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This concise volume, using examples of psychotherapy talk, showcases the potential applications of data analytics for advancing discourse research and other related disciplines.
The 'real-world' commitment of cognitive linguistics is demonstrated by increasingly extensive collaboration between researchers and industry partners. Yet, there has been little critical reflection on the lessons learnt from these collaborative efforts. Beginning researchers may benefit from in-depth discussion of how various practical realities inform, constrain, or otherwise shape important methodological and/or analytic decisions. This Element reflects on long-term collaborative work between a metaphor researcher and psychotherapists, offering practical advice on navigating the latent realities of this type of research. The three foundational components of psychotherapy - the therapist, the client, and the interactional setting itself - are discussed in turn, covering issues like ethically engaging therapists in research design and data analysis, dealing with underexplored variabilities in client responses, and managing the inherent tension between spontaneity and control in an interactional setting like psychotherapy. Some thoughts on how the lessons are transferable to other research contexts are offered.
Contemporary data analytics involves extracting insights from large volumes of data and translating these insights into action to enhance knowledge and practice. Combining tutorial-style chapters and empirical studies, this collection of papers explains the distinction between data analytics and statistics as typically conceived, and shows how data analytic approaches can inform different areas of cognitive linguistic research and application.
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