In an unprecedented move, the American Statistical Association recently released a statement (March 7 2016) warning against how p-values are currently used. “Significant”: an illustration of selective reporting and In their recent article P-values: Misunderstood and Misused OII Research Fellow Taha Yasseri and doctoral student Bertie Vidgen argue that we need to make standards for interpreting p-values more stringent, and also improve transparency in the academic reporting process, if we are to maximise the value of statistical analysis. Many have argued that, as a result, research is wrong far more often than we realize. Yet they are widely criticized for being easily hacked, and for not telling us what we want to know. P-values are widely used in the social sciences, especially ‘big data’ studies, to calculate statistical significance.
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