Significance Level Selection
Significance Level Selection is the methodological decision process of specifying a threshold probability for rejecting the null hypothesis in statistical hypothesis testing, distinguishing it from related inferential procedures by determining the criterion for statistical significance.
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80
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2017–2026
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Maximally Selected Chi Square Statistics
Rupert G. Miller, David Siegmund · Biometrics · 1982 · 493 citations
Choosing Outcomes of Significance.
William G. Spady · Educational leadership · 1994 · 130 citations
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University of California, Berkeley
Berkeley, United States
2 h-index
2 publications
406 citations
University of Iowa
Iowa City, United States
2 h-index
3 publications
791 citations
University of Wisconsin–Madison
Madison, United States
2 h-index
3 publications
255 citations
Northwestern University
Evanston, United States
2 h-index
2 publications
36 citations
University of Chicago
Chicago, United States
2 h-index
2 publications
28 citations
University of California, Los Angeles
Los Angeles, United States
2 h-index
2 publications
28 citations
University of Michigan
Ann Arbor, United States
2 h-index
2 publications
28 citations
Fred Hutch Cancer Center
Seattle, United States
2 h-index
2 publications
56 citations
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3 publications · 60 citations
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3 publications · 593 citations
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2 publications · 406 citations
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Repository · 2 publications · 56 citations
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