Theory-Driven Statistics for the Digital Humanities: Presenting Pitfalls and a Practical Guide by the Example of the Reformation
The Digital Humanities face the problem of multiple hypothesis testing: Evermore hypotheses are tested until a desired pattern has been found. This practice is prone to mistaking random patterns for real ones. Instead, we should reduce the number of hypothesis tests to only test meaningful ones. We...
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| Main Author: | |
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| Format: | Article |
| Language: | English |
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Department of Languages, Literatures, and Cultures at McGill University
2023-01-01
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| Series: | Journal of Cultural Analytics |
| Online Access: | https://doi.org/10.22148/001c.57764 |
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