A peculiar prevalence of p values just below .05
In null hypothesis significance testing (NHST), p values are judged relative to an arbitrary threshold for significance (.05). The present work examined whether that standard influences the distribution of p values reported in the psychology literature. We examined a large subset of papers from thre...
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Veröffentlicht in: | Quarterly journal of experimental psychology (2006) 2012-11, Vol.65 (11), p.2271-2279 |
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description | In null hypothesis significance testing (NHST), p values are judged relative to an arbitrary threshold for significance (.05). The present work examined whether that standard influences the distribution of p values reported in the psychology literature. We examined a large subset of papers from three highly regarded journals. Distributions of p were found to be similar across the different journals. Moreover, p values were much more common immediately below .05 than would be expected based on the number of p values occurring in other ranges. This prevalence of p values just below the arbitrary criterion for significance was observed in all three journals. We discuss potential sources of this pattern, including publication bias and researcher degrees of freedom. |
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J.</creatorcontrib><creatorcontrib>Lalande, Daniel R.</creatorcontrib><title>A peculiar prevalence of p values just below .05</title><title>Quarterly journal of experimental psychology (2006)</title><addtitle>Q J Exp Psychol (Hove)</addtitle><description>In null hypothesis significance testing (NHST), p values are judged relative to an arbitrary threshold for significance (.05). The present work examined whether that standard influences the distribution of p values reported in the psychology literature. We examined a large subset of papers from three highly regarded journals. Distributions of p were found to be similar across the different journals. Moreover, p values were much more common immediately below .05 than would be expected based on the number of p values occurring in other ranges. This prevalence of p values just below the arbitrary criterion for significance was observed in all three journals. We discuss potential sources of this pattern, including publication bias and researcher degrees of freedom.</description><subject>Biological and medical sciences</subject><subject>Databases, Bibliographic - statistics & numerical data</subject><subject>Fundamental and applied biological sciences. Psychology</subject><subject>Humans</subject><subject>Hypothesis testing</subject><subject>Prevalence</subject><subject>Probability</subject><subject>Psychology</subject><subject>Psychology. Psychoanalysis. Psychiatry</subject><subject>Psychology. Psychophysiology</subject><subject>Psychometrics. Statistics. Methodology</subject><subject>Publication Bias</subject><subject>Statistical inference</subject><subject>Statistics</subject><subject>Statistics as Topic</subject><subject>Statistics. 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Psychology</topic><topic>Humans</topic><topic>Hypothesis testing</topic><topic>Prevalence</topic><topic>Probability</topic><topic>Psychology</topic><topic>Psychology. Psychoanalysis. Psychiatry</topic><topic>Psychology. Psychophysiology</topic><topic>Psychometrics. Statistics. Methodology</topic><topic>Publication Bias</topic><topic>Statistical inference</topic><topic>Statistics</topic><topic>Statistics as Topic</topic><topic>Statistics. Mathematics</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Masicampo, E. 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subjects | Biological and medical sciences Databases, Bibliographic - statistics & numerical data Fundamental and applied biological sciences. Psychology Humans Hypothesis testing Prevalence Probability Psychology Psychology. Psychoanalysis. Psychiatry Psychology. Psychophysiology Psychometrics. Statistics. Methodology Publication Bias Statistical inference Statistics Statistics as Topic Statistics. Mathematics |
title | A peculiar prevalence of p values just below .05 |
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