进行小规模多方法问卷评估

Heather Ridolfo, Ashley Thompson
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引用次数: 0

摘要

当预测调查问卷时,使用多方法方法有好处。然而,使用多种方法可能成本过高。2021年,国家农业统计局(NASS)收到了利益攸关方关于农业调查和粮食库存报告中重复计算粮食库存的反馈意见。这两项调查的数据用于制作谷物库存出版物,这是联邦经济指标的主要出版物。为了解决利益相关者的反馈,NASS在有限的资源下,在短时间内评估了这两个多模式调查。尽管存在这些局限性,NASS还是利用专家评审、认知测试、可用性测试和行为编码来评估这两份调查问卷。本文证明了多方法预测试可以在低成本、小规模的基础上有效地完成。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Conducting Small-Scale Multimethod Questionnaire Evaluation
When pretesting survey questionnaires, there are benefits to using a multimethod approach. However, using multiple methods can be cost prohibitive. In 2021, the National Agricultural Statistics Service (NASS) received feedback from stakeholders regarding concerns about double counting of grain stocks in the Agricultural Survey and the Grain Stocks Report. Data from these two surveys are used to produce the Grain Stocks publication, which is a principal Federal Economic Indicator publication. To address stakeholder feedback, NASS evaluated these two multimode surveys, in a short timeframe, with limited resources. Despite these limitations, NASS utilized expert review, cognitive testing, usability testing and behavior coding to evaluate these two survey questionnaires. This paper demonstrates that multimethod pretesting can be done effectively on a low-cost, small-scale basis.
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