SSOAR Logo
    • Deutsch
    • English
  • English 
    • Deutsch
    • English
  • Login
SSOAR ▼
  • Home
  • About SSOAR
  • Guidelines
  • Publishing in SSOAR
  • Cooperating with SSOAR
    • Cooperation models
    • Delivery routes and formats
    • Projects
  • Cooperation partners
    • Information about cooperation partners
  • Information
    • Possibilities of taking the Green Road
    • Grant of Licences
    • Download additional information
  • Operational concept
Browse and search Add new document OAI-PMH interface
JavaScript is disabled for your browser. Some features of this site may not work without it.

Download PDF
Download full text

(975.4Kb)

Citation Suggestion

Please use the following Persistent Identifier (PID) to cite this document:
https://nbn-resolving.org/urn:nbn:de:0168-ssoar-83220-8

Exports for your reference manager

Bibtex export
Endnote export

Display Statistics
Share
  • Share via E-Mail E-Mail
  • Share via Facebook Facebook
  • Share via Bluesky Bluesky
  • Share via Reddit reddit
  • Share via Linkedin LinkedIn
  • Share via XING XING

What about the Less IT Literate? A Comparison of Different Postal Recruitment Strategies to an Online Panel of the General Population

[journal article]

Felderer, Barbara
Herzing, Jessica M. E.

Abstract

Even though the proportion of individuals who are not equipped to participate in online surveys is constantly decreasing, many surveys face an under-representation of individuals who do not feel IT literate enough to participate. Using experimental data from a probability-based online panel, we stud... view more

Even though the proportion of individuals who are not equipped to participate in online surveys is constantly decreasing, many surveys face an under-representation of individuals who do not feel IT literate enough to participate. Using experimental data from a probability-based online panel, we study which recruitment survey mode strategy performs best in recruiting less IT-literate persons for an online panel. The sampled individuals received postal invitations to conduct the recruitment survey in a self-completion mode. We experimentally vary four recruitment survey mode strategies: one online mode strategy, two sequential mixed-mode strategies, and one concurrent mode strategy. We find the recruitment survey mode strategies to have a major effect on the sample composition of the recruitment survey, but the differences between the strategies vanish once respondents are asked to proceed with the panel online.... view less


Obwohl der Anteil der Personen, die nicht in der Lage sind, an Online-Umfragen teilzunehmen, ständig abnimmt, sind bei vielen Umfragen Personen unterrepräsentiert, die sich nicht ausreichend IT-kompetent fühlen, um teilzunehmen. Anhand von experimentellen Daten aus einem wahrscheinlichkeitsbasierten... view more

Obwohl der Anteil der Personen, die nicht in der Lage sind, an Online-Umfragen teilzunehmen, ständig abnimmt, sind bei vielen Umfragen Personen unterrepräsentiert, die sich nicht ausreichend IT-kompetent fühlen, um teilzunehmen. Anhand von experimentellen Daten aus einem wahrscheinlichkeitsbasierten Online-Panel untersuchen die Autor*innen, welche Strategie der Rekrutierungsbefragung am besten geeignet ist, um weniger IT-kundige Personen für ein Online-Panel zu rekrutieren. Die in die Stichprobe aufgenommenen Personen erhielten postalische Einladungen zur Durchführung der Rekrutierungsumfrage im Selbstausfüllungsmodus.... view less

Keywords
competence; information technology; sample; online survey; survey research

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

Document language
English

Publication Year
2023

Page/Pages
p. 219-235

Journal
Field Methods, 35 (2023) 3

DOI
https://doi.org/10.1177/1525822X221132940

ISSN
1552-3969

Status
Published Version; peer reviewed

Licence
Creative Commons - Attribution 4.0

FundingGefördert durch die Deutsche Forschungsgemeinschaft (DFG) - Projektnummer 491156185 / Funded by the German Research Foundation (DFG) - Project number 491156185


GESIS LogoDFG LogoOpen Access Logo
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.
 

 


GESIS LogoDFG LogoOpen Access Logo
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.