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Text-based cognitive mapping method for measuring team shared mental models

Research Method · All research methods
Evidence · 1 claim (1 for) · 1 study (1 associational), q2 · 0 of 1 report an effect size · 1 claim rests on one study

Description

The study measures shared mental models using Carley's (1997) automated text-based cognitive mapping: team members' open-ended answers are coded as concept networks via filtering (delete lists and a thesaurus) and windowing (relations within a range of eight concepts), and the team's shared model is the intersection of individual maps under a lossy rule (concepts or statements identical in at least two of three maps). The article reports that "She collected evidence on the reliability and validity of the method, which showed to be satisfactory."

Accounts

  • Text-based cognitive mapping method for measuring team shared mental models: The study measures shared mental models using Carley's (1997) automated text-based cognitive mapping: team members' open-ended answers are coded as concept networks via filtering (delete lists and a thesaurus) and windowing (relations within a range of eight concepts), and the team's shared model is the intersection of individual maps under a lossy rule (concepts or statements identical in at least two of three maps). The article reports that "She collected evidence on the reliability and validity of the method, which showed to be satisfactory." (Van den Bossche et al. (2011))

Claims

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Key Sources

  • Van den Bossche, P., Gijselaers, W., Segers, M., Woltjer, G., & Kirschner, P. (2011). Team learning: building shared mental models. Instructional Science, 39, 283-301. https://doi.org/10.1007/s11251-010-9128-3
Page metadata
Field Value
type research-method
id text-based-cognitive-mapping-method-for-measuring-team-shared-mental-models
title Text-based cognitive mapping method for measuring team shared mental models
description The study measures shared mental models using Carley's (1997) automated text-based cognitive mapping: team members' open-ended answers are coded as concept networks via filtering (delete lists and a thesaurus) and windowing (relations within a range of eight concepts), and the team's shared model is
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generated by process:settle-candidates on 2026-10-18
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