SAGE Handbook of Mixed Methods in Social &Amp; Behavioral Research 2010
DOI: 10.4135/9781506335193.n20
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Using Q Methodology and Q Factor Analysis in Mixed Methods Research

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Cited by 90 publications
(121 citation statements)
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“…Considering both aspects of Q, several researchers have argued that Q aligns well with the practice of mixed methods approach (Newman & Ramlo, 2010, Ramlo, 2015. Q reflects a mixture of both qualitative and quantitative methods (Stenner & Stainton-Rogers, 2004) and fits well into the qualitative-mixed-quantitative continuum (see Tashakkori & Teddlie, 2009;Ramlo & Newman, 2011).…”
Section: Q's Position In Research Methodologymentioning
confidence: 99%
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“…Considering both aspects of Q, several researchers have argued that Q aligns well with the practice of mixed methods approach (Newman & Ramlo, 2010, Ramlo, 2015. Q reflects a mixture of both qualitative and quantitative methods (Stenner & Stainton-Rogers, 2004) and fits well into the qualitative-mixed-quantitative continuum (see Tashakkori & Teddlie, 2009;Ramlo & Newman, 2011).…”
Section: Q's Position In Research Methodologymentioning
confidence: 99%
“…Therefore, in a Q study, it is the data of individuals that are examined in order to identify different types of participants who responded to the topic in a similar way. In other words, Q groups persons rather than statements (Newman & Ramlo, 2010). Participants are considered the variables, known as, P set.…”
Section: P Set: Participantsmentioning
confidence: 99%
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“…Q factor analysis (Cattell, 1978) is a multivariate method for data reduction that is considered a mixed method technique (Newman & Ramlo, 2010). Q factor analysis is closely associated with Q methodology (Stephenson, 1953), which is "a set of procedures, theory, and philosophy that focuses on the study of subjectivity" (Newman & Ramlo, 2010, p. 507).…”
Section: Q Factor Analysismentioning
confidence: 99%
“…Specifically, Q methodology measures an "individual's feelings, opinions, perspectives, or preferences" about a specific topic (Newman & Ramlo, 2010, p. 507) by asking participants to place statements into a rank order sorting grid that represents their views on a specific topic and then using factor analysis on the sorts to derive factors that have similar characteristics (Newman & Ramlo, 2010). This use of factor analysis is known as Q factor analysis, and while this technique is almost always a part of Q methodology studies, Q factor analysis can also be utilized on its own without sorting.…”
Section: Q Factor Analysismentioning
confidence: 99%