Open AccessStatistical Significance Tests are Unnecessary Even When Properly Done and Properly Interpreted: Reply to Commentaries
Author(s) -
J. Scott Armstrong
Publication year - 2008
Publication title -
ssrn electronic journal
Language(s) - English
Resource type - Journals
ISSN - 1556-5068
DOI - 10.2139/ssrn.1153121
Subject(s) - econometrics , statistical hypothesis testing , computer science , statistics , economics , mathematics
The three commentators on my paper agree that statistical tests are often improperly used by researchers and that even when properly used, readers misinterpret them. These points have been well established by empirical studies. However, two of the commentators do not agree with my major point that significance tests are unnecessary even when properly used and interpreted.
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