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...
26 KB (3,305 words) - 22:26, 11 November 2024
related terms data dredging, data fishing, and data snooping refer to the use of data mining methods to sample parts of a larger population data set that are...
46 KB (4,998 words) - 23:51, 18 October 2024
Misuse of statistics (redirect from Data manipulation)
testing is a misuse of statistics. Data dredging is an abuse of data mining. In data dredging, large compilations of data are examined in order to find a...
44 KB (5,949 words) - 11:28, 2 November 2024
up dredge in Wiktionary, the free dictionary. Dredge or dredging may refer to: Data dredging, the misuse of data analysis to find patterns in data Dredg...
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Anscombe's quartet, on importance of exploration Data dredging Predictive analytics Structured data analysis (statistics) Configural frequency analysis...
19 KB (2,204 words) - 06:12, 3 November 2024
Post hoc analysis (category Data analysis)
without adequate consideration of this problem is sometimes called data dredging by critics because the statistical associations that it finds are often...
5 KB (427 words) - 13:05, 13 April 2024
looking back through already-gathered data to find support (and disregarding unsupportive data)—is known as data dredging (see also Texas sharpshooter fallacy...
21 KB (2,168 words) - 08:45, 21 November 2024
Testing hypotheses suggested by the data Texas sharpshooter fallacy Model selection Look-elsewhere effect Data dredging Miller, R.G. (1981). Simultaneous...
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suggested by the data while avoiding the fallacy described above. Bonferroni correction Data analysis Data dredging Exploratory data analysis HARKing...
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By around 2019 it had been renamed GOP Data Center. Cambridge Analytica Catalist Civis Analytics Data dredging Get out the vote Herd behaviour Right-wing...
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many degrees of freedom. In contrast to fishing expeditions such as data dredging where only expected or apparently-significant results are published...
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scored a minor chart hit with the song that same year. Birthday problem Data dredging The Dark Side of the Rainbow Kennedy curse "Historical Notes: A Compendium...
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significant Data dredging, also known as p-hacking or p-fishing, is misuse of data, through myriad techniques, to find support for hypotheses that the data is...
179 KB (20,586 words) - 02:30, 21 November 2024
their practices to ensure statistically significant results, such as by data dredging. Many factors contribute to publication bias. For instance, once a scientific...
34 KB (3,920 words) - 04:17, 13 November 2024
other keys, such as long-term economic growth, could be examples of data dredging or overfitting, and expressed concern that "[i]t’s less that he has...
133 KB (11,181 words) - 21:34, 22 November 2024
"is quite flimsy", the filmmakers indulge in confirmation bias and data dredging, and "some of the research cited on behalf of veganism is funded by...
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information Confirmation bias – Bias confirming existing attitudes Data dredging – Misuse of data analysis, also known as p-hacking HARKing – Acronym for "Hypothesizing...
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to be generated. However, researcher degrees of freedom can lead to data dredging and other questionable research practices where the different interpretations...
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United States. Cambridge Analytica Catalist Contingency table Data dredging Dan Wagner (data scientist) The Groundwork Harper Reed Herd behavior Left-wing...
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A number of research practices such as p-hacking, publication bias, data dredging, inappropriate forms of post hoc analysis, and HARKing may increase...
59 KB (6,193 words) - 11:32, 19 October 2024
problems such as data dredging; alternative propositions are thus to select and justify flexible p-value thresholds before collecting data, or to interpret...
38 KB (4,059 words) - 02:19, 27 June 2024
model on an independent data set, as in the PRESS procedure. Critics regard the procedure as a paradigmatic example of data dredging, intense computation...
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the registered report format, which aims to counteract issues such as data dredging and hypothesizing after the results are known. For example, Nature Human...
36 KB (3,929 words) - 13:43, 7 November 2024
gene that is related to a trait, poor methodological practices, and data dredging. Suitable candidate genes are generally selected based on known biological...
23 KB (2,679 words) - 22:04, 2 December 2023
significantly exceed the sample size. Bias–variance tradeoff Curve fitting Data dredging Feature selection Feature engineering Freedman's paradox Generalization...
25 KB (2,835 words) - 18:21, 16 November 2024
important findings. In response to concerns about publication bias and data dredging (conducting a large number of statistical tests on a great many variables...
239 KB (26,921 words) - 18:03, 16 November 2024
inconvenient data by removing strongly-correlated variables from their regression. This procedure falls into the broader categories of p-hacking, data dredging, and...
21 KB (2,377 words) - 05:21, 1 November 2024
Statistical analysis phenomenon Data dredging – Misuse of data analysis Testing hypotheses suggested by the data – Problem of circular reasoning in statistics...
27 KB (3,366 words) - 12:59, 24 October 2024
software Data dredging Data fusion Data generating process Data mining Data reduction Data point Data quality assurance Data set Data-snooping bias Data stream...
87 KB (8,285 words) - 04:29, 7 October 2024