a research approach used to systematically study people’s viewpoints, opinions, or beliefs on a given topic. It combines qualitative and quantitative techniques by asking participants to rank a set of statements according to how much they agree or disagree. These rankings are then analyzed statistically (often using factor analysis) to identify shared patterns or perspectives among participants. Q-methodology is particularly useful for exploring subjective issues where there may be multiple, equally valid viewpoints.
Synonyms: Q-Sort
Example
A team studying patient priorities for rheumatoid arthritis treatment uses Q-methodology. They provide 40 statements about treatment goals (such as pain relief, improved mobility, or fewer side effects). Each participant sorts the statements from “most important” to “least important.” Statistical analysis of these sorts reveals three distinct viewpoints: one group prioritizes pain relief above all, another values long-term function, and a third emphasizes minimizing side effects.