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Enhancing Participation in Probability-Based Online Panels: Two Incentive Experiments and their Effects on Response and Panel Recruitment
Witte, Nils; Schröder, Jette; Schauer, Ines et al.
2021
 

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Abstract :
[en] This article investigates how mail based online panel recruitment can be facilitated through incentives. The analysis relies on two incentive experiments and their effects on panel recruitment and the intermediate participation in the recruitment survey. The experiments were implemented in the context of the German Emigration and Remigration Panel Study and encompass two samples of randomly sampled persons. Tested incentives include a conditional lottery, conditional monetary incentives, and the combination of unconditional money-in-hand with conditional monetary incentives. For an encompassing evaluation of the link between incentives and panel recruitment, the article further assesses the incentives’ implications for demographic composition and panel recruitment unit costs. Multivariate analysis indicates that low combined incentives (€5/€5) or, where unconditional disbursement is unfeasible, high conditional incentives (€20) are most effective in enhancing panel participation. In terms of demographic bias, low combined incentives (€5/€5) and €10 conditional incentives are the favored options. The budget options from the perspective of panel recruitment include the lottery and the €10 conditional incentive which break even at net sample sizes of 1,000.
Disciplines :
Sociology & social sciences
Author, co-author :
Witte, Nils
Schröder, Jette
Schauer, Ines
Decieux, Jean Philippe Pierre ;  University of Luxembourg > Faculty of Language and Literature, Humanities, Arts and Education (FLSHASE) > Integrative Research Unit: Social and Individual Development (INSIDE)
Ette, Andreas
Language :
English
Title :
Enhancing Participation in Probability-Based Online Panels: Two Incentive Experiments and their Effects on Response and Panel Recruitment
Publication date :
2021
Publisher :
SocArXiv Papers
Edition :
Preprints
Available on ORBilu :
since 23 November 2021

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