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P-Hacking Lexical Richness Through Definitions of “Type” and “Token”
K. Bretonnel Cohen, Lawrence E. Hunter, Peter S. Pressman
1433 - 1434
10.3233/SHTI190470
Research Article
Studies in Health Technology and Informatics
Volume 264: MEDINFO 2019: Health and Wellbeing e-Networks for All
Abstract

“P-hacking” is the repeated analysis of data until a statistically significant result is achieved. We show that p-hacking can also occur during data generation, sometimes unintentionally. We use the type-token ratio to demonstrate that differences in the definitions of “type” and “token” can produce significantly different results. Since these terms are rarely defined in the biomedical literature, the result is an inability to meaningfully interpret the body of literature that makes use of this measure.

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