Has anyone used cleanIAT (function in IAT package) to compute D-scores for their IAT data? Have you noticed any discrepancies between your D-scores and those of colleagues that used another program (e.g., SPSS) to clean the same data? Can anyone describe each column in cleanIAT s output?While the manual says:Outputs a dataframe that must be saved to an object. The variable IAT is the   calculated D-Score for each individual. SUBEXCL notes any exclusion  criteria, with 0 being inclusion data, 1 for exclusion due to fast  response, and 2 for exclusion due to missing blocks. C indicates  standard deviation for combined blocks (correct trial only), while A  indicates standard deviations for combined blocks (all trials). M  (mean), E (percent error), N (number of trials used), and F (percent  fast responses), are reported for each block included in the original  dataframe.There are a number of columns that are in the output that aren't explained in the documentation. For example, there are three IAT scores (3 D-scores?). And there are 2 S scores and 2 C scores.I'd like to start an ongoing discussion about this because the package isn't mentioned at all in forums and cleanIAT gives zero results in Google Scholar.
cleanIAT function in R IAT package
cognitive psychology;social psychology;statistics;software;social cognition