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Rigorously interpreted quotation analysis for evaluating causal loop diagrams in late‐stage conceptualization
As a field, system dynamics has made more progress in developing formal model evaluation methods that use quantitative data than ones that use qualitative data. This article describes a formal method for evaluating a causal loop diagram (CLD) in late‐stage conceptualization – referred to as rigorous...
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Published in: | System dynamics review 2022-01, Vol.38 (1), p.41-80 |
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Main Authors: | , , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | As a field, system dynamics has made more progress in developing formal model evaluation methods that use quantitative data than ones that use qualitative data. This article describes a formal method for evaluating a causal loop diagram (CLD) in late‐stage conceptualization – referred to as rigorously interpreted quotation analysis – and illustrates its application in a case study. The method uses a systematic and explicit interpretive process to confirm or disconfirm all diagram elements in a CLD by comparing it to stakeholders’ verbatim descriptions of their experiences in a complex dynamic situation. In so doing, this method enables the resolution of discrepancies between a CLD and qualitative data, building confidence in the structural aspects of a dynamic hypothesis. It does so via a process that is approachable for experts and stakeholders alike. © 2022 System Dynamics Society. |
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ISSN: | 0883-7066 1099-1727 |
DOI: | 10.1002/sdr.1701 |