Data Reliability Assessment

Data Reliability Assessment is a systematic methodological process that evaluates the consistency, accuracy, and trustworthiness of data across conditions or measurements to ensure its validity for interpretation and decision-making within empirical research.

44

Publications

8.3K

Citations

115

Authors

57

Institutions

Publications per year

2017–2026

7

Authors

115

  1. KK
    Klaus Krippendorff

    University of Pennsylvania, United States

    4 publications · 2.6K citations

    4

    h-index

  2. RT
    Roland T. Rust

    University of Maryland, College Park, United States

    2 publications · 1.2K citations

    2

    h-index

  3. BC
    Bruce Cooil

    Vanderbilt University, United States

    2 publications · 1.2K citations

    2

    h-index

  4. PA
    Philip Asherson

    King's College London, United Kingdom

    1 publications · 23 citations

    1

    h-index

  5. SJ
    Suzanne Jak

    University of Amsterdam, Netherlands

    1 publications · 30 citations

    1

    h-index

1–5 of 115

Venues

  1. Journal of Marketing Research

    2 publications · 1.2K citations

    2

    h-index

  2. Journal of Nursing Measurement

    1 publications · 24 citations

    1

    h-index

  3. IEEE Transactions on Knowledge and Data Engineering

    TKDE · 1 publications · 41 citations

    1

    h-index

  4. Applied Measurement in Education

    1 publications · 30 citations

    1

    h-index

  5. Applied Ergonomics

    1 publications · 64 citations

    1

    h-index

1–5