plotItemErr

my_data

A string of the variable identifying the items

item_name

A string of the variable name for the latency of each trial.

trial_latency

A string of the variable name identifying whether a trial was an error or not (1 = error)

trial_error


Plot proportion of errors in the IAT to see if any items yield high error rates. The data is automatically cleaned
(i.e., trials with RT > 10000 or < 180 are deleted) to avoid over/underinflation of mean error estimates


Implements the standard D-Scoring algorithm
(Greenwald, Banaji, & Nosek, 2003) for Implicit Association Test (IAT)
data and includes plotting capabilities for exploring raw IAT data.

plotItemErr: Plot proportion of errors per item in the IAT

Description

Usage

Arguments