Measurement Of Coding Sensitivity

Measurement of Coding Sensitivity is a systematic metric that quantifies the degree to which a coding process accurately captures the presence of targeted constructs or phenomena in qualitative data, distinguishing it from general coding accuracy by focusing specifically on the minimization of false negatives.

4

Publications

213

Citations

17

Authors

6

Institutions

Publications per year

2017–2026

0

Authors

17

  1. DR
    Dean Reker

    University of Kansas Medical Center, United States

    1 publications · 116 citations

    1

    h-index

  2. SP
    Sheril Perry

    Canadian Institute for Health Information, Canada

    1 publications · 19 citations

    1

    h-index

  3. PW
    Pamela W. Duncan

    Duke University, United States

    1 publications · 116 citations

    1

    h-index

  4. MA
    Mark A. McDaniel

    Washington University in St. Louis, United States

    1 publications · 48 citations

    1

    h-index

  5. DG
    Darren Gerson

    Canadian Institute for Health Information, Canada

    1 publications · 19 citations

    1

    h-index

1–5 of 17

Venues

  1. PubMed

    Repository · 1 publications · 116 citations

    1

    h-index

  2. BMC Health Services Research

    1 publications · 19 citations

    1

    h-index

  3. Journal of Health Communication

    1 publications · 30 citations

    1

    h-index

  4. Memory & Cognition

    1 publications · 48 citations

    1

    h-index

1–4