Q Methodology

“Q can be very helpful in exploring tastes, preferences, sentiments, motives and goals, the part of personality that is of great influence on behaviour but that often remains largely unexplored.”

(Van Exel and De Graaf, 2005, p.2)

Q methodology is a way to understand how people think about a topic. It is useful when you want to look closely at their opinions, values, or beliefs. For example, researchers have used it to study what older people think about well-being (Hackert et al., 2019), whether new technologies are ethical and acceptable (Gauttier, 2019), or political ideas in the United States (Leonard et al., 2021). In Q methodology, participants are given a set of statements and asked to arrange them to show which ones they agree with most and which ones they disagree with. Researchers then study these arrangements to find common viewpoints among participants. This helps show how and why people have different opinions about the same topic.

For example, Hackert et al. (2019) used Q methodology to study what older people in the Netherlands think is important for well-being. Their study found five different viewpoints about what mattered most:

1. Health, financial security, and having a life partner
2. Family, social support, and physical functioning
3. Autonomy, mental health, and helping others
4. Social contacts, support, mental health, and religion
5. A life partner, social connections, living environment, and adaptability

From this, it is clear that health and social relationships were important in most viewpoints. But there is also a lot of variety, which shows that well-being is not the same for everyone. The authors say these findings show why care services for older people should focus on the individual. Policies and evaluations need to consider these differences so that services match the different priorities and values of older people.

To uncover the richness and complexity of how people think about an issue, Q methodology combines qualitative insights with quantitative analysis. Here’s how the process unfolds:

1. Concourse creation. This means collecting a big mix of statements about your topic. For example, if your topic is “the association between wellbeing and working from home versus working in the office”, you might want to include statements such as “Working from home improves my work–life balance,” “I am more productive in the office,” and “Remote work makes me feel isolated.” You can generate such statements based on previously conducted interviews, documents, social media posts, or news articles. The goal is to gather as many different ideas as possible about the topic. This collection of statements is called the concourse.
2. Q-sorting exercise. Participants take the statements you collected and rank them on a grid, from the ones they agree with the most to the ones they disagree with the most. This ranking is called the Q-sort. In most studies, the grid looks like an upside-down pyramid, which means only a few statements can go in the “most agree” and “most disagree” spots, while more go in the middle. This design makes people think carefully about their choices and what matters most to them (see image below).
3. Meaning making: After participants rank the statements to show their views, you can ask them why they put certain statements at the top or bottom. For example, you might ask: “Why is this statement most important to you?” or “Why did you disagree with this one?” Their answers give you detailed stories that show personal values, priorities, and reasons for their choices. You can study these stories using qualitative methods (like thematic analysis) to understand the deeper meaning behind each viewpoint.
4. Factor analysis. To look at the actual Q-sorts (step 3), you need to use factor analysis. This is a statistical method that finds patterns in how people sorted the statements. It groups people who sorted statements in similar ways. Each group shows a shared opinion or viewpoint. Using the example we talked about earlier, factor analysis might reveal one group that values flexibility and autonomy and prefers working from home, and another that emphasizes collaboration and social interaction and prefers working in the office. Each group represents a shared way of thinking about work and wellbeing, showing how different people make sense of the same issue in different ways.

[Image source (adapted by the author): https://lunacelino.com/2024/04/24/%F0%9F%93%8B-sorting-cards-in-social-environmental-research-sharing-experiences-about-q-methodology/]

Benefits of Q methodology:

• Reveals shared viewpoints: Identifies distinct perspectives within a group, even when opinions are complex or subtle.
• Captures subjectivity systematically: Combines qualitative insights with quantitative structure.
• Participant-centred: Lets people express their own viewpoint by sorting statements rather than answering predefined scales.
• Works with small samples: Useful when the goal is understanding perspectives, not measuring how common they are.

Limitations of Q methodology

• Not designed for generalisation: Findings show the range of viewpoints, not how many people hold each one.
• Statement set matters: Results depend heavily on the quality and balance of the statements chosen.
• Interpretation requires judgement: Making sense of the factors involves researcher interpretation, which can introduce bias.
• Less suited to very large or highly diverse populations: Managing and analysing many Q-sorts can become complex.

For more information about Q methodology, please explore the resources below.

(Author : Alexandra Lugova)

Videos:

Manuals and Guidelines:

Q methodology: A sneak preview by Job Van Exel and Gjalt de Graaf

This short article offers a clear and accessible introduction to Q methodology, explaining its purpose, main steps, and the kinds of research questions it can address. (Academic reference: Van Exel, J., & De Graaf, G. (2005). Q methodology: A sneak preview.)

Websites:

The official Q methodology website

The official website for the international Q methodology community. It provides useful resources, informs about the past and upcoming events organised by the community, and connects practitioners of the method from all around the world.  (Academic reference: International Society for the Scientific Study of Subjectivity. (n.d.). Q methodology [website]. https://qmethod.org/)

Manuals and Guides:

Beginner’s Guide to Q Methodology by Jonathan Sandling

This is an accessible guide by Jonathan Sandling that introduces Q Methodology step-by-step. (Academic reference: Sandling, J. (n.d.). Q Methodology: Complete Beginner’s Guide. Jonathan Sandling. https://jonathansandling.com/q-methodology-complete-beginners-guide/)

Books:

Doing Q Methodological Research: Theory, Method and Interpretation by Simon Watts and Paul Stenner

The book provides a simple yet thorough introduction to Q methodology, which might be of assistance those interested in using the method for the first time and/or who wish to further develop their methodological skills and understanding. (Academic reference: Watts, S., & Stenner, P. (2012). Doing Q methodological research: Theory, method and interpretation. SAGE Publications Ltd.)

A Primer on Q Methodology by Steven R. Brown

This primer serves two functions: (1) It is a simplified introduction to Q methodology, (2) It also illustrates different conceptions of Q methodology by taking the concept of “Q methodology” as the subject matter of the study. (Academic reference: Brown, S.R. (1993). A Primer on Q Methodology. Operant Subjectivity.)

Videos:

Websites:

Podcasts:

Articles: