Indexing dynamic collective constructs using computer-aided text analysis: Construct validity evidence and illustrations featuring team processes.

Organizational processes have been widely recognized as both multilevel and dynamic, yet traditional methods of measurements limit our ability to model and understand such phenomena. Featuring a popular model of team processes advanced by Marks et al. (2001), we illustrate a method to use individuals' communications as construct valid unobtrusive measures of collective constructs occurring over time. Thus, the purpose of this investigation is to develop computer-aided text analysis (CATA) techniques that can score members' communications into valid team process measures. We apply a deductive content validity-based method to construct CATA dictionaries for Marks et al.'s dimensions. We then demonstrate their convergent validity with subject matter experts' (SMEs) hand-coded team communications and different SMEs' behaviorally anchored rating scales based on video recordings of team interactions, using multitrait-multimethod analyses in two samples. Using a third sample of paramedics performing a high-fidelity mass casualty incident exercise, we further demonstrate the convergent validity of the CATA and SME scorings of communications. We then model the relationships among processes across episodes using all three samples. Next, we test criterion-related validity using a longitudinal dual-discontinuous change growth modeling design featuring the paramedic CATA-scored team processes as related to a dynamic performance criterion. Finally, we integrate behavioral data from wearable sensor badges to illustrate how CATA can be scored at the individual level and then leveraged to model dynamic networks of team interactions. Implications, limitations, directions for the future research, and guidelines for the application of these techniques to other collective constructs are discussed. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

Helping fluid teams work: A research agenda for effective team adaptation in healthcare.

Although membership changes within teams are a common practice, research into this phenomenon is relatively nascent (Summers et al.; Acad Manag J 55:314-338, 2012). The small literature base, however, does provide insight into skills required for effective adaptation. The purpose of this effort is to provide a brief research synopsis, leading to research hypotheses about medical team training. By generalizing previous scientific findings regarding skills required for effective membership adaptation in different kinds of teams, we posit mechanisms whereby teamwork training might also support adaptation among medical teams (Burke et al.; Qual & Saf Health Care 13:i96-i104, 2004 and Salas et al.; Theor Issues Ergon Sci 8:381-394, 2007). We provide an overview of the membership change literature. Drawing upon literature from both within and outside of the medical domain, we suggest a framework and research propositions to aid in research efforts designed to determine the best content for helping to create adaptable medical teams through team training efforts. For effective adaptation, we suggest ad hoc teams should be trained on generalizable teamwork skills, to share just "enough" and the "right" information, to engage in shared leadership, and to shift from explicit to implicit coordination. Our overarching goal was to present what is known from the general research literature on successful team adaptation to membership changes, and to propose a research agenda to evaluate whether findings generalize to member changes in medical teams.