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Mapping validity and validation in modelling for interdisciplinary research
1Biometris, Wageningen University & Research, Droevendaalsesteeg 1, 6708 PB Wageningen, The Netherlands.
Quality & Quantity
|November 25, 2020
Summary
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.
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.
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