Capturing non-linear temporally embedded processes in organizations using recurrence quantification analysis

How the Complexity of Psychological Processes Reframes the Issue of Reproducibility in Psychological Science

In the past decade, various recommendations have been published to enhance the methodological rigor and publication standards in psychological science. However, adhering to these recommendations may have limited impact on the reproducibility of causal effects as long as psychological phenomena continue to be viewed as decomposable into separate and additive statistical structures of causal relationships. In this article, we show that (a) psychological phenomena are patterns emerging from nondecomposable and nonisolable complex processes that obey idiosyncratic nonlinear dynamics, (b) these processual features jeopardize the chances of standard reproducibility of statistical results, and (c) these features call on researchers to reconsider what can and should be reproduced, that is, the psychological processes per se, and the signatures of their complexity and dynamics. Accordingly, we argue for a greater consideration of process causality of psychological phenomena reflected by key properties of complex dynamical systems (CDSs). This implies developing and testing formal models of psychological dynamics, which can be implemented by computer simulation. The scope of the CDS paradigm and its convergences with other paradigms are discussed regarding the reproducibility issue. Ironically, the CDS approach could account for both reproducibility and nonreproducibility of the statistical effects usually sought in mainstream psychological science.

The meeting after the meeting: A conceptualization and process model

This article offers initial theorizing on an understudied phenomenon in the workplace: the meeting after the meeting (MATM). As an informal and unscheduled event, the MATM takes place outside managerial control and has potentially far-reaching consequences. However, our current knowledge of the MATM relies primarily on practitioner observations, and conceptual work that integrates the MATM into the larger meeting science literature is missing. This article fills this gap by outlining key defining features of the MATM that can be used to structure future research. Moreover, and based on theorizing concerning the affect-generating nature of meetings, we develop an affect-based process model that focuses on the antecedents and boundary conditions of the MATM at the episodic level and shines light on meetings as a sequential phenomenon.

Plain Language Summary

This article sheds light on an understudied but rather common phenomenon in the workplace: The meeting after the meeting (MATM). Defined as an unscheduled, informal and confidential communication event, the MATM has the potential to create new structures in everyday organizational life. Yet, our current knowledge of this particular meeting type is very limited and largely based on anecdotal accounts by practitioners. To guide future research, this article first outlines key features of the MATM, focusing on when the MATM occurs, where it takes place, how it takes place, why it takes place, and who is involved in the MATM. Next, this article presents an affect-based process model of the MATM. To this end, antecedents and boundary conditions at the episodic level are outlined, highlighting that meetings should be seen as interconnected, sequential events.

Capturing the Temporal Dynamics of Language Style Matching in Groups and Teams

This article presents a dynamic conceptualization for the assessment of language style matching (LSM) over time. LSM is a team’s mutual adaption of function words like pronouns, articles, or prepositions. LSM is a nonconsciously but frequently occurring communication behavior allowing researchers unobtrusive insights into teams’ internal dynamics. Building on guidelines for the alignment of construct and measurement, a dynamic conceptualization and method for LSM are introduced. Simulated examples and interactions of N = 160 individuals in 26 teams indicate that dynamic LSM allows for a truer estimation of LSM than the hitherto used static method. Implications for future application are discussed.

Beyond Consistency: Contextual Dependency of Language Style in Monolog and Conversation

Language is highly dynamic: It unfolds over time, and we can use it to achieve a wide variety of communicative goals, from telling a story to trying to persuade another person. One aspect of language that has gained increasing popularity among researchers in the last several decades is the individual language style (LS) represented by an individual's use of function words (e.g., pronouns, articles). Previous approaches to LS mostly focus on LS of one individual in isolation, paying less attention to the fact that language emerges from interaction with others. The aim of this paper is twofold: First, we integrate LS into a dynamical theoretical framework and present an innovative methodological approach. Second, this paper aims to address how interactive conversation-as an aspect of the communicative setting-changes an individual's LS. We use recurrence quantification analysis to look at structure in patterns of LS in monologs and conversations of 118 participants. Our results showed that LS significantly differs from monolog to conversation, and post hoc analyses further revealed that the change in LS is greater for conflict than for friendly conversations. The difference between monologs and conversations is reflected more strongly in the dynamics (i.e., structure and complexity) of LS than the proportion of function words used. Theoretical implications and directions for future studies are discussed.