2013
DOI: 10.1525/mp.2013.31.1.4
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On the Virtuous and the Vexatious in an Age of Big Data

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Cited by 18 publications
(11 citation statements)
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“…Most measures or strategies to reduce one kind of error are often at the cost of increasing the likelihood of the other kind of error [78]. As Huron points out, using a large-scale dataset is the best way to minimize these two kinds of error [79]. The LFM-1b dataset was randomly sampled from all users on last.fm [27], and thus it does not suffer the problem of sampling bias [80].…”
Section: Methodsmentioning
confidence: 99%
“…Most measures or strategies to reduce one kind of error are often at the cost of increasing the likelihood of the other kind of error [78]. As Huron points out, using a large-scale dataset is the best way to minimize these two kinds of error [79]. The LFM-1b dataset was randomly sampled from all users on last.fm [27], and thus it does not suffer the problem of sampling bias [80].…”
Section: Methodsmentioning
confidence: 99%
“…I provide this information not to prove anything, per se; this sort of post-hoc manipulation goes against the basic premise of a p-value, i.e., making a hypothesis and then testing it. Huron (2013) warns specifically against relying too heavily on these sorts of inferences. Nonetheless, this result does suggest a research question that could be tested in future work: Do popular songs that include a smaller variety of chords more often involve modulation, and vice versa?…”
Section: An Interpretation Of the Results From Léveillé Gauvin's Firsmentioning
confidence: 99%
“…Given the wide range and large number of observations, we limited the number of statistical tests in order to minimize the problem of multiple tests. Nevertheless, even informal observations invite the problem of multiple tests (Huron, 2013). Given the sample size and the large number of observations made, correcting for multiple tests would be expected to result in few statistically significant observations.…”
Section: Discussionmentioning
confidence: 99%