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.