Standard Error Correction

Standard Error Correction is a statistical method used in multilevel meta-analysis to adjust the precision of effect size estimates by accounting for dependencies among nested effect sizes, thereby ensuring accurate standard error estimation and valid inferential statistics.

148

Publications

28.7K

Citations

330

Authors

198

Institutions

Publications per year

2017–2026

42

Authors

330

  1. MC
    Menzie Chinn

    University of Wisconsin–Madison, United States

    6 publications · 1.1K citations

    6

    h-index

  2. YC
    Yin‐Wong Cheung

    University of California, Santa Cruz, United States

    6 publications · 1.1K citations

    6

    h-index

  3. AZ
    Abdulrasheed Zakari

    Alma Mater Europaea, Slovenia

    3 publications · 237 citations

    3

    h-index

  4. AG
    Antonio García Pascual

    International Monetary Fund, United States

    3 publications · 898 citations

    3

    h-index

  5. AI
    Antonio I. Garcia Pascual

    Ifo Institute for Economic Research, Germany

    3 publications · 172 citations

    3

    h-index

1–5 of 330

Venues

  1. SSRN Electronic Journal

    Repository · 13 publications · 779 citations

    12

    h-index

  2. Educational and Psychological Measurement

    7 publications · 18.4K citations

    7

    h-index

  3. RePEc: Research Papers in Economics

    Repository · 5 publications · 77 citations

    5

    h-index

  4. Applied Economics

    5 publications · 125 citations

    5

    h-index

  5. The Economic Journal

    2 publications · 135 citations

    2

    h-index

1–5