Enumerator Bias

Enumerator Bias is a systematic error in data collection arising from an enumerator’s conscious or unconscious influence on respondents or recording processes, distinguishing it from other measurement errors by its origin in the interaction between the data collector and the socio-contextual dynamics of homelessness assessment.

8

Publications

236

Citations

14

Authors

7

Institutions

Publications per year

2017–2026

1

Authors

14

  1. EK
    Ethan K. Jackson

    Microsoft (United States), United States

    2 publications · 30 citations

    2

    h-index

  2. GS
    Gabor Simko

    Vanderbilt University, United States

    2 publications · 30 citations

    2

    h-index

  3. JS
    János Sztipanovits

    Vanderbilt University, United States

    2 publications · 30 citations

    2

    h-index

  4. JH
    Joan Hamory

    University of Oklahoma, United States

    1 publications · 14 citations

    1

    h-index

  5. SB
    Sarah Baird

    George Washington University, United States

    1 publications · 14 citations

    1

    h-index

1–5 of 14

Venues

  1. 2

    h-index

  2. The World Bank Economic Review

    1 publications · 49 citations

    1

    h-index

  3. The China Quarterly

    1 publications · 20 citations

    1

    h-index

  4. Journal of Archaeological Science

    1 publications · 24 citations

    1

    h-index

  5. Embedded Software

    Conference · 1 publications · 17 citations

    1

    h-index

1–5