Missing Data In Surveys

Missing Data in Surveys is a methodological construct in survey research that specifically addresses the absence of responses from sampled individuals, distinguishing itself by focusing on the mechanisms, patterns, and implications of nonresponse within structured data collection instruments.

814

Publications

71.8K

Citations

1.8K

Authors

687

Institutions

Publications per year

2017–2026

138

Authors

1.8K

  1. RJ
    Roderick J. A. Little

    University of Michigan, United States

    11 publications · 1.8K citations

    11

    h-index

  2. DB
    Donald B. Rubin

    Harvard University, United States

    10 publications · 4.6K citations

    10

    h-index

  3. FK
    Frauke Kreuter

    University of Maryland, College Park, United States

    10 publications · 615 citations

    10

    h-index

  4. RM
    Robert M. Groves

    University of Michigan, United States

    9 publications · 4.7K citations

    9

    h-index

  5. RT
    Roger Tourangeau

    University of Michigan, United States

    9 publications · 418 citations

    9

    h-index

1–5 of 1.8K

Venues

  1. Journal of the American Statistical Association

    49 publications · 5.4K citations

    29

    h-index

  2. Public Opinion Quarterly

    POQ · 30 publications · 6.8K citations

    26

    h-index

  3. Journal of Official Statistics

    JOS · 16 publications · 730 citations

    15

    h-index

  4. 14

    h-index

  5. PubMed

    Repository · 14 publications · 638 citations

    13

    h-index

1–5