Using statistical models for sample design of a reinterview program

Jiangzhu Li; Michael Brick; Back Tran; Phyllis Singer

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Using statistical models for sample design of a reinterview program

机译：使用统计模型进行重新访谈程序的样本设计

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Purpose: To design a reinterview sample in order to identify more falsifications so that the evaluation of interviewers may be more effective. Summary: Falsification can be defined as fabrication of information practiced method to identify falsification. Since falsified data are few and the subsample sizes are small reinterviewing often fail to identify falsifications. Questionnaire design or survey administration procedure is found to influence the interviewers to falsify the data. Though many studies have attempted to understand the nature and the reasons of falsification, their scope is limited to the specific case dealt with in the study. This article proposes a sample design modeling which is more general in nature and has a higher degree of identifying falsified data.

机译：目的：设计一个重新访谈样本，以识别更多的虚假事实，以便对访问员进行评估。简介：伪造可以定义为识别伪造的信息实践方法的制造。由于伪造的数据很少且子样本量很小，因此重新访谈通常无法识别伪造。调查表设计或调查管理程序被发现会影响访问员伪造数据。尽管许多研究试图了解伪造的性质和原因，但其范围仅限于研究中处理的具体案例。本文提出了一个样本设计模型，该模型本质上更为通用，并且具有较高的识别伪造数据的程度。

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《Quality Control and Applied Statistics》 |2013年第2期|共3页
作者
Jiangzhu Li; Michael Brick; Back Tran; Phyllis Singer;
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Using statistical models for sample design of a reinterview program

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