Cited by 49Cognitive Science and MappingComplex Systems and Decision MakingEducational Technology and Assessment

Fuzzy cognitive mapping: An old tool with new uses in nursing research

Andersson, Neil, Silver, Hilah·2019·Journal of Advanced Nursing

Abstract

Aims: Describe the implementation and uses of fuzzy cognitive mapping (FCM) as a constructive method for meeting the unique and rapidly evolving needs of nursing inquiry and practice. Design: Discussion paper. Data sources: Drawing on published scholarship of cognitive mapping from the fields of ecological management, information technology, economics, organizational behaviour and health development, we consider how FCM can contribute to contemporary challenges and aspirations of nursing research. Implications for nursing: Fuzzy cognitive mapping can generate theory, describe knowledge systems in comparable terms and inform questionnaire design and dialogue. It can help build participant–researcher partnerships, elevate marginalized voices and facilitate intercultural dialogue. As a relatively culturally safe and foundational approach in participatory research, we suggest that FCM should be used in settings of transcultural nursing, patient engagement, person‐ and family‐centred care and research with marginalized populations. FCM is amenable to rigorous analysis and simultaneously allows for greater participation of stakeholders. Conclusion: In highly complex healthcare contexts, FCM can act as a common language for defining challenges and articulating solutions identified within the nursing discipline. Impact: There is a need to reconcile diverse sources of knowledge to meeting the needs of nursing inquiry. FCM can generate theory, describe knowledge systems, facilitate dialogue and support questionnaire design. In its capacity to engage multiple perspectives in defining problems and identifying solutions, FCM can contribute to advancing nursing research and practice.

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Crossref · 10.1111/jan.14192

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41 of 41 references verified0 citation errors · 0 not checkable

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  • It would have been difficult and inadvisable to conduct an FCM group with 40 people, as the recommended maximum is five per session.

    “It would have been difficult and inadvisable to conduct a FCM group with this number of people, as the recommended number of participants is maximum five per session (Andersson & Silver, 2019).”
  • The fuzzy cognitive mapping analysis followed the approach of the author's co-supervisor and team.

    “Analysis of Fuzzy Cognitive Mapping relied on the approach used and outlined by my co-supervisor and his team (Andersson & Silver, 2019;Sarmiento et al., 2024;Sarmiento et al., 2022).”
  • For each of the two maps, the study followed a protocol based on those outlined by Andersson and Silver (2019), Barbrook-Johnson & Penn (2022), and Cole & Perschitte (2000).

    “For each of the two maps, we followed a protocol based on those outlined by Andersson and Silver (2019), Barbrook-Johnson & Penn (2022) and Cole & Perschitte (2000).”
  • The study tried to organize FCM groups of about three to five people, as more than five people leads to a less smooth and efficient process.

    “We tried to organize groups of about three to five people, as more than five people has been found to lead to a less smooth and efficient process (Andersson & Silver, 2019).”

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Authors
Andersson, N., & Silver, H.
Affiliations
  • Universidad Autónoma de Guerrero (MX)
  • McGill University (CA)
Corresponding author
Silver, Hilah
Venue
Journal of Advanced Nursing
Publisher
Wiley
Published
2019-10-10
Volume
75
Issue
12
Pages
3823-3830
ISSN
  • 0309-2402 (ISSN-L)
  • 1365-2648
OpenAlex
W2971607732
Cited by
46
References
41
Citations by year
2026: 7 · 2025: 7 · 2024: 13 · 2023: 9 · 2022: 2 · 2021: 7 · 2020: 1
FWCI
1.14
Type
journal article
Language
en
Open access
closed
Locations
  • Journal of Advanced Nursing (publishedVersion)
  • PubMed (publishedVersion)
Topics
  • Physical Sciences › Computer Science › Artificial Intelligence › Cognitive Science and Mapping
  • Social Sciences › Decision Sciences › Management Science and Operations Research › Complex Systems and Decision Making
  • Physical Sciences › Computer Science › Information Systems › Educational Technology and Assessment
Keywords
fuzzy cognitive mapping, cognitive mapping, nursing research, participatory research, transcultural nursing, patient engagement, person-centred care, family-centered care, marginalized communities, intercultural dialogue, knowledge systems, theory generation, questionnaire design, stakeholder engagement
MeSH terms
Cognition, Data Collection, Delivery of Health Care, Female, Humans, Male, Models, Theoretical, Nursing Research, Fuzzy Logic

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