Should We Stop Looking for a Better Scoring Algorithm for Handling Implicit Association Test Data? Test of the Role of Errors, Extreme Latencies Treatment, Scoring Formula, and Practice Trials on Reliability and Validity

Since the development of D scores for the Implicit Association Test, few studies have examined whether there is a better scoring method. In this contribution, we tested the effect of four relevant parameters for IAT data that are the treatment of extreme latencies, the error treatment, the method fo...

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Detalles Bibliográficos
Autores principales: Richetin, Juliette, Costantini, Giulio, Perugini, Marco, Schönbrodt, Felix
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2015
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4481268/
https://www.ncbi.nlm.nih.gov/pubmed/26107176
http://dx.doi.org/10.1371/journal.pone.0129601

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4481268/
https://www.ncbi.nlm.nih.gov/pubmed/26107176
http://dx.doi.org/10.1371/journal.pone.0129601

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