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Q methodology

Q Methodology is a research method used in psychology and in social sciences to study people's 'subjectivity'—that is, their viewpoint. Q was developed by psychologist William Stephenson. It has been used both in clinical settings for assessing a patient's progress over time (intra-rater comparison), as well as in research settings to examine how people think about a topic (inter-rater comparisons). Q Methodology is a research method used in psychology and in social sciences to study people's 'subjectivity'—that is, their viewpoint. Q was developed by psychologist William Stephenson. It has been used both in clinical settings for assessing a patient's progress over time (intra-rater comparison), as well as in research settings to examine how people think about a topic (inter-rater comparisons). The name 'Q' comes from the form of factor analysis that is used to analyze the data. Normal factor analysis, called 'R method,' involves finding correlations between variables (say, height and age) across a sample of subjects. 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 are claimed to represent shared ways of thinking. It is sometimes said that Q factor analysis is R factor analysis with the data table turned sideways. While helpful as a heuristic for understanding Q, this explanation may be misleading, as most Q methodologists argue that for mathematical reasons no one data matrix would be suitable for analysis with both Q and R.

[ "Pedagogy", "Social psychology", "Statistics", "Machine learning", "Medical education" ]
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