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Related Experiment Video

Updated: Jan 25, 2026

Temporal Ordering of Dynamic Expression Data from Detailed Spatial Expression Maps
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Using State Space Grids for Modeling Temporal Team Dynamics.

Annika L Meinecke1, Clara S Hemshorn de Sanchez1, Nale Lehmann-Willenbrock1

  • 1Department of Industrial/Organizational Psychology, Institute of Psychology, University of Hamburg, Hamburg, Germany.

Frontiers in Psychology
|May 10, 2019
PubMed
Summary
This summary is machine-generated.

Dynamic systems theory offers new insights into team dynamics. State space grids visualize temporal team processes and quantify system properties, aiding team science and development.

Keywords:
dynamic systems theoryinteraction analysisstate space gridsteam process dynamicsteam science

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Area of Science:

  • Social Psychology
  • Organizational Behavior
  • Team Science

Background:

  • Traditional research methods often overlook the complex, temporal nature of team processes.
  • Understanding emergent patterns in team interactions is crucial for effective team functioning.

Purpose of the Study:

  • To introduce dynamic systems theory as a framework for studying team dynamics.
  • To highlight state space grids as a method for analyzing temporal team processes.
  • To demonstrate the utility of state space grids in team science.

Main Methods:

  • Utilizing state space grids to visualize and quantify relationships between synchronized categorical variables in team interactions.
  • Applying dynamic systems theory principles to interpret team process data.
  • Providing a tutorial and software overview for implementing state space grids.

Main Results:

  • State space grids effectively visualize the emergent structure of social processes within teams.
  • Quantifications derived from state space grids capture both content and structural dynamics of team systems.
  • An application example demonstrates the practical use of the method with coded interaction data.

Conclusions:

  • State space grids offer a powerful methodological tool for advancing team science by capturing temporal dynamics.
  • The technique has broad implications for research, team training, and team development.
  • Researchers and practitioners can leverage state space grids to gain deeper insights into team functioning.