智能手机日记在家庭调查中的应用:大规模数据收集中高频时间数据的集成

IF 1.1 3区 社会学 Q2 ANTHROPOLOGY Field Methods Pub Date : 2023-08-16 DOI:10.1177/1525822x231195525
P. Premkumar, S. Ganesan, Balaji Pandiyan, Dhivyatharani Krishnamoorthy, G. Kang
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引用次数: 0

摘要

家庭支出数据是衡量生活水平、不平等和预防疾病的财政保护的核心。目前,它主要来源于基于召回的调查,这些调查耗时且容易出现测量误差。日记经常被用作一种替代方法,但这会导致疲劳和低依从性。基于智能手机的日记可以克服其中的许多挑战,但目前还不知道如何使用这种方法,以及它与家庭调查数据的关系。这项研究评估了一款基于智能手机的日记应用程序,用于收集日常家庭支出,并将数据与家庭调查数据进行了比较。结果表明,基于智能手机的日记应用程序可以用于优化或补充传统调查指标的信息。
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Smartphone Diary Application in Household Surveys: Integration of High Frequency Temporal Data in Large-scale Data Collection
Household expenditure data is at the core of efforts to measure living standards, inequality and financial protection against illness. Currently it is mainly derived from recall-based surveys that are time consuming and prone to measurement errors. Diaries are often used as an alternative approach, however this results in fatigue and low compliance. Smartphone- based diaries could overcome many of these challenges, but it is yet unknown how this approach could be used and its relationship with data from the household surveys. This study evaluated a smartphone-based diary application for collecting daily household expenditures and compared data with that of household surveys. Results show that smartphone-based diary applications could be used to optimize or complement the information from conventional survey-based indicators.
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来源期刊
Field Methods
Field Methods Multiple-
CiteScore
2.70
自引率
5.90%
发文量
41
期刊介绍: Field Methods (formerly Cultural Anthropology Methods) is devoted to articles about the methods used by field wzorkers in the social and behavioral sciences and humanities for the collection, management, and analysis data about human thought and/or human behavior in the natural world. Articles should focus on innovations and issues in the methods used, rather than on the reporting of research or theoretical/epistemological questions about research. High-quality articles using qualitative and quantitative methods-- from scientific or interpretative traditions-- dealing with data collection and analysis in applied and scholarly research from writers in the social sciences, humanities, and related professions are all welcome in the pages of the journal.
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