In the PICO framework, what does the C stand for?

Choice A rationale

This statement is incorrect regarding the manipulation of variables in research design. In both experimental and some quasi-experimental designs, it is the independent variable that is manipulated by the researcher to observe its effect on the dependent variable. The dependent variable is the outcome being measured and is never manipulated. Non-experimental designs do not involve manipulation of any variables but rather focus on observing and describing relationships as they exist in nature.

Choice B rationale

While experimental designs do involve manipulation, the distinction provided here is slightly misleading. Experimental designs create a controlled environment to test interventions, whereas non-experimental designs observe phenomena without interference. However, the core difference lies in the level of control and the ability to establish causality. Non-experimental research is often used when manipulation is unethical or impossible, allowing researchers to study variables in their natural state without attempting to change or control them.

Choice C rationale

Both experimental and non-experimental designs are grounded in the scientific method and are essential to the advancement of nursing knowledge. Non-experimental designs, such as correlational or descriptive studies, provide the foundational data and observations necessary to develop hypotheses. They are rigorous and follow specific protocols for data collection and analysis. Labeling them as having no scientific basis is a fundamental misunderstanding of research methodology and the various ways evidence is gathered.

Choice D rationale

Experimental designs are specifically structured to establish cause-and-effect relationships through the use of control groups, randomization, and manipulation of the independent variable. This allows researchers to claim that a specific intervention caused a specific change. In contrast, non-experimental designs are used to describe, explore, or test differences and relationships between variables without implying that one causes the other. They identify associations and patterns which provide critical insights into clinical situations and patient populations.

Choice A rationale

The literature review serves as the foundation for the study, providing a theoretical and empirical context that aligns the methodology with the research questions. By understanding what has been done previously, the researcher can select a design that is most capable of answering the specific purpose of the study. This ensures consistency between the stated goals and the methods used, preventing the researcher from drifting away from the core inquiry.

Choice B rationale

A literature review is intended to focus and refine the scope of a study rather than simply enlarging it. Broadening the hypotheses without clinical or theoretical justification can lead to a study that is too vague or lacks sufficient power. Effective reviews help in narrowing down variables to those that are most relevant, ensuring that the research remains manageable and that the hypotheses are grounded in existing scientific evidence and logic.

Choice C rationale

While an objective assessment of knowledge is a function of the literature review, its specific role in design selection is more about identifying the best path forward. Objectivity allows the researcher to see gaps in current science, which then dictates whether an exploratory, descriptive, or experimental design is needed. It provides the rationale for the chosen architecture of the study by highlighting what tools and approaches worked or failed in prior investigations.

Choice D rationale

Comparing current findings with previous ones happens in the discussion section after data has been collected and analyzed. This occurs at the end of the research process, whereas selecting a study design happens at the beginning. The literature review during the planning phase looks at previous findings to inform the design, but the actual comparison of the new results to old ones is a posterior step in the scientific method.