Data Validity Assessment

Data Validity Assessment is a systematic methodological process that evaluates the extent to which data accurately represent the real-world phenomena they are intended to measure, ensuring correspondence between empirical observations and theoretical constructs.

137

Publications

8.8K

Citations

553

Authors

312

Institutions

Publications per year

2017–2026

69

Authors

553

  1. WW
    Wei Wang

    Imperial College London, United Kingdom

    2 publications · 26 citations

    2

    h-index

  2. JC
    Josip Car

    Imperial College London, United Kingdom

    2 publications · 26 citations

    2

    h-index

  3. CJ
    Christopher J. Borgert

    University of Florida, United States

    2 publications · 81 citations

    2

    h-index

  4. YZ
    Yanfeng Zhang

    Capital Institute of Pediatrics, China

    2 publications · 26 citations

    2

    h-index

  5. XD
    Xiaozhen Du

    Imperial College London, United Kingdom

    2 publications · 26 citations

    2

    h-index

1–5 of 553

Venues

  1. PubMed

    Repository · 4 publications · 91 citations

    3

    h-index

  2. BMC Medical Informatics and Decision Making

    2 publications · 54 citations

    2

    h-index

  3. Prologia

    2 publications · 34 citations

    2

    h-index

  4. Journal of Global Health

    JGH · 2 publications · 26 citations

    2

    h-index

  5. Behavior Research Methods

    BRM · 2 publications · 551 citations

    2

    h-index

1–5