Type I Error Rate

Type I Error Rate is the probability of incorrectly rejecting a true null hypothesis in a statistical test, representing the rate at which false positive conclusions are made.

302

Publications

23.4K

Citations

651

Authors

379

Institutions

Publications per year

2017–2026

78

Variants

Alpha LevelSignificance Level

Authors

651

  1. JA
    James Algina

    University of Florida, United States

    11 publications · 270 citations

    10

    h-index

  2. SO
    Stephen Olejnik

    University of Georgia, United States

    5 publications · 83 citations

    5

    h-index

  3. PG
    Peter Grünwald

    Centrum Wiskunde & Informatica, Netherlands

    4 publications · 136 citations

    4

    h-index

  4. LH
    Leonhard Held

    University of Zurich, Switzerland

    4 publications · 72 citations

    4

    h-index

  5. MJ
    Mark J. van der Laan

    University of California, Berkeley, United States

    3 publications · 380 citations

    3

    h-index

1–5 of 651

Venues

  1. Statistics in Medicine

    14 publications · 598 citations

    12

    h-index

  2. Educational and Psychological Measurement

    8 publications · 235 citations

    8

    h-index

  3. Psychological Bulletin

    7 publications · 417 citations

    7

    h-index

  4. 7

    h-index

  5. 7

    h-index

1–5