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
or looking at the function on github: github.com/dpmartin42/IAT/blob/master/R/cleanIAT.R Or perhaps see whether the author, Dan, would post an answer here: dpmartin42.github.io $\endgroup$ – Jeromy Anglim♦ Nov 25 '15 at 4:07