Coding Accuracy Measurement

Coding Accuracy Measurement is a metric that quantifies the degree of correspondence between assigned evaluation codes and a predefined standard or ground truth in qualitative or mixed-methods research, distinguishing it from other evaluation metrics by specifically targeting the precision of coding outcomes.

6

Publications

111

Citations

26

Authors

13

Institutions

Publications per year

2017–2026

4

Authors

26

  1. AN
    Andrey Norkin

    Netflix (United States), United States

    1 publications · 37 citations

    1

    h-index

  2. BK
    B. Kessler

    University of North Carolina at Chapel Hill, United States

    1 publications · 14 citations

    1

    h-index

  3. TD
    Thomas Daede

    1 publications · 37 citations

    1

    h-index

  4. PU
    Pablo Uribe

    University of Chile, Chile

    1 publications · 21 citations

    1

    h-index

  5. AS
    Abbas Sheikhtaheri

    Iran University of Medical Sciences, Iran

    1 publications · 14 citations

    1

    h-index

1–5 of 26

Venues

  1. The Journal of Rehabilitation Research and Development

    JRRD · 1 publications · 14 citations

    1

    h-index

  2. Public Opinion Quarterly

    POQ · 1 publications · 11 citations

    1

    h-index

  3. World Neurosurgery

    1 publications · 14 citations

    1

    h-index

  4. Health Information Management Journal

    HIMJ · 1 publications · 14 citations

    1

    h-index

  5. Journal of Learning Analytics

    1 publications · 21 citations

    1

    h-index

1–5