One salient difference between Q and other social science research methodologies, such as surveys, is that it typically uses many fewer subjects.

This can be a strength, as Q is sometimes used with a single subject.

Emphasis is placed on quality, rather than quantity, of the evidence.

Since concourses do not have clear membership lists (as would be the case in the population of subjects), statements cannot be drawn randomly.

Commonly Q methodologists use a structured sampling approach in order to ensure that they include the full breadth of the concourse.

Q, on the other hand, looks for correlations between subjects across a sample of variables.

Q factor analysis reduces the many individual viewpoints of the subjects down to a few "factors," which represent shared ways of thinking.

If the test, and/or the interpretations of the test’s results are revised in any way, a new validation process must gather evidence to support the new version.

Assessment | Biopsychology | Comparative | Cognitive | Developmental | Language | Individual differences | Personality | Philosophy | Social | Methods | Statistics | Clinical | Educational | Industrial | Professional items | World psychology | Social Processes: Methodology · Types of test Q Methodology is a research method used in psychology and other social sciences to study people's "subjectivity" -- that is, their viewpoint.

In studies of intelligence, Q factor analysis can generate Consensus based assessment (CBA) scores as direct measures.

Alternatively, the unit of measurement of a person in this context is his factor loading for a Q-sort he or she performs. The individual who gains the highest factor loading on an Operant factor is the person most able to conceive the norm for the factor.

Q was developed by psychologist William Stephenson.