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Mapping validity and validation in modelling for interdisciplinary research.

Guus Ten Broeke1, Hilde Tobi1

  • 1Biometris, Wageningen University & Research, Droevendaalsesteeg 1, 6708 PB Wageningen, The Netherlands.

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Summary
This summary is machine-generated.

Complex Adaptive Systems (CAS) research quality requires clear definitions of validity and validation. This study integrates these concepts into a single map for better assessment of CAS models.

Keywords:
Agent-based modelGeneralizabilityInterdisciplinarityInternal validityMeasurement validitySystem dynamics

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Area of Science:

  • Interdisciplinary research
  • Complex Adaptive Systems (CAS) modeling
  • Social science research methodology

Background:

  • Complex Adaptive Systems (CAS) models are crucial for understanding global challenges.
  • Assessing CAS research quality necessitates understanding 'validity' and 'validation'.
  • Existing literature lacks a unified framework for CAS model validity and validation.

Purpose of the Study:

  • To analyze and integrate the concepts of 'validity' and 'validation' in CAS modeling.
  • To present a unified map of validity and validation across the CAS modeling lifecycle.
  • To provide clear terminology for assessing the quality of CAS research.

Main Methods:

  • Literature review of social science and simulation modeling textbooks.
  • Analysis of 'validity' and 'validation' concepts within these texts.
  • Development of an integrated map illustrating validity and validation across model input, process, and output.

Main Results:

  • A comprehensive map integrating validity and validation concepts is presented.
  • The map distinguishes between validity of input data, structural/behavioral validation, and independent data validation.
  • An example illustrates the application of the proposed integrated map.

Conclusions:

  • A unified framework for CAS model validity and validation enhances research quality assessment.
  • Clear terminology improves the description and distinction of different validation types.
  • The integrated map serves as a valuable tool for researchers designing and evaluating CAS models.