Occupation Coding Reliability

Occupation Coding Reliability is a metric that quantifies the consistency and stability of assigning occupational classifications to individual job records across coders, time, or coding systems, distinguishing it from validity by focusing on reproducibility rather than accuracy.

11

Publications

666

Citations

23

Authors

15

Institutions

Publications per year

2017–2026

1

Authors

23

  1. LF
    Linda Forst

    University of Illinois Chicago, United States

    1 publications · 25 citations

    1

    h-index

  2. PG
    Paul Geyer

    North Carolina State University, United States

    1 publications · 11 citations

    1

    h-index

  3. PE
    Peter Elias

    University of Warwick, United Kingdom

    1 publications · 96 citations

    1

    h-index

  4. DG
    D. Garth Taylor

    National Opinion Research Center, United States

    1 publications · 11 citations

    1

    h-index

  5. MC
    Mary Catherine Schumacher

    University of Utah, United States

    1 publications · 47 citations

    1

    h-index

1–5 of 23

Venues

  1. Public Opinion Quarterly

    POQ · 2 publications · 70 citations

    2

    h-index

  2. American Journal of Industrial Medicine

    1 publications · 16 citations

    1

    h-index

  3. Journal of Official Statistics

    JOS · 1 publications · 25 citations

    1

    h-index

  4. International Journal of Epidemiology

    1 publications · 25 citations

    1

    h-index

  5. JMIR Medical Informatics

    JMI · 1 publications · 25 citations

    1

    h-index

1–5