Respondent incentives in social surveys: an overview of recent experiences and findings

Respondent incentives are an element of survey methodology that are shown to impact response rates and selected aspects of survey quality. They are becoming more and more commonly used to counteract the growing reluctance of individuals to respond to surveys. There are different types of incentives, including monetary and non-monetary and conditional or unconditional ones (provided only if a person takes part in the survey or regardless of the person’s participation, respectively). The monetary value of the incentive may also differ depending on the survey’s budget, and the individual needs and expectations of a respondent. It was proven that different incentives have various effects, but there is no single and optimal recommendation as to which type of incentive should be used. The results depend not only on the incentives themselves, but also on such survey characteristics as the topic, survey mode, target population, the length of the survey or the time when the fieldwork was conducted. The aim of the article is to review the general state of knowledge about the above-mentioned aspects concerning the use of incentives in social surveys, both in cross-sectional and longitudinal studies. Special attention is paid to the effects of incentives on the response rate, the quality of answers and the sample composition. Additionally, ethical considerations and Polish experiences in the use of incentives are discussed. This article may help survey methodologists in deciding on the optimal type and way of using respondent incentives.

Authors

Publication Details

Journal
Wiadomości Statystyczne The Polish Statistician
Published
2025-02-28
DOI
https://doi.org/10.59139/ws.2025.02.3
Citations
1
Primary Topic
Urban, Neighborhood, and Segregation Studies
Type
article
Field-Weighted Citation Impact
4.20

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Respondent incentives in social surveys: an overview of recent experiences and findings

Maja Rynko
1 citations
Wiadomości Statystyczne The Polish Statistician
Urban, Neighborhood, and Segregation Studies
4.20
article

Respondent incentives in social surveys: an overview of recent experiences and findings

Maja Rynko
article en
1 citations

Abstract

Respondent incentives are an element of survey methodology that are shown to impact response rates and selected aspects of survey quality. They are becoming more and more commonly used to counteract the growing reluctance of individuals to respond to surveys. There are different types of incentives, including monetary and non-monetary and conditional or unconditional ones (provided only if a person takes part in the survey or regardless of the person’s participation, respectively). The monetary value of the incentive may also differ depending on the survey’s budget, and the individual needs and expectations of a respondent. It was proven that different incentives have various effects, but there is no single and optimal recommendation as to which type of incentive should be used. The results depend not only on the incentives themselves, but also on such survey characteristics as the topic, survey mode, target population, the length of the survey or the time when the fieldwork was conducted. The aim of the article is to review the general state of knowledge about the above-mentioned aspects concerning the use of incentives in social surveys, both in cross-sectional and longitudinal studies. Special attention is paid to the effects of incentives on the response rate, the quality of answers and the sample composition. Additionally, ethical considerations and Polish experiences in the use of incentives are discussed. This article may help survey methodologists in deciding on the optimal type and way of using respondent incentives.

Wiadomości Statystyczne The Polish StatisticianVol. 70(2)
Szkoła Główna Handlowa w Warszawie
Openalex Percentile: Top 9%
Urban, Neighborhood, and Segregation Studies
4.20
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.