Error Interpretation

Error Interpretation is a methodological contribution in data interpretation that systematically identifies, classifies, and explains inaccuracies or discrepancies in data, models, or results to improve analytical validity and inferential reliability.

99

Publications

5.1K

Citations

215

Authors

117

Institutions

Publications per year

2017–2026

6

Authors

215

  1. RG
    Richard G. Baraniuk

    Rice University, United States

    3 publications · 193 citations

    3

    h-index

  2. RL
    Roger L. Claypoole

    Rice University, United States

    3 publications · 193 citations

    3

    h-index

  3. RD
    Robert D. Nowak

    University of Wisconsin–Madison, United States

    2 publications · 166 citations

    2

    h-index

  4. RG
    Robert G. Knight

    University of Otago, New Zealand

    2 publications · 55 citations

    2

    h-index

  5. DL
    David L. Streiner

    McMaster University, Canada

    2 publications · 52 citations

    2

    h-index

1–5 of 215

Venues

  1. The American Naturalist

    AN · 2 publications · 136 citations

    2

    h-index

  2. MIS Quarterly

    2 publications · 681 citations

    2

    h-index

  3. Psychological Reports

    2 publications · 52 citations

    2

    h-index

  4. Social Forces

    SF · 2 publications · 169 citations

    2

    h-index

  5. Journal of Consulting and Clinical Psychology

    2 publications · 55 citations

    2

    h-index

1–5