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

Authors

515

  1. PL
    Peter Lynn

    University of Essex, United Kingdom

    11 publications · 483 citations

    11

    h-index

  2. DA
    Don A. Dillman

    Washington State University, United States

    10 publications · 2.6K citations

    10

    h-index

  3. MP
    Mick P. Couper

    University of Michigan, United States

    9 publications · 747 citations

    9

    h-index

  4. BS
    Barry Schouten

    Centraal Bureau voor de Statistiek, Netherlands

    6 publications · 290 citations

    6

    h-index

  5. JJ
    Joop J. Hox

    Utrecht University, Netherlands

    6 publications · 330 citations

    6

    h-index

1–5 of 515

Venues

  1. Social Science Computer Review

    SSCR · 12 publications · 1.1K citations

    12

    h-index

  2. Journal of Survey Statistics and Methodology

    11 publications · 311 citations

    11

    h-index

  3. Public Opinion Quarterly

    POQ · 11 publications · 3.1K citations

    10

    h-index

  4. Survey Practice

    10 publications · 328 citations

    10

    h-index

  5. Journal of Official Statistics

    JOS · 7 publications · 1.1K citations

    7

    h-index

1–5