Abstract

This paper illustrates a methodological approach that combines computerized text analysis, quantitative analysis, and qualitative discourse analysis in comparing large bodies of therapeutic language. More specifically, it explores how language use in psychotherapy is associated with different therapeutic approaches and therapeutic roles (i.e., therapists and clients). The dataset consisted of 155 therapeutic sessions (over 1,057,000 words) that are illustrative of four approaches, i.e., psychoanalysis, humanistic therapy, Cognitive Behavioral Therapy (CBT), and eclectic therapy. The transcripts were divided according to therapeutic approaches and therapeutic roles and processed using Linguistic Inquiry Word Count (LIWC) in terms of four summary variables, i.e., analytical thinking, clout, emotional tones, and authenticity. A series of mixed-effects models with session as the random effect was fitted, and the statistical patterns were illustrated using linguistic examples and discussed from a discourse analytic perspective. The approach demonstrates methodological strengths in exploring large-scale data and expanding the research scope permitted by traditional discourse analysis. The findings underline professional knowledge and institutionalized roles as key factors influencing the use of therapeutic language, providing meaningful insights for the clinical understanding and future research into therapeutic language.

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