Department of Industrial & Systems Engineering, University of Wisconsin-Madison, Madison, WI, USA.
Department of Educational Psychology and Wisconsin Center for Education Research, University of Wisconsin-Madison, Madison, WI, USA.
Ergonomics. 2022 Oct;65(10):1434-1449. doi: 10.1080/00140139.2022.2051609. Epub 2022 Mar 21.
Studying interactions faces methodological challenges and existing methods, such as configural diagramming, have limitations. This work demonstrates Epistemic Network Analysis (ENA) as an analytical method to construct configural diagrams. We demonstrated ENA as an analytical tool by applying this method to study dementia caregiver work systems. We conducted 20 semi-structured interviews with caregivers to collect caregiving experiences. Guided by the Patient Work System model, we conducted a directed content analysis to identify work system components and used ENA to study interactions between components. By using ENA to create configural diagrams, we identified five frequently occurring interactions, compared work system configurations of caregivers providing care at home and away from home. Although we were underpowered to determine statistically significant differences, we identified visual and qualitative differences. Our results demonstrate the capability of ENA as an analytical method for studying work system interactions through configural diagramming. A new methodology, Epistemic Network Analysis (ENA), was presented to better support the study of work system interactions through configural diagramming. ENA was applied to qualitative data to demonstrate the capabilities of this method to construct configural diagrams of the work system. This study successfully demonstrated that ENA can visually represent and describe work system configurations.
研究交互作用面临着方法学上的挑战，现有的方法，如构形图法，存在局限性。这项工作展示了认知网络分析（ENA）作为一种构建构形图的分析方法。我们通过将该方法应用于痴呆症护理人员工作系统的研究，展示了 ENA 作为一种分析工具的作用。我们对 20 名护理人员进行了半结构化访谈，以收集护理经验。我们以患者工作系统模型为指导，进行了有针对性的内容分析，以确定工作系统组件，并使用 ENA 研究组件之间的相互作用。通过使用 ENA 创建构形图，我们确定了五种经常出现的相互作用，比较了在家和离家提供护理的护理人员的工作系统配置。尽管我们的统计能力不足，无法确定具有统计学意义的差异，但我们确定了视觉和定性差异。我们的结果证明了 ENA 作为一种通过构形图研究工作系统相互作用的分析方法的能力。提出了一种新的方法学，即认知网络分析（ENA），以更好地支持通过构形图研究工作系统相互作用。ENA 被应用于定性数据，以展示该方法构建工作系统构形图的能力。这项研究成功地证明了 ENA 可以直观地表示和描述工作系统的配置。
