A Systematic Literature Review of the Applications of Q-Technique and Its Methodology
Abstract
Q-methodology is a technique incorporating the benefits of both qualitative and quantitative research. Q-method involves Q-sorting, a method of data collection and factor analysis, to assess subjective (qualitative) information. The use of Q-sorting and factor analysis has often resulted in the misconception that Q-methodology involves psychometric or quantitative assessment, although Q as a methodology actually enables the systematic assessment of qualitative data. Misconceptions regarding Q have resulted in a heterogeneous collection of Q-applications in the extant literature, which has obscured the fundamental principles of Q-methodology. The purpose of this paper is to present a systematic review of Q-based research to investigate the criteria researchers have used to develop Q-studies. Published research studies between January 2008 and December 2008 that employed Q-techniques and methodology were assessed. Data were extracted and synthesized through the development and use of the Assessment and Review Instrument for Q-methodology (ARIQ). Fourteen research studies met the inclusion criteria for the review. The Q-methodological studies were disparate in their application of terminology, instrument development, and factor analysis, although data extraction and synthesis processes revealed two types of studies: those which aimed to apply conventional Q-methodology and those which applied variations of Q-techniques. It is concluded that variations of Q-technique and its methodology are unavoidable. However, this does not obviate the need for researchers to explicitly state their rationale for decisions to deviate from conventional Q-methodology if they are to produce demonstrably valid research. The review instrument (ARIQ) developed for this review will facilitate this end.
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