Coding Reliability Assessment

Coding Reliability Assessment is a methodological procedure in qualitative research that systematically evaluates the consistency and stability of coding outcomes across coders or coding instances to ensure interpretive accuracy and trustworthiness in data analysis.

53

Publications

13.3K

Citations

147

Authors

78

Institutions

Publications per year

2017–2026

8

Authors

147

  1. SC
    Sarah C. Nelson

    University of Minnesota, United States

    2 publications · 810 citations

    2

    h-index

  2. MS
    Moin Syed

    University of Minnesota, United States

    2 publications · 810 citations

    2

    h-index

  3. KK
    Klaus Krippendorff

    University of Pennsylvania, United States

    2 publications · 148 citations

    2

    h-index

  4. LC
    Leonard C. Hawes

    The Ohio State University, United States

    1 publications · 33 citations

    1

    h-index

  5. WA
    William A. Griffin

    Arizona State University, United States

    1 publications · 32 citations

    1

    h-index

1–5 of 147

Venues

  1. Field Methods

    4 publications · 2.7K citations

    4

    h-index

  2. Public Opinion Quarterly

    POQ · 4 publications · 173 citations

    4

    h-index

  3. Journal of Personality Assessment

    2 publications · 50 citations

    2

    h-index

  4. Political Analysis

    2 publications · 278 citations

    2

    h-index

  5. Evaluation Review

    2 publications · 74 citations

    2

    h-index

1–5