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.
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28.7K
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330
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198
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2017–2026
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Hettie A. Richardson, Marcia J. Simmering, Michael C. Sturman · Organizational Research Methods · 2009 · 1.6K citations · Full text
Valid <i>t</i>-ratio Inference for IV
David S. Lee, Justin McCrary, Marcelo J. Moreira et al. · American Economic Review · 2022 · 307 citations
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International Monetary Fund
Washington D.C., United States
8 h-index
10 publications
1.4K citations

National Bureau of Economic Research
Cambridge, United States
5 h-index
5 publications
252 citations
University of Wisconsin–Madison
Madison, United States
5 h-index
5 publications
967 citations
Federal Reserve Board of Governors
Washington D.C., United States
4 h-index
6 publications
602 citations
University of California, Santa Cruz
Santa Cruz, United States
4 h-index
4 publications
902 citations
Columbia University
New York, United States
4 h-index
4 publications
437 citations
Federal Reserve
Washington D.C., United States
4 h-index
6 publications
602 citations
Ifo Institute for Economic Research
Munich, Germany
3 h-index
3 publications
172 citations
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Repository · 13 publications · 779 citations
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Repository · 5 publications · 77 citations
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5 publications · 125 citations
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2 publications · 135 citations
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