The process of carefully selecting a subset of individuals or elements from a larger population to represent it accurately in research.
The critical determination of how many subjects or data points are needed to ensure that research findings are statistically robust.
The evaluation of a study's ability to detect significant effects, ensuring that the research is designed to yield meaningful results.
The direct gathering of original data from sources such as surveys, interviews, or experiments, tailored to the specific research objectives.
A research approach focused on interpreting non-numerical data, aiming to uncover nuanced insights often gathered through interviews, content analysis, and observations.
An approach that involves the collection and analysis of numerical data using surveys, experiments, and statistical tools to quantify relationships and patterns.
The blueprint of a research study, outlining its structure, methods, and procedures to ensure its validity, reliability, and success in achieving research goals.
The use of existing data collected for other purposes, which researchers analyze and interpret to answer their research questions efficiently.