Sampling Techniques

Sampling Techniques is a methodological framework in communication research that systematically selects subsets of a population to ensure representative data collection and valid inference in empirical studies.

5.7K

Publications

618.4K

Citations

11.8K

Authors

3.1K

Institutions

Publications per year

2017–2026

1.1K

Authors

11.8K

  1. MP
    Mick P. Couper

    University of Michigan, United States

    34 publications · 5.1K citations

    26

    h-index

  2. DA
    Don A. Dillman

    Washington State University, United States

    32 publications · 20.4K citations

    25

    h-index

  3. RM
    Robert M. Groves

    University of Michigan, United States

    26 publications · 4.5K citations

    22

    h-index

  4. LG
    Lisa G. Johnston

    Tulane University, United States

    23 publications · 2.5K citations

    20

    h-index

  5. PL
    Peter Lynn

    University of Essex, United Kingdom

    25 publications · 1.3K citations

    18

    h-index

1–5 of 11.8K

Venues

  1. Public Opinion Quarterly

    POQ · 227 publications · 29.4K citations

    81

    h-index

  2. Journal of the American Statistical Association

    168 publications · 30.4K citations

    60

    h-index

  3. Journal of Marketing Research

    83 publications · 8.9K citations

    42

    h-index

  4. Social Science Computer Review

    SSCR · 75 publications · 5.3K citations

    41

    h-index

  5. Technometrics

    65 publications · 28.8K citations

    33

    h-index

1–5