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P-Hacking Lexical Richness Through Definitions of “Type” and “Token”

“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...

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Detalles Bibliográficos
Autores principales: Cohen, K. Bretonnel, Hunter, Lawrence E., Pressman, Peter S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8956251/
https://www.ncbi.nlm.nih.gov/pubmed/31438167
http://dx.doi.org/10.3233/SHTI190470
Descripción
Sumario:“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.