| Constructs/concepts | Corresponding indicators (survey measures) | Data Collection Waves |
|---|---|---|
| Survey Motivation | Im Folgenden möchten wir wissen, aus welchen Gründen Sie an Umfragen teilnehmen. Inwieweit treffen die folgenden Aussagen auf Sie zu? Ich nehme an Umfragen teil, ... R:
R:
Q: ... weil es mir wichtig ist, die Wissenschaft zu unterstützen. R:
R:
Q: ... weil es mir wichtig ist, meine Meinung zu sagen. R:
R:
Q: ... weil ich eine Prämie oder eine Belohnung für meine Teilnahme bekomme. R:
R:
Q: ... weil mir die Teilnahme an Umfragen Spaß macht. R:
R:
|
ka |
ad: Survey Motivation - Motivation to Participate in Online Surveys
Study Code
ad
Version and date of last revision
Version 1; October 16, 2025
Study Title
Survey Motivation - Motivation to Participate in Online Surveys
Subject Classification
survey motivation
Keywords
survey motivation, survey attitude, online panel, participant characteristics, survey climate
Data Collection Waves
ka
Principal Investigators
Name(s) and affiliations of principal investigators at time of submission |
Persistent digital identifier(s) of principal investigator(s) |
|---|---|
| Anna Hebel, GESIS - Leibniz Institute for the Social Sciences | https://orcid.org/0009-0001-5018-8588 |
Abstract
The steady decline in response rates for large-scale surveys has intensified the need to understand the factors driving individuals to participate. This study focuses on examining the survey motivation of respondents recruited via social media platforms, an increasingly popular yet understudied sampling method. By adapting the Survey Participation Inventory (SPI) to the unique characteristics of this sample, we aim to gain a deeper understanding of the specific motivational drivers that sustain participation rates in this context.
The SPI originally identifies eight distinct survey motivations. However, through a preliminary analysis tailored to the social media-recruited sample, we found that only five of these motivations were particularly relevant: giving opinions, receiving incentives, helping society, enjoying the survey process, and contributing to scientific research. This refined approach not only enhances the accuracy of our findings but also allows us to focus on the most impactful motivational factors within this demographic.
Moreover, the study expands on the traditional SPI framework by incorporating distinctions between motivations related to helping society and those related to contributing to science, as highlighted in the recent work of Haensch et al. (2022). This nuanced differentiation provides deeper insights into how social media users perceive their role in societal and scientific endeavors, potentially informing more targeted and effective strategies for survey engagement.