Haphazard Sampling

Haphazard Sampling is a non-random selection method within audit sampling where sampling units are chosen without systematic bias or predetermined structure, relying on the auditor’s judgment to approximate randomness while avoiding known patterns or systematic exclusion.

19

Publications

983

Citations

67

Authors

30

Institutions

Publications per year

2017–2026

3

Authors

67

  1. BJ
    Bethane Jo Pierce

    The University of Texas at Arlington, United States

    3 publications · 46 citations

    3

    h-index

  2. TW
    Thomas W. Hall

    The University of Texas at Arlington, United States

    3 publications · 46 citations

    3

    h-index

  3. KH
    Kenneth H. Price

    The University of Texas at Arlington, United States

    2 publications · 23 citations

    2

    h-index

  4. CJ
    Christopher J. Skousen

    Utah State University, United States

    2 publications · 23 citations

    2

    h-index

  5. AH
    Andrew Higson

    Loughborough University, United Kingdom

    2 publications · 23 citations

    2

    h-index

1–5 of 67

Venues

  1. PubMed

    Repository · 2 publications · 306 citations

    2

    h-index

  2. Journal of Personality and Social Psychology

    2 publications · 137 citations

    2

    h-index

  3. Ecography

    2 publications · 79 citations

    2

    h-index

  4. 1

    h-index

  5. Biotropica

    1 publications · 33 citations

    1

    h-index

1–5