In 2022, the American Statistical Association revised its Ethical Guidelines for Statistical Practice. Originally issued in 1982, these Guidelines describe responsibilities of the 'ethical statistical practitioner' to their profession, to their research subjects, as well as to their community of practice. These guidelines are intended as a framework to assist decision-making by statisticians working across academic, research, and government environments. For the first time, the 2022 Guidelines describe the ethical obligations of organizations and institutions that use statistical practice. This paper examines alignment between the ASA Ethical Guidelines and other long-established normative guidelines for US official statistics: the OMB Statistical Policy Directives 1, 2, and 2a NASEM Principles and Practices, and the OMB Data Ethics Tenets. Our analyses ask how the recently updated ASA Ethical Guidelines can support these guidelines for federal statistics and data science. The analysis uses a form of qualitative content analysis, the alignment model, to identify patterns of alignment, and potential for tensions, within and across guidelines. The paper concludes with recommendations to policy makers when using ethical guidance to establish parameters for policy change and the administrative and technical controls that necessarily follow.

翻译：2022年，美国统计协会修订了其《统计实践伦理指南》。该指南最初于1982年发布，阐述了“伦理统计实践者”对其专业、研究对象以及实践社区的责任。这些指南旨在为在学术、研究和政府环境中工作的统计学家提供决策框架。2022年版指南首次描述了使用统计实践的机构与组织的伦理义务。本文考察了ASA伦理指南与长期确立的美国官方统计规范性指南之间的一致性，具体包括：OMB统计政策指令1、2和2a，NASEM原则与实践，以及OMB数据伦理原则。我们的分析询问了近期更新的ASA伦理指南如何能够支持这些联邦统计与数据科学指南。分析采用了一种定性内容分析方法（即一致性模型），以识别指南内部及之间的一致性模式及潜在的张力。最后，本文向政策制定者提出建议，即在使用伦理指导来确立政策变更参数及随之必然产生的行政与技术控制时应注意的事项。