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Investigating Multiple Household Water Sources and Uses with a Computer-Assisted Personal Interviewing (CAPI) Survey

机译:通过计算机辅助的个人访谈(CAPI)调查调查多种家庭的水源和用途

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The investigation of multiple sources in household water management is considered overly complicated and time consuming using paper and pen interviewing (PAPI). We assess the advantages of computer-assisted personal interviewing (CAPI) in Pacific Island Countries (PICs). We adapted an existing PAPI survey on multiple water sources and expanded it to incorporate location of water use and the impacts of extreme weather events using SurveyCTO on Android tablets. We then compared the efficiency and accuracy of data collection using the PAPI version ( n = 44) with the CAPI version ( n = 291), including interview duration, error rate and trends in interview duration with enumerator experience. CAPI surveys facilitated high-quality data collection and were an average of 15.2 min faster than PAPI. CAPI survey duration decreased by 0.55% per survey delivered ( p < 0.0001), whilst embedded skip patterns and answer lists lowered data entry error rates, relative to PAPI ( p < 0.0001). Large-scale household surveys commonly used in global monitoring and evaluation do not differentiate multiple water sources and uses. CAPI equips water researchers with a quick and reliable tool to address these knowledge gaps and advance our understanding of development research priorities.
机译:使用纸笔访谈(PAPI),对家庭用水管理中多种来源的调查被认为过于复杂且耗时。我们评估了太平洋岛国(PIC)中的计算机辅助个人面试(CAPI)的优势。我们改编了针对多种水源的现有PAPI调查,并使用Android Tablet上的SurveyCTO将其扩展为合并用水的位置和极端天气事件的影响。然后,我们比较了使用PAPI版本(n = 44)和CAPI版本(n = 291)进行数据收集的效率和准确性,包括访问时间,错误率以及具有枚举者经验的访问时间趋势。 CAPI调查促进了高质量的数据收集,平均比PAPI快15.2分钟。每次交付的调查,CAPI调查持续时间减少了0.55%(p <0.0001),而嵌入式跳过模式和答案列表则相对于PAPI降低了数据输入错误率(p <0.0001)。全球监测和评估中通常使用的大规模家庭调查不会区分多种水源和用途。 CAPI为水研究人员提供了一种快速可靠的工具,可以解决这些知识差距并加深我们对发展研究重点的理解。

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