Exploratory factor analysis (EFA) is a widely used statistical method in traffic and transportation research, particularly for the development and validation of measurement instruments. This article critically examines current practices in conducting and reporting EFA in published transportation studies. One hundred and eighty papers published between 2016 and 2018 were examined, of which eighty-two were included in the present study after applying eligibility criteria. The review suggests that the quality of EFA reported in the field is routinely poor: (a) researchers fail to provide sufficient information to be able to adequately assess the appropriateness and quality of both the input data and the reported output; and (b) the decisions underlying the choices of EFA methods are not justified and rely mostly on procedures advised against, particularly the Little-Jiffy approach. In summary, a significant gap between current practice and experts' recommendations exists. We provide some guidelines that may help in conducting, reporting and reviewing EFA in transportation research.

探索性因子分析（EFA）是交通和运输研究中广泛使用的统计方法，尤其是用于开发和验证测量仪器。本文批判性地研究了已发表的运输研究中进行和报告全民教育的当前实践。审查了2016年至2018年之间发表的180篇论文，其中应用资格标准后将82篇纳入本研究。审查表明，实地报告的全民教育质量通常较差：（a）研究人员未能提供足够的信息，无法充分评估输入数据和报告输出的适当性和质量；（b）选择全民教育方法所依据的决定是不合理的，并且主要依赖于建议采取的程序，特别是Little-Jiffy方法。总而言之，当前的做法与专家的建议之间存在巨大差距。我们提供了一些指南，可能有助于进行，报告和审查交通运输研究中的全民教育。