An Automated Refusal Conversion Strategy for Web Surveys

Autor/inn/en	Lewis, Taylor; Gorsak, Mark; Yount, Naomi
Titel	An Automated Refusal Conversion Strategy for Web Surveys
Quelle	In: Field Methods, 31 (2019) 4, S.309-327 (19 Seiten) PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	1525-822X
DOI	10.1177/1525822X19871016
Schlagwörter	Online Surveys; Government Employees; Federal Government; Automation; Electronic Mail; Participation; Persuasive Discourse; Employee Attitudes; Organizational Climate; Response Rates (Questionnaires); Resistance (Psychology) + Suchen Sie Ihr Suchwort? Bundesregierung; Elektronischer Briefkasten; Teilnahme; Persuasion; Persuasive Kommunikation; Arbeitnehmerinteresse; Organisationsklima; Antwortkontrolle; Resistenz
Abstract	This article presents results from an experiment conducted during the web-based 2017 Federal Employee Viewpoint Survey (FEVS) to evaluate an automated refusal conversion strategy whereby a sample of individuals was given the opportunity to opt out from the survey and stop receiving additional e-mail reminders. Before being added to the unsubscribe list, however, the individual was asked to cite the primary reason for choosing not to take the FEVS. A randomly assigned subset was given a last-moment appeal, tailored to the reason provided, at which point the individual could either confirm desiring to opt out or navigate to the start of the survey. Because the complementary subset did not receive the appeal, we are able to report on the efficacy of the strategy in convincing individuals who may not have been initially inclined to participate to do so. (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2020/1/01