[Pre-conference workshop] Q-Sort Methodology: Bridging the divide between qualitative and quantitative methodology. An introduction to an innovative tool for psychotherapy research

Rost, Felicitas (2019). [Pre-conference workshop] Q-Sort Methodology: Bridging the divide between qualitative and quantitative methodology. An introduction to an innovative tool for psychotherapy research. In: Society for Psychotherapy Research 5th Joint European & UK Chapters Conference, 19-21 Sep 2019, Krakow, Poland.

URL: https://www.sprconference.com/EU-UK-2019/#:~:text=...

Abstract

Q-methodology is an innovative technique capable of bridging the divide between clinical knowledge and the quantitative systematization of it. Although this method has been extensively applied in clinical psychology its merits and usefulness for psychotherapy research remain largely in unknown. It was initially described by Stephenson (1935, 1953) as a data collection method, scaling technique and data analytic method to empirically study human subjectivity, in particular values, opinions and viewpoints from a first-person perspective. It was then extended by the British tradition (e.g. Curt, 1994; Stainton Rogers, 1995; Watts & Stenner, 2005) to study shared viewpoints, thereby adopting a multi-participant design and a highly unusual form of qualitative analysis. Finally it was adopted by Block (1961, 1971) for the use as a standardised observer-rated assessment tool. Its attractiveness stems from numerous advantages, the most salient being its aptitude to produce holistic data. For example, it provides the means for a statistical robust, reliable, and valid rating scale, whilst at the same time allowing space for clinical perspective and the possibility of a comprehensive understanding of the subject under study, as it collects both quantitative and narrative data. In this pre-conference workshop, I will provide an introduction to Q-statistic and Q-methodology (person-centred) by contrasting it to R-statistic and R-methodology (variable-centred). I will then provide an overview of the three schools within this method and their various merits demonstrated with examples. Learning Outcomes: - Develop knowledge and understanding of Q-methodology and its application within the three schools (single-participant design, multi-participant design and - Gain practical guidance on implementing Q-methodology within the three differing schools.

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