认知-情感地图扩展逻辑:提出收集和分析态度和信念系统的工具。

IF 4.6 2区 心理学 Q1 PSYCHOLOGY, EXPERIMENTAL
Julius Fenn, Florian Gouret, Michael Gorki, Lisa Reuter, Wilhelm Gros, Paul Hüttner, Andrea Kiesel
{"title":"认知-情感地图扩展逻辑:提出收集和分析态度和信念系统的工具。","authors":"Julius Fenn, Florian Gouret, Michael Gorki, Lisa Reuter, Wilhelm Gros, Paul Hüttner, Andrea Kiesel","doi":"10.3758/s13428-025-02699-y","DOIUrl":null,"url":null,"abstract":"<p><p>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 .</p>","PeriodicalId":8717,"journal":{"name":"Behavior Research Methods","volume":"57 6","pages":"174"},"PeriodicalIF":4.6000,"publicationDate":"2025-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12089172/pdf/","citationCount":"0","resultStr":"{\"title\":\"Cognitive-affective maps extended logic: Proposing tools to collect and analyze attitudes and belief systems.\",\"authors\":\"Julius Fenn, Florian Gouret, Michael Gorki, Lisa Reuter, Wilhelm Gros, Paul Hüttner, Andrea Kiesel\",\"doi\":\"10.3758/s13428-025-02699-y\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>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 .</p>\",\"PeriodicalId\":8717,\"journal\":{\"name\":\"Behavior Research Methods\",\"volume\":\"57 6\",\"pages\":\"174\"},\"PeriodicalIF\":4.6000,\"publicationDate\":\"2025-05-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12089172/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Behavior Research Methods\",\"FirstCategoryId\":\"102\",\"ListUrlMain\":\"https://doi.org/10.3758/s13428-025-02699-y\",\"RegionNum\":2,\"RegionCategory\":\"心理学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"PSYCHOLOGY, EXPERIMENTAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Behavior Research Methods","FirstCategoryId":"102","ListUrlMain":"https://doi.org/10.3758/s13428-025-02699-y","RegionNum":2,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"PSYCHOLOGY, EXPERIMENTAL","Score":null,"Total":0}
引用次数: 0

摘要

认知情感地图扩展逻辑是一个软件包,包括三个工具设计的收集和分析认知情感地图(CAMs)。CAMs是一种创新的研究方法,用于识别、可视化表示和分析信念系统或任何语义知识。通过指导参与者如何绘制CAM,他们可以创建一个信念系统的视觉描述,说明他们对特定主题的态度,思想和情感联系。CAMs可以被认为是一个网络,使参与者能够自由地绘制概念,并说明情感(情感)评价和它们之间的联系。为了简化CAM研究的创建,我们首先为研究人员开发了一个管理面板,使他们能够在没有任何编码的情况下建立CAM研究。其次,为了绘制cam,开发了一个工具,让参与者有机会就特定主题创建他们自己的信念系统的视觉描述。第三,结果数据可以使用相应的数据分析应用程序进行分析,该应用程序跟踪每个分析步骤,使分析过程完全透明。作为一种省时的方法,CAMs可以用于告知探索性研究问题,如调查的概念化,或者作为一种独立的方法是有价值的。这些工具在免费的开源许可下可用。更多的信息、代码和全面的文档可以在https://drawyourminds.de上找到。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Cognitive-affective maps extended logic: Proposing tools to collect and analyze attitudes and belief systems.

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 .

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
CiteScore
10.30
自引率
9.30%
发文量
266
期刊介绍: Behavior Research Methods publishes articles concerned with the methods, techniques, and instrumentation of research in experimental psychology. The journal focuses particularly on the use of computer technology in psychological research. An annual special issue is devoted to this field.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信