Research that is conducted in a formal, systematic process that uses numerical data to obtain information is known as what?

Choice A rationale

This principle emphasizes the autonomy of individuals, treating them as independent agents capable of self-determination. In research ethics, it ensures that participants are provided with sufficient information to make informed decisions without coercion or undue influence. It requires researchers to respect the choice of a prospective subject to enter or decline participation. This foundational ethical concept protects human dignity and prevents the exploitation of vulnerable populations within clinical research settings.

Choice B rationale

This ethical obligation requires researchers to maximize potential benefits while minimizing any possible harms to the participants. It involves a careful risk-benefit analysis to ensure that the study is safe and that the knowledge gained justifies any minor discomforts. While critical for the overall design of a study, it does not specifically address the individual's right or freedom to choose participation, which is the primary focus of autonomy or respect for persons.

Choice C rationale

This principle focuses on the fair distribution of the burdens and benefits of research. It ensures that specific groups, such as the poor or minorities, are not unfairly targeted for risky research while others reap the benefits. It involves equitable subject selection and avoids systematic bias in recruitment. While it promotes fairness in the research process, it does not directly govern the individual's psychological freedom to provide informed consent or withdraw from a study.

Choice D rationale

This refers to the researcher's obligation to protect the privacy of the participants by ensuring that their personal information and data are not disclosed to unauthorized parties. It is a vital component of the research relationship that builds trust and maintains the integrity of the data collected. However, it is a post-recruitment protection mechanism rather than the initial ethical principle that empowers a subject to choose whether they want to participate in the first place.

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.