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About: Data dredging     Goto   Sponge   NotDistinct   Permalink

An Entity of Type : yago:PsychologicalFeature100023100, within Data Space : dbpedia.org associated with source document(s)

Type: yago:WikicatCognitiveBiasesyago:Abstraction100002137yago:Attitude106193203yago:Bias106201908yago:Cognition100023271yago:Inclination106196584yago:Partiality106201136yago:PsychologicalFeature100023100 New Facet based on Instances of this Class

Data dredging (also known as data snooping or p-hacking) is the misuse of data analysis to find patterns in data that can be presented as statistically significant, thus dramatically increasing and understating the risk of false positives. This is done by performing many statistical tests on the data and only reporting those that come back with significant results. Data dredging is an example of disregarding the multiple comparisons problem. One form is when subgroups are compared without alerting the reader to the total number of subgroup comparisons examined.