Nonprobability Sampling

Nonprobability Sampling is a sampling technique in which the selection of elements from a population is determined by factors other than random chance, precluding the possibility of calculating precise probabilities for inclusion.

345

Publications

36.4K

Citations

1.2K

Authors

467

Institutions

Publications per year

2017–2026

156

Variants

Non-probability Sampling

Authors

1.2K

  1. MP
    Mick P. Couper

    University of Michigan, United States

    5 publications · 1.2K citations

    5

    h-index

  2. JA
    Jon A. Krosnick

    Stanford University, United States

    5 publications · 1.5K citations

    5

    h-index

  3. GB
    Graham B. Spanier

    Pennsylvania State University, United States

    4 publications · 224 citations

    4

    h-index

  4. AM
    Aaron M. Scherer

    University of Iowa, United States

    4 publications · 229 citations

    4

    h-index

  5. İE
    İlker Etikan

    Near East University, Cyprus

    4 publications · 12K citations

    4

    h-index

1–5 of 1.2K

Venues

  1. PubMed

    Repository · 17 publications · 757 citations

    13

    h-index

  2. JAMA Network Open

    6 publications · 1K citations

    6

    h-index

  3. Public Opinion Quarterly

    POQ · 5 publications · 1.4K citations

    5

    h-index

  4. Biometrics & Biostatistics International Journal

    BBIJ · 4 publications · 1.4K citations

    4

    h-index

  5. Social Science Computer Review

    SSCR · 4 publications · 163 citations

    4

    h-index

1–5