Why would a nurse researcher choose to use research studies that examine the associations or relationships between variables?
There is application in clinical settings and a foundation for future experimental studies.
Greater manipulation of the variables is possible in this type of study.
A causal relationship can be determined between the variables.
Randomization of participants allows for increased generalizability.
The Correct Answer is A
Choice A rationale
Correlational research focuses on identifying connections between specific variables without manipulating them. This approach is highly valuable in clinical nursing because it allows researchers to identify potential risk factors or benefits associated with certain patient behaviors or interventions. By establishing these associations, researchers create a necessary empirical foundation. This evidence acts as a precursor for developing rigorous experimental designs that eventually test interventions in controlled environments to improve patient outcomes.
Choice B rationale
Manipulation of variables is a primary characteristic of experimental research designs, not correlational studies. In non-experimental correlational designs, the researcher observes variables as they naturally occur in the environment or population. Because there is no active intervention or independent variable manipulation, this choice is incorrect. Correlational studies lack the control necessary to change one variable to see the effect on another, as their primary goal is purely descriptive or associative.
Choice C rationale
A fundamental principle of statistics and research design is that correlation does not imply causation. Correlational studies can show that two variables change together, but they cannot prove that one variable causes the change in the other. Determining causal relationships requires an experimental design with strict control, randomization, and manipulation. Since correlational studies lack these specific design elements, they cannot be used to definitively state that a cause-and-effect relationship exists between variables.
Choice D rationale
While randomization is used in experimental and quasi-experimental designs to reduce bias and enhance generalizability, it is not a defining or required feature of correlational research. Many correlational studies use convenience sampling or existing data sets where randomization is absent. Generalizability in correlational work often depends more on the representativeness of the sample rather than the random assignment to groups. Therefore, attributing increased generalizability specifically to randomization within correlational designs is scientifically inaccurate.
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Related Questions
Correct Answer is A
Explanation
Choice A rationale
Quasi-experimental designs are often chosen when true experimental control is impossible or unethical in clinical environments. These designs allow researchers to study interventions in real-world settings where random assignment might not be feasible. By conducting research in naturalistic environments, findings may have higher ecological validity compared to strictly controlled laboratory settings. This flexibility is essential for nursing research conducted in busy hospital units where maintaining a strictly controlled experimental group is often practically difficult.
Choice B rationale
Sample size requirements are generally determined by power analysis rather than the specific choice between experimental or quasi-experimental designs. While quasi-experiments are useful when participant numbers are limited, they actually often require larger samples to compensate for the lack of randomization and potential confounding variables. Therefore, the preference for a quasi-experimental design is rarely based on the sufficiency of a smaller sample size, as statistical significance still depends on the effect size.
Choice C rationale
Descriptive statistics are used across all types of research designs to summarize demographic data and basic characteristics of the sample. They are not a primary reason to select a quasi-experimental design over a true experiment. Both designs rely heavily on inferential statistics to test for differences between groups or changes over time. Choosing a design based solely on the use of descriptive statistics would overlook the primary goal of quasi-experiments, which is evaluating interventions.
Choice D rationale
True experimental designs remain the gold standard for establishing cause-and-effect relationships because they involve randomization, control groups, and manipulation of the independent variable. Quasi-experimental designs are weaker in this regard because they lack random assignment, which increases the risk of internal validity threats. If the primary desired outcome is the definitive demonstration of causality, a true experimental design would be preferred over a quasi-experimental one whenever the study conditions allow.
Correct Answer is A
Explanation
Choice A rationale
In a qualitative research article, the results or findings section is where the researcher presents the synthesized data, often in the form of themes, categories, or a developed theory. This section includes direct quotes from participants to provide evidence for the interpretations. It is the core of the report where the primary data is translated into meaningful insights that answer the research question. This section focuses on what was discovered during the analytical process.
Choice B rationale
The sample section describes the characteristics of the participants and the setting of the study. It provides information on how many people were involved, their demographics, and how they were recruited. This section is essential for understanding the context of the study and for evaluating the transferability of the findings, but it does not contain the actual results or the discussion of what the data revealed. It sets the stage for the data collection.
Choice C rationale
The procedures section outlines the step-by-step actions taken by the researcher to carry out the study. This includes how data was collected, such as through interviews or focus groups, and how ethical protections were maintained. While it explains how the researcher arrived at the findings, it does not detail the findings themselves. Procedures focus on the operationalization of the research design rather than the thematic outcomes or the interpretations of the participant responses.
Choice D rationale
The methods section provides the overall framework of the study, including the qualitative design used, such as phenomenology or ethnography. It explains the philosophical underpinnings and the rationale for choosing a specific approach. While it mentions the plan for data analysis, the actual discussion of what the analysis produced belongs in the results or discussion sections. The methods section is a description of the tools and strategy rather than the final output.
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