Psychological research often involves understanding psychological constructs through conducting factor analysis on data collected by a questionnaire, which can comprise hundreds of questions. Without interactive systems for interpreting factor models, researchers are frequently exposed to subjectivity, potentially leading to misinterpretations or overlooked crucial information. This paper introduces FAVis, a novel interactive visualization tool designed to aid researchers in interpreting and evaluating factor analysis results. FAVis enhances the understanding of relationships between variables and factors by supporting multiple views for visualizing factor loadings and correlations, allowing users to analyze information from various perspectives. The primary feature of FAVis is to enable users to set optimal thresholds for factor loadings to balance clarity and information retention. FAVis also allows users to assign tags to variables, enhancing the understanding of factors by linking them to their associated psychological constructs. Our user study demonstrates the utility of FAVis in various tasks.

翻译：心理学研究通常涉及通过问卷收集数据并进行因子分析来理解心理构念，问卷可能包含数百个问题。由于缺乏用于解释因子模型的交互式系统，研究人员常受主观性影响，可能导致误解或忽视关键信息。本文介绍了FAVis，一种新颖的交互式可视化工具，旨在帮助研究人员解释和评估因子分析结果。FAVis通过支持因子载荷与相关性的多视图可视化，使用户能从不同角度分析信息，从而增强对变量与因子间关系的理解。FAVis的核心功能是允许用户为因子载荷设置最佳阈值，以平衡清晰度与信息保留。此外，用户可为变量添加标签，通过将其与相关心理构念关联来深化对因子的理解。我们的用户研究证明了FAVis在多种任务中的实用性。