ArticleBehavior research methods2025
Cognitive-affective maps extended logic: Proposing tools to collect and analyze attitudes and belief systems.
Article in Behavior research methods, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
2 citing papers in PubMed.
- Cultural differences in healthcare: An investigation using cognitive-affective mapping.Global mental health (Cambridge, England) · 2026Article
- Informing robot design through early public engagement: lay perceptions of soft versus rigid socially assistive and rescue robots.Frontiers in robotics and AI · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
Abstract
Cognitive-affective maps extended logic is a software package that includes three tools designed for the collection and analysis of cognitive-affective maps (CAMs). CAMs are an innovative research method used to identify, visually represent, and analyze belief systems or any semantic knowledge. By instructing participants on how to draw a CAM, they can create a visual depiction of a belief system that illustrates their attitudes, thoughts, and emotional associations regarding a specific topic. CAMs can be considered as networks enabling participants to freely draw concepts and illustrate the affective (emotional) evaluations and connections between them. To simplify the creation of CAM studies, we first developed an administrative panel for researchers which enables them to set up CAM studies without any coding. Second, to draw CAMs, a tool was developed to give participants the opportunity to create a visual depiction of their own belief system regarding a specific topic. Third, the resulting data can be analyzed using the respective data analysis app, which tracks each analysis step to make the analysis process fully transparent. As a time-efficient approach, CAMs can be used to inform exploratory research questions, like the conceptualization of surveys, or be valuable as an independent method. The tools are available under a free and open-source license. Further information, code, and comprehensive documentation are available at https://drawyourminds.de .
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.