Differentiation Of Error Sources

Differentiation of Error Sources is a methodological framework within multifacet designs that enables the systematic identification and separation of distinct origins of measurement or observational error to enhance the validity and interpretability of empirical results.

18

Publications

1K

Citations

36

Authors

18

Institutions

Publications per year

2017–2026

2

Authors

36

  1. DK
    David Klahr

    Carnegie Mellon University, United States

    2 publications · 99 citations

    2

    h-index

  2. AM
    Amy M. Masnick

    Hofstra University, United States

    2 publications · 99 citations

    2

    h-index

  3. BF
    Bernard Francq

    UCLouvain, Belgium

    1 publications · 40 citations

    1

    h-index

  4. KM
    Koji Matsumoto

    National Astronomical Observatory of Japan, Japan

    1 publications · 24 citations

    1

    h-index

  5. NK
    Naoki Kawano

    Nara Institute of Science and Technology, Japan

    1 publications · 24 citations

    1

    h-index

1–5 of 36

Venues

  1. Physical Review

    5 publications · 454 citations

    5

    h-index

  2. Journal of Cognition and Development

    2 publications · 99 citations

    2

    h-index

  3. NeuroImage

    2 publications · 99 citations

    2

    h-index

  4. Science

    1 publications · 55 citations

    1

    h-index

  5. 1

    h-index

1–5