Type Ii Error

A Type II Error is a type of statistical error in hypothesis testing that occurs when a false null hypothesis is incorrectly not rejected, leading to the failure to detect an effect that is actually present.

870

Publications

80.4K

Citations

2.1K

Authors

982

Institutions

Publications per year

2017–2026

178

Variants

Beta ErrorFalse Negative

Authors

2.1K

  1. DW
    Donald W. Zimmerman

    Carleton University, Canada

    9 publications · 508 citations

    9

    h-index

  2. VY
    Vincent Y. F. Tan

    National University of Singapore, Singapore

    7 publications · 284 citations

    7

    h-index

  3. RM
    Randall M. Peterman

    Simon Fraser University, Canada

    6 publications · 1.9K citations

    6

    h-index

  4. XT
    Xin Tong

    University of Southern California, United States

    4 publications · 120 citations

    4

    h-index

  5. RR
    Rand R. Wilcox

    University of Southern California, United States

    4 publications · 308 citations

    4

    h-index

1–5 of 2.1K

Venues

  1. SSRN Electronic Journal

    Repository · 22 publications · 1.2K citations

    14

    h-index

  2. PubMed

    Repository · 21 publications · 829 citations

    14

    h-index

  3. Educational and Psychological Measurement

    14 publications · 384 citations

    12

    h-index

  4. IEEE Transactions on Information Theory

    12 publications · 491 citations

    12

    h-index

  5. Statistics in Medicine

    11 publications · 770 citations

    11

    h-index

1–5