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《统计实践伦理准则》。这些准则最初于1982年发布，描述了“伦理统计从业者”对其职业、研究对象以及实践社区的责任。这些准则旨在作为框架，帮助在学术、研究和政府环境中工作的统计学家进行决策。2022年准则首次阐述了使用统计实践的机构和组织的伦理义务。本文研究了ASA伦理准则与美国官方统计领域其他长期确立的规范性指南之间的一致性，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。我们的分析探讨了近期更新的ASA伦理准则如何支持这些适用于联邦统计和数据科学的指南。分析采用定性内容分析的一种形式——一致性模型，以识别各准则内部及之间的对齐模式与潜在冲突。本文最后向政策制定者提出建议，探讨在使用伦理指导制定政策变革参数及随之而来的行政和技术控制时应注意的问题。