The way that individuals use function words in a conversation-reflecting how they say things, rather than what they say-is called their individual language style. The dyadic coordination of language styles, called language style matching (LSM), is central to the development of social relationships in conversations. Despite a growing body of research on LSM, conceptual and methodological approaches are inconsistent between scholars. After giving a conceptual overview of LSM, we derive the properties desirable for analyses of LSM in interaction (e.g., reciprocity, consistency, and frequency sensitivity). Building on these properties, the existing three methodological approaches to LSM are reviewed. Since none of the existing metrics fulfills all the desired properties, we introduce a new metric to assess LSM in dyadic interaction, capturing reciprocal adaption throughout the dynamic process of a conversation. Hence, the new metric is called reciprocal LSM (rLSM). To empirically establish the conceptual underpinnings of rLSM, the metric is compared to the LSM metric most commonly used in psychological research. Both metrics are applied to a set of N = 77 transcribed real-life dyadic conversations, analyzed with the Linguistic Inquiry and Word Count software. The results indicate that rLSM is a better estimate of LSM than is the old metric and that there is high conceptual similarity between the two metrics. Implications for existing research and directions for future research are discussed. To facilitate the standardization and comparability of research, guidelines are provided for authors on the use of the new and existing metrics.

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Linguistic style matching (LSM) refers to a similar linguistic style among conversation partners. We examine the effects of LSM on perceived team performance and perceived social support in real work groups. We propose that team tenure moderates the relationship between LSM and perceived performance such that LSM and performance are positively related for teams with low tenure and negatively related for teams with high levels of tenure. We also propose that LSM and perceived social support are positively related. To test the hypotheses, we videotaped and transcribed meetings of 160 researchers, nested in 26 teams, to assess the individual levels of LSM. We measured team performance and social support with questionnaire scales. In partial support of the hypotheses, multilevel models show a negative relationship between LSM and team performance and a positive relationship between LSM and social support. We discuss potential implications for team research and practitioners.

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In an attempt to operationalize an implicit aspect of the therapeutic alliance, this article proposes the use of the innovative, objective, and time-efficient analysis of language style matching (LSM; Niederhoffer & Pennebaker, 2002). LSM, defined as the degree of similarity in rates of function words in dyadic interactions, is thought to reflect the extent to which conversational partners are automatically coordinating language styles to achieve a common goal. Although LSM has often been researched in the context of everyday conversations, little is known about the matching of clients and therapists’ language style in the psychotherapy process. To demonstrate the clinical usefulness of the LSM approach in psychotherapy, 2 exploratory examples of the application of LSM in long-term psychoanalytic treatments are provided. First, LSM analyses per session and per speaking-turn are described for psychotherapy data of 140 sessions of 7 long-term psychoanalytic treatments in relation to outcome measures. Then, a case study is described in which LSM is triangulated with an observer-rated measure of working alliance in relation to outcome measures. These 2 demonstrative empirical examples were explorative in character and illustrate how LSM might tap into an implicit aspect of the therapeutic relationship, different from the working alliance measured by observers, and relevant for treatment outcome. Future larger-scale psychotherapy studies into the relationship between these implicit aspects of the alliance and treatment outcome and relevant clients and therapists’ variables are warranted.