학술논문

Interviewer falsification: Current and best practices for prevention, detection, and mitigation.
Document Type
Article
Source
Statistical Journal of the IAOS. 2016, Vol. 32 Issue 3, p313-326. 14p.
Subject
*FALSIFICATION
*INTERVIEWERS
*SURVEYS
*STATISTICAL sampling
*STATISTICAL errors
Language
ISSN
1874-7655
Abstract
This article summarizes the findings of a comprehensive review of current best practices for detecting and preventing interviewer falsification and provides recommendations for mitigating and repairing interviewer errors for surveys of the future. We discuss the potential for interviewer errors and how to avoid them through training, monitoring, verification and remediation strategies. We summarize practices used by a small sample of major survey organizations and offer some insights in terms of best practices and provide recommendations for current and potential future practices for the detection and prevention of interviewer falsification. In particular, we describe what we believe is a state-of-the-art program for interviewer falsification mitigation, including a proposed path forward in the areas of metrics and management. [ABSTRACT FROM AUTHOR]