Mixed-mode Surveys
Mixed-Mode Surveys is a survey methodology that integrates multiple data collection modes—such as online, telephone, mail, or in-person—within a single study to optimize response rates, reduce biases, and enhance data quality by leveraging the relative strengths of each mode.
199
Publications
19.1K
Citations
515
Authors
220
Institutions
Publications per year
2017–2026
58
Parents
199
1–5 of 199
515
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220

University of Essex
Colchester, United Kingdom
12 h-index
19 publications
891 citations
University of Michigan
Ann Arbor, United States
12 h-index
39 publications
1.2K citations
GESIS - Leibniz Institute for the Social Sciences
Mannheim, Germany
11 h-index
25 publications
1.4K citations
Utrecht University
Utrecht, The Netherlands
10 h-index
20 publications
1K citations

Washington State University
Pullman, United States
7 h-index
11 publications
3.9K citations

University of Minnesota
Minneapolis, United States
7 h-index
16 publications
665 citations
Centraal Bureau voor de Statistiek
The Hague, The Netherlands
7 h-index
18 publications
760 citations
KU Leuven
Leuven, Belgium
6 h-index
10 publications
619 citations
1–8 of 220
SSCR · 12 publications · 1.1K citations
12
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11 publications · 311 citations
11
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POQ · 11 publications · 3.1K citations
10
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10 publications · 328 citations
10
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JOS · 7 publications · 1.1K citations
7
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