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https://doi.org/10.13094/SMIF-2020-00011

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Assessing Nonresponse Bias by Permitting Individuals to Opt Out of a Survey

[journal article]

Lewis, Taylor

Abstract

The Federal Employee Viewpoint Survey (FEVS) is a Web-based organizational climate survey administered annually by the U.S. Office of Personnel Management. The survey targets full- or part-time, permanently employed civilian personnel from more than 80 U.S. government agencies. Despite increases i... view more

The Federal Employee Viewpoint Survey (FEVS) is a Web-based organizational climate survey administered annually by the U.S. Office of Personnel Management. The survey targets full- or part-time, permanently employed civilian personnel from more than 80 U.S. government agencies. Despite increases in the scope, publicity, and uses of FEVS data, its response rate has gradually declined over time. In an effort to gauge the causes for nonresponse, this paper discusses results from an experiment fielded during the 2017 FEVS in which a portion of sampled individuals was given the opportunity to opt out from the survey. Before effectively being added to the “unsubscribe” list, however, the individual was asked to cite the primary reason for choosing not to take the FEVS. Using auxiliary information from the sampling frame, this article argues that inferences based on this item are valuable because opters out are generally representative of the larger pool of nonrespondents.... view less

Keywords
response behavior; online survey; Internet; survey research; United States of America; experiment

Classification
Methods and Techniques of Data Collection and Data Analysis, Statistical Methods, Computer Methods

Free Keywords
Nonresponse; nonresponse bias; unit nonresponse; web survey; Federal Employee Viewpoint Survey; FEVS

Document language
English

Publication Year
2020

Page/Pages
p. 1-8

Journal
Survey Methods: Insights from the Field (2020)

ISSN
2296-4754

Status
Published Version; peer reviewed

Licence
Creative Commons - Attribution 4.0


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Home  |  Legal notices  |  Operational concept  |  Privacy policy
© 2007 - 2025 Social Science Open Access Repository (SSOAR).
Based on DSpace, Copyright (c) 2002-2022, DuraSpace. All rights reserved.