• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Energy Efficiency >Assessment of household appliance surveys collected with Amazon Mechanical Turk
【24h】

Assessment of household appliance surveys collected with Amazon Mechanical Turk

机译：使用Amazon Mechanical Turk收集的家用电器调查评估

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Energy researchers need data on residential appliances to make effective recommendations for reducing energy consumption. For some products, however, traditional data sources do not have sufficient detail. Online surveys can provide a less expensive alternative for data collection, but the accuracy of these surveys is still unclear. Here, we compare the results of Amazon Mechanical Turk online surveys of refrigerators, freezers, televisions, and ceiling fans to the nationwide Residential Energy Consumption Survey (RECS) deployed by the US Energy Information Administration. To account for differences in demographic distributions between the online survey results and the general population, we weighted the results using standard cell weighting and raking techniques, as well as a combination of these, termed “hybrid.” The weighted results gave a distribution of product ownership that was reasonably close to RECS, albeit with small, statistically significant differences in some cases. The cell weighting method provided a slightly better agreement with RECS than the other two approaches. We recommend online surveys as an efficient and cost-effective way of gathering in-home use data on appliances that are not adequately covered by existing data sources.
机译：能源研究人员需要有关家用电器的数据，以提出有效的建议以减少能耗。但是，对于某些产品，传统数据源没有足够的详细信息。在线调查可以为数据收集提供一种更便宜的替代方法，但是这些调查的准确性仍然不清楚。在这里，我们将Amazon Mechanical Turk对冰箱，冰柜，电视和吊扇的在线调查结果与美国能源信息管理局部署的全国范围居民能源消耗调查（RECS）进行了比较。为了解决在线调查结果与一般人群之间的人口统计学差异，我们使用标准的单元加权和耙技术以及这些方法的组合（称为“混合”）对结果进行加权。加权结果给出的产品所有权分布相当接近RECS，尽管在某些情况下差异很小，但在统计上有显着差异。与其他两种方法相比，信元加权方法与RECS的一致性更好。我们建议将在线调查作为一种有效且具有成本效益的方式，以收集现有数据源未充分涵盖的家用电器的家庭使用数据。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号