits the utility of the research because it cannot be assumed that the same results would occur in a more diverse, real-world population. Broad application is hindered when the study group is not representative.

Choice D rationale

Reliability refers to the consistency and stability of a measurement over time. Using a homogeneous sample does not inherently decrease the reliability of the research instruments or the data collection process. In fact, testing a consistent group may lead to very stable and reproducible results within that specific context. Reliability is more closely related to the quality of the tools and the rigor of the procedures than to the diversity or uniformity of the participant pool.