Implicit Association Test Scores Using Robust Statistics

Compute several variations of the Implicit Association Test (IAT) scores, including the D scores (Greenwald, Nosek, Banaji, 2003, ) and the new scores that were developed using robust statistics (Richetin, Costantini, Perugini, and Schonbrodt, 2015, ).


News

IAT scores 0.2.1

  • Added several new functions, to easily implement the most common D scores

  • Improved help files with examples

IATscores 0.2.0

  • Excluding participants with too few responses is now optional, implemented in option autoremove

  • replaced calls to rbind_all() with bind_rows()

  • Removed dependency on nem to prevent issues during installation

  • bug fix when P4 = "dist". thanks to Geraldine Escriva

Reference manual

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install.packages("IATscores")

0.2.1 by Giulio Costantini, 10 months ago


Browse source code at https://github.com/cran/IATscores


Authors: Giulio Costantini


Documentation:   PDF Manual  


GPL-2 license


Imports stringr, dplyr, reshape2, qgraph, methods

Suggests nparcomp


See at CRAN