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Misuse of statistical tests in publications
Author(s) -
Philip Schatz,
Kristin L. Jay,
Janet M. McComb,
J. McLaughlin
Publication year - 2005
Publication title -
archives of clinical neuropsychology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.909
H-Index - 98
eISSN - 1873-5843
pISSN - 0887-6177
DOI - 10.1016/j.acn.2005.06.006
Subject(s) - null hypothesis , statistical inference , neuropsychology , statistical hypothesis testing , psychology , type i and type ii errors , statistical significance , inference , task (project management) , neglect , statistics , econometrics , cognitive psychology , computer science , psychiatry , artificial intelligence , mathematics , cognition , management , economics
This article reviews the (mis)use of statistical tests in neuropsychology research studies published in the Archives of Clinical Neuropsychology in the years 1990-1992 and 1996-2000, and 2001-2004, prior to, commensurate with the internet-based and paper-based release, and following the release of the American Psychological Association's Task Force on Statistical Inference. The authors focused on four statistical errors: inappropriate use of null hypothesis tests, inappropriate use of P-values, neglect of effect size, and inflation of Type I error rates. Despite the recommendations of the Task Force on Statistical Inference published in 1999, the present study recorded instances of these statistical errors both pre- and post-APA's report, with only the reporting of effect size increasing after the release of the report. Neuropsychologists involved in empirical research should be better aware of the limitations and boundaries of hypothesis testing as well as the theoretical aspects of research methodology.

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