Standard Error Underestimation

Standard Error Underestimation is a statistical phenomenon in which the estimated standard error of a parameter estimator is systematically smaller than its true standard error due to the presence of unaccounted local dependencies among observations, leading to inflated Type I error rates in hypothesis testing.

109

Publications

7.7K

Citations

353

Authors

178

Institutions

Publications per year

2017–2026

19

Authors

353

  1. LG
    Lachlan G. Peeke

    University of Notre Dame, United States

    2 publications · 230 citations

    2

    h-index

  2. HL
    Huy Le

    University of Iowa, United States

    2 publications · 124 citations

    2

    h-index

  3. AD
    A. D. Seroczynski

    University of Notre Dame, United States

    2 publications · 230 citations

    2

    h-index

  4. IO
    In‐Sue Oh

    Temple University, United States

    2 publications · 124 citations

    2

    h-index

  5. FL
    Frank L. Schmidt

    University of Iowa, United States

    2 publications · 124 citations

    2

    h-index

1–5 of 353

Venues

  1. PubMed

    Repository · 4 publications · 178 citations

    4

    h-index

  2. Statistics in Medicine

    3 publications · 75 citations

    3

    h-index

  3. Political Analysis

    3 publications · 1.4K citations

    3

    h-index

  4. Journal of Abnormal Psychology

    2 publications · 230 citations

    2

    h-index

  5. Structural Equation Modeling A Multidisciplinary Journal

    SEM · 2 publications · 130 citations

    2

    h-index

1–5