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Commodity Flow Survey Improving Methods to Enhance Data Quality and Usefulness

机译:商品流量调查改进了提高数据质量和有用性的方法

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The CFS methodology can and should be improved. Evaluation of the methodological changes implemented prior to the 1997 CFS indicated that these were successful in providing a more efficient sample design, lessening respondent burden, and improving timeliness of data products. In the past 10 years, survey methodology has benefited from many research-based improvements in sample design, instrument design, data collection, and nonresponse mitigation. For various reasons, the CFS has not taken advantage of such methodological improvements. It is time to do so. This paper has discussed current issues, challenges, and survey considerations that are relevant to the CFS. It underscores the need for a continuous research and evaluation plan that would enable BTS and the Census Bureau to stay abreast of methodological enhancements, as well as real changes in freight transportation, mat impact CFS data quality and usefulness. Such a research plan could provide an increased understanding of the response process and respondent burden toincrease response rates, alleviate privacy and confidentiality concerns, improve data quality, etc., for establishment surveys. This is an area in which not enough research is currently taking place. The issues discussed in this paper also draw attention to the value that ongoing dialogue with data users and stakeholders provides. Not only do these persons bring substantive expertise on tough decisions such as whether or not to change the way shipments are sampled, but also their input helps to ensure methods employed are providing data of most importance and utility.
机译:CFS方法可以且应该改进。评估1997年CFS前实施的方法论变更表明,这些在提供了更有效的样本设计,减少了受访者负担以及改善数据产品的及时性方面。在过去的10年中,调查方法从样品设计,仪器设计,数据收集和非响应缓解中受益于许多基于研究的改进。由于各种原因,CFS没有利用此类方法改进。是时候这样做了。本文讨论了与CFS相关的当前问题,挑战和调查考虑因素。它强调了对持续的研究和评估计划的需求,这些计划将使BTS和人口普查局及时了解方法,以及货运运输的真正变化,席克会影响CFS数据质量和有用性。这样的研究计划可以提高对响应过程和受访者负担的增加的理解,致电率,缓解隐私和机密性问题,提高数据质量等,用于建立调查。这是一个没有足够的研究目前正在进行的领域。本文讨论的问题还提请注意与数据用户和利益相关者提供的持续对话的价值。这些人不仅会提出对艰难决策的实质性专业知识,例如是否改变了运往的方式被取样,而且他们的意见有助于确保所采用的方法提供最重要和公用事业的数据。

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