Development of a method for ex-post identification of falsifications in survey data
Development of a method for ex-post identification of falsifications in survey data
复制标题
开发一种事后识别调查数据造假的方法
DOI：
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发表时间：
2011
期刊：
影响因子：
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通讯作者：
Christoph J. Kemper
中科院分区：
文献类型：
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作者：
P. Winker;Natalja Menold;Nina Storfinger;Christoph J. Kemper
报告了一个研究项目的结果，该项目涉及事后检测调查中的虚假数据。基于对造假动机的分析，我们开发、测试和应用多元统计方法，可用于识别调查数据中的造假行为。这些方法建立在伪造访谈的特定统计特性及其相互依赖性的基础上。访调员的分类是根据每个访调员收集的数据计算出的这些指标。在第一个探索阶段，我们确定了调查问卷的进一步属性，这些属性有助于检测访谈者是否制作了虚假数据。这些属性都是特定类型的内容，例如知识问题，以及跨多个问题的行为，例如多项目量表的可靠性。我们探讨了这些附加指标在多大程度上提高了区分潜在造假者和常规访谈者的能力。通过引导分析来分析结果对可用访谈数量的敏感性。讨论的结果涉及我们开发用于识别伪造访谈数据的数据驱动方法的方法学问题及其在实际调查的现场阶段中的潜在应用。
Results of a research project dealing with ex-post detection of falsified data in surveys are reported. Based on an analysis of the motivation for falsifications we develop, test and apply multivariate statistical methods, which can be used to identify falsifications in survey data. The methods build on specific statistical properties of falsified interviews and their interdependence. The classification of interviewers is based on these indicators calculated for the data collected by each interviewer. In a first explorative phase we identify further attributes of questionnaires which are useful to detect interviewers producing falsified data. Among those attributes are both specific type of content, e.g. knowledge questions, and behaviour across several questions, e.g. reliability in multi item scales. It is explored to what extent these additional indicators improve the capability to distinguish between potential falsifiers and regular interviewers. The sensitivity of the results with regard to the number of interviews available is analyzed by means of bootstrap analysis. The results are discussed regarding methodological issues in development of our data driven approach for identification of falsified interview data as well as its potential application already during the field phase in real surveys.