Data Interpretation Assessment

Data Interpretation Assessment is a form of scientific assessment that evaluates an individual's ability to analyze, synthesize, and draw valid conclusions from empirical data, distinguishing it from other assessment types by its focus on reasoning processes applied to observed or experimental data.

19

Publications

2.9K

Citations

67

Authors

37

Institutions

Publications per year

2017–2026

6

Authors

67

  1. RC
    Ronald C. Serlin

    University of Wisconsin–Madison, United States

    2 publications · 40 citations

    2

    h-index

  2. JR
    Joel R. Levin

    University of Wisconsin–Madison, United States

    2 publications · 40 citations

    2

    h-index

  3. GM
    Gianmarco Mengaldo

    Imperial College London, United Kingdom

    1 publications · 112 citations

    1

    h-index

  4. HC
    Hikmet Can Çubukçu

    Ankara University, Türkiye

    1 publications · 16 citations

    1

    h-index

  5. BJ
    Brian J. Rybarczyk

    University of North Carolina at Chapel Hill, United States

    1 publications · 14 citations

    1

    h-index

1–5 of 67

Venues

  1. Journal of Educational Statistics

    2 publications · 40 citations

    2

    h-index

  2. arXiv (Cornell University)

    Repository · 2 publications · 52 citations

    2

    h-index

  3. Psychological Bulletin

    1 publications · 58 citations

    1

    h-index

  4. Journal of Biological Education

    1 publications · 69 citations

    1

    h-index

  5. Mathematical Thinking and Learning

    1 publications · 15 citations

    1

    h-index

1–5