Q-methodology (also known as Q-sort) is the systematic study of participant viewpoints.
Q-methodology is used to investigate the perspectives of participants who represent different stances on an issue, by having participants rank and sort a series of statements.
Participant responses are analysed using factor analysis. Unlike standard uses of factor analysis (often called R Methodology), the variables are individuals, not traits. There are five basic steps in setting up this methodology
- Definition of the domain of discourse on the particular issue;
- Development of the set of statements (Q-sort);
- Selection of the participants representing different perspectives;
- Q sort by participants; and
- Analysis and interpretation.
Q-sort is a mixed methodology. It uses the qualitative judgements of the researcher in defining the problem, developing statements to investigate the perspectives of participants (some of the statements may be developed after interviewing key informants), and selecting participants. It uses quantitative options of analysis. It can be very helpful in unearthing perspectives without requiring participants to articulate these clearly themselves. It is a useful complement to a range of other objective evaluation measures. For example, Q-methodology can be used to examine teacher’s perspectives on teaching as part of an evaluation of a school district. Other evaluation measures can include test scores, attendance and completion.
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'Q-methodology' is referenced in:
- Rainbow Framework :