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对问卷收集的数据进行因子分析来理解心理构念，这些问卷可能包含数百个问题。在没有交互式系统来解释因子模型的情况下，研究者常常面临主观性影响，可能导致误解或遗漏关键信息。本文介绍了FAVis，一种新颖的交互式可视化工具，旨在帮助研究者解释和评估因子分析结果。FAVis通过支持多视图可视化因子载荷和相关性，使用户能够从不同角度分析信息，从而增强对变量与因子之间关系的理解。FAVis的主要功能是允许用户为因子载荷设置最佳阈值，以平衡清晰度和信息保留。FAVis还允许用户为变量分配标签，通过将因子与其相关的心理构念联系起来，增强对因子的理解。我们的用户研究证明了FAVis在各种任务中的实用性。